Please use this identifier to cite or link to this item: https://ir.swu.ac.th/jspui/handle/123456789/11887
Title: Colorimetric aptasensor for detecting Salmonella spp., Listeria monocytogenes, and Escherichia coli in meat samples
Authors: Ledlod S.
Areekit S.
Santiwatanakul S.
Chansiri K.
Keywords: Color
Colorimetry
Diseases
Escherichia coli
Fiber optic sensors
Ligands
Listeria
Meats
Metal nanoparticles
Salmonella
aptasensor
Listeria monocytogenes
Multiplex detections
Salmonellaspp
Systematic evolution of ligands by exponential enrichments
Gold nanoparticles
Issue Date: 2020
Abstract: In this study, we successfully developed a simple and rapid method for simultaneous detection of Salmonella spp., Listeria monocytogenes, and Escherichia coli using gold nanoparticles and the aptamer aptasensor. We screened 25 specific DNA aptamer candidates against these pathogens using whole-cell Systematic Evolution of Ligands by EXponential enrichment. Among them, Ap6 was selected due to its low energy minimization values of −12.25 and −27.67 kcal/mol derived from MFold and RNAFold analysis, respectively. The assay presented in this study allowed the visual colorimetric detection of labeled colloidal gold nanoparticles as well as determination of UV absorbance at 625 and 525 nm under optimized conditions. The detection limit of this aptasensor was as less as 105 CFU/ml. A random investigation of 50 meat samples, including ham and chicken sausages, collected from the local market revealed 96% accuracy, 96% specificity, and 100% sensitivity of the assay. The colorimetric aptasensor can accomplish one-step detection without pre-culture, DNA extraction, and amplification. Hence, it is an easy, rapid, specific, and qualitative assay that can be used as a point-of-care testing to directly detect multiplex foodborne pathogens. © The Author(s) 2020.
URI: https://ir.swu.ac.th/jspui/handle/123456789/11887
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85078242494&doi=10.1177%2f1082013219899593&partnerID=40&md5=71ce33bb0d087458531935e8d856a53f
ISSN: 10820132
Appears in Collections:Scopus 1983-2021

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