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Colorimetric Detection of SARS-CoV-2 Using Plasmonic Biosensors and Smartphones.
ACS Appl Mater Interfaces. 2022 Dec 14; 14(49):54527-54538.AA

Abstract

Low-cost, instrument-free colorimetric tests were developed to detect SARS-CoV-2 using plasmonic biosensors with Au nanoparticles functionalized with polyclonal antibodies (f-AuNPs). Intense color changes were noted with the naked eye owing to plasmon coupling when f-AuNPs form clusters on the virus, with high sensitivity and a detection limit of 0.28 PFU mL[-1] (PFU stands for plaque-forming units) in human saliva. Plasmon coupling was corroborated with computer simulations using the finite-difference time-domain (FDTD) method. The strategies based on preparing plasmonic biosensors with f-AuNPs are robust to permit SARS-CoV-2 detection via dynamic light scattering and UV-vis spectroscopy without interference from other viruses, such as influenza and dengue viruses. The diagnosis was made with a smartphone app after processing the images collected from the smartphone camera, measuring the concentration of SARS-CoV-2. Both image processing and machine learning algorithms were found to provide COVID-19 diagnosis with 100% accuracy for saliva samples. In subsidiary experiments, we observed that the biosensor could be used to detect the virus in river waters without pretreatment. With fast responses and requiring small sample amounts (only 20 μL), these colorimetric tests can be deployed in any location within the point-of-care diagnosis paradigm for epidemiological control.

Authors+Show Affiliations

São Carlos Institute of Physics, University of São Paulo, P.O Box 369, 13560-970São Carlos, SP, Brazil. São Carlos Institute of Chemistry, University of São Paulo, 13566-590São Carlos, SP, Brazil.São Carlos Institute of Physics, University of São Paulo, P.O Box 369, 13560-970São Carlos, SP, Brazil.São Carlos Institute of Chemistry, University of São Paulo, 13566-590São Carlos, SP, Brazil. National Institute of Science and Technology in Bioanalytics - INCTBio, 13083-970Campinas, SP, Brazil.Department of Applied Physics, "Gleb Wataghin" Institute of Physics (IFGW), University of Campinas (UNICAMP), 13083-859Campinas, SP, Brazil.Department of Chemistry, Federal University of São Carlos (UFSCar), 13560-970São Carlos, São Paulo, Brazil.Nanotechnology National Laboratory for Agriculture, Embrapa Instrumentation, 13560-970São Carlos, SP, Brazil.São Carlos Institute of Chemistry, University of São Paulo, 13566-590São Carlos, SP, Brazil.São Carlos Institute of Chemistry, University of São Paulo, 13566-590São Carlos, SP, Brazil.Department of Genetics Evolution, Microbiology, and Immunology, Institute of Biology, University of Campinas, 13083-970Campinas, SP, Brazil.Molecular Carcinogenesis Program, National Cancer Institute, 20231-050Rio de Janeiro, RJ, Brazil.Physics Department, del Valle University, AA 25360Cali, Colombia.Department of Genetics Evolution, Microbiology, and Immunology, Institute of Biology, University of Campinas, 13083-970Campinas, SP, Brazil.Nanotechnology National Laboratory for Agriculture, Embrapa Instrumentation, 13560-970São Carlos, SP, Brazil.São Carlos Institute of Chemistry, University of São Paulo, 13566-590São Carlos, SP, Brazil. National Institute of Science and Technology in Bioanalytics - INCTBio, 13083-970Campinas, SP, Brazil.São Carlos Institute of Physics, University of São Paulo, P.O Box 369, 13560-970São Carlos, SP, Brazil.Laboratory of Nanobiotechnology, Department of Genetics and Morphology, Institute of Biological Sciences, University of Brasilia, 70910-900Brasilia, DF, Brazil.São Carlos Institute of Physics, University of São Paulo, P.O Box 369, 13560-970São Carlos, SP, Brazil.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

36454041

Citation

Materón, Elsa M., et al. "Colorimetric Detection of SARS-CoV-2 Using Plasmonic Biosensors and Smartphones." ACS Applied Materials & Interfaces, vol. 14, no. 49, 2022, pp. 54527-54538.
Materón EM, Gómez FR, Almeida MB, et al. Colorimetric Detection of SARS-CoV-2 Using Plasmonic Biosensors and Smartphones. ACS Appl Mater Interfaces. 2022;14(49):54527-54538.
Materón, E. M., Gómez, F. R., Almeida, M. B., Shimizu, F. M., Wong, A., Teodoro, K. B. R., Silva, F. S. R., Lima, M. J. A., Angelim, M. K. S. C., Melendez, M. E., Porras, N., Vieira, P. M., Correa, D. S., Carrilho, E., Oliveira, O. N., Azevedo, R. B., & Goncalves, D. (2022). Colorimetric Detection of SARS-CoV-2 Using Plasmonic Biosensors and Smartphones. ACS Applied Materials & Interfaces, 14(49), 54527-54538. https://doi.org/10.1021/acsami.2c15407
Materón EM, et al. Colorimetric Detection of SARS-CoV-2 Using Plasmonic Biosensors and Smartphones. ACS Appl Mater Interfaces. 2022 Dec 14;14(49):54527-54538. PubMed PMID: 36454041.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Colorimetric Detection of SARS-CoV-2 Using Plasmonic Biosensors and Smartphones. AU - Materón,Elsa M, AU - Gómez,Faustino R, AU - Almeida,Mariana B, AU - Shimizu,Flavio M, AU - Wong,Ademar, AU - Teodoro,Kelcilene B R, AU - Silva,Filipe S R, AU - Lima,Manoel J A, AU - Angelim,Monara Kaelle S C, AU - Melendez,Matias E, AU - Porras,Nelson, AU - Vieira,Pedro M, AU - Correa,Daniel S, AU - Carrilho,Emanuel, AU - Oliveira,Osvaldo N,Jr AU - Azevedo,Ricardo B, AU - Goncalves,Débora, Y1 - 2022/12/01/ PY - 2022/12/2/pubmed PY - 2022/12/16/medline PY - 2022/12/1/entrez KW - SARS-CoV-2 KW - gold nanoparticles KW - image processing KW - localized surface plasmon resonance KW - machine learning KW - plasmonic coupling KW - point-of-care KW - portable sensor SP - 54527 EP - 54538 JF - ACS applied materials & interfaces JO - ACS Appl Mater Interfaces VL - 14 IS - 49 N2 - Low-cost, instrument-free colorimetric tests were developed to detect SARS-CoV-2 using plasmonic biosensors with Au nanoparticles functionalized with polyclonal antibodies (f-AuNPs). Intense color changes were noted with the naked eye owing to plasmon coupling when f-AuNPs form clusters on the virus, with high sensitivity and a detection limit of 0.28 PFU mL[-1] (PFU stands for plaque-forming units) in human saliva. Plasmon coupling was corroborated with computer simulations using the finite-difference time-domain (FDTD) method. The strategies based on preparing plasmonic biosensors with f-AuNPs are robust to permit SARS-CoV-2 detection via dynamic light scattering and UV-vis spectroscopy without interference from other viruses, such as influenza and dengue viruses. The diagnosis was made with a smartphone app after processing the images collected from the smartphone camera, measuring the concentration of SARS-CoV-2. Both image processing and machine learning algorithms were found to provide COVID-19 diagnosis with 100% accuracy for saliva samples. In subsidiary experiments, we observed that the biosensor could be used to detect the virus in river waters without pretreatment. With fast responses and requiring small sample amounts (only 20 μL), these colorimetric tests can be deployed in any location within the point-of-care diagnosis paradigm for epidemiological control. SN - 1944-8252 UR - https://www.unboundmedicine.com/medline/citation/36454041/Colorimetric_Detection_of_SARS_CoV_2_Using_Plasmonic_Biosensors_and_Smartphones_ DB - PRIME DP - Unbound Medicine ER -