Nanomedicine enables advanced therapeutics, diagnostics, and predictive analysis, enhancing treatment outcomes and patient care. The choices and development of high-quality organic nanoparticles with relatively lower toxicity are important for achieving advanced medical goals. Among organic molecules, proteins have been prospected as smart candidates to revolutionize nanomedicine due to their inherent fascinating features. The advent of protein nanoarchitectures, which explore the biomolecular corona, offers new insights into their efficient tissue penetration and therapeutic potential. This review examines various animal- and plant-based protein nanoparticles, highlighting their source, activity, products, and unique biomedical applications in regenerative medicine, targeted therapies, gene and drug delivery, antimicrobial activity, bioimaging, immunological adjuvants, etc. It provides an extensive discussion on recent applications of protein nanoparticles across diverse biomedical fields as well as the evolving landscape of other nanoproducts and nanodevices for sensitive medical procedures. Furthermore, this review introduces different preparation technologies of protein nanoparticles, emphasizing how their design and construction significantly influence loading capacity, stability, and targeting effects. Additionally, we delve into the construction of different user-friendly multifunctional modular bioarchitectures by the assembly of protein nanoparticles (PNPs), marking a significant breakthrough in therapies. This review also considers the challenges of synthetic nanomaterials and the emergence of natural alternatives, which provides insights into protein nanoparticle research.

Heterocyclic compounds are of great interest in our daily lives. They are widely distributed in nature and are synthesized in laboratories. Heterocycles play an important role in the metabolism of all living cells, including vitamins and coenzyme precursors like thiamine and riboflavin. Furthermore, heterocyclic systems are essential building blocks for creating innovative materials with intriguing electrical, mechanical, and biological properties. Also, more than 85% of all biologically active chemical entities comprise a heterocycle. As a result, heterocycle synthesis piqued researchers’ curiosity, and in recent decades, chemists have concentrated more on nitrogen-containing cyclic nuclei in structures. Quinoline and its derivatives exhibit several biological functions, including antimicrobial, anticancer, antimalarial, anti-inflammatory, antihypertensive, and antiasthmatic effects. In addition, over a hundred quinoline-based drugs are available to treat a variety of disorders. Because of its biological importance, researchers developed one-pot synthetic methods employing effective acid/base catalysts (Lewis acids, Brønsted acids, and ionic liquids), reagents, and transition-metal-based catalysts. These methods have some downsides, including longer reaction times, harsher reaction conditions, creation of byproducts, costly catalysts, use of hazardous solvents, an unacceptable economic yield, and catalyst recovery. Researchers’ focus has switched to creating environmentally friendly and effective methods for the synthesis of quinoline derivatives as a result of these methodologic shortcomings. Because of its special qualities, the use of nanocatalysts or nanocomposites offers an option for the effective synthesis of quinolines. This review focuses on the published research articles on nanocatalysts to synthesize substituted quinoline derivatives. This review covers all contributions until May 2024, focusing on quinoline ring building and mechanistic issues. With the aid of this review, we anticipate that synthetic chemists will be able to develop more effective methods of synthesizing quinolines.

Potentially toxic element (PTE) pollution as a result of industrial activities remains a global problem that poses serious threats to human and ecological health. PTEs (Al, Fe, Ti, Mn, V, Zn, Cu, Cr, Ni, Pb, Co, and As) are metals or metalloids with biological toxicity. This study analyzed the concentrations of these PTEs and the physicochemical properties of topsoil samples collected from areas near industrial districts in the Samsun province of Turkey to evaluate ecological and health risks, estimating various indexes. The average concentrations of Al, Fe, Ti, Mn, V, Zn, Cu, Cr, Ni, Pb, Co, and As analyzed in 23 topsoil samples by energy-dispersive X-ray fluorescence spectrometry were found as 93,822, 82,410, 6623, 1642, 406, 278, 207, 149, 78, 68, 32, and 10 mg/kg dry weight, respectively. Zn, Cu, Cr, Ni, Pb, and Co levels exceed the maximum contaminant levels in the Turkish Regulation on the Control of Soil Pollution. The average pH values, organic matter, total organic carbon, and nitrogen measured in soil samples were 7.14, 6.11, 0.96, and 0.04%, respectively. The ecological and health evaluation reveals that the studied area is polluted with V, Cu, Zn, As, Ni, and Pb, which may pose a risk to people living in settlements near the industrial district.

Phase change material (PCM) stores latent heat energy, and poly(ethylene glycol) (Mw: 4000) (PEG 4000) is also a solid–liquid PCM. PEG and poly(lactic acid) (PLA) polymers are biodegradable. Essential oils are known as plant extracts with antimicrobial properties. In this study, daphne essential oil (DEO) obtained by the distillation method and PLA/PEG/DEO composite nanofibers were prepared by the electrospinning method with PLA, PEG 4000, and daphne (Laurus nobilis L.) essential oil in certain ratios (100/100/20, 100/120/20, and 100/150/20). DEO showed an antibacterial effect against Staphylococcus aureus and Escherichia coli bacteria. Thermal behaviors of the nanofibers were characterized by differential scanning calorimetry and thermogravimetric analysis. Morphological features were observed by scanning electronic microscopy (SEM), crystal behavior by X-ray diffraction analysis, and molecular structures were examined by Fourier transform infrared spectroscopy. Essential oil composition was determined by GC–MS. The thermal decomposition temperatures of the nanofibers were found between 250 and 276 °C, and the latent heat storage energies of nanofibers were 69.06, 86.76, and 96.39 J g^–1 at temperatures 59.0 and 54.37 °C. High PCM added fiber was observed as 182 nm diameter with 3.264 μm diameter spheres. The produced nanofiber matrix has the potential to be used in applications such as medicine, textile, and hot food logistics.

In the current study, it was intended to prepare liquisolid tablets of pioglitazone HCl to improve the bioavailability and dissolution time of the drug, as it has low solubility in water. Mathematical formulas were adopted, and the quantities of the carrier (MCC), coating material (colloidal silicon dioxides), and nonvolatile liquid vehicle (Tween 80) were taken. Various ratios of the drug to liquid and carrier to coating had been used in the formulation of liquisolid compacts. The evaluation of the formulated liquisolid compacts was done by performing FTIR, DSC, XRD, and SEM studies. Postcompression parameters, dissolution, stability, and bioavailability were accessed for the optimized formulation. FTIR and DSC studies showed the compatibility of the drugs and excipients. XRD revealed the transition to the amorphous state. It was found that the properties of the newly manufactured liquisolid tablets were within the parameters of what is considered acceptable. The optimized formulation of LST10 showed 99.87 ± 0.19% (p < 0.05) pioglitazone released within 60 min of dissolution. Dissolution data treatments (Q₁₅, IDR, RDR, %DE, MDT, f₁, and f₂) resulted in better drug release than other drugs studied and marketed tablet formulations. The optimized formulation produced had been proven stable when it was subjected to accelerated stability testing. This suggested that the bioavailability of pioglitazone was enhanced, as indicated by the substantial increase in AUC_0–t (3.06-fold) and C_max (4.18-fold). According to the findings, the selected combination and method significantly increased the dissolution time and bioavailability of pioglitazone. Moreover, this developed method can be used for other drugs with low water solubility.

Due to the low permeability of shales, drilling fluid filtrate is very likely to intrude into the formation along the nanomicron pore joints of shale, leading to microfracture expansion and causing a well wall destabilization phenomenon. Based on the characteristics of the formation shale, a new nano plugging agent, styrene (St)/2-acrylamido-2-methylpropanesulfonic acid (AMPS)/ethyl acrylate (EA), was synthesized by emulsion polymerization using St, EA, and AMPS as reaction monomers. The analysis results using infrared spectroscopy and transmission electron microscopy showed that the product met the expected design. The particle size of the nano plugging agent St/AMPS/EA was mainly concentrated in the range of 50–130 nm. Thermogravimetric analysis revealed that the initial thermal decomposition temperature of St/AMPS/EA is 363.8 °C, indicating strong thermal stability. At a 3% concentration, the permeability of the mud cake decreased by 87.35%, and the maximum differential stress of the shale increased from 141.7 to 174.4 MPa. Stability analysis showed that the plugging agent maintained good plugging performance under various pH values and salinity conditions with fluid loss consistently around 3.2 mm. This nano plugging agent significantly improves wellbore stability, making it suitable for drilling in the Longmaxi Formation shale with developed microfractures, and provides valuable insights for similar formations.

High energy materials (HEMs) play pivotal roles in diverse military and civil-commercial sectors, leveraging their substantial energy generation. Integrating machine learning (ML) into HEM research can expedite the discovery of high-energy compounds, complementing or replacing traditional experimental approaches. This manuscript presents an application of our in-house Iterative Stochastic Elimination (ISE) algorithm to identify HEMs. ISE is a generic algorithm that produces reasonable solutions for highly complex combinatorial problems. In molecular discovery, ISE focuses on physicochemical properties to distinguish between different classes of molecules. Due to its long track record in discovering novel, highly active biomolecules, we decided to apply ISE to another type of molecular discovery: High-energy materials. Two distinct ISE models, Model A (92 HEMs) and Model B (169 HEMs), integrated non-HEMs for comprehensive analysis. The results showcase significant achievements for both Models A and B. Model A identified 69% of active molecules in Model B, of which 62% had the highest score. Model B identified 80% of active molecules in Model A, with 61% having the highest score among those 80%. Subsequently, Model C was developed, merging all active molecules (261) from Models A and B. Statistical data indicate that Model C is a high-quality model. It was used to screen and score nearly 2 million molecules from the Enamine database. We find 66 molecules with the highest score of 0.89, plus 8 with that score which are active molecules included in the learning set of Model C. From the 66 molecules, 21 (32%) contain at least one nitro group. In conclusion, this study positions the ISE algorithm as a potential tool for discovering novel HEM candidates, offering a promising pathway for efficient and sustainable advancements in high-energy materials research.

Porous boron nitrides possess beneficial properties such as high thermal and chemical stability which are critical for applications in adsorption processes. In order to assess possible fields of applications, trace-level adsorption isotherms of different hydrocarbons on two synthesized porous boron nitrides and two commercial activated carbons are compared. By normalizing the adsorptive loadings on the micropore surface area, superior adsorption performances of the BN materials on polar and aromatic adsorptives with up to 50% higher loadings compared to the activated carbons can be shown. Nonpolar adsorptives, on the other hand, feature higher specific loadings on the activated carbon. Consequently, the size of the micropore surface appears to be decisive for nonpolar adsorptives, while the higher polarity of the boron nitrides is the dominant influencing factor for the adsorption of polar and aromatic components. For an energetic study of the adsorbents, calorimetric experiments were performed to identify and discuss adsorbent-adsorptive interactions. While the initial heat of adsorption of the nonpolar n-hexane is lower on the boron nitride than on the activated carbon due to a less favorable spatial arrangement, toluene shows comparable values on both adsorbent classes and the polar acetone shows higher values on the polar boron nitride. Considering technical applications in adsorption technology, the thermal stability of the boron nitrides is investigated using spontaneous ignition temperatures and points of initial oxidation. Here, the porous boron nitrides with oxidation temperatures above 900 °C show about 400 °C higher values and thus a significantly higher thermal stability.

Heavy metals resulting from human activities pose significant threats to human health and the soil ecosystem. In the current study, 917 soil samples from Chongming Island in Shanghai, China, were examined for eight heavy metals. The sources of contamination were identified by using a Positive Matrix Factorization (PMF) model. Meanwhile, spatial interpolation and Moran’s I index were applied to validate the model in terms of spatial linkages. The results revealed that the average concentrations of As, Cd, Hg, Pb, Cr, Cu, Zn, and Ni in the soil were 8.87, 0.19, 0.06, 28.75, 76.01, 37.74, 88.93, and 30.33 mg kg^–1, respectively. The PMF analysis proved that heavy metals in the soil of the study area are mainly influenced by traffic sources (Cr and Pb), industrial sources (Zn, Cd, and Cu), station sources (Hg), and natural sources (As and Ni), with contribution rates of 22.23, 26.25, 36.38, and 15.14%, respectively. The combination of Moran’s index and the spatial analysis method not only verified the analytical results of the receptor model on the one hand but also served as a supplementary explanation for the sources of heavy metals in the soil. The health risk assessment indicated that noncarcinogenic values were below the threshold values. The total carcinogenic risk (R_T) of different heavy metals has a descending order of Cr > As > Ni > Cd. The R_T values of multiple heavy metals for children and adults were 5.28 × 10^–04 and 4.10 × 10^–05, respectively, which were close to the risk threshold. Therefore, attention should be paid to the health risks, especially for children’s skin contact, which is the main exposure pathway.

This manuscript explores the synthesis of new cyclo-peroxide compounds (CPs) through a systematic approach involving 10 different ketones and two concentrations of H₂O₂. Following spectroscopic analysis and calorimetric tests on 10 selected compounds, the percentage of Power Index (%PI) was calculated. The study introduces a computational methodology based on the Iterative Stochastic Elimination (ISE) algorithm. The newly constructed ISE model, with demonstrated robust predictive capabilities indicated by its statistical parameters, was employed to screen and score the CPs, assessing their potential as energetic materials. Comparison between %PI obtained experimentally, and the ISE index derived computationally revealed consistent assessments of the new CPs’ energetic potential. The research emphasizes that, particularly in the synthesis of cyclic peroxides, the ISE model is a preferable and efficient tool for predicting a compound’s potential as an energetic substance. Utilizing the ISE model ensures faster, more cost-effective, and safer decision-making in experimental examinations, focusing attention only on compounds with the highest ISE scores. Furthermore, the manuscript suggests an intriguing avenue for future research by proposing the investigation of ester nitrates. The study advocates a comprehensive approach that combines experimental methods (synthesis, spectroscopy, and DSC) with computational evaluation using the ISE model to identify potential high-energy compounds. This integrated approach promises to enhance the efficiency and reliability of the energetic materials discovery process.

Since the emergence and rapid dissemination of Coronavirus disease 2019 (COVID-19), over 774 million individuals globally have achieved recovery to today. There is some case flashing into here and there all over the world. Neutralizing Antibody (NAb) against Severe Acute Respiratory Syndrome Coronavirus-Type 2 (SARS-CoV-2) play a paramount role in conferring effective and lasting protection for several months. This protective effect decreases with time thus increasing the chance of reinfection. Therefore, we can provide the body with a lasting protective effect by maintaining NAb level. However, how to maintain Nab level remains elusive. To address this question, we recruited 80 patients with confirmed COVID-19 and collected 480 consecutive blood samples and performed NAb testing six months after their recovery. The NAb level were categorized into two groups: a low-titer NAb group (≤20) and a high-titer NAb group (>20). To achieve a comprehensive understanding of the changes in NAb level, 16 serum samples were randomly selected for an untargeted metabolomic analysis, whereas 9 samples were designated for a label-free proteomic analysis. We successfully identified differentially expressed 751 metabolites and 845 proteins. In both the low and high NAb titer groups, we identified three key differential proteins, phosphoglucose translocase 2(PGM2), UDP-Glc 4-epimerase (GALE), and alcohol dehydrogenase 1B (ADH1B), that play important roles in fluctuating NAb level through the glycogen synthesis, galactose metabolism and ethanol degradation pathways. These three key differential proteins may serve as potential biomarkers for maintaining NAb level and enhancing immune protection in patients recovering from COVID-19.

The conversion of 5-hydroxymethylfurfural (HMF) into valuable chemicals, such as 2,5-furandicarboxylic acid (FDCA), is pivotal for sustainable chemical production, offering a renewable pathway to biodegradable plastics and high-value organic compounds. This pioneering study explores the synthesis of FeNi nanostructures via aerosol-assisted chemical vapor deposition (AACVD) for the electrochemical oxidation of HMF to FDCA. By adjusting the deposition time, we developed two distinct nanostructures: FeNi-40, which features nanowires with spherical terminations, and FeNi-80, which features aggregated spherical structures. X-ray diffraction (XRD) confirmed that both nanostructures possess a phase-pure face-centered cubic (FCC) crystal structure. Electrochemical tests conducted using FeNi nanocatalysts on Ni foam revealed that FeNi-40 requires a significantly lower onset potential for HMF oxidation (1.32 V vs RHE) compared to FeNi-80 (1.40 V vs RHE). This difference is attributed to the unique nanowire morphology of FeNi-40, which provides a higher density of active sites and a larger electrochemically active surface area, thereby enhancing the efficiency of the electrochemical process. When tested in an H-type electrolyzer with a Nafion membrane, FeNi-40 demonstrated a remarkable Faradaic efficiency of 96.42% and a high product yield, underscoring the potential of morphology-controlled FeNi nanostructures to enhance the efficiency of sustainable electrochemical processes significantly.

Strong anisotropy exhibited by materials, particularly in their low-dimensional forms, is a highly intriguing characteristic. In this study, we investigate the effects of geometrical potential and thermodynamics on the electronic properties of monolayer monochalcogenide charge carriers. First, the geometrical potential is introduced in a monolayer structure. We discuss the Fermi surface topology of materials and the effects of the geometrical potential on the low energy bands of 2D group-IV monochalcogenides around the Γ-point. Then, the temperature dependence of the carrier mobility of the monolayer is discussed along with predictions for its potential applications as nanomaterials.

Suberin, a common biomass processing waste, is a complex biopolymer and a promising source for the biorefinery of chemicals. Six different approaches for the extraction of birch outer bark suberin fatty acids (SFAs) were explored, and their application in grafting the surface of cellulose nanocrystals (CNCs) was investigated. Successful CNC functionalization was controlled with FTIR and NMR analyses. In-depth research allowed us to evaluate the interface of the nanocellulose and polymer matrix. Three structurally distinct SFA-grafted CNCs were integrated into a vegetable oil-based acrylate resin in an ultralow concentration of 0.1 wt %. Five biobased acrylic resin formulations were prepared: without reinforcement, with CNC, and with three distinct SFA-grafted CNCs. Vat photopolymerization (VP) 3D printing was utilized for sample preparation. The effects of grafted CNC components on 3D-printed samples’ thermal stability, thermomechanical properties, and wettability were evaluated in detail. CNC functionalization enhanced the interface with the polymer matrix, yielding up to a 2-fold increase in elongation and up to a 2.5-fold increase in strength in tensile and flexural tests compared to the polymeric matrix. The CNC-SFA-modified filler demonstrated performance comparable to, or even better than, petroleum-based chemical modification routes found in the existing literature. This study highlights a promising approach for green functionalization of CNCs and verifies its use in interface enhancement using a biobased acrylate matrix.

Low-cost potentiometric and spectrophotometric procedures for cephalothin (CPI) determination in pure and biological fluids were investigated. The potentiometric technique is created through titration of CPI with an aqueous medium of 0.1 M NaOH at an ionic strength of μ = 0.3 M sodium chloride and room temperature by a combined glass pH electrode. Using the standard addition method, we found that the detection and quantitative limits were 0.042 mg/mL, with the standard deviation SD = 0.011, correlation coefficient R = 0.9880 (n = 5), and linear concentration ranges from 0.042 to 0.82 mg/mL. This technique was utilized to assess CPI in pure solutions, urine, and serum with suitable results. No interference was exposed in the presence of public components of the samples under study. Recovery of CPI for pure and biological fluids is in the range of 98.2–101%. Also, the spectrophotometric method has been performed through the formation of the Prussian Blue (PB) complex. The reaction between the acidic hydrolysis product of CPI (T = 60 °C) and the mixture of Fe³⁺ with hexacyanoferrate (III) ions (HCF(III)) was detected for the spectrophotometric determination of the drug. The maximum absorbance of the formed complex was measured at λ = 283 nm with 2.0 × 10³ L mol^–1 cm^–1 molar absorptivity. Reaction states have been advanced to acquire the PB complex of great sensitivity and longer stability. In optimal states, the absorbent of the PB compound was attained to grow linearly with the increase in the concentration of CPI, which agrees with the correlation coefficient values. The detection and quantitative limits were 0.000036 and 0.0012 mg/mL, respectively, with the standard deviation, SD = 0.0005, correlation coefficient, R = 0.9955 (n = 5), and the linearity range of the calibration plot 0.0005–0.02 mg/mL CPI. The planned technique was positively utilized for the detection of CPI in both urine and serum models. The results fit well with the data found from the potentiometric method.

Introduction: Bacterial outer membrane vesicles (OMVs) are emerging as important players in the host–microbiome interaction, while also proving to be a promising platform for vaccine development and targeted drug delivery. The available methods for measuring their biodistribution, however, are limited. We aimed to establish a high-efficiency radiolabeling method for the treatment of OMVs. Methods: ^99mTc-HYNIC-duramycin was incubated with OMVs isolated from E. coli BL21(DE3) ΔnlpI ΔlpxM. Radiolabeling efficiency (RLE) and radiochemical purity (RCP) were measured with size-exclusion high-performance liquid chromatography. The biodistribution was quantitatively measured in mice using SPECT/CT imaging. Results: RLE was 81.84 ± 2.03% for undiluted OMV suspension and 56.17 ± 2.29% for 100× dilution. Postlabeling purification with a spin-desalting column results in 100% radioactivity in the OMV fraction according to HPLC, indicating 100% RCP of the final product. The biodistribution was found to be in line with previous data reported in the literature using other OMV tracking attempts. Conclusions: Our findings illustrate that using HYNIC-duramycin for labeling of the OMVs enhances efficiency and is easily implementable for in vivo imaging studies, significantly improving upon earlier methods.

Soft electro-ionic actuators have received extensive research and attention due to their advantages such as low voltage response and adjustable deformation. However, they have not been able to enter the actual industry application like traditional rigid actuators; one of the reasons may be that the kinematic properties of actuators have been less studied. The electro-ionic actuator based on Ti₃C₂T_x MXene-CNT/PPy electrode prepared in this paper shows good bending displacement (18.8 mm) and strain (0.63%) under 4 V voltage. In this article, the overlapping nature and exponential function relationship of the actuator end-point trajectories are preliminarily discussed, and the morphology change and cubic polynomial function relationship of the actuator body are considered. Moreover, in application, a novel proof-of-concept model of smart wearable finger straps is proposed. This study is a unique attempt and is hoped to provide a new research perspective in the field of soft electro-ionic actuators.

Raman spectroscopy has emerged as a pivotal analytical instrument, valued for its nondestructive capabilities and its capacity to provide essential material-specific insights. However, the excessive costs associated with commercially available Raman instruments present a barrier to their accessibility for many academic institutions and broader usage. Herein, we introduce an affordable and accessible approach to constructing a versatile Raman instrument capable of accommodating both spectroscopic and microscopic analyses. Through this multimodal approach that concurrently captures Raman signal and image data, we demonstrate color-based alcohol detection, showcase a high signal-to-noise ratio achieved through meticulous hardware design and signal processing, and present a cost-effective, modular design utilizing 3D printing technology. This system offers adaptability to address diverse research needs and requirements. We systematically detail the fabrication process, including the utilization of a 3D printer to produce necessary components, ultimately resulting in the assembly of a functional Raman probe system. Our experiments and subsequent analyses substantiate the accuracy and reliability of the constructed system. Specifically, we conducted experiments involving three distinct samples: water, ethanol, and methanol using the Raman probe, successfully confirming their unique Raman spectra. Furthermore, our Raman probe accurately identified ethanol concentration by assessing mixed samples with varying water-to-ethanol ratios and demonstrated a coefficient of determination value of 0.9993. This underscores the performance of the constructed Raman probe and positions it as a viable option for characterization, particularly in regions where access to conventional Raman probe may be limited.

The current exponential growth of solar electricity technologies toward consumer-oriented applications, as in building- or vehicle-integrated photovoltaics (B/VIPV), is calling for improved solar cells, not only in cost-effectiveness, but also with better adaptability and aesthetics. Here, using perovskite solar cells (PSCs) as test bed, we demonstrate an unprecedented photonic method to generate any color on a cell layout, while also increasing PV efficiency. To this end, photonic surface features were designed for PSCs, which filled the dual purpose of light-trapping (LT) and modulation of reflected light interference. A variety of geometries, from simple gratings to complex semispheroids, were optically optimized for two of the most challenging colors, magenta and green, while assuring the generation of their maximum feasible photocurrent. The best results corresponded to a current density of 22.07 mA/cm², obtained for the magenta solar cell with top domes, exhibiting an increase of 6.68%, relative to an optimized planar reference cell. In turn, the same type of geometry was able to generate the leading green cell, with up to 21.40 mA/cm² (a relative increase of 3.44%). Additionally, the uniformity of the optical output of the optimal solar cells was tested under a range of incident light angles, between 0^◦ and 60^◦, where the current density suffered relative losses only down to 6.65%.

To improve the froth breakdown performance of flotation foam, a mechanical defoaming device based on vacuum and rotation was developed. The device is mainly composed of a rotating disk and a baffle and generates negative pressure when rotating at high speed. Through the synergistic effects of negative pressure, collision, extrusion, and shearing, the flotation foam effectively separates the liquid and gas phases. The flow field characteristics of the defoaming device are meticulously analyzed through numerical simulation, leading to a comprehensive evaluation of its defoaming performance. The effects of different rotational speeds on fluid velocity, pressure, turbulence, and traces are studied. It can be obtained that when the rotational speed is 900–1800 rpm, the device generates a pressure zone of −2.5 to −12.5 kPa, which can meet the requirements of the defoaming design.

The expansive use of hydrogels in healthcare relies on carefully tuned properties in dynamic environments with predictable behavior, including time sensitive biological systems and biomedical applications. To meet demands in these settings, nanomaterials are often introduced to a hydrogel matrix which simultaneously elevates potential applications while adding complexity to fundamental characteristics. With respect to drug delivery, gold nanoparticles have modifiable surfaces to carry an array of targeted drug treatments. However, different molecules acting as capping ligands possess different chemical structures that can impact gelation times. To understand the influence of capping ligand chemistry on polyacrylamide (PAM) based nanocomposite hydrogel radical gelation time, gold nanoparticle (Au NP) capping ligands were selected to encompass varying functional groups and molecular weights: citrate, cetyltrimethylammonium bromide, polyvinylpyrrolidone, and poly(acrylic acid). Gelation times were quantified as the storage-loss moduli crossover point in rheological time sweeps at constant strain and frequency. The dominating factor for gelation time was the presence of Au NPs, independent of a diverse range of capping ligand structures. The gelation times were also markedly faster than the same capping ligand structures used as stand-alone molecular additives. The accelerated Au NP gelation times, under 2 min, are attributed to the Au NPs acting as a cross-linker, promoting gelation. These results bolster the potential implementation of Au NP nanocomposite hydrogels in time-sensitive biomedical applications as robust drug carriers.

Perovskite materials have surged to the forefront of materials science, captivating researchers worldwide with their distinctive crystal lattice arrangement and remarkable optical, electric and dielectric attributes. The current study focuses on the development of a novel zero-dimensional (0D) Ge(II)-based hybrid perovskite, formulated as NH₃(CH₂)₂NH₃GeF₆, and synthesized through a gradual evaporation process conducted at room temperature. The crystal structure is characterized by an arrangement of organic cations and isolated octahedral [GeF₆]^2– groups. This configuration is stabilized by relatively weak intermolecular bonds. A comprehensive analysis of the material’s thermal properties using differential scanning calorimetry (DSC) revealed a distinct phase transition occurring at approximately 323 K, which was further confirmed through electrical measurements. The studied compound provided a broad absorption range across the visible spectrum and an optical band gap of 3.30 eV, indicating its potential for semiconducting applications in optoelectronic devices. Photoluminescence PL analysis displays a blueish broad-band emission with a high color rendering index CRI value of 91, when excited at 325 nm. This emission primarily originates from the self-trapped excitons (STEs) recombination in the inorganic [GeF₆]²⁻. Herein, the temperature-dependent behavior of grain conductivity exhibited an Arrhenius-type pattern, with an activation energy (E_a) of 0.46 eV, confirming the semiconductor nature of the investigated compound. In addition, a deep investigation of the alternating current conductivity, analyzed using Jonscher’s law, demonstrates that the conduction mechanism is effectively described by the correlated barrier hopping (CBH) model. The dielectric performances show a significant dielectric constant (ε′ ∼ 10³). Thus, all these interesting physical properties of this hybrid perovskite have paved the way for advancements in various technological applications, particularly in the field of electronic capacitors.

The advancement of functional nanomaterials has become a major focus of recent research, driven by the exceptional properties these materials display compared to their macroscopic (bulk) counterparts. Cobalt oxide nanoparticles (CoO-NPs) stand out primarily for their catalytic and magnetic properties, which can enable a range of technological applications, such as advanced catalysts, drug delivery systems, implants, prosthetics, sensors. However, in addition to the dependence on factors such as size, morphology, and functionalization, the properties of CoO-NPs are significantly influenced by the crystal structure. Therefore, local investigation into the polymorphic structures of CoO at the nanometric scale may provide new insights into the local structural and magnetic characteristics of these systems. In this report, we address the synthesis and local characterization of cobalt oxide (CoO) nanoparticles in the rock-salt cubic fcc-CoO and Wurtzite hpc-CoO phases, obtained through thermal decomposition. We analyze the influence of oleylamine and oleic acid ligands on the structural and morphological control of these systems. The obtained nanoparticles were characterized using conventional techniques such as X-ray diffraction (XRD), transmission electron microscopy, Raman spectroscopy, and Fourier-transform infrared spectroscopy. Local characterization was carried out by the perturbed angular correlation (PAC) nuclear technique using the radioactive tracer ¹¹¹In(¹¹¹Cd). Measurements were conducted at 295 and 10 K to investigate possible magnetic phase transitions in these systems. XRD results confirmed the formation of fcc-CoO and hcp-CoO phases. The phase fcc was obtained with the pair of oleylamine and oleic acid ligands, while the phase hcp phase was synthesized using only oleylamine. Additionally, nanoparticles synthesized with oleylamine and oleic acid exhibited better morphological control compared to those produced with only oleylamine. Raman spectroscopy analyses suggest a phase transformation process resulting in Co₃O₄. PAC results for hyperfine interactions at the ¹¹¹In(¹¹¹Cd) probe nucleus, indicate that the hcp-CoO phase shows smaller hyperfine magnetic interactions (B_hf = 1 T) compared to the fcc-CoO phase (B_hf = 17 T). This suggests the mechanism of superexchange interactions, which are strongly influenced by the Co–O–Co bond angle, which is 110° for the hpc-CoO phase and 180° for the fcc-CoO phase due to the geometries of the systems.

Glutamate is a key factor in opiate addiction. Glial glutamate transporter-1 (GLT-1) plays a prominent role in glutamate homeostasis. Therefore, different regimens of ceftriaxone as a GLT-1 activator were prescribed to determine whether modulating GLT-1 prevents morphine dependence or withdrawal syndrome. Rats received 10 mg/kg morphine subcutaneously for ten consecutive days. Intrahippocampal ceftriaxone (0.5 μL of 0.5 mM solution) was injected 30 min before morphine administration to assess its effect on dependence process. In the next experiment, after the animals became dependent, ceftriaxone was injected before or after the last morphine administration, and its effect on withdrawal symptoms was evaluated. The reversibility of developed dependence was evaluated in the conditions when morphine and ceftriaxone were administered simultaneously. Two hours after the last morphine injection, naloxone hydrochloride (1.5 mg/kg) was administered, and morphine withdrawal syndrome was recorded for 25 min. Ceftriaxone administration before each morphine injection caused a decrease in the occurrence of withdrawal symptoms. Single dose of ceftriaxone after or before the last dose of morphine did not change the withdrawal symptoms significantly. Ceftriaxone injection for 5 days after becoming dependent could decrease the occurrence of some withdrawal symptoms. Modulation of glutamate with ceftriaxone during morphine injection may be able to prevent dependence. However, a single dose of ceftriaxone after becoming dependent could not decrease withdrawal syndrome. More prolonged administration of ceftriaxone could alleviate the induced dependence.

Inhibition ofaldose reductase (AR), α-glycosidase (α-GLY), and α-amylase (α-AMY) are some of the essential targets in diabetes mellitus (DM). Here, a series of imidazo[1,2-a]pyridine-based 1,3,4-thiadiazole derivatives (8a–k) were successfully synthesized and characterized using ¹H NMR, ¹³C NMR, and HRMS spectroscopic techniques. The inhibition effects of the synthesized derivatives against AR, α-GLY, and α-AMY were evaluated using both in vitro and in silico methods. In vitro studies revealed that the derivatives (8a–k) showed significant inhibition activity. The results showed that the novel derivatives (8a–k) demonstrated potential inhibitory activity, with K_I values covering the following ranges: 23.47 ± 2.40 to 139.60 ± 13.33 nM for AR and 6.09 ± 0.37 to 119.80 ± 12.31 μM for α-GLY, with IC₅₀ values 81.14 to 153.51 μM for α-AMY. Furthermore, many of these compounds exhibited high inhibition activity, while some of them showed higher potency than the reference compounds. Molecular docking of the target compounds was carried out in the active sites of AR (PDB ID: 4JIR) and α-GLY (PDB ID: 5NN8).

We introduce an improved inert gas bubbling method for solvent deoxygenation, featuring a ventilation path alongside the inert gas inlet to enhance the efficiency and reproducibility. While essential for life, oxygen’s reactivity can disrupt scientific and industrial processes by forming unwanted intermediates and deactivating catalysts, necessitating efficient deoxygenation methods. Traditional methods like freeze–pump–thaw (FPT) are effective but time-consuming, require stringent safety measures, and have potential limitations for use with aqueous and biological samples. Our enhanced inert gas bubbling method retains the simplicity and safety of conventional bubbling while achieving FPT-like deoxygenation efficiency, demonstrated by photoluminescence intensity and lifetime measurements in acetonitrile (ACN) and toluene (TOL). Simulations using a simplified kinetic model and the Stern–Volmer equation reveal that the added ventilation pathway reduces oxygen contamination in Ar gas bubbles, improving the deoxygenation efficiency. This method is widely applicable in academic and industrial fields, requiring consistent and efficient solvent deoxygenation.

Resistance mechanisms in brain tumors, such as medulloblastoma and glioblastoma, frequently involve the entrapment of chemotherapeutic agents within endosomes and the extracellular expulsion of drugs. These barriers to effective treatment are exacerbated in nanotechnology-based drug delivery systems, where therapeutic nanoparticles often remain confined within endosomes, thus diminishing their therapeutic efficacy. Addressing this challenge necessitates the development of novel strategies to enhance the efficiency of cancer therapies. This study tests the hypothesis that external electrical stimuli can modulate intracellular trafficking of chemotherapeutic drugs in common malignant brain tumors in children (medulloblastoma) and adults (glioblastoma) by using gold nanoparticles (GNPs). In our experiments, alternating current (AC) stimulation ranging from 1 kHz to 5 MHz and at a strength of 1 V/cm significantly reduced cell viability in drug-resistant medulloblastoma and enhanced delivery of GNPs in glioblastoma. Low-frequency AC resulted in a 50% increase in apoptosis compared to controls and an 8-fold increase in cell death in cisplatin-resistant medulloblastoma cells, accompanied by a substantial reduction in EC₅₀ from 2.5 to 0.3 μM. Similarly, vincristine-resistant cells demonstrated a 4-fold enhancement in drug sensitivity. Furthermore, high-frequency AC facilitated a significant increase from 20 to 75% in the endosomal escape of GNPs in glioblastoma cells. These findings underscore the potential of AC to selectively disrupt cancer cell resistance mechanisms and bolster the efficacy of nanoparticle-based therapies. The results indicate the effectiveness of AC stimulation in circumventing the limitations inherent in current nanotechnology-based drug delivery systems but also illustrates its transformative potential for treating aggressive, drug-resistant brain tumors.

When NH₃ in the environment exceeds a certain concentration, it may have adverse effects on human health. Ammonia gas sensors currently on the market usually work under high temperatures and are not only expensive but also have poor performance in terms of selectivity. Therefore, the preparation of an ammonia gas sensor that works at room temperature, is low cost, and has high sensitivity and selectivity is particularly important. This paper introduces a room temperature ammonia gas sensor based on a Ca-doped CNFs/Al₂O₃ nanocomposite material, prepared using electrospinning, pre-oxidation, and carbonization processes. The surface morphology, microstructure, and chemical composition of the materials have been characterized by scanning electron microscopy, Raman, and X-ray photoelectron spectroscopy. The Ca-doped CNFs/Al₂O₃ gas sensor has excellent selectivity for ammonia at room temperature and low sensitivity to other volatile gases such as ethanol, dimethylformamide, HCl, and methanol. At 100 ppm of NH₃, the response value of the Ca-doped CNFs/Al₂O₃ gas sensor can reach 22.73, demonstrating excellent repeatability and long-term stability. Its performance is not affected by environmental temperature and humidity, providing great convenience for practical applications. In addition, we also discuss the sensing mechanism of the Ca-doped CNFs/Al₂O₃ gas sensor. This paper not only provides effective materials and methods for the development of high-performance room temperature ammonia gas sensors but is also expected to play a role in the field of environmental monitoring.

This work presents an interdisciplinary approach combining materials science, ultrasonication, artistic expression, and curatorial practice to develop and investigate novel composites. The focus of the approach is incorporating graphene oxide (GO) into kaolin and exploring its effects on material properties. The composites were prepared with varying GO concentrations and sonication times, and their mechanical, thermal, and morphological characteristics were evaluated. The results reveal that the addition of 0.5 wt % GO, combined with a sonication time of 10 min, leads to the highest storage modulus and improved thermal stability. Ultrasonication proved to be an effective method for dispersing and distributing GO particles within the kaolin matrix, resulting in an enhanced material performance. Furthermore, the application of novel composites provided by Prvački adds a unique dimension to the study. Through the artistic interpretation, the tactile qualities and aesthetic potential of the composites are explored, shedding light on the transformative power of materials and cultural significance organized as part of an artist-in-residence commission, introduced in conjunction with the NUS Public Art Initiative. This interdisciplinary collaboration accompanied by an exhibition at the NUS Museum demonstrates the value of merging scientific research, technological advancements, and artistic exploration.

We analyzed the fluctuation of surface-enhanced Raman spectra with a temporal resolution of 25 ms using a conventional electron-multiplying charge-coupled device camera experimental setup. The signal-to-noise ratio of the spectra was improved using density-based spatial cluster analysis with noise. Silver nanoparticles (AgNPs) with different sizes were dispersed as surface-enhanced Raman spectroscopy platforms in violet aqueous solutions. The movement of AgNPs and the fluctuation of the spectra were characterized. The fluctuation (signal ON and OFF) was evaluated on the basis of the time intervals between ON and OFF timing. The behavior of each AgNP solution was explained by a two-dimensional random walk model, which means that the phenomenon was mainly governed by the Brownian motion of the AgNPs in the solution. The fluctuation was also compared among three different Raman modes, one of which showed anomalous behavior.

Modern materials science has made significant progress in creating new materials and processes for waste recovery. One such advancement involves the development of a new porous composite material made from clay and an environmentally sustainable eggshell powder. In this study, the dynamic behavior of water vapor during desorption and adsorption processes within this composite material was investigated. The moisture diffusivity coefficient was determined within the clay/eggshell powder composite material. The drying kinetic data were analyzed using various models such as Newton, Page, and Wan and Singh. The static gravimetric vapor adsorption/desorption experiments were conducted at different temperatures (30, 40, 50, 60, and 70 °C) to depict the material’s capacity for absorbing and releasing moisture over time. The experimental isotherm data were fitted using different mathematical models (Guggenheim, Anderson, and De Boer, Peleg, Adam and Shove, Oswin, and Modified Henderson). The findings suggest that integrating eggshell powder with clay can significantly influence the behavior and characteristics of the resultant material. The combination of eggshell powder and clay reduces moisture sorption and accelerates the drying process. Consequently, this affects the porosity, permeability, and response to humidity changes.

Addressing the environmental impact of agro-industrial waste, this study explores the transformation of banana, potato, and orange peels into bioplastics suitable for thin coating films. We prepared six extracts at 100 g/L, encompassing individual (banana peel, BP; orange peel, OP; and potato peel, PP) and combined [BP/OP, BP/PP, and BP/OP/PP] formulations, with yeast mold (YM) medium serving as the control. Utilizing the spin-coating method, we applied 1 mL of each sample at 1000 rpm for 1 min to create the films. Notably, the OP extract demonstrated a twofold increase in bioplastic yield (860.33 mg/L) compared to the yields of BP (391.43 mg/L), PP (357.67 mg/L), BP/OP (469.40 mg/L), BP/PP (382.50 mg/L), BP/OP/PP (272.67 mg/L), and YM (416.33 mg/L) extracts. Atomic force microscopy analysis of the film surfaces revealed a roughness under 8 nm, with the OP extract recording the highest at 7.0275 nm, whereas the BP/OP mixture exhibited the lowest roughness at 0.2067 nm and also formed the thinnest film at 6.5 nm. With R² trend values exceeding 0.9950, the films exhibited water vapor permeability values ranging from 3.05 × 10^–3 to 4.44 × 10^–3, with the OP film being the least permeable and the BP/PP films the most permeable. The OP film demonstrated the lowest solubility in both water and ethanol with values of 64.71 and 1.05%, respectively. The solubilities of all films were above 60% in water and below 4% in ethanol. Furthermore, the films exhibited antimicrobial efficacy against both Gram-positive and Gram-negative bacteria. Our findings confirm the potential of utilizing banana, orange, and potato peels as viable substrates for eco-friendly bioplastics in thin-film applications.

Gold nanoparticles (AuNPs) in different shapes have been developed and investigated for the treatment of various diseases. However, the potential toxicological vulnerability of different organs to morphologies of AuNPs and the complication of the toxicological profile of AuNPs by other health risk factors (e.g., plastic particles) have rarely been investigated systematically. Therefore, in this study, we aimed to investigate the toxicological differences between the spherical and triangular AuNPs (denoted as AuS and AuT, respectively) and the toxicological modulations by micro- or nanosized polystyrene plastic particles (denoted as mPS and nPS, respectively) in mice. Systemic biochemical characterizations were performed after a 90 day oral gavage feeding to obtain toxicological comparisons in different organs. In the case of single exposure to gold nanoparticles, AuT was associated with significantly higher aspartate amino-transferase (168.2%, P < 0.05), superoxide dismutase (183.6%, P < 0.001), catalase (136.9%, P < 0.01), total cholesterol (132.6%, P < 0.01), high-density lipoprotein cholesterol (131.3%, P < 0.05), and low-density lipoprotein cholesterol (204.6%, P < 0.01) levels than AuS. In contrast, AuS was associated with a significantly higher nitric oxide level (355.1%, P < 0.01) than AuT. Considering the overall toxicological profiles in single exposure and coexposure with multiscale plastics, it has been found that AuS is associated with lower hepatotoxicity and lipid metabolism malfunction, and AuT is associated with lower neurotoxicity than AuS. This finding may facilitate the future therapeutic design by considering the priority in protections of different organs and utilizing appropriate material morphologies.

Candida albicans (C. albicans) infections pose significant challenges in clinical settings due to their high morbidity and mortality rates in addition to their role in tumor progression. Current diagnostic methods, while effective, often suffer from limitations that hinder a timely intervention. Therefore, there is an urgent need for a simple, sensitive, specific, and low-cost colorimetric biosensor for the rapid detection of C. albicans. This new biosensing platform comprises a gold platform carrying a specific C. albicans peptide substrate conjugated with magnetic nanobeads. Hence, the sensing platform was black, and the operation was based on the proteolytic activity of C. albicans, offering a visual color change to yellow upon cleavage of the conjugated peptide substrates on the magnetic nanobeads. Specificity testing demonstrated the biosensor’s ability to distinguish C. albicans from other Candida species and microorganisms, while stability testing confirmed its long-term performance. Clinical testing revealed the biosensor’s high sensitivity in detecting C. albicans in both standard cultures and clinically isolated samples with a lower limit of detestation of 3.5 × 10³ CFU/mL. Although further validation against conventional and molecular methods is warranted, our colorimetric biosensor holds promise as a rapid (5 min) and cheap (Less than 2 $) point-of-care solution for the early detection of C. albicans infections, facilitating a timely intervention and improving patient outcomes in clinical practice.

Given the background of significant Coal Mine gas disasters worldwide, the research and development of efficient gas control technologies have become critical to ensuring mining safety. CO₂ gas fracturing (CO₂–Frac), an innovative technology for Coal Mine gas control, has demonstrated efficiency in various mining areas across China. However, its application in outburst-prone coal seams is not yet fully understood. This study presents a field-scale CO₂–Frac project conducted in an outburst Coal Mine in China, specifically the Pingshu Coal Mine, where the previously employed dense-borehole gas extraction technology failed to efficiently achieve gas extraction and outburst prevention. The CO₂–Frac plan was evaluated through fracture propagation experiments utilizing both single-hole and dual-hole configurations, highlighting the advantages of the dual-hole CO₂–Frac method. Subsequently, on-site gas extraction tests were conducted to further assess the efficacy of the CO₂–Frac plan. The results indicate that (1) In the dual-hole CO₂–Frac scheme, the fractured and pressure relief area expanded to approximately 26.82 m², which is 220% larger than that of the single-hole scheme. (2) The dual-hole CO₂–Frac significantly enhanced gas extraction effectiveness, increasing the flow rate from 0.026 to 0.216 m³/min in a 100m borehole, a 7.3-fold improvement. Additionally, the gas extraction period to reach the standard was reduced from 20 to 6 days. These findings conclusively demonstrate that the dual-hole CO₂–Frac technique is an effective method for safe excavation in outburst-prone coal seams, providing both theoretical and practical validation for its application in similar geological settings.

Treatment resistance is a major bottleneck in the success of cancer therapy. Early identification of the treatment response or lack thereof in patients can enable an earlier switch to alternative treatment strategies that can enhance response rates. Here, Raman spectroscopy was applied to monitor early tumor biomolecular changes in sensitive (UM-SCC-22B) and resistant (UM-SCC-47) head and neck tumor xenografts for the first time in in vivo murine tumor models in response to radiation therapy. We used a validated multivariate curve resolution-alternating least-squares (MCR-ALS) model to resolve complex multicomponent Raman spectra into individual pure spectra and their respective contributions. We observed a significant radiation-induced increase in the contributions of lipid-like species (p = 0.0291) in the radiation-sensitive UM-SCC-22B tumors at 48 h following radiation compared to the nonradiated baseline (prior to commencing treatment). We also observed an increase in the contribution of collagen-like species in the radiation-resistant UM-SCC-47 tumors at 24 h following radiation compared to the nonradiated baseline (p = 0.0125). In addition to the in vivo analysis, we performed ex vivo confocal Raman microscopic imaging of frozen sections derived from the same tumors. A comparison of all control and treated tumors revealed similar trends in the contributions of lipid-like and collagen-like species in both in vivo and ex vivo measurements; however, when evaluated as a function of time, longitudinal trends in the scores of collagen-like and lipid-like components were not consistent between the two data sets, likely due to sample numbers and differences in sampling depth at which information is obtained. Nevertheless, this study demonstrates the potential of fiber-based Raman spectroscopy for identifying early tumor microenvironmental changes in response to clinical doses of radiation therapy.

Uveal Melanoma (UM), a highly aggressive and metastatic intraocular cancer with a strong propensity for liver metastasis, presents limited therapeutic alternatives and unfavorable survival outcomes. Despite its low incidence, the underlying mechanisms of UM pathogenesis and the precise role of mitochondrial metabolism in UM remain inadequately understood. Utilizing Cox proportional hazards regression analysis was used to assess prognostic relevance, and consensus clustering was employed for molecular subtyping. A risk signature was constructed using Least Absolute Shrinkage and Selection Operator (LASSO) Cox regression. We further conducted comparative analyses on clinicopathological characteristics, somatic mutation profiles, drug sensitivity, gene expression patterns, and tumor microenvironment features across different molecular subtypes. Moreover, a nomogram was developed and evaluated. Among 1234 mitochondria metabolism-related genes (MMRGs), 343 were identified as significantly associated with the prognosis of UM. These prognosis-associated MMRGs facilitated the classification of UM into two distinct molecular subtypes, which displayed notable differences in prognosis and pathological staging. Furthermore, an index termed the MMRGs-derived index (MMI) was derived from eight MMRGs, serving as a quantitative measure for poor prognosis risk in UM. MMI demonstrated significant associations with clinicopathological characteristics, somatic mutations, drug responsiveness, and the tumor microenvironment, where higher MMI levels corresponded to worse prognosis, advanced pathological stages, and increased immune cell infiltration. The nomogram built upon MMI provided a potential tool for clinical prognosis assessment in UM patients. This study demonstrated the potential value of MMRGs in predicting prognosis and molecular stratification within UM; however, additional clinical and basic research is warranted to validate their applicability and elucidate the related mechanisms.

The complete two-step hydride transfer mechanism of amine oxidation involved in the metabolism of monoamine neurotransmitters was scrutinized by DFT calculations. In living organisms, this process is catalyzed by monoamine oxidase enzymes. Herein, we focus on some intriguing aspects of the reaction that may have been previously noticed but have not been clarified to date. The first step of the reaction includes the C–H bond cleavage on the methylene group vicinal to the amino group of the monoamine substrate and the subsequent transfer of hydrogen to the N5 atom of the flavin prosthetic group of the enzyme. We confirmed the nature of this step to be hydride transfer by evaluation of the pertinent HOMO–LUMO gap together with analysis of orbital contours alongside the intrinsic reaction coordinate profile. Next, we investigated the rather peculiar intermediate adduct that may form between the amine substrate and the flavin molecule, featuring an unusually long C–N bond of ∼1.62 Å. Although this bond is quite stable in the gas phase, the presence of just a few explicit water molecules facilitates its dissociation almost without energy input so that the amine-flavin intermediate can form an ionic pair instead. We attribute the existence of the unusual C–N bond to a fragile balance between opposing electronic structure effects, as evaluated by the natural bond orbital analysis. In line with this, the intermediate in the solution or in the enzyme active site can exist in two energetically almost equivalent forms, namely, as a covalently bound complex or as an ion pair, as suggested by previous studies. Finally, we characterized the transformation of the intermediate to the fully reduced flavin and imine products via proton transfer from the amino group to the flavin N1 atom, completing the reductive part of the catalytic cycle. Although we found that explicit solvation substantially boosts the kinetics of this step, the corresponding barrier is significantly lower than that in the hydride transfer step, confirming hydrogen abstraction as the rate-limiting step of amine oxidation and validating the two-step hydride transfer mechanism of monoamine oxidases.

Competition and cooperation of charge-assisted anion−π interactions and hydrogen bonding were explored in the solid state and in solutions of 1-ethyl-4-carbomethoxypyridinium iodide, the compound utilized by Kosower to calculate solvent polarity Z-indices. X-ray structural analysis of this salt revealed multiple short contacts of iodide anions with hydrogen atoms and aromatic rings of pyridinium cations. Geometric characteristics, quantum theory of atoms in molecules (QTAIM), and noncovalent interaction (NCI) analysis of these contacts indicated comparable interaction energies of the anion−π and hydrogen bonding between iodide and pyridinium cation. ¹H NMR (indicating the presence of the hydrogen-bonded complexes) and UV–vis measurements (which were consistent with the formation of anion−π associations) pointed out that both these supramolecular interactions also coexist in solutions. The comparable interaction energies (ΔE) of these modes were confirmed by the DFT computations. Also, while the variations of ΔE with the dielectric constant of the solvents for the complexes of iodide with the neutral π-acceptors were related to the increase of the effective radii of hydrogen- or anion−π bonded iodides, the changes in ΔE for the complexes with pyridinium followed interaction energies between two unit charges. However, the distinction of the bonding in hydrogen-bonded and anion−π complexes of iodide with pyridinium led to a switch of their relative energies with an increase of the polarity of the medium.

The exorbitant presence of heavy metals has emerged as one of the most serious ecological issues facing the world. The treatment processes currently employed are not effective for removing all of the contaminants completely. Therefore, it is necessary for better operational technology to be developed. Here, we fabricated effective and inexpensive kaolin-based ceramic membranes with the addition of dolomite using a simple dry compaction method. Moreover, we applied the obtained adsorptive membranes to the removal of lead, copper, zinc, and cadmium from aqueous solutions. The membranes prepared with dolomite addition (sintered at different temperatures) exhibited a high water flux between 246.78 and 1738.56 L/h·m² at an extremely low operating pressure (0.03 MPa). Furthermore, the optimal membrane showed high removal efficiencies of 99.12, 99.82, 85.62, and 65.94% for Pb(II), Cu(II), Zn(II), and Cd(II), respectively. The utilization of dolomite enhanced the removal efficiency of the adsorptive membranes by around 32–54% in a multielement system. This work reveals that enhanced adsorptive membranes with high fluxes and strong removal abilities have great potential as a synergized system with practical applications in the removal of heavy-metal contaminants from wastewater in the future.

Zwitterionic surfactants are found to be highly effective in reducing the IFT and changing the wettability. This work studied the solubility and wettability alteration performance of locally synthesized zwitterionic surfactants in Berea sandstone and Indiana limestone. Contact angle measurements were conducted to study the wettability under different conditions. SEM images and TGA results were combined to reflect on the wettability alteration mechanism. The zeta potential test was adopted to study the surface charge of the Indian limestone powder. Results showed that five of the six surfactants dissolved in deionized water to form 1.0 wt % solution, indicating efficient solubility for EOR purposes. Although its wettability alteration performance on oil-aged Berea sandstone is weak to moderate, the performance of ZW6 on Indiana limestone is excellent. ZW6 can change the strongly oil-wet (162°) rock back to water-wet (62.9°) conditions. Increasing its concentration from 0.01 to 0.5 wt % continuously enhanced the performance. The addition of NaCl to 150000 ppm did not affect the wettability alteration. However, the addition of CaCl₂ largely suppressed the wettability alteration, while Na₂SO₄ and MgCl₂ both enhanced the performance. With the same headgroup, a more hydrophobic tail group impairs the wettability alteration. The quite different wettability alteration performance of MgCl₂ and CaCl₂ cases (which had approximately the same amount of calcite dissolution), and the comparable wettability alteration performance of Na₂SO₄ and MgCl₂ (which had very different calcite dissolution amounts) indicate that calcite dissolution is unrelated to wettability alteration.

Tortuosity is a crucial characteristic of porous materials, such as the shale matrix where shale gas is stored. The presence of tortuous nanochannels significantly affects the adsorption and transport of nanoflows. In this research, we use molecular dynamics simulation (MD) to study the adsorption and transport properties of shale gas (methane) in a curved slit-like nanochannel constructed from bent graphene sheets. Our findings reveal that the curvature of the tortuous channel influences methane adsorption: convex surfaces exhibit stronger adsorption, while concave surfaces exhibit weaker adsorption; the discrepancy is amplified by the nanoflow. Additionally, nanoflow velocity is heterogeneously distributed within the curved channel, with higher tangential flow velocities observed near the entrance and the outer surface. We also identify a “bouncing effect”, where the nanoflow not only moves tangentially along the channel but also bounces between the inner and outer walls. Furthermore, methane in narrower channels exhibits higher tangent flow velocity and higher bouncing frequency but smaller flux, whereas larger curvature results in shorter channel length and smaller tortuosity, but the transport tangent velocity and flux are both reduced. The findings of this study can help in the better understanding of shale gas nanoflow properties in tortuous media and provide insights for simulating more general nonstraight nanoflows.

High-purity dichlorosilane (DCS) is an important raw material for thin film deposition in the semiconductor industry, such as epitaxial silicon, which is mainly produced by trichlorosilane (TCS) catalytic decomposition in a fixed-bed reactor. The productivity of DCS is strongly dependent on the controlling of the TCS decomposition reaction process, associated with the cost in practical application. In this study, we have performed computational fluid dynamics (CFD) simulation on the TCS decomposition reaction kinetics in a cylindrical fixed-bed reactor, in which the effects of catalyst bed height, feed temperature, and feed flow rate are stressed to predict the conversion rate of TCS and the generation rate of DCS. This indicates that the increase of bed height helps the reaction to proceed adequately, but too large a bed height does not improve the DCS generation rate. Meanwhile, the feed temperature and reactor temperature have important effects on the DCS generation rate. However, it is found that changing the feed flow rate and L/D ratio cannot effectively improve the DCS generation rate while the bed volume remains constant. Furthermore, we have designed a fixed-bed reactor to verify the simulation results, which are in good agreement with each other. These results are of significance for the practical industrial production of high-purity DCS in a fixed-bed reactor.

Long noncoding small nucleolar RNA (LncRNA) host gene 16 (SNHG16) is associated with certain diseases, including cancers. However, its role and mechanism in Mycobacterium tuberculosis (Mtb) infection remain unclear. Here, we demonstrated that SNHG16 expression levels were suppressed in peripheral blood mononuclear cells (PBMCs) and CD14⁺ monocytes of tuberculosis (TB) patients. SNHG16 was up-regulated by acute Mtb infection of PBMCs from healthy control (HC) subjects. Such TB suppression of SNHG16 was consistent with an immunosuppressive-like state driven by IL-10 signaling as seen in TB patients. Notably, SNHG16 limited Mtb growth in macrophages/monocytes through autophagy and vitamin D receptor (VDR)-dependent cathelicidin (CAMP) antimicrobial pathways. Concurrently, SNHG16 was highly expressed in lymphocytes, including CD8⁺ and Vγ2 Vδ2 T-cell subsets in HCs. SNHG16 overexpression in lymphocytes allowed them to control Mtb infection in macrophages, and SNHG16 epigenetically increased the expression of anti-Mtb effector cytokines in lymphocytes by developing more accessible chromatin states in gene loci encoding IFN-γ, TNF-α, and Granzyme B. Furthermore, the adoptive transfer of SNHG16-overexpressing human PBMCs into Mtb-infected SCID mice conferred protective immunity against Mtb infection. Thus, SNHG16 drove the induction of pleiotropic effector functions that inhibited intracellular Mtb growth in vitro and in vivo, serving as an immunotherapy target in TB.

The activation of secondary metabolism plays a pivotal role in the discovery of novel natural products. We recently developed a coculture method involving actinomycetes and mouse macrophage-like cells to stimulate the production of bioactive compounds. A black koji mold, Aspergillus luchuensis IFM 61405, markedly enhanced the production of (3S,8R)-8-hydroxy-3-carboxy-2-methylenenonanoic acid (1a), (3S,8S)-8-hydroxy-3-carboxy-2-methylenenonanoic acid (1b), and (3S)-9-hydroxy-3-carboxy-2-methylenenonanoic acid (2) when coincubated with J774.1 mouse macrophage cells. The production of 1 and 2 increased by at least 3.5-fold and 2.7-fold, respectively, compared to monoculture after 7 days. A mechanistic investigation revealed that a protease from strain IFM 61405 plays a key role in enhancing the production of 1 and 2. This enhancement was not replicated in A. niger IFM 59706, a nonkoji mold, despite the presence of biosynthetic genes for 1 and 2 in A. niger IFM 59706. Furthermore, the addition of protease inhibitors suppressed the production of 1 and 2, suggesting that proteins secreted from animal cells, likely degraded by proteases secreted by strain IFM 61405, serve as precursors for 1 and 2. The results show that the strategy of coculturing koji mold with animal cells has the potential to enhance the production of natural products.

Although metallic implants provide most of the required properties for bone-related applications, especially orthopedic implants, insufficient osseointegration, which may lead to loosening of the implant or prolonged healing time, is still an issue to be resolved. Osseointegration can be improved via application of various surface treatments on the metal surface. The current study focuses on a novel surface microdeformation method, which enables the formation of controlled surface patterns of various parameters. With this purpose, a surface microdeformation procedure was applied on 316L stainless steel surfaces, forming four different patterns which affected various surface parameters such as roughness, surface energy, dislocation activities close to the surface, and wettability. Static immersion tests in a simulated body fluid (SBF) environment showed that modifying the surface parameters via controlled surface patterning promoted the formation of a stable oxide layer and calcium-phosphate (CaP) deposition on the metal surfaces, improving bioactivity. Moreover, the higher amount of CaP deposition and oxide layer formation on the modified surfaces led to reduced ion release, which contributed to improved corrosion resistance. Finally, the effect of the formed surface patterns on antibiofilm formation was investigated via incubation with C. albicans for 24 h, which exhibited that microdeformation patterns remarkably inhibited the biofilm formation. Throughout the experiments, certain patterns yielded outstanding results among the four patterns formed. Overall, it was concluded that forming controlled patterns on stainless steel surfaces via surface microdeformation significantly contributed to the metal’s biocompatibility via improving bioactivity, corrosion resistance, and antibiofilm formation properties. Especially, the specific surface properties such as increased surface energy, high surface roughness, and dislocation density close to the metal surface as well as increased hydrophilicity obtained via forming the pattern with relatively deeper and narrowly spaced indents yielded the most promising outcomes. These methodologies constitute novel approaches to be used while designing new methodologies for the surface modification of metallic implant materials for improved osseointegration.

The pressure signal of the standpipe in the regeneration device for the catalytic cracking reaction is commonly used as a basis for equipment fault diagnosis. The device operates in environments of high temperature, strong vibration, and high flow rate. The standpipe pressure signal is easily interfered with by noise, making it difficult to extract pressure characteristics. In this study, a signal denoising algorithm based on pressure curve tortuosity and denoising intensity is proposed. A power spectrum threshold vector is utilized to filter the pressure in the circulating standpipe, and the denoising intensity and tortuosity after denoising are calculated. Taking the ratio of noise reduction intensity and tortuosity as the objective function, the noise reduction scheme of the pressure signal at different heights of the standpipe is determined. The denoised pressure signals are reconstructed, and the characteristic pressure signals of the circulating standpipe are extracted. The results indicate that the method suppressed the noise, enhanced the significance of characteristic parameters, and improved the accuracy of the fault diagnosis in the FCC units.

Self-nanoemulsifying drug delivery systems (SNEDDS) have been widely applied to improve the dissolution and bioavailability of hydrophobic medications like glibenclamide (GB). However, the acid liability of GB limits its loading in SNEDDS formulation owing to the expected drug degradation. The present study investigated the ability of a polymeric amorphous system (PAS) to amorphize raw GB and facilitate its integration within dispersed SNEDDS. Liquid-SNEDDS (L-SNEDDS), solid-SNEDDS (S-SNEDDS), and combined systems (SNEDDS + PAS) were prepared for this purpose. The physicochemical properties of the prepared formulations were examined using a zeta-sizer, SEM, DSC, PXRD, and dissolution apparatus. In addition, GB integrity within formulations following incubation in a stability chamber was also investigated. The prepared formulations were able to be dispersed within the nanosize range. SEM, DSC, and PXRD showed that freeze-drying (FD) was superior to the microwave (MW) method in GB amorphization. Even though L-SNEDDS and S-SNEDDS were able to increase the dissolution efficiency (DE) of GB, drug degradation was observed. However, PAS prepared using FD was able to increase the DE of GB from 2.5% to 84.2% and protect the drug from chemical degradation. The present study revealed that a combined system (SNEDDS + PAS) is a promising approach to enhance the stability of acid-labile drugs and facilitate the integration of amorphous drugs within a dispersed SNEDDS formulation.

The purpose of this paper is to develop a self-detecting diaphragm integrated with a flexible sensor, which is utilized in an underwater thruster. Resistive strain sensors are easy to manufacture and integrate due to their advantages in reliable stretchability and ductility. Inspired by the structure of neurons, we fabricated resistive flexible sensors using silica gel as the matrix with carbon black and carbon nanotubes as additives. All fabricated sensors demonstrated positive resistance characteristics under 60% strain conditions, with the sensor containing a mass ratio of 9 wt % carbon black and carbon nanotubes exhibiting the best resistance–strain linearity. To verify the anti-interference capability of sensors with silica gel substrates of varying hardness values under changing environmental pressure, we tested the pressure sensitivity of the sensors by altering the hardness of the silica gel. The results indicate that silica gel with the highest hardness value provides the best resistance to environmental pressure interference. To detect the motion and deformation of the internal functional components of the thruster, we combined strain detection with the movement operation function of a silica gel diaphragm, resulting in a new integrated diaphragm with sensor detection capabilities. The integrated diaphragm was evaluated by using a tensile testing machine and an LCR tester. The results demonstrate that the mechanical properties of the diaphragm are stable, exhibiting reliable resistance characteristics and a sensitive response during underwater operation. This research can also be applied to the detection of motion amplitudes of other types of soft robots.

The concentration of nonesterified fatty acids (NEFAs) in biological media is associated with metabolic and cardiovascular disorders (e.g., diabetes, cancer, and cystic fibrosis) and in food products is indicative of their quality. Therefore, the early identification of NEFAs is crucial for both medical diagnosis and food quality assessment. However, the development of a portable and scalable sensor capable of detecting these compounds at a low cost presents challenges due to their considerable chemical and physical stability. This research endeavors to illustrate the viability of detecting linoleic acid using a chemiresistive bienzymatic sensor constructed with cotton thread. The sensor’s design incorporates the conductive polymer poly(3,4-ethylenedioxythiophene):polystyrenesulfonate (PEDOT:PSS) within the thread, alongside the enzymes horseradish peroxidase (HRP) and lipoxygenase (LOX). By implementing this technology, a sensitive detection range spanning from 161 nM to 16.1 μM is achieved when the PEDOT:PSS/HRP/LOX system is integrated into a single thread. The sensor exhibits exceptional selectivity toward linoleic acid, owing to the specific enzymatic reaction between LOX and linoleic acid. This selectivity is upheld even in the presence of other unsaturated fatty acids. This system can be used for future designs with the capability to detect polyunsaturated fatty acids and other intricate biomolecules.

There is an increasing demand within the pharmaceutical and cosmetic industries for biofriendly lipid-based active ingredient delivery systems. Micelles, liposomes, and lipid nanoparticles are currently the most used systems despite their limitations. Oleosomes, also known as lipid droplets, are promising alternatives to the existing strategies. Oleosomes are typically found in plant cells and are characterized by a nonpolar triacylglycerol core surrounded by a phospholipid monolayer punctuated with the protein oleosin. Producing oleosomes synthetically allows the customization of their lipid content, size, protein content, and oil core characteristics, expanding their versatility. Herein we demonstrate a proof of concept for the use of synthetic oleosomes to sequester polar molecules by modulating their core polarity with blends of sunflower and castor oils. The physical properties (density, refractive index, and permittivity) of the oil blends are characterized and demonstrate ideal mixing of the oils, which is supported by molecular dynamics simulations. Spectroscopic examination of the oil blends using fluorescent probes shows that the polarity of oil blends increases as the fraction of castor oil increases. Finally, we show that the uptake of a polar fluorescent probe (NBD-glucose) into synthetic oleosomes is enhanced by increasing the polarity of the oil core, but large charged molecules are excluded from the core regardless of polarity. These experiments show that synthetic oleosomes with tunable oil cores can expand the range of molecules that can be loaded into a biofriendly package as desired for biotechnology applications.

In order to investigate the overpressure and flame propagation characteristics of gas explosions in turning pipelines, this study designed a transparent organic glass pipeline test system with different turning angles (30°, 60°, 90°, 120°, and 150°) and conducted a series of experimental studies to analyze the explosion shock wave overpressure and flame propagation behavior. The experimental results show that with the increase of the turning angle of the pipeline, the overpressure of the explosion shock wave significantly increases. In terms of flame propagation characteristics, when the turning angle is small, the flame can adhere to the outer wall of the pipeline corner and gradually fill the entire pipeline section. When the turning angle increases, the flame forms a blank area near the outer wall of the corner, and the blank area expands with the increase in the corner. In addition, the increase in the turning angle promotes the increase in the velocity of the explosion flame front. The research results of this review are of great significance for a deeper understanding of the mechanism of gas explosions in turning pipelines and evaluating their potential hazards.

Electrospray ionization (ESI) remains the dominant technique in mass spectrometry (MS)-based analyses. Here, we investigated the relationship between a crucial aspect of ESI, the formation of the Taylor cone, and the MS ion current by utilizing a triple quadrupole (QqQ) mass spectrometer coupled with a streaming high-speed camera and a 3-ring electrode system. In one test, ion current over a 30-s plume gate (a ring electrode) opening was compared with the Taylor cone occurrence analyzed offline, with Spearman’s correlation coefficients consistently near 0 despite parameter variations. In another test, real-time detection of Taylor cones was synchronized with QqQ-MS, selectively opening (de-energizing) the plume gate based on the Taylor cone status. This approach enabled matching the ion current with the Taylor cone occurrence. There was no apparent difference between the MS signals recorded in the presence and absence of a Taylor cone. Additionally, a Faraday plate was employed as a detector in offline experiments, revealing agreement between the frequency of liquid meniscus (Taylor cone) oscillation (∼1.92 kHz)─measured by high-speed imaging─and the frequency of spray current (∼1.93 kHz). We suggest that the lack of positive correlations in the MS experiments is due to intrinsic ion carryover during transit from the ion source to the detector and due to the insufficient data acquisition rate of the mass spectrometer, which erases short-term fluctuations of ion current.

This research presents a thorough examination of the optical properties and performance enhancement strategies of synthesized phosphors, namely, yttrium aluminum garnet doped with cerium (YAG:Ce), sodium calcium silicate with samarium (NCS:Sm), and calcium aluminate oxide doped with manganese (CAO:Mn). The study delves into the synthesis processes of the phosphors, illumination of the crystal structures, and enhancement of luminescent characteristics. Additionally, the paper extends to the synthesis and analysis of {[Cu(μ₃-dmg)(im)₂]·3H₂O}_n (PKY159), and the coordination polymer (CP) was added the phosphors to explore a novel approach for enhanced optical performance. When the phosphor composites YAG:Ce, CAO:Mn, and NCS:Sm were made as poly(methyl methacrylate) (PMMA; for homogenization, stabilization) thin films with the coordination polymer PKY159 included, the intensity values increased by 97%, 96%, and 79%, respectively, in comparison to their pristine form. Also, all phosphors along with the PKY159 additive were examined for their decay time kinetics, thermal stabilities, CIE chromaticity coordinates, and quantum efficiencies. The YAG:Ce, NCS:Sm, and CAO:Mn mixes exhibit good thermal stability in addition to internal quantum efficiency (IQE) values that are much higher than the phosphors’ additive-free form (95.6%, 66.3%, and 84.6%, respectively). This increase is correlated to an increase in steady-state measurements. These comprehensive analyses contribute valuable insights into the design and optimization of phosphor and coordination polymer blends for improved optical functionality.

Rhoifolin (ROF) exhibits a diverse range of biological activities, encompassing anticancer, hepatoprotective, antidiabetic, antirheumatic, and antiviral properties. However, the specific protective effects and possible mechanisms of the compound against T-cell-mediated autoimmune hepatitis have not been previously elucidated. In the present study, adult male mice were administered Con A (20 mg/kg, intravenously) for 8 h. In the treated groups, mice were pretreated with ROF daily (20 mg/kg and 40 mg/kg, orally) for 7 days before Con A intoxication. The results showed that ROF significantly decreased serum biochemical indices (ALT, AST, ALP, and LDH) and regulated related oxidative stress indicators (MDA, SOD, and GSH), reduced hepatic necrosis areas and immune cells infiltration, inhibited the release of various inflammatory factors (TNF-α, IFN-γ, IL-2, and IL-17), and improved hepatic tissue apoptosis, thereby alleviating hepatic damage induced by Con A. Additionally, we have also confirmed that ROF efficiently inhibited Th1/Th17 cells polarization via modulation of the JAK2/JAK3/STAT1/STAT3 signaling pathways both in vivo and in vitro. Moreover, the molecular mechanism examination also demonstrated that ROF regulated apoptotic cascade signaling through IL-6/JAK2/STAT1/STAT3 controlling BNIP3 activity in primary hepatocytes. These effects were in good agreement with the bioinformatics analysis of ROF treatment for AIH. In conclusion, our findings provide new insights into the potential use of ROF for AIH therapy, which may result from the specific regulation of the T cell subtype polarization and the apoptosis of liver cells via modulation of the JAKs/STATs signaling pathways.

Cancer resistance to drugs and chemotherapy is a problem faced by public health systems worldwide. Repositioning antimicrobial peptides could be an efficient strategy to overcome that problem. This study aimed at repurposing antimicrobial peptides PepGAT and PepKAA for cancer treatment. After screening against several cancers, PepGAT and PepKAA presented IC50 values of 125.42 and 40.51 μM at 72 h toward colorectal cancer (CRC) cells. The mechanisms of action revealed that both peptides induced cell cycle arrest in G2/M and drove HCT-116 cells to death by triggering apoptosis. qPCR analysis revealed that peptides modulated gene expression in apoptosis, corroborating the data from caspase 3/7 and flow cytometry experiments. Yet, peptides induced ROS overaccumulation and increased membrane permeabilization, pore formation, and loss of internal content, leading to death. Additionally, peptides were able to inhibit cell invasion. Previous studies from the same group attested to no toxicity to normal human cells. Thus, PepGAT and PepKAA have great potential as anticancer molecules.

Based on UHPLC-QTOF-MS^E analysis and quantized processing, combined with machine learning algorithms, data modeling was carried out to realize digital identification of bear bile powder (BBP), chicken bile powder (CIBP), duck bile powder (DBP), cow bile powder (CBP), sheep bile powder (SBP), pig bile powder (PBP), snake bile powder (SNBP), rabbit bile powder (RBP), and goose bile powder (GBP). First, 173 batches of bile samples were analyzed by UHPLC-QTOF-MS^E to obtain the retention time-exact mass (RTEM) data pair to identify bile acid-like chemical components. Then, the data were modeled by combining support vector machine (SVM), random forest (RF), artificial neural network (ANN), gradient boosting (GB), AdaBoost (AB), and Naive Bayes (NB), and the models were evaluated by the parameters of accuracy (Acc), precision (P), and area under the curve (AUC). Finally, the bile medicines were digitally identified based on the optimal model. The results showed that the RF model constructed based on the identified 12 bile acid-like chemical constituents and random forest algorithm is optimal with ACC, P, and AUC > 0.950. In addition, the accuracy of external identification verification of 42 batches of bile medicines detected at different times is 100.0%. So based on UHPLC-QTOF-MS^E analysis and combined with the RF algorithm, it can efficiently and accurately realize the digital identification of bile medicines, which can provide reference and assistance for the quality control of bile medicines. In addition, hyodeoxycholic acid, glycohyodeoxycholic acid, and taurochenodeoxycholic acid, and so forth are the most important bile acid constituents for the identification of nine bile medicines.

Synthetic antibiotics known as sulfonamides suppress the synthesis of tetrahydrofolic acid, which cures respiratory tract infections and protozoal infections by preventing the creation of dihydrofolic acid. Electrochemical sensors based on tetrakis(1,10-phenanthroline)-μ-(4,4′-bipyridine) dicopper(II) chloride monohydrate ([P₂Cu-Bip-CuP₂]Cl₄·H₂O or simply Cu₂P₄BCl₄) have been successfully applied for the determination of sulfamethoxazole (SMX) and trimethoprim (TMP) from samples. The experimental conditions and parameters were optimized to achieve the best electrode performances for simultaneous quantification of SMX and TMP. Based on the analysis of the effect of scan rate on the peak parameters, the R² for the peak current vs square root of the scan rate was greater than that of the peak current vs scan rate, indicating diffusion-controlled behavior of both species. The current intensities of both SMX and TMP were highly improved due to surface activation of the electrodes by electropolymerization. For SMX, the limit of detection was determined to be 27.94 nM, while for TMP, it was 21.56 nM, and the limit of quantifications was 71.88 nM, and the corresponding relative standard deviation for each was 0.74% and 0.11%. The constructed electrode was stored for varying durations ranging from two h to 2 days, and it was found to be above 97% stable after storing for 15 days. The real applicability of the suggested sensor for the simultaneous determination of SMX and TMP was verified by sensing clinical serum and urine samples and their spike recovery studies.