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Paper-based PCR method development, validation and application for microbial detection

Authors :
Anjali Apte-Deshpande
B. E. Rangaswamy
Amruta Patil-Joshi
Source :
Journal of Genetic Engineering and Biotechnology, Vol 19, Iss 1, Pp 1-10 (2021), Journal of Genetic Engineering & Biotechnology
Publication Year :
2021
Publisher :
SpringerOpen, 2021.

Abstract

BackgroundThe analysis of the quality of food is important to protect humans from food-borne or food-based illnesses caused by pathogens, such as bacteria, fungi, viruses, and protozoa. Rapid identification of these pathogens is critical to ensure food safety. Various detection and identification strategies exist; however, they are laborious and time consuming and hence the detection takes longer time. The aim of this study was to develop the specific and fast method for the detection of contaminants in milk.ResultsIn this study, we have developed a simple paper-based PCR method with minimum sample preparation process. The 16S rDNA universal primers were used for the detection of bacterial contaminants. LacZ primers were used for coliform detection which causes serious illness and hence their detection is crucial. ITS region primers were used for fungal detection. The most unique thing about this study is use of Whatman paper no. 1 as sample carrier material. We developed and validated the paper-based PCR method and used it for the detection of microbes and coliforms using milk as a representative sample.ConclusionWe evaluated this method for its suitability in the detection of contaminant microbes using different milk samples. The paper-based method could successfully detect contaminants in the milk samples and the results were comparable to the traditional microbial detection method. The traditional microbiological method takes at least 18–20 h for detecting the presence of microbes in any sample but the developed paper-based PCR method can confirm the microbial presence in 2–3 h. This is very promising especially in the testing where sample sterility is crucial.

Details

Language :
English
ISSN :
20905920
Volume :
19
Issue :
1
Database :
OpenAIRE
Journal :
Journal of Genetic Engineering and Biotechnology
Accession number :
edsair.doi.dedup.....2dacbc34dd5de90f4c534c91474adc77