Plasmonic Biosensor Augmented by a Genetic Algorithm for Ultra-Rapid, Label-Free, and Multi-Functional Detection of COVID-19
The novel coronavirus (COVID-19) is spreading globally due to its super contagiousness, and the pandemic caused by it has caused serious damage to the health and social economy of all countries in the world. However, conventional diagnostic methods are not conducive to large-scale screening and earl...
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| Veröffentlicht in: | Analytical chemistry (Washington) 2021-07, Vol.93 (27), p.9437-9444 |
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| creator | Li, Dongxiao Zhou, Hong Hui, Xindan He, Xianming Mu, Xiaojing |
| description | The novel coronavirus (COVID-19) is spreading globally due to its super contagiousness, and the pandemic caused by it has caused serious damage to the health and social economy of all countries in the world. However, conventional diagnostic methods are not conducive to large-scale screening and early identification of infected persons due to their long detection time. Therefore, there is an urgent need to develop a new COVID-19 test method that can deliver results in real time and on-site. In this work, we develop a fast, ultra-sensitive, and multi-functional plasmonic biosensor based on surface-enhanced infrared absorption for COVID-19 on-site diagnosis. The genetic algorithm intelligent program is utilized to automatically design and quickly optimize the sensing device to enhance the sensing performance. As a result, the quantitative detection of COVID-19 with an ultra-high sensitivity (1.66%/nm), a wide detection range, and a diverse measurement environment (gas/liquid) is achieved. In addition, the unique infrared fingerprint recognition characteristics of the sensor also make it an ideal choice for mutant virus screening. This work can not only provide a powerful diagnostic tool for the ultra-rapid, label-free, and multi-functional detection of COVID-19 but also help gain new insights into the field of label-free and ultrasensitive biosensing. |
| doi_str_mv | 10.1021/acs.analchem.1c01078 |
| format | Article |
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However, conventional diagnostic methods are not conducive to large-scale screening and early identification of infected persons due to their long detection time. Therefore, there is an urgent need to develop a new COVID-19 test method that can deliver results in real time and on-site. In this work, we develop a fast, ultra-sensitive, and multi-functional plasmonic biosensor based on surface-enhanced infrared absorption for COVID-19 on-site diagnosis. The genetic algorithm intelligent program is utilized to automatically design and quickly optimize the sensing device to enhance the sensing performance. As a result, the quantitative detection of COVID-19 with an ultra-high sensitivity (1.66%/nm), a wide detection range, and a diverse measurement environment (gas/liquid) is achieved. In addition, the unique infrared fingerprint recognition characteristics of the sensor also make it an ideal choice for mutant virus screening. This work can not only provide a powerful diagnostic tool for the ultra-rapid, label-free, and multi-functional detection of COVID-19 but also help gain new insights into the field of label-free and ultrasensitive biosensing.</description><identifier>ISSN: 0003-2700</identifier><identifier>EISSN: 1520-6882</identifier><identifier>DOI: 10.1021/acs.analchem.1c01078</identifier><identifier>PMID: 34170680</identifier><language>eng</language><publisher>Washington: American Chemical Society</publisher><subject>Algorithms ; Analytical chemistry ; Biometric recognition systems ; Biosensors ; Chemistry ; Coronaviruses ; COVID-19 ; Design optimization ; Disease transmission ; Fingerprint verification ; Genetic algorithms ; Infrared absorption ; Intelligent programs ; Onsite ; Pandemics ; Plasmonics ; Screening ; Viral diseases ; Viruses</subject><ispartof>Analytical chemistry (Washington), 2021-07, Vol.93 (27), p.9437-9444</ispartof><rights>2021 American Chemical Society</rights><rights>Copyright American Chemical Society Jul 13, 2021</rights><rights>2021 American Chemical Society 2021 American Chemical Society</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a454t-b3d7412750fb5d9e0eb90c1eab53d4e38c8208f7d493eda29c4b9c2ad7743acd3</citedby><cites>FETCH-LOGICAL-a454t-b3d7412750fb5d9e0eb90c1eab53d4e38c8208f7d493eda29c4b9c2ad7743acd3</cites><orcidid>0000-0002-3146-2238 ; 0000-0003-2024-2595</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://pubs.acs.org/doi/pdf/10.1021/acs.analchem.1c01078$$EPDF$$P50$$Gacs$$H</linktopdf><linktohtml>$$Uhttps://pubs.acs.org/doi/10.1021/acs.analchem.1c01078$$EHTML$$P50$$Gacs$$H</linktohtml><link.rule.ids>230,314,778,782,883,2754,27063,27911,27912,56725,56775</link.rule.ids></links><search><creatorcontrib>Li, Dongxiao</creatorcontrib><creatorcontrib>Zhou, Hong</creatorcontrib><creatorcontrib>Hui, Xindan</creatorcontrib><creatorcontrib>He, Xianming</creatorcontrib><creatorcontrib>Mu, Xiaojing</creatorcontrib><title>Plasmonic Biosensor Augmented by a Genetic Algorithm for Ultra-Rapid, Label-Free, and Multi-Functional Detection of COVID-19</title><title>Analytical chemistry (Washington)</title><addtitle>Anal. Chem</addtitle><description>The novel coronavirus (COVID-19) is spreading globally due to its super contagiousness, and the pandemic caused by it has caused serious damage to the health and social economy of all countries in the world. However, conventional diagnostic methods are not conducive to large-scale screening and early identification of infected persons due to their long detection time. Therefore, there is an urgent need to develop a new COVID-19 test method that can deliver results in real time and on-site. In this work, we develop a fast, ultra-sensitive, and multi-functional plasmonic biosensor based on surface-enhanced infrared absorption for COVID-19 on-site diagnosis. The genetic algorithm intelligent program is utilized to automatically design and quickly optimize the sensing device to enhance the sensing performance. As a result, the quantitative detection of COVID-19 with an ultra-high sensitivity (1.66%/nm), a wide detection range, and a diverse measurement environment (gas/liquid) is achieved. In addition, the unique infrared fingerprint recognition characteristics of the sensor also make it an ideal choice for mutant virus screening. 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Zhou, Hong ; Hui, Xindan ; He, Xianming ; Mu, Xiaojing</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a454t-b3d7412750fb5d9e0eb90c1eab53d4e38c8208f7d493eda29c4b9c2ad7743acd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Algorithms</topic><topic>Analytical chemistry</topic><topic>Biometric recognition systems</topic><topic>Biosensors</topic><topic>Chemistry</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>Design optimization</topic><topic>Disease transmission</topic><topic>Fingerprint verification</topic><topic>Genetic algorithms</topic><topic>Infrared absorption</topic><topic>Intelligent programs</topic><topic>Onsite</topic><topic>Pandemics</topic><topic>Plasmonics</topic><topic>Screening</topic><topic>Viral diseases</topic><topic>Viruses</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Dongxiao</creatorcontrib><creatorcontrib>Zhou, Hong</creatorcontrib><creatorcontrib>Hui, Xindan</creatorcontrib><creatorcontrib>He, Xianming</creatorcontrib><creatorcontrib>Mu, Xiaojing</creatorcontrib><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Biotechnology Research Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Analytical chemistry (Washington)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Dongxiao</au><au>Zhou, Hong</au><au>Hui, Xindan</au><au>He, Xianming</au><au>Mu, Xiaojing</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Plasmonic Biosensor Augmented by a Genetic Algorithm for Ultra-Rapid, Label-Free, and Multi-Functional Detection of COVID-19</atitle><jtitle>Analytical chemistry (Washington)</jtitle><addtitle>Anal. Chem</addtitle><date>2021-07-13</date><risdate>2021</risdate><volume>93</volume><issue>27</issue><spage>9437</spage><epage>9444</epage><pages>9437-9444</pages><issn>0003-2700</issn><eissn>1520-6882</eissn><abstract>The novel coronavirus (COVID-19) is spreading globally due to its super contagiousness, and the pandemic caused by it has caused serious damage to the health and social economy of all countries in the world. However, conventional diagnostic methods are not conducive to large-scale screening and early identification of infected persons due to their long detection time. Therefore, there is an urgent need to develop a new COVID-19 test method that can deliver results in real time and on-site. In this work, we develop a fast, ultra-sensitive, and multi-functional plasmonic biosensor based on surface-enhanced infrared absorption for COVID-19 on-site diagnosis. The genetic algorithm intelligent program is utilized to automatically design and quickly optimize the sensing device to enhance the sensing performance. As a result, the quantitative detection of COVID-19 with an ultra-high sensitivity (1.66%/nm), a wide detection range, and a diverse measurement environment (gas/liquid) is achieved. In addition, the unique infrared fingerprint recognition characteristics of the sensor also make it an ideal choice for mutant virus screening. 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| ispartof | Analytical chemistry (Washington), 2021-07, Vol.93 (27), p.9437-9444 |
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| source | ACS Publications |
| subjects | Algorithms Analytical chemistry Biometric recognition systems Biosensors Chemistry Coronaviruses COVID-19 Design optimization Disease transmission Fingerprint verification Genetic algorithms Infrared absorption Intelligent programs Onsite Pandemics Plasmonics Screening Viral diseases Viruses |
| title | Plasmonic Biosensor Augmented by a Genetic Algorithm for Ultra-Rapid, Label-Free, and Multi-Functional Detection of COVID-19 |
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