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Rapid detection of Salmonella enterica in food samples by a novel approach with combination of sample concentration and direct PCR

Authors :
Aaydha C. Vinayaka
Mohammad-Ali Shahbazi
Anders Wolff
Tien Anh Ngo
Vivek Priy Dave
Pia Engelsmann
Dang Duong Bang
Krishna Kant
Source :
Biosensors and Bioelectronics, Chidambara, V A, Ngo Anh, T, Kant, K, Engelsmann, P, Dave, V P, Shahbazi, M-A, Wolff, A & Bang, D D 2019, ' Rapid detection of Salmonella enterica in food samples by a novel approach with combination of sample concentration and direct PCR ', Biosensors and Bioelectronics, vol. 129, pp. 224-230 . https://doi.org/10.1016/j.bios.2018.09.078
Publication Year :
2019

Abstract

Foodborne salmonellosis remains a major economic burden worldwide and particularly for food industries. The diverse and complexity of food matrices pose great challenges for rapid and ultra-sensitive detection of Salmonella in food samples. In this study, combination of pathogen pre-concentration with rapid molecular identification is presented to overcome these challenges. This combination enabled effective real-time PCR detection of low levels of Salmonella enterica serovar Typhimurium without culture enrichment. Anti-salmonella antibody, immobilized on protein AG-magnetic beads, could efficiently concentrate Salmonella Typhimurium with a capturing efficiency of 95%. In the direct PCR, a strong linear relationship between bacteria concentration and the number of cycles was observed with a relative PCR efficiency of ∼92% resulting in a limit of detection (LoD) of ∼2 CFU/mL. Analysis of spiked food samples that include vegetable salad, egg yolk, egg white, whole egg and minced pork meat has validated the precision of the method. A relative accuracy of 98.3% with a sensitivity of 91.6% and specificity of 100% was achieved in the Salmonella spiked food samples. The use of a Phusion hot start DNA polymerase with a high tolerance to possible PCR inhibitors allowed the integration of direct PCR, and thereby reducing the duration of analysis to less than 3 h. The Cohen's kappa index showed excellent agreement (0.88) signifying the capability of this method to overcome the food matrix effects in rapid and ultra-sensitive detection of Salmonella in food. This approach may lay a future platform for the integration into a Lab-on-a-chip system for online monitoring of foodborne pathogens.

Details

ISSN :
09565663
Database :
OpenAIRE
Journal :
Biosensors and Bioelectronics
Accession number :
edsair.doi.dedup.....be24fd2cc24029cdf2b4b7654eba790d
Full Text :
https://doi.org/10.1016/j.bios.2018.09.078