Zhang Yuhang, Bai Xiaolin, Chen Wenwei, Fan Yizhou, Tang Yulong, Huang Guangrong
{"title":"利用基于 Au@Ag NPs 拉曼增强基底的灵敏传感器检测鸡蛋中的氟虫腈","authors":"Zhang Yuhang, Bai Xiaolin, Chen Wenwei, Fan Yizhou, Tang Yulong, Huang Guangrong","doi":"10.1007/s11694-024-02922-y","DOIUrl":null,"url":null,"abstract":"<div><p>Fipronil, a phenylpyrazole insecticide, is widely used but raises concerns regarding potential human health risks. This study introduces an aptasensor that utilizes Au@Ag nanoparticles (NPs) as a Raman-enhanced substrate for detecting fipronil residues in eggs. In this system, 4-mercaptobenzoic acid (4-MBA) serves as the Raman signaling molecule, anchored to Au@Ag NPs via Ag-S bonds. The presence of an aptamer initially reduces the 4-MBA Raman signal, which is subsequently restored to varying extents when different concentrations of fipronil are introduced. Thus, fipronil is indirectly quantified by measuring the intensity of the 4-MBA Raman signal. Under optimized conditions, the sensor demonstrates a linear detection range for fipronil between 50 and 400 nM with a coefficient of determination (R<sup>2</sup>) of 0.9968, and a detection limit of 15.68 nM. It also exhibits excellent selectivity and sensitivity towards fipronil. Furthermore, recovery rates for fipronil detection in egg samples ranged from 90 to 100%, with a relative standard deviation (RSD) below 5%, underscoring the method’s strong potential for practical applications.</p></div>","PeriodicalId":631,"journal":{"name":"Journal of Food Measurement and Characterization","volume":"18 12","pages":"9846 - 9855"},"PeriodicalIF":2.9000,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Detection of fipronil in eggs by an aptasensor based on the Au@Ag NPs Raman enhanced substrate\",\"authors\":\"Zhang Yuhang, Bai Xiaolin, Chen Wenwei, Fan Yizhou, Tang Yulong, Huang Guangrong\",\"doi\":\"10.1007/s11694-024-02922-y\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Fipronil, a phenylpyrazole insecticide, is widely used but raises concerns regarding potential human health risks. This study introduces an aptasensor that utilizes Au@Ag nanoparticles (NPs) as a Raman-enhanced substrate for detecting fipronil residues in eggs. In this system, 4-mercaptobenzoic acid (4-MBA) serves as the Raman signaling molecule, anchored to Au@Ag NPs via Ag-S bonds. The presence of an aptamer initially reduces the 4-MBA Raman signal, which is subsequently restored to varying extents when different concentrations of fipronil are introduced. Thus, fipronil is indirectly quantified by measuring the intensity of the 4-MBA Raman signal. Under optimized conditions, the sensor demonstrates a linear detection range for fipronil between 50 and 400 nM with a coefficient of determination (R<sup>2</sup>) of 0.9968, and a detection limit of 15.68 nM. It also exhibits excellent selectivity and sensitivity towards fipronil. Furthermore, recovery rates for fipronil detection in egg samples ranged from 90 to 100%, with a relative standard deviation (RSD) below 5%, underscoring the method’s strong potential for practical applications.</p></div>\",\"PeriodicalId\":631,\"journal\":{\"name\":\"Journal of Food Measurement and Characterization\",\"volume\":\"18 12\",\"pages\":\"9846 - 9855\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2024-10-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Food Measurement and Characterization\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s11694-024-02922-y\",\"RegionNum\":3,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"FOOD SCIENCE & TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Food Measurement and Characterization","FirstCategoryId":"97","ListUrlMain":"https://link.springer.com/article/10.1007/s11694-024-02922-y","RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"FOOD SCIENCE & TECHNOLOGY","Score":null,"Total":0}
Detection of fipronil in eggs by an aptasensor based on the Au@Ag NPs Raman enhanced substrate
Fipronil, a phenylpyrazole insecticide, is widely used but raises concerns regarding potential human health risks. This study introduces an aptasensor that utilizes Au@Ag nanoparticles (NPs) as a Raman-enhanced substrate for detecting fipronil residues in eggs. In this system, 4-mercaptobenzoic acid (4-MBA) serves as the Raman signaling molecule, anchored to Au@Ag NPs via Ag-S bonds. The presence of an aptamer initially reduces the 4-MBA Raman signal, which is subsequently restored to varying extents when different concentrations of fipronil are introduced. Thus, fipronil is indirectly quantified by measuring the intensity of the 4-MBA Raman signal. Under optimized conditions, the sensor demonstrates a linear detection range for fipronil between 50 and 400 nM with a coefficient of determination (R2) of 0.9968, and a detection limit of 15.68 nM. It also exhibits excellent selectivity and sensitivity towards fipronil. Furthermore, recovery rates for fipronil detection in egg samples ranged from 90 to 100%, with a relative standard deviation (RSD) below 5%, underscoring the method’s strong potential for practical applications.
期刊介绍:
This interdisciplinary journal publishes new measurement results, characteristic properties, differentiating patterns, measurement methods and procedures for such purposes as food process innovation, product development, quality control, and safety assurance.
The journal encompasses all topics related to food property measurement and characterization, including all types of measured properties of food and food materials, features and patterns, measurement principles and techniques, development and evaluation of technologies, novel uses and applications, and industrial implementation of systems and procedures.