Rapid, simple, low-cost smartphone-based fluorescence detection of Escherichia coli
作者机构:Family and Consumer Science DepartmentNew Mexico State UniversityLas CrucesNM 883003USA Biology DepartmentUniversity of PennsylvaniaPhiladelphiaPA 19104USA Electronics&Computer Engineering TechnologyNew Mexico State UniversityLas CrucesNM 88003USA Biology DepartmentNew Mexico State UniversityLas CrucesNM 88003USA Industrial Engineering DepartmentNew Mexico State UniversityLas CrucesNM 88003USA Mechanical Engineering DepartmentNew Mexico State UniversityLas CrucesNM 88003USA
出 版 物:《International Journal of Agricultural and Biological Engineering》 (国际农业与生物工程学报(英文))
年 卷 期:2021年第14卷第3期
页 面:189-193页
核心收录:
学科分类:081704[工学-应用化学] 07[理学] 08[工学] 0817[工学-化学工程与技术] 070303[理学-有机化学] 0703[理学-化学]
基 金:This work was supported in part by WorkFoS-Ag Program(Grant No.2021-67037-34163) the ALFA-IoT Program(Grant No.2018-38422-28564)from the USDA National Institute of Food and Agriculture
主 题:smartphone fluorescence E.coli low-cost 3D-print
摘 要:Food and waterborne diseases pose considerable public health threats even in highly industrialized parts of the *** of these pathogens in food can be Escherichia coli O157:H7,Salmonella sp.,and Listeria ***,reliable detection of pathogens mitigates serious health problems and economic losses due to outbreaks and robust tests safeguard the food *** this study,a smartphone-based apparatus was employed to demonstrate quantitative detection of *** validate the applicability of the present smartphone-based fluorescence device,RNA was extracted from the *** K-12 strain and amplified using two different primers(dnaK and rpoA)via quantitative polymerase chain reaction(qPCR).Serial dilutions of RNA from 10 to 0.0001 ng/μL were prepared at the start of the PCR amplification and the PCR products were detected by CYBR Green1-based *** a proof-of-concept test for the smartphone system,samples from these PCR products were then *** detection system employed a novel algorithm to analyze fluorescence signals and read changes in *** DNA *** correlations between the fluorescence percentage and DNA concentrations were R=0.945 for the dnaK primer and R=0.893 for the rpoA primer,*** this new fluorescent analysis technique resulted in comparable accuracy to the real-time PCR fluorescent signal *** key innovation of this approach was to combine efficient image processing encoded into a smartphone application with a low-cost 3-D printed device that allowed quantification of bacterial nucleic acid.