主成分分析
食品科学
细菌
检出限
食品微生物学
生物
生物系统
化学
计算生物学
色谱法
计算机科学
遗传学
人工智能
作者
Jingbo Jiao,Qing Kang,Chenjing Ma,Tong Lin,Zehui Xiao,Ting Du,Nan Wang,Xinjun Du,Shuo Wang
标识
DOI:10.1021/acs.jafc.4c09288
摘要
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.
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