Understanding the Excitation Wavelength Dependence and Thermal Stability of the SARS-CoV-2 Receptor-Binding Domain Using Surface-Enhanced Raman Scattering and Machine LearningClick to copy article linkArticle link copied!
- Kunyan ZhangKunyan ZhangDepartment of Electrical Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802, United StatesMore by Kunyan Zhang
- Ziyang WangZiyang WangDepartment of Electrical Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802, United StatesDepartment of Electrical and Computer Engineering, Rice University, Houston, Texas 77005, United StatesMore by Ziyang Wang
- He LiuHe LiuDepartment of Chemistry, The Pennsylvania State University, University Park, Pennsylvania 16802, United StatesMore by He Liu
- Néstor Perea-LópezNéstor Perea-LópezDepartment of Physics, The Pennsylvania State University, University Park, Pennsylvania 16802, United StatesCenter for 2-Dimensional and Layered Materials, The Pennsylvania State University, University Park, Pennsylvania 16802, United StatesMore by Néstor Perea-López
- Jeewan C. RanasingheJeewan C. RanasingheDepartment of Electrical Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802, United StatesDepartment of Electrical and Computer Engineering, Rice University, Houston, Texas 77005, United StatesMore by Jeewan C. Ranasinghe
- George BepeteGeorge BepeteDepartment of Chemistry, The Pennsylvania State University, University Park, Pennsylvania 16802, United StatesDepartment of Physics, The Pennsylvania State University, University Park, Pennsylvania 16802, United StatesCenter for 2-Dimensional and Layered Materials, The Pennsylvania State University, University Park, Pennsylvania 16802, United StatesMore by George Bepete
- Allen M. MinnsAllen M. MinnsDepartment of Biochemistry and Molecular Biology, Center for Infectious Disease Dynamics, The Pennsylvania State University, University Park, Pennsylvania 16802, United StatesHuck Institutes of the Life Sciences, The Pennsylvania State University, University Park, Pennsylvania 16802, United StatesMore by Allen M. Minns
- Randall M. RossiRandall M. RossiHuck Institutes of the Life Sciences, The Pennsylvania State University, University Park, Pennsylvania 16802, United StatesMore by Randall M. Rossi
- Scott E. LindnerScott E. LindnerDepartment of Biochemistry and Molecular Biology, Center for Infectious Disease Dynamics, The Pennsylvania State University, University Park, Pennsylvania 16802, United StatesHuck Institutes of the Life Sciences, The Pennsylvania State University, University Park, Pennsylvania 16802, United StatesMore by Scott E. Lindner
- Sharon X. HuangSharon X. HuangCollege of Information Sciences and Technology, The Pennsylvania State University, University Park, Pennsylvania 16802, United StatesMore by Sharon X. Huang
- Mauricio Terrones*Mauricio Terrones*Email: [email protected]Department of Chemistry, The Pennsylvania State University, University Park, Pennsylvania 16802, United StatesDepartment of Physics, The Pennsylvania State University, University Park, Pennsylvania 16802, United StatesCenter for 2-Dimensional and Layered Materials, The Pennsylvania State University, University Park, Pennsylvania 16802, United StatesDepartment of Materials Science and Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802, United StatesResearch Initiative for Supra Materials, Shinshu University, 4-17-1 Wakasato, Nagano 380-8553, JapanMore by Mauricio Terrones
- Shengxi Huang*Shengxi Huang*Email: [email protected]; [email protected]Department of Electrical Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802, United StatesDepartment of Electrical and Computer Engineering, Rice University, Houston, Texas 77005, United StatesMore by Shengxi Huang
Abstract

COVID-19 has cost millions of lives worldwide. The constant mutation of SARS-CoV-2 calls for thorough research to facilitate the development of variant surveillance. In this work, we studied the fundamental properties related to the optical identification of the receptor-binding domain (RBD) of SARS-CoV-2 spike protein, a key component of viral infection. The Raman modes of the SARS-CoV-2 RBD were captured by surface-enhanced Raman spectroscopy (SERS) using gold nanoparticles (AuNPs). The observed Raman enhancement strongly depends on the excitation wavelength as a result of the aggregation of AuNPs. The characteristic Raman spectra of RBDs from SARS-CoV-2 and MERS-CoV were analyzed by principal component analysis that reveals the role of secondary structures in the SERS process, which is corroborated with the thermal stability under laser heating. We can easily distinguish the Raman spectra of two RBDs using machine learning algorithms with accuracy, precision, recall, and F1 scores all over 95%. Our work provides an in-depth understanding of the SARS-CoV-2 RBD and paves the way toward rapid analysis and discrimination of complex proteins of infectious viruses and other biomolecules.
Cited By
Smart citations by scite.ai include citation statements extracted from the full text of the citing article. The number of the statements may be higher than the number of citations provided by ACS Publications if one paper cites another multiple times or lower if scite has not yet processed some of the citing articles.
This article is cited by 21 publications.
- Yufang Liu, Yanjun Yang, Haoran Lu, Jiaheng Cui, Xianyan Chen, Ping Ma, Wenxuan Zhong, Yiping Zhao. Extracting True Virus SERS Spectra and Augmenting Data for Improved Virus Classification and Quantification. ACS Sensors 2025, Article ASAP.
- Ziyang Wang, Jeewan C. Ranasinghe, Wenjing Wu, Dennis C. Y. Chan, Ashley Gomm, Rudolph E. Tanzi, Can Zhang, Nanyin Zhang, Genevera I. Allen, Shengxi Huang. Machine Learning Interpretation of Optical Spectroscopy Using Peak-Sensitive Logistic Regression. ACS Nano 2025, 19
(16)
, 15457-15473. https://doi.org/10.1021/acsnano.4c16037
- Rubens C. Souza, Julio C. Duarte, Ronaldo R. Goldschmidt, Itamar Borges, Jr.. Predicting Fluorescence Emission Wavelengths and Quantum Yields via Machine Learning. Journal of Chemical Information and Modeling 2025, 65
(7)
, 3270-3281. https://doi.org/10.1021/acs.jcim.4c02403
- Na Zhang, Kunyan Zhang, Min Zou, Rinu Abraham Maniyara, Timothy Andrew Bowen, Jonathon Ray Schrecengost, Arpit Jain, Da Zhou, Chengye Dong, Zhuohang Yu, He Liu, Noel C. Giebink, Joshua A. Robinson, Wei Hu, Shengxi Huang, Mauricio Terrones. Tuning the Fermi Level of Graphene by Two-Dimensional Metals for Raman Detection of Molecules. ACS Nano 2024, 18
(12)
, 8876-8884. https://doi.org/10.1021/acsnano.3c12152
- Hashim Jabbar, Inass Abdulah Zgair, Kamran Heydaryan, Shaymaa Awad Kadhim, Saeideh Mehmandoust, Vahid Eskandari, Hossein Sahbafar. Applications of artificial intelligence and machine learning in combination with surface-enhanced Raman spectroscopy (SERS). Chemometrics and Intelligent Laboratory Systems 2025, 263 , 105445. https://doi.org/10.1016/j.chemolab.2025.105445
- Mostafa Kamal Masud, Daigo Natsuhara, Yuchen Dai, Javeria Bashir, Asep Sugih Nugraha, Saad M. Alshehri, Yoshio Bando, Md. Shahriar Hossain, Yusuf Valentino Kaneti, Takayuki Shibata, Yusuke Yamauchi. A plasmonic mesoporous gold-based SERS-microfluidic platform for the detection of infectious diseases. Journal of Materials Chemistry C 2024, 12
(44)
, 17977-17985. https://doi.org/10.1039/D4TC01638F
- RyeAnne Ricker, Nestor Perea Lopez, Mauricio Terrones, Murray Loew, Elodie Ghedin. Rapid and label-free influenza A virus subtyping using surface-enhanced Raman spectroscopy with incident-wavelength analysis. Biomedical Optics Express 2024, 15
(9)
, 5081. https://doi.org/10.1364/BOE.533457
- Manal Hassan, Yiping Zhao, Susu M. Zughaier. Recent Advances in Bacterial Detection Using Surface-Enhanced Raman Scattering. Biosensors 2024, 14
(8)
, 375. https://doi.org/10.3390/bios14080375
- Jeewan C. Ranasinghe, Ziyang Wang, Shengxi Huang. Unveiling brain disorders using liquid biopsy and Raman spectroscopy. Nanoscale 2024, 16
(25)
, 11879-11913. https://doi.org/10.1039/D4NR01413H
- Wenjing Wu, Jeewan C. Ranasinghe, Arka Chatterjee, Shengxi Huang. Recent advances on Raman spectroscopy of graphene: towards biosensing applications. Materials Chemistry and Physics 2024, 318 , 129281. https://doi.org/10.1016/j.matchemphys.2024.129281
- Jael Abigail Medrano-Lopez, Isaela Villalpando, Ma Isabel Salazar, Carlos Torres-Torres. Hierarchical Nanobiosensors at the End of the SARS-CoV-2 Pandemic. Biosensors 2024, 14
(2)
, 108. https://doi.org/10.3390/bios14020108
- Sungwoon Lee, Sang-Woo Joo, Jaebum Choo. Recent Advances in SERS-based Biomedical Diagnostics of Covid-19. 2024, 635-653. https://doi.org/10.1007/978-981-97-5818-0_21
- Clarice E. Froehlich, Cassandra L. Wouters, Mahmoud Matar Abed, Vivian E. Ferry, Christy L. Haynes. Advances in Machine Learning for SERS Analysis. 2024, 165-192. https://doi.org/10.1007/978-981-97-5818-0_7
- Soo Hyun Lee, Iris Baffour Ansah, ChaeWon Mun, Jun-Yeong Yang, Ho Sang Jung, Jucheol Park, Sang-Yeol Nam, Min-Young Lee, Seunghun Lee, Dong-Ho Kim, Sung-Gyu Park. 3D plasmonic hotspot engineering toward ultrasensitive and rapid EC-SERS recognition of plasticizers. Microchemical Journal 2024, 196 , 109599. https://doi.org/10.1016/j.microc.2023.109599
- Hugo Cortes-Cano, Lilian Iraís Olvera, Emilia M. Méndez-Aguilar, Beatriz Liliana España-Sánchez, Luis Gerardo Arriaga, Goldie Oza, José Herrera-Celis. Surface Functionalization and Escherichia coli Detection Using Surface-Enhanced Raman Spectroscopy Driven by Functional Organic Polymer/Gold Nanofilm-Based Microfluidic Chip. Biosensors 2023, 13
(12)
, 994. https://doi.org/10.3390/bios13120994
- Wen Yang, Runcheng Liu, Jie Yan, Yan Xie, Chuanxin Wang, Mingshun Jiang, Peilong Li, Lutao Du. Ultra-sensitive and specific detection of pathogenic nucleic acids using composite-excited hyperfine plasma spectroscopy combs sensitized by Au nanoarrays functionalized with 2D Ta2C-MXene. Biosensors and Bioelectronics 2023, 235 , 115358. https://doi.org/10.1016/j.bios.2023.115358
- Diego P. dos Santos, Marcelo M. Sena, Mariana R. Almeida, Italo O. Mazali, Alejandro C. Olivieri, Javier E. L. Villa. Unraveling surface-enhanced Raman spectroscopy results through chemometrics and machine learning: principles, progress, and trends. Analytical and Bioanalytical Chemistry 2023, 415
(18)
, 3945-3966. https://doi.org/10.1007/s00216-023-04620-y
- Muhammad Shahbaz, Muhammad A. Butt, Ryszard Piramidowicz. A Concise Review of the Progress in Photonic Sensing Devices. Photonics 2023, 10
(6)
, 698. https://doi.org/10.3390/photonics10060698
- Reshma Beeram, Kameswara Rao Vepa, Venugopal Rao Soma. Recent Trends in SERS-Based Plasmonic Sensors for Disease Diagnostics, Biomolecules Detection, and Machine Learning Techniques. Biosensors 2023, 13
(3)
, 328. https://doi.org/10.3390/bios13030328
- Kefyalew Dagnew Addisu, Wen-Yi Lee, Hsieh-Chih Tsai, Szu-Yuan Wu. Fabrication of amino acid conjugated polymeric micelles for controlled anticancer drug delivery using radiation and pH-stimuli-triggering systems. Journal of Drug Delivery Science and Technology 2023, 80 , 104170. https://doi.org/10.1016/j.jddst.2023.104170
- Jeewan C. Ranasinghe, Ziyang Wang, Shengxi Huang. Raman Spectroscopy on Brain Disorders: Transition from Fundamental Research to Clinical Applications. Biosensors 2023, 13
(1)
, 27. https://doi.org/10.3390/bios13010027
Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.
Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.
The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated.