A highly reproducible SERS sensor based on an Au nanoparticles/graphene oxide hybrid nanocomposite for label-free quantitative detection of antibiotics
Ampicillin and nitrofurantoin, as broad-spectrum antibiotics, are widely used in the prevention of animal diseases and to ensure livestock growth. Large amounts of antibiotic residues exist in animal-derived foods, affecting food quality and safety, causing adverse side effects, such as allergic and...
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description | Ampicillin and nitrofurantoin, as broad-spectrum antibiotics, are widely used in the prevention of animal diseases and to ensure livestock growth. Large amounts of antibiotic residues exist in animal-derived foods, affecting food quality and safety, causing adverse side effects, such as allergic and toxic reactions, and increasing bacterial resistance. A sensitive surface enhanced Raman scattering (SERS) sensor is provided to detect low-concentration antibiotics (ampicillin and nitrofurantoin). The sensor is based on an Au nanoparticles/graphene oxide hybrid nanocomposite prepared by an
in situ
reduction method. The detection limits of ampicillin and nitrofurantoin are as low as 0.01 ng mL
−1
and 5 ng mL
−1
, respectively. The relative spectral intensity of the nitrofurantoin characteristic peak has a good linear relationship with the concentration of nitrofurantoin in the range of 500 ng mL
−1
and 5 ng mL
−1
(
R
2
= 0.99235). The structure also allows multi-sample measurement for a variety of antibiotics at the same time. The SERS sensor is easy to prepare, with high uniformity and reproducibility, and the sample does not require complex pretreatment and preparation. Sensitive and quantitative detection of antibiotics by the SERS sensor is of great interest in the fields of health care, food preparation, and environmental sampling.
Au nanoparticles/graphene oxide hybrid nanocomposites were prepared as a uniform and repeatable SERS sensor for multi-sample detection of antibiotics. |
doi_str_mv | 10.1039/d1an01185e |
format | Article |
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in situ
reduction method. The detection limits of ampicillin and nitrofurantoin are as low as 0.01 ng mL
−1
and 5 ng mL
−1
, respectively. The relative spectral intensity of the nitrofurantoin characteristic peak has a good linear relationship with the concentration of nitrofurantoin in the range of 500 ng mL
−1
and 5 ng mL
−1
(
R
2
= 0.99235). The structure also allows multi-sample measurement for a variety of antibiotics at the same time. The SERS sensor is easy to prepare, with high uniformity and reproducibility, and the sample does not require complex pretreatment and preparation. Sensitive and quantitative detection of antibiotics by the SERS sensor is of great interest in the fields of health care, food preparation, and environmental sampling.
Au nanoparticles/graphene oxide hybrid nanocomposites were prepared as a uniform and repeatable SERS sensor for multi-sample detection of antibiotics.</description><identifier>ISSN: 0003-2654</identifier><identifier>EISSN: 1364-5528</identifier><identifier>DOI: 10.1039/d1an01185e</identifier><identifier>PMID: 34515704</identifier><language>eng</language><publisher>CAMBRIDGE: Royal Soc Chemistry</publisher><subject>Ampicillin ; Animal health ; Antibiotics ; Chemistry ; Chemistry, Analytical ; Food ; Gold ; Graphene ; Livestock ; Nanocomposites ; Nanoparticles ; Physical Sciences ; Raman spectra ; Reproducibility ; Science & Technology ; Sensors ; Side effects</subject><ispartof>Analyst (London), 2021-09, Vol.146 (18), p.574-5746</ispartof><rights>Copyright Royal Society of Chemistry 2021</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>11</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000688137300001</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c314t-b3711b6b89b12993ad59c1b719243cb1af81eef3a52bd3a2c5970095a33059173</citedby><cites>FETCH-LOGICAL-c314t-b3711b6b89b12993ad59c1b719243cb1af81eef3a52bd3a2c5970095a33059173</cites><orcidid>0000-0003-2652-0699</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,781,785,2832,2833,27929,27930,39263</link.rule.ids></links><search><creatorcontrib>Wang, Yan</creatorcontrib><creatorcontrib>Chen, Huacai</creatorcontrib><creatorcontrib>Jiang, Li</creatorcontrib><title>A highly reproducible SERS sensor based on an Au nanoparticles/graphene oxide hybrid nanocomposite for label-free quantitative detection of antibiotics</title><title>Analyst (London)</title><addtitle>ANALYST</addtitle><description>Ampicillin and nitrofurantoin, as broad-spectrum antibiotics, are widely used in the prevention of animal diseases and to ensure livestock growth. Large amounts of antibiotic residues exist in animal-derived foods, affecting food quality and safety, causing adverse side effects, such as allergic and toxic reactions, and increasing bacterial resistance. A sensitive surface enhanced Raman scattering (SERS) sensor is provided to detect low-concentration antibiotics (ampicillin and nitrofurantoin). The sensor is based on an Au nanoparticles/graphene oxide hybrid nanocomposite prepared by an
in situ
reduction method. The detection limits of ampicillin and nitrofurantoin are as low as 0.01 ng mL
−1
and 5 ng mL
−1
, respectively. The relative spectral intensity of the nitrofurantoin characteristic peak has a good linear relationship with the concentration of nitrofurantoin in the range of 500 ng mL
−1
and 5 ng mL
−1
(
R
2
= 0.99235). The structure also allows multi-sample measurement for a variety of antibiotics at the same time. The SERS sensor is easy to prepare, with high uniformity and reproducibility, and the sample does not require complex pretreatment and preparation. Sensitive and quantitative detection of antibiotics by the SERS sensor is of great interest in the fields of health care, food preparation, and environmental sampling.
Au nanoparticles/graphene oxide hybrid nanocomposites were prepared as a uniform and repeatable SERS sensor for multi-sample detection of antibiotics.</description><subject>Ampicillin</subject><subject>Animal health</subject><subject>Antibiotics</subject><subject>Chemistry</subject><subject>Chemistry, Analytical</subject><subject>Food</subject><subject>Gold</subject><subject>Graphene</subject><subject>Livestock</subject><subject>Nanocomposites</subject><subject>Nanoparticles</subject><subject>Physical Sciences</subject><subject>Raman spectra</subject><subject>Reproducibility</subject><subject>Science & Technology</subject><subject>Sensors</subject><subject>Side effects</subject><issn>0003-2654</issn><issn>1364-5528</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>HGBXW</sourceid><recordid>eNqNks1u3CAURlGUKpkm3WRfCam7Vm64xthmOZpOf6SolZp0bQG-zhA54ABOO0_S1y0zE6XbrBDofAddPgi5APYRGJeXPSjHAFqBR2QBvK4KIcr2mCwYY7woa1Gdktcx3uUtMMFOyCmvBIiGVQvyd0k39nYzbmnAKfh-NlaPSK_XP69pRBd9oFpF7Kl3VDm6nKlTzk8qJGtGjJe3QU0bdEj9H9sj3Wx1sP2eMf5-8tEmpEOWjErjWAwBkT7MyiWbVLKPSHtMaJLNdj_Q3bm2PqvjOXk1qDHim6f1jPz6vL5ZfS2ufnz5tlpeFYZDlQrNGwBd61ZqKKXkqhfSgG5AlhU3GtTQAuLAlSh1z1VphGwYk0JxzoSEhp-RdwdvHv5hxpi6Oz8Hl6_sSpE1jLNaZur9gTLBxxhw6KZg71XYdsC6XQfdJ1h-33ewznB7gH-j9kM0Fp3B50AuoW5b4A1nuz5W-4fwbuVnl3L0w8ujmX57oEM0z9D_z8D_AUrSpC8</recordid><startdate>20210913</startdate><enddate>20210913</enddate><creator>Wang, Yan</creator><creator>Chen, Huacai</creator><creator>Jiang, Li</creator><general>Royal Soc Chemistry</general><general>Royal Society of Chemistry</general><scope>BLEPL</scope><scope>DTL</scope><scope>HGBXW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SR</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>JG9</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0003-2652-0699</orcidid></search><sort><creationdate>20210913</creationdate><title>A highly reproducible SERS sensor based on an Au nanoparticles/graphene oxide hybrid nanocomposite for label-free quantitative detection of antibiotics</title><author>Wang, Yan ; Chen, Huacai ; Jiang, Li</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c314t-b3711b6b89b12993ad59c1b719243cb1af81eef3a52bd3a2c5970095a33059173</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Ampicillin</topic><topic>Animal health</topic><topic>Antibiotics</topic><topic>Chemistry</topic><topic>Chemistry, Analytical</topic><topic>Food</topic><topic>Gold</topic><topic>Graphene</topic><topic>Livestock</topic><topic>Nanocomposites</topic><topic>Nanoparticles</topic><topic>Physical Sciences</topic><topic>Raman spectra</topic><topic>Reproducibility</topic><topic>Science & Technology</topic><topic>Sensors</topic><topic>Side effects</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Yan</creatorcontrib><creatorcontrib>Chen, Huacai</creatorcontrib><creatorcontrib>Jiang, Li</creatorcontrib><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</collection><collection>Web of Science - Science Citation Index Expanded - 2021</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>Materials Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Analyst (London)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Yan</au><au>Chen, Huacai</au><au>Jiang, Li</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A highly reproducible SERS sensor based on an Au nanoparticles/graphene oxide hybrid nanocomposite for label-free quantitative detection of antibiotics</atitle><jtitle>Analyst (London)</jtitle><stitle>ANALYST</stitle><date>2021-09-13</date><risdate>2021</risdate><volume>146</volume><issue>18</issue><spage>574</spage><epage>5746</epage><pages>574-5746</pages><issn>0003-2654</issn><eissn>1364-5528</eissn><abstract>Ampicillin and nitrofurantoin, as broad-spectrum antibiotics, are widely used in the prevention of animal diseases and to ensure livestock growth. Large amounts of antibiotic residues exist in animal-derived foods, affecting food quality and safety, causing adverse side effects, such as allergic and toxic reactions, and increasing bacterial resistance. A sensitive surface enhanced Raman scattering (SERS) sensor is provided to detect low-concentration antibiotics (ampicillin and nitrofurantoin). The sensor is based on an Au nanoparticles/graphene oxide hybrid nanocomposite prepared by an
in situ
reduction method. The detection limits of ampicillin and nitrofurantoin are as low as 0.01 ng mL
−1
and 5 ng mL
−1
, respectively. The relative spectral intensity of the nitrofurantoin characteristic peak has a good linear relationship with the concentration of nitrofurantoin in the range of 500 ng mL
−1
and 5 ng mL
−1
(
R
2
= 0.99235). The structure also allows multi-sample measurement for a variety of antibiotics at the same time. The SERS sensor is easy to prepare, with high uniformity and reproducibility, and the sample does not require complex pretreatment and preparation. Sensitive and quantitative detection of antibiotics by the SERS sensor is of great interest in the fields of health care, food preparation, and environmental sampling.
Au nanoparticles/graphene oxide hybrid nanocomposites were prepared as a uniform and repeatable SERS sensor for multi-sample detection of antibiotics.</abstract><cop>CAMBRIDGE</cop><pub>Royal Soc Chemistry</pub><pmid>34515704</pmid><doi>10.1039/d1an01185e</doi><orcidid>https://orcid.org/0000-0003-2652-0699</orcidid></addata></record> |
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source | Royal Society of Chemistry Journals Archive (1841-2007); Royal Society Of Chemistry Journals 2008-; Web of Science - Science Citation Index Expanded - 2021<img src="https://exlibris-pub.s3.amazonaws.com/fromwos-v2.jpg" />; Alma/SFX Local Collection |
subjects | Ampicillin Animal health Antibiotics Chemistry Chemistry, Analytical Food Gold Graphene Livestock Nanocomposites Nanoparticles Physical Sciences Raman spectra Reproducibility Science & Technology Sensors Side effects |
title | A highly reproducible SERS sensor based on an Au nanoparticles/graphene oxide hybrid nanocomposite for label-free quantitative detection of antibiotics |
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