中国化学快报(英文版)2024,Vol.35Issue(7) :25-34.DOI:10.1016/j.cclet.2023.109220

Detection of SARS-CoV-2 based on artificial intelligence-assisted smartphone:A review

Yunxin Li Jinghui Zhang Jisen Chen Feng Zhu Zhiqiang Liu Peng Bao Wei Shen Sheng Tang
中国化学快报(英文版)2024,Vol.35Issue(7) :25-34.DOI:10.1016/j.cclet.2023.109220

Detection of SARS-CoV-2 based on artificial intelligence-assisted smartphone:A review

Yunxin Li 1Jinghui Zhang 1Jisen Chen 1Feng Zhu 2Zhiqiang Liu 1Peng Bao 1Wei Shen 1Sheng Tang1
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作者信息

  • 1. School of Environmental and Chemical Engineering,Jiangsu University of Science and Technology,Zhenjiang 212003,China
  • 2. Programme in Emerging Infectious Diseases,Duke-NUS Medical School,Singapore 169857,Singapore
  • 折叠

Abstract

In recent years,the application of smartphone in various fields has received great attention,and it has become a promising tool in virus detection,data processing and data exchange.During the rapid spread of COVID-19 around the world,many traditional detection methods have been combined with smart-phone to assist in the analysis and detection of the novel coronavirus(SARS-CoV-2),including electro-chemistry,fluorescence and colorimetry.With the gradual development of artificial intelligence(AI),the combination of AI and smartphone to analyze SARS-CoV-2 was also the focus of research.Based on the summary of the traditional methods combined with smartphone to detect SARS-CoV-2 virus,in addition to AI-based data processing,AI algorithms are also employed for SARS-CoV-2 detection itself.This review discussed both strategies and focused on the application of the former.The combination of AI algorithm and smartphone to detect SARS-CoV-2 has high accuracy,which is more conducive to meeting the needs of portable detection.In addition,the classification of SARS-CoV-2 virus samples in biological fluids such as blood and saliva was also discussed.Finally,this paper briefly discussed the limitations of using smart-phone analysis to detect SARS-CoV-2,as well as the prospect and future development of virus detection.In conclusion,the detection methods based on smartphone and AI algorithms show great potential in the detection of SARS-CoV-2 and can be a valuable complement to traditional analysis methods.

Key words

COVID-19/SARS-CoV-2 virus/Detection method/Smartphone analysis/Artificial intelligence

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基金项目

National Natural Science Foundation of China(21605105)

National Natural Science Foundation of China(22204064)

National Natural Science Foundation of China(22276080)

Natural Science Foundation of Jiangsu Province,China(BK20211340)

Natural Science Foundation of Jiangsu Province,China(BK20220645)

出版年

2024
中国化学快报(英文版)
中国化学会

中国化学快报(英文版)

CSTPCDCSCD
影响因子:0.771
ISSN:1001-8417
参考文献量97
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