tetano
Editor, Senior Moderator
ACS Appl Mater Interfaces
. 2023 Oct 25.
doi: 10.1021/acsami.3c08819. Online ahead of print. Rapid Detection of SARS-CoV-2 in Clinical and Environmental Samples via a Resonant Cavity SERS Platform within 20 min
Jinglin Huang[SUP] 1 [/SUP], Conghui Wang[SUP] 2 [/SUP], Pingshi Wang[SUP] 3 [/SUP], Wenbo Mo[SUP] 1 4 [/SUP], Minjie Zhou[SUP] 1 [/SUP], Wei Le[SUP] 1 [/SUP], Daojian Qi[SUP] 1 [/SUP], Lai Wei[SUP] 1 [/SUP], Quanping Fan[SUP] 1 [/SUP], Yue Yang[SUP] 1 [/SUP], Shuang Ni[SUP] 1 [/SUP], Yan Wu[SUP] 5 [/SUP], Yuliang Feng[SUP] 6 [/SUP], Xiang Wang[SUP] 3 [/SUP], Zongqing Zhao[SUP] 1 [/SUP], Zhibing He[SUP] 1 [/SUP], Haijun Zhang[SUP] 1 [/SUP], Peili Xue[SUP] 5 [/SUP], Bin Ren[SUP] 3 [/SUP], Lili Ren[SUP] 2 [/SUP], Ming Pan[SUP] 6 [/SUP], Kai Du[SUP] 1 [/SUP]
Affiliations
The coronavirus disease 2019 (COVID-19) epidemic has given a warning that it is important to explore the rapid detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in clinical specimens or environmental samples for public health strategies and future variants. The surface-enhanced Raman spectroscopy (SERS) technique was demonstrated to achieve this goal. However, the consistency of signals originating from the poor compatibility of virions with SERS hotspots remains a key scientific challenge for the practical applications of SERS. Herein, we develop a SERS platform for the ultrasensitive and rapid detection of SARS-CoV-2 antigen within 20 min by the combination of a highly consistent SERS substrate and a supervised deep learning algorithm. A V-shaped resonant cavity array (VRC) substrate was fabricated to trap SARS-CoV-2 virions in the periodic V cavity array and stimulate the integral SERS signal of the virus via a resonance coupling effect. Benefiting from the unique architecture of the VRC substrate, we were able to directly detect the SARS-CoV-2 virus with high sensitivity and high consistency. These excellent performances enabled us to identify five different kinds of SARS-CoV-2 variants and detect SARS-CoV-2 from clinical and environmental samples with high accuracies.
Keywords: SARS-CoV-2; deep learning; real-time environmental monitoring; resonant cavity; surface-enhanced Raman spectroscopy (SERS).
. 2023 Oct 25.
doi: 10.1021/acsami.3c08819. Online ahead of print. Rapid Detection of SARS-CoV-2 in Clinical and Environmental Samples via a Resonant Cavity SERS Platform within 20 min
Jinglin Huang[SUP] 1 [/SUP], Conghui Wang[SUP] 2 [/SUP], Pingshi Wang[SUP] 3 [/SUP], Wenbo Mo[SUP] 1 4 [/SUP], Minjie Zhou[SUP] 1 [/SUP], Wei Le[SUP] 1 [/SUP], Daojian Qi[SUP] 1 [/SUP], Lai Wei[SUP] 1 [/SUP], Quanping Fan[SUP] 1 [/SUP], Yue Yang[SUP] 1 [/SUP], Shuang Ni[SUP] 1 [/SUP], Yan Wu[SUP] 5 [/SUP], Yuliang Feng[SUP] 6 [/SUP], Xiang Wang[SUP] 3 [/SUP], Zongqing Zhao[SUP] 1 [/SUP], Zhibing He[SUP] 1 [/SUP], Haijun Zhang[SUP] 1 [/SUP], Peili Xue[SUP] 5 [/SUP], Bin Ren[SUP] 3 [/SUP], Lili Ren[SUP] 2 [/SUP], Ming Pan[SUP] 6 [/SUP], Kai Du[SUP] 1 [/SUP]
Affiliations
- PMID: 37878252
- DOI: 10.1021/acsami.3c08819
The coronavirus disease 2019 (COVID-19) epidemic has given a warning that it is important to explore the rapid detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in clinical specimens or environmental samples for public health strategies and future variants. The surface-enhanced Raman spectroscopy (SERS) technique was demonstrated to achieve this goal. However, the consistency of signals originating from the poor compatibility of virions with SERS hotspots remains a key scientific challenge for the practical applications of SERS. Herein, we develop a SERS platform for the ultrasensitive and rapid detection of SARS-CoV-2 antigen within 20 min by the combination of a highly consistent SERS substrate and a supervised deep learning algorithm. A V-shaped resonant cavity array (VRC) substrate was fabricated to trap SARS-CoV-2 virions in the periodic V cavity array and stimulate the integral SERS signal of the virus via a resonance coupling effect. Benefiting from the unique architecture of the VRC substrate, we were able to directly detect the SARS-CoV-2 virus with high sensitivity and high consistency. These excellent performances enabled us to identify five different kinds of SARS-CoV-2 variants and detect SARS-CoV-2 from clinical and environmental samples with high accuracies.
Keywords: SARS-CoV-2; deep learning; real-time environmental monitoring; resonant cavity; surface-enhanced Raman spectroscopy (SERS).