Jingbo Jiao, Qing Kang, Chenjing Ma, Tong Lin, Zehui Xiao, Ting Du, Nan Wang, Xinjun Du, Shuo Wang
{"title":"基于四种具有过氧化氢酶样活性的dna纳米酶的压力传感器阵列用于便携式多重检测食源性病原体","authors":"Jingbo Jiao, Qing Kang, Chenjing Ma, Tong Lin, Zehui Xiao, Ting Du, Nan Wang, Xinjun Du, Shuo Wang","doi":"10.1021/acs.jafc.4c09288","DOIUrl":null,"url":null,"abstract":"This study has developed a pressure sensor array based on four functionalized DNA-nanoenzymes with catalase-like activity for multiple detections of foodborne pathogens through a portable pressure manometer. Benefiting from functionalization of 4-mercaptophenylboronic acid and β-mercaptoethylamine, the diversity of nonspecific interactions between four DNA-nanoenzymes and each of the nine bacteria leads to differences in pressure response patterns by catalyzing H<sub>2</sub>O<sub>2</sub> to generate exclusive “fingerprints”. As effective statistical tools for processing multivariate data, principal component analysis and hierarchical clustering analysis are employed to identify nine foodborne pathogens by analyzing pressure response patterns. Furthermore, the as-prepared sensor array can discriminate different mixtures of bacteria and achieve quantitative detection, with an average detection limit of 10<sup>2</sup> and 10<sup>4</sup> CFU mL<sup>–1</sup> for Gram-positive and Gram-negative bacteria, respectively, demonstrating its desirable practicality and satisfactory accuracy for real sample detection. This study expands insights into multiple analyses of foodborne pathogens for food safety monitoring.","PeriodicalId":41,"journal":{"name":"Journal of Agricultural and Food Chemistry","volume":"419 1","pages":""},"PeriodicalIF":6.2000,"publicationDate":"2024-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Pressure Sensor Array Based on Four DNA-Nanoenzymes with Catalase-like Activity for Portable Multiple Detection of Foodborne Pathogens\",\"authors\":\"Jingbo Jiao, Qing Kang, Chenjing Ma, Tong Lin, Zehui Xiao, Ting Du, Nan Wang, Xinjun Du, Shuo Wang\",\"doi\":\"10.1021/acs.jafc.4c09288\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study has developed a pressure sensor array based on four functionalized DNA-nanoenzymes with catalase-like activity for multiple detections of foodborne pathogens through a portable pressure manometer. Benefiting from functionalization of 4-mercaptophenylboronic acid and β-mercaptoethylamine, the diversity of nonspecific interactions between four DNA-nanoenzymes and each of the nine bacteria leads to differences in pressure response patterns by catalyzing H<sub>2</sub>O<sub>2</sub> to generate exclusive “fingerprints”. As effective statistical tools for processing multivariate data, principal component analysis and hierarchical clustering analysis are employed to identify nine foodborne pathogens by analyzing pressure response patterns. Furthermore, the as-prepared sensor array can discriminate different mixtures of bacteria and achieve quantitative detection, with an average detection limit of 10<sup>2</sup> and 10<sup>4</sup> CFU mL<sup>–1</sup> for Gram-positive and Gram-negative bacteria, respectively, demonstrating its desirable practicality and satisfactory accuracy for real sample detection. This study expands insights into multiple analyses of foodborne pathogens for food safety monitoring.\",\"PeriodicalId\":41,\"journal\":{\"name\":\"Journal of Agricultural and Food Chemistry\",\"volume\":\"419 1\",\"pages\":\"\"},\"PeriodicalIF\":6.2000,\"publicationDate\":\"2024-12-30\",\"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.4c09288\",\"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.4c09288","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}
Pressure Sensor Array Based on Four DNA-Nanoenzymes with Catalase-like Activity for Portable Multiple Detection of Foodborne Pathogens
This study has developed a pressure sensor array based on four functionalized DNA-nanoenzymes with catalase-like activity for multiple detections of foodborne pathogens through a portable pressure manometer. Benefiting from functionalization of 4-mercaptophenylboronic acid and β-mercaptoethylamine, the diversity of nonspecific interactions between four DNA-nanoenzymes and each of the nine bacteria leads to differences in pressure response patterns by catalyzing H2O2 to generate exclusive “fingerprints”. As effective statistical tools for processing multivariate data, principal component analysis and hierarchical clustering analysis are employed to identify nine foodborne pathogens by analyzing pressure response patterns. Furthermore, the as-prepared sensor array can discriminate different mixtures of bacteria and achieve quantitative detection, with an average detection limit of 102 and 104 CFU mL–1 for Gram-positive and Gram-negative bacteria, respectively, demonstrating its desirable practicality and satisfactory accuracy for real sample detection. This study expands insights into multiple analyses of foodborne pathogens for food safety monitoring.
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.