Fluorometric Sniff-Cam (Gas-Imaging System) Utilizing Alcohol Dehydrogenase for Imaging Concentration Distribution of Acetaldehyde in Breath and Transdermal Vapor after Drinking
- Kenta Iitani
- ,
- Toshiyuki Sato
- ,
- Munire Naisierding
- ,
- Yuuki Hayakawa
- ,
- Koji Toma
- ,
- Takahiro Arakawa
- , and
- Kohji Mitsubayashi
Abstract
Understanding concentration distributions, release sites, and release dynamics of volatile organic compounds (VOCs) from the human is expected to lead to methods for noninvasive disease screening and assessment of metabolisms. In this study, we developed a visualization system (sniff-cam) that enabled one to identify a spatiotemporal change of gaseous acetaldehyde (AcH) in real-time. AcH sniff-cam was composed of a camera, a UV-LED array sheet, and an alcohol dehydrogenase (ADH)-immobilized mesh. A reverse reaction of ADH was employed for detection of gaseous AcH where a relationship between fluorescence intensity from nicotinamide adenine dinucleotide and the concentration of AcH was inversely proportional; thus, the concentration distribution of AcH was measured by detecting the fluorescence decrease. Moreover, the image differentiation method that calculated a fluorescence change rate was employed to visualize a real-time change in the concentration distribution of AcH. The dynamic range of the sniff-cam was 0.1–10 ppm which encompassed breath AcH concentrations after drinking. Finally, the sniff-cam achieved the visualization of the concentration distribution of AcH in breath and skin gas. A clear difference of breath AcH concentration was observed between aldehyde dehydrogenase type 2 active and inactive subjects, which was attributed to metabolic capacities of AcH. AcH in skin gas showed a similar time course of AcH concentration to the breath and a variety of release concentration distribution. Using different NADH-dependent dehydrogenases in the sniff-cam could lead to a versatile method for noninvasive disease screening by acquiring spatiotemporal information on various VOCs in breath or skin gas.
Cited By
This article is cited by 18 publications.
- Ashok Kumar, Akash Popat Gutal, Neelu Sharma, Deepu Kumar, Ge Zhang, Hyunah Kim, Pradeep Kumar, Manikandan Paranjothy, Mahesh Kumar, Michael S. Strano. Investigations of Vacancy-Assisted Selective Detection of NO2 Molecules in Vertically Aligned SnS2. ACS Sensors 2023, 8
(3)
, 1357-1367. https://doi.org/10.1021/acssensors.3c00133
- Qiuyue Wang, Zhao Li, Yitong Hao, Yuan Zhang, Chengxiao Zhang. Near-Infrared Fluorescence Probe with a New Recognition Moiety for Specific Detection and Imaging of Aldehyde Dehydrogenase Expecting the Identification and Isolation of Cancer Stem Cells. Analytical Chemistry 2022, 94
(49)
, 17328-17333. https://doi.org/10.1021/acs.analchem.2c04801
- Xiang Li, Miao-Miao Chen, Hai-Feng Su, Mei-Lin Zhang, Su-Yuan Xie, Lan-Sun Zheng. Real-Time Sniffing Mass Spectrometry Aided by Venturi Self-Pumping Applicable to Gaseous and Solid Surface Analysis. Analytical Chemistry 2022, 94
(40)
, 13719-13727. https://doi.org/10.1021/acs.analchem.2c01759
- Kenta Iitani, Koji Toma, Takahiro Arakawa, Kohji Mitsubayashi. Transcutaneous Blood VOC Imaging System (Skin-Gas Cam) with Real-Time Bio-Fluorometric Device on Rounded Skin Surface. ACS Sensors 2020, 5
(2)
, 338-345. https://doi.org/10.1021/acssensors.9b01658
- Kenta Iitani, Koji Toma, Takahiro Arakawa, Kohji Mitsubayashi. Ultrasensitive Sniff-Cam for Biofluorometric-Imaging of Breath Ethanol Caused by Metabolism of Intestinal Flora. Analytical Chemistry 2019, 91
(15)
, 9458-9465. https://doi.org/10.1021/acs.analchem.8b05840
- Huixian Ye, Eric C. Nallon, Vincent P. Schnee, Chen Shi, Kai Jiang, Jinxia Xu, Songlin Feng, Hui Wang, Qiliang Li. Enhance the Discrimination Precision of Graphene Gas Sensors with a Hidden Markov Model. Analytical Chemistry 2018, 90
(22)
, 13790-13795. https://doi.org/10.1021/acs.analchem.8b04386
- Takahiro Arakawa, Kenta Iitani, Koji Toma, Kohji Mitsubayashi. Biosensors: Gas Sensors. 2023, 478-504. https://doi.org/10.1016/B978-0-12-822548-6.00066-2
- Kenta Iitani, Misa Nakaya, Tsubomi Tomono, Koji Toma, Takahiro Arakawa, Yuji Tsuchido, Kohji Mitsubayashi, Naoya Takeda. Enzyme-embedded electrospun fiber sensor of hydrophilic polymer for fluorometric ethanol gas imaging in vapor phase. Biosensors and Bioelectronics 2022, 213 , 114453. https://doi.org/10.1016/j.bios.2022.114453
- Takahiro Arakawa, Takashi Aota, Kenta Iitani, Koji Toma, Yasuhiko Iwasaki, Kohji Mitsubayashi. Skin ethanol gas measurement system with a biochemical gas sensor and gas concentrator toward monitoring of blood volatile compounds. Talanta 2020, 219 , 121187. https://doi.org/10.1016/j.talanta.2020.121187
- Takahiro Arakawa, Kenta Iitani, Koji Toma, Kohji Mitsubayashi. Biochemical Gas Sensor and Gas Imaging System for Non-invasive Screening: A Review. IEEJ Transactions on Sensors and Micromachines 2020, 140
(11)
, 321-327. https://doi.org/10.1541/ieejsmas.140.321
- Kohji Mitsubayashi. Gas-Phase Biosensing for Non-Invasive Diagnosis and Healthcare Monitoring. Journal of The Japan Institute of Electronics Packaging 2020, 23
(5)
, 337-341. https://doi.org/10.5104/jiep.23.337
- Takahiro Arakawa, Kenta Iitanr, Naoki Mizukoshi, Toma Koji, Kohji Mitsubayashi. Highly Sensitive Fluorometric Imaging System “Sniff-CAM” for Analysis of Volatile Organic Compounds from Skin and Breath. 2019, 1-4. https://doi.org/10.1109/ICST46873.2019.9047709
- Yasufumi Yokoshiki, Takamichi Nakamoto. On-Line Mixture Quantification to Track Temporal Change of Composition Using FAIMS. Sensors 2019, 19
(24)
, 5442. https://doi.org/10.3390/s19245442
- Ming Cheng, Zepei Wu, Guannan Liu, Lianjing Zhao, Yuan Gao, Bo Zhang, Fangmeng Liu, Xu Yan, Xishaung Liang, Peng Sun, Geyu Lu. Highly sensitive sensors based on quasi-2D rGO/SnS2 hybrid for rapid detection of NO2 gas. Sensors and Actuators B: Chemical 2019, 291 , 216-225. https://doi.org/10.1016/j.snb.2019.04.074
- Kenta Iitani, Yuuki Hayakawa, Koji Toma, Takahiro Arakawa, Kohji Mitsubayashi. Switchable sniff-cam (gas-imaging system) based on redox reactions of alcohol dehydrogenase for ethanol and acetaldehyde in exhaled breath. Talanta 2019, 197 , 249-256. https://doi.org/10.1016/j.talanta.2018.12.070
- Huazhen Duan, Wei Deng, Zhenfei Gan, Dan Li, Dawei Li. SERS-based chip for discrimination of formaldehyde and acetaldehyde in aqueous solution using silver reduction. Microchimica Acta 2019, 186
(3)
https://doi.org/10.1007/s00604-019-3305-0
- Koji Toma, Fumiya Seshima, Ayumi Maruyama, Takahiro Arakawa, Kazuyoshi Yano, Kohji Mitsubayashi. Improved performance Air bio-battery based on efficient oxygen supply with a gas/liquid highly-porous diaphragm cell. Biosensors and Bioelectronics 2019, 124-125 , 253-259. https://doi.org/10.1016/j.bios.2018.09.091
- Kohji MITSUBAYASHI. Bio-Fluorometric Sniffer & Sniff-Cam for Real-Time Analysis of Body Volatiles. The Review of Laser Engineering 2018, 46
(9)
, 506. https://doi.org/10.2184/lsj.46.9_506