کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8842507 | 1615773 | 2018 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Rapid detection of food-borne Salmonella contamination using IMBs-qPCR method based on pagC gene
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کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری
ایمنی شناسی و میکروب شناسی
میکروبیولوژی و بیوتکنولوژی کاربردی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Rapid detection of food-borne Salmonella contamination using IMBs-qPCR method based on pagC gene Rapid detection of food-borne Salmonella contamination using IMBs-qPCR method based on pagC gene](/preview/png/8842507.png)
چکیده انگلیسی
Detection of Salmonella is very important to minimize the food safety risk. In this study, the recombinant PagC protein and PagC antibody were prepared and coupled with immunomagnetic beads (IMBs) to capture Salmonella cells from pork and milk samples. And then the SYBR Green qualitative PCR was developed to detect the pathogenic Salmonella. The results showed that the PagC polyclonal antiserum is of good specificity and the capture rate of 0.1Â mg IMBs for Salmonella tended to be stable at the range of 70-74% corresponding to the concentrations between 101 and 104Â CFU/mL. The method developed demonstrated high specificity for the positive Salmonella samples when compared to non-specific DNA samples, such as Escherichia coli, Staphylococcus aureus, Yersinia enterocolitica, and Yersinia pseudotuberculosis. The limit of detection of this assay was 18Â CFU/mL. Detection and quantitative enumeration of Salmonella in samples of pork or milk shows good recoveries of 54.34% and 52.07%. In conclusion, the polyclonal antibody of recombinant PagC protein is effective to capture Salmonella from detected samples. The developed pagC antibody IMBs-qPCR method showed efficiency, sensitivity and specificity for 30 Salmonella detection, enabling detection within 10Â h, which is a promising rapid method to detect Salmonella in emergency.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Brazilian Journal of Microbiology - Volume 49, Issue 2, AprilâJune 2018, Pages 320-328
Journal: Brazilian Journal of Microbiology - Volume 49, Issue 2, AprilâJune 2018, Pages 320-328
نویسندگان
Jiashun Wang, Yi Li, Jia Chen, Deping Hua, Yi Li, Hui Deng, Ying Li, Zhixuan Liang, Jinhai Huang,