Yang Zhang, Chuping Zhao, Zhiming Guo, Tianxi Yang, Xinai Zhang, Xiaowei Huang, Jiyong Shi, Shipeng Gao, Xiaobo Zou
{"title":"基于免疫磁性分离和标记表面增强拉曼散射的大肠埃希氏菌 O157:H7 超灵敏分析,将假阳性识别率降至最低","authors":"Yang Zhang, Chuping Zhao, Zhiming Guo, Tianxi Yang, Xinai Zhang, Xiaowei Huang, Jiyong Shi, Shipeng Gao, Xiaobo Zou","doi":"10.1021/acs.jafc.4c06311","DOIUrl":null,"url":null,"abstract":"It is a big challenge to monitor pathogens in food with high selectivity. In this study, we reported an ultrasensitive method for <i>Escherichia coli</i> O157:H7 detection based on immunomagnetic separation and labeled surface-enhanced Raman scattering (SERS). The bacterium was identified by heterogeneous recognition elements, monoclonal antibody (mAb), and aptamer. <i>E. coli</i> O157:H7 was separated and enriched by magnetic nanoparticles modified by mAb, and then a plasmonic nanostructure functionalized by aptamers with embedded Raman tags and interior gaps was utilized for further discrimination and detection. The selectivity was enhanced by two binding sites. The higher Raman enhancement was obtained by strong local electromagnetic field oscillation in the gap and the firm embedment of 4-mercaptopyridine (4-Mpy). Optimum experiments created that SERS signals of 4-Mpy at 1010 cm<sup>–1</sup> had a good linearity with <i>E. coli</i> O157:H7 at a large range of 10 to 10<sup>7</sup> CFU/mL with a limit of detection of 2 CFU/mL. This method has great potential for on-site food pathogenic bacterial detection.","PeriodicalId":41,"journal":{"name":"Journal of Agricultural and Food Chemistry","volume":null,"pages":null},"PeriodicalIF":5.7000,"publicationDate":"2024-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Ultrasensitive Analysis of Escherichia coli O157:H7 Based on Immunomagnetic Separation and Labeled Surface-Enhanced Raman Scattering with Minimized False Positive Identifications\",\"authors\":\"Yang Zhang, Chuping Zhao, Zhiming Guo, Tianxi Yang, Xinai Zhang, Xiaowei Huang, Jiyong Shi, Shipeng Gao, Xiaobo Zou\",\"doi\":\"10.1021/acs.jafc.4c06311\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"It is a big challenge to monitor pathogens in food with high selectivity. In this study, we reported an ultrasensitive method for <i>Escherichia coli</i> O157:H7 detection based on immunomagnetic separation and labeled surface-enhanced Raman scattering (SERS). The bacterium was identified by heterogeneous recognition elements, monoclonal antibody (mAb), and aptamer. <i>E. coli</i> O157:H7 was separated and enriched by magnetic nanoparticles modified by mAb, and then a plasmonic nanostructure functionalized by aptamers with embedded Raman tags and interior gaps was utilized for further discrimination and detection. The selectivity was enhanced by two binding sites. The higher Raman enhancement was obtained by strong local electromagnetic field oscillation in the gap and the firm embedment of 4-mercaptopyridine (4-Mpy). Optimum experiments created that SERS signals of 4-Mpy at 1010 cm<sup>–1</sup> had a good linearity with <i>E. coli</i> O157:H7 at a large range of 10 to 10<sup>7</sup> CFU/mL with a limit of detection of 2 CFU/mL. This method has great potential for on-site food pathogenic bacterial detection.\",\"PeriodicalId\":41,\"journal\":{\"name\":\"Journal of Agricultural and Food Chemistry\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":5.7000,\"publicationDate\":\"2024-09-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Agricultural and Food Chemistry\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://doi.org/10.1021/acs.jafc.4c06311\",\"RegionNum\":1,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"AGRICULTURE, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Agricultural and Food Chemistry","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1021/acs.jafc.4c06311","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRICULTURE, MULTIDISCIPLINARY","Score":null,"Total":0}
Ultrasensitive Analysis of Escherichia coli O157:H7 Based on Immunomagnetic Separation and Labeled Surface-Enhanced Raman Scattering with Minimized False Positive Identifications
It is a big challenge to monitor pathogens in food with high selectivity. In this study, we reported an ultrasensitive method for Escherichia coli O157:H7 detection based on immunomagnetic separation and labeled surface-enhanced Raman scattering (SERS). The bacterium was identified by heterogeneous recognition elements, monoclonal antibody (mAb), and aptamer. E. coli O157:H7 was separated and enriched by magnetic nanoparticles modified by mAb, and then a plasmonic nanostructure functionalized by aptamers with embedded Raman tags and interior gaps was utilized for further discrimination and detection. The selectivity was enhanced by two binding sites. The higher Raman enhancement was obtained by strong local electromagnetic field oscillation in the gap and the firm embedment of 4-mercaptopyridine (4-Mpy). Optimum experiments created that SERS signals of 4-Mpy at 1010 cm–1 had a good linearity with E. coli O157:H7 at a large range of 10 to 107 CFU/mL with a limit of detection of 2 CFU/mL. This method has great potential for on-site food pathogenic bacterial detection.
期刊介绍:
The Journal of Agricultural and Food Chemistry publishes high-quality, cutting edge original research representing complete studies and research advances dealing with the chemistry and biochemistry of agriculture and food. The Journal also encourages papers with chemistry and/or biochemistry as a major component combined with biological/sensory/nutritional/toxicological evaluation related to agriculture and/or food.