Identification and quantitative detection of two pathogenic bacteria based on a terahertz metasensor
Bacterial infection can cause a series of diseases and play a vital role in medical care. Therefore, early diagnosis of pathogenic bacteria is crucial for effective treatment and the prevention of further infection. However, restricted by the current technology, bacterial detection is usually time-c...
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Veröffentlicht in: | Nanoscale 2023-01, Vol.15 (2), p.515-521 |
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creator | Ma, Zhaofu Jiao, Yanan Zhang, Chiben Lou, Jing Zhao, Pengyue Zhang, Bin Wang, Yujia Yu, Ying Sun, Wen Yan, Yang Yang, Xingpeng Sun, Lang Wang, Ride Chang, Chao Li, Xiru Du, Xiaohui |
description | Bacterial infection can cause a series of diseases and play a vital role in medical care. Therefore, early diagnosis of pathogenic bacteria is crucial for effective treatment and the prevention of further infection. However, restricted by the current technology, bacterial detection is usually time-consuming and laborious and the samples need tedious processing even to be tested. Herein, we present a terahertz metasensor based on the coupling of electrical and toroidal dipoles to achieve rapid, non-destructive, label-free identification and highly sensitive quantitative detection of the two most common pathogenic bacteria. The reinforcement of the toroidal dipole significantly boosts the light-matter interactions around the surface of the microstructure, and thus the sensitivity and
Q
factor of the designed metasensor reach as high as 378 GHz per refractive index unit (RIU) and 21.28, respectively. Combined with the aforementioned advantages, the proposed metasensor successfully identified
Escherichia coli
and
Staphylococcus aureus
and quantitatively detected four concentrations with the lowest detectable concentration being ∼10
4
cfu mL
−1
in the experiment. This work naturally enriches the research on THz metasensors based on the interference mechanism and inspires more innovations to facilitate the development of biosensing applications.
A terahertz (THz) metasensor based on the coupling of electric and toroidal dipoles achieves rapid, non-destructive, label-free identification and highly sensitive quantitative detection for the two most common pathogenic bacteria. |
doi_str_mv | 10.1039/d2nr05038b |
format | Article |
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Q
factor of the designed metasensor reach as high as 378 GHz per refractive index unit (RIU) and 21.28, respectively. Combined with the aforementioned advantages, the proposed metasensor successfully identified
Escherichia coli
and
Staphylococcus aureus
and quantitatively detected four concentrations with the lowest detectable concentration being ∼10
4
cfu mL
−1
in the experiment. This work naturally enriches the research on THz metasensors based on the interference mechanism and inspires more innovations to facilitate the development of biosensing applications.
A terahertz (THz) metasensor based on the coupling of electric and toroidal dipoles achieves rapid, non-destructive, label-free identification and highly sensitive quantitative detection for the two most common pathogenic bacteria.</description><identifier>ISSN: 2040-3364</identifier><identifier>EISSN: 2040-3372</identifier><identifier>DOI: 10.1039/d2nr05038b</identifier><identifier>PMID: 36519408</identifier><language>eng</language><publisher>England: Royal Society of Chemistry</publisher><subject>Bacteria ; Bacterial diseases ; Bacterial infections ; Biosensing Techniques ; Dipoles ; E coli ; Escherichia coli ; Humans ; Limit of Detection ; Refractivity ; Staphylococcal Infections</subject><ispartof>Nanoscale, 2023-01, Vol.15 (2), p.515-521</ispartof><rights>Copyright Royal Society of Chemistry 2023</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c337t-c1a48238527bc583fc44afdc4da5922fed646c413911371536461c183409e9683</citedby><cites>FETCH-LOGICAL-c337t-c1a48238527bc583fc44afdc4da5922fed646c413911371536461c183409e9683</cites><orcidid>0000-0002-4081-1583 ; 0000-0002-4444-483X ; 0000-0002-7438-9392</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36519408$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ma, Zhaofu</creatorcontrib><creatorcontrib>Jiao, Yanan</creatorcontrib><creatorcontrib>Zhang, Chiben</creatorcontrib><creatorcontrib>Lou, Jing</creatorcontrib><creatorcontrib>Zhao, Pengyue</creatorcontrib><creatorcontrib>Zhang, Bin</creatorcontrib><creatorcontrib>Wang, Yujia</creatorcontrib><creatorcontrib>Yu, Ying</creatorcontrib><creatorcontrib>Sun, Wen</creatorcontrib><creatorcontrib>Yan, Yang</creatorcontrib><creatorcontrib>Yang, Xingpeng</creatorcontrib><creatorcontrib>Sun, Lang</creatorcontrib><creatorcontrib>Wang, Ride</creatorcontrib><creatorcontrib>Chang, Chao</creatorcontrib><creatorcontrib>Li, Xiru</creatorcontrib><creatorcontrib>Du, Xiaohui</creatorcontrib><title>Identification and quantitative detection of two pathogenic bacteria based on a terahertz metasensor</title><title>Nanoscale</title><addtitle>Nanoscale</addtitle><description>Bacterial infection can cause a series of diseases and play a vital role in medical care. Therefore, early diagnosis of pathogenic bacteria is crucial for effective treatment and the prevention of further infection. However, restricted by the current technology, bacterial detection is usually time-consuming and laborious and the samples need tedious processing even to be tested. Herein, we present a terahertz metasensor based on the coupling of electrical and toroidal dipoles to achieve rapid, non-destructive, label-free identification and highly sensitive quantitative detection of the two most common pathogenic bacteria. The reinforcement of the toroidal dipole significantly boosts the light-matter interactions around the surface of the microstructure, and thus the sensitivity and
Q
factor of the designed metasensor reach as high as 378 GHz per refractive index unit (RIU) and 21.28, respectively. Combined with the aforementioned advantages, the proposed metasensor successfully identified
Escherichia coli
and
Staphylococcus aureus
and quantitatively detected four concentrations with the lowest detectable concentration being ∼10
4
cfu mL
−1
in the experiment. This work naturally enriches the research on THz metasensors based on the interference mechanism and inspires more innovations to facilitate the development of biosensing applications.
A terahertz (THz) metasensor based on the coupling of electric and toroidal dipoles achieves rapid, non-destructive, label-free identification and highly sensitive quantitative detection for the two most common pathogenic bacteria.</description><subject>Bacteria</subject><subject>Bacterial diseases</subject><subject>Bacterial infections</subject><subject>Biosensing Techniques</subject><subject>Dipoles</subject><subject>E coli</subject><subject>Escherichia coli</subject><subject>Humans</subject><subject>Limit of Detection</subject><subject>Refractivity</subject><subject>Staphylococcal Infections</subject><issn>2040-3364</issn><issn>2040-3372</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpdkU1LAzEQhoMoWqsX70rAiwjVfG_2qPUTREH0vKTJrK60mzbJKvrrTVut4GmGd54ZZt5BaI-SE0p4eepYG4gkXI_WUI8RQQacF2x9lSuxhbZjfCNElVzxTbTFlaSlILqH3K2DNjV1Y01qfItN6_CsM1lKWXgH7CCBXZR8jdOHx1OTXv0LtI3FI2MThMbkJILD83acBfMKIX3hCaQst9GHHbRRm3GE3Z_YR89Xl0_Dm8Hdw_Xt8OxuYPPCaWCpEZpxLVkxslLz2gphameFM7JkrAanhLKC8pJSXlCZD1PUUs0FKaFUmvfR0XLuNPhZBzFVkyZaGI9NC76LFSuk0FLTQmX08B_65rvQ5u0ypUghi0LMqeMlZYOPMUBdTUMzMeGzoqSae19dsPvHhffnGT74GdmNJuBW6K_ZGdhfAiHaVfXvefwb_bWITQ</recordid><startdate>20230105</startdate><enddate>20230105</enddate><creator>Ma, Zhaofu</creator><creator>Jiao, Yanan</creator><creator>Zhang, Chiben</creator><creator>Lou, Jing</creator><creator>Zhao, Pengyue</creator><creator>Zhang, Bin</creator><creator>Wang, Yujia</creator><creator>Yu, Ying</creator><creator>Sun, Wen</creator><creator>Yan, Yang</creator><creator>Yang, Xingpeng</creator><creator>Sun, Lang</creator><creator>Wang, Ride</creator><creator>Chang, Chao</creator><creator>Li, Xiru</creator><creator>Du, Xiaohui</creator><general>Royal Society of Chemistry</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SR</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>JG9</scope><scope>L7M</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-4081-1583</orcidid><orcidid>https://orcid.org/0000-0002-4444-483X</orcidid><orcidid>https://orcid.org/0000-0002-7438-9392</orcidid></search><sort><creationdate>20230105</creationdate><title>Identification and quantitative detection of two pathogenic bacteria based on a terahertz metasensor</title><author>Ma, Zhaofu ; Jiao, Yanan ; Zhang, Chiben ; Lou, Jing ; Zhao, Pengyue ; Zhang, Bin ; Wang, Yujia ; Yu, Ying ; Sun, Wen ; Yan, Yang ; Yang, Xingpeng ; Sun, Lang ; Wang, Ride ; Chang, Chao ; Li, Xiru ; Du, Xiaohui</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c337t-c1a48238527bc583fc44afdc4da5922fed646c413911371536461c183409e9683</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Bacteria</topic><topic>Bacterial diseases</topic><topic>Bacterial infections</topic><topic>Biosensing Techniques</topic><topic>Dipoles</topic><topic>E coli</topic><topic>Escherichia coli</topic><topic>Humans</topic><topic>Limit of Detection</topic><topic>Refractivity</topic><topic>Staphylococcal Infections</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ma, Zhaofu</creatorcontrib><creatorcontrib>Jiao, Yanan</creatorcontrib><creatorcontrib>Zhang, Chiben</creatorcontrib><creatorcontrib>Lou, Jing</creatorcontrib><creatorcontrib>Zhao, Pengyue</creatorcontrib><creatorcontrib>Zhang, Bin</creatorcontrib><creatorcontrib>Wang, Yujia</creatorcontrib><creatorcontrib>Yu, Ying</creatorcontrib><creatorcontrib>Sun, Wen</creatorcontrib><creatorcontrib>Yan, Yang</creatorcontrib><creatorcontrib>Yang, Xingpeng</creatorcontrib><creatorcontrib>Sun, Lang</creatorcontrib><creatorcontrib>Wang, Ride</creatorcontrib><creatorcontrib>Chang, Chao</creatorcontrib><creatorcontrib>Li, Xiru</creatorcontrib><creatorcontrib>Du, Xiaohui</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Engineered Materials Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Materials Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>MEDLINE - Academic</collection><jtitle>Nanoscale</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ma, Zhaofu</au><au>Jiao, Yanan</au><au>Zhang, Chiben</au><au>Lou, Jing</au><au>Zhao, Pengyue</au><au>Zhang, Bin</au><au>Wang, Yujia</au><au>Yu, Ying</au><au>Sun, Wen</au><au>Yan, Yang</au><au>Yang, Xingpeng</au><au>Sun, Lang</au><au>Wang, Ride</au><au>Chang, Chao</au><au>Li, Xiru</au><au>Du, Xiaohui</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Identification and quantitative detection of two pathogenic bacteria based on a terahertz metasensor</atitle><jtitle>Nanoscale</jtitle><addtitle>Nanoscale</addtitle><date>2023-01-05</date><risdate>2023</risdate><volume>15</volume><issue>2</issue><spage>515</spage><epage>521</epage><pages>515-521</pages><issn>2040-3364</issn><eissn>2040-3372</eissn><abstract>Bacterial infection can cause a series of diseases and play a vital role in medical care. Therefore, early diagnosis of pathogenic bacteria is crucial for effective treatment and the prevention of further infection. However, restricted by the current technology, bacterial detection is usually time-consuming and laborious and the samples need tedious processing even to be tested. Herein, we present a terahertz metasensor based on the coupling of electrical and toroidal dipoles to achieve rapid, non-destructive, label-free identification and highly sensitive quantitative detection of the two most common pathogenic bacteria. The reinforcement of the toroidal dipole significantly boosts the light-matter interactions around the surface of the microstructure, and thus the sensitivity and
Q
factor of the designed metasensor reach as high as 378 GHz per refractive index unit (RIU) and 21.28, respectively. Combined with the aforementioned advantages, the proposed metasensor successfully identified
Escherichia coli
and
Staphylococcus aureus
and quantitatively detected four concentrations with the lowest detectable concentration being ∼10
4
cfu mL
−1
in the experiment. This work naturally enriches the research on THz metasensors based on the interference mechanism and inspires more innovations to facilitate the development of biosensing applications.
A terahertz (THz) metasensor based on the coupling of electric and toroidal dipoles achieves rapid, non-destructive, label-free identification and highly sensitive quantitative detection for the two most common pathogenic bacteria.</abstract><cop>England</cop><pub>Royal Society of Chemistry</pub><pmid>36519408</pmid><doi>10.1039/d2nr05038b</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0002-4081-1583</orcidid><orcidid>https://orcid.org/0000-0002-4444-483X</orcidid><orcidid>https://orcid.org/0000-0002-7438-9392</orcidid></addata></record> |
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language | eng |
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source | MEDLINE; Royal Society Of Chemistry Journals |
subjects | Bacteria Bacterial diseases Bacterial infections Biosensing Techniques Dipoles E coli Escherichia coli Humans Limit of Detection Refractivity Staphylococcal Infections |
title | Identification and quantitative detection of two pathogenic bacteria based on a terahertz metasensor |
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