Detection of soybean by real-time PCR in the samples subjected to deep technological processing

During deep technological processing, DNA of food product components (specifically, in canned foods) is subjected to strong degradation, which makes the PCR-based food components identification more difficult. In this work, a primer-probe system is proposed, which was selected for the multi-copy reg...

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Main Authors: K. A. Kurbakov, E. A. Konorov, V. N. Zhulinkova, M. Yu. Minaev
Format: Article
Language:English
Published: The V.M. Gorbatov All-Russian Meat Research  Institute 2019-12-01
Series:Теория и практика переработки мяса
Subjects:
Online Access:https://www.meatjournal.ru/jour/article/view/126
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author K. A. Kurbakov
E. A. Konorov
V. N. Zhulinkova
M. Yu. Minaev
author_facet K. A. Kurbakov
E. A. Konorov
V. N. Zhulinkova
M. Yu. Minaev
author_sort K. A. Kurbakov
collection DOAJ
description During deep technological processing, DNA of food product components (specifically, in canned foods) is subjected to strong degradation, which makes the PCR-based food components identification more difficult. In this work, a primer-probe system is proposed, which was selected for the multi-copy region of long terminal repeat (LTR) of soybean (Glycine max). We confirmed its high sensitivity and specificity for soybean detection by real-time PCR. Using the selected system, we successfully analyzed the samples of meat-and-plant canned foods and other food products subjected to deep technological processing — tofu, preserved tofu, soy sauces, confectionary products containing soy lecithin. To compare with these samples, real-time PCR was carried out using the primer-probe system selected for the single-copy le1 gene. In terms of sensitivity, the use of the primer-probe system specific to the single-copy region was significantly inferior to the primer-probe system specific to the LTR region. The difference in the rate of degradation of these genomic DNA regions of Glycine max was found.
format Article
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institution Kabale University
issn 2414-438X
2414-441X
language English
publishDate 2019-12-01
publisher The V.M. Gorbatov All-Russian Meat Research  Institute
record_format Article
series Теория и практика переработки мяса
spelling doaj-art-aa6be250c7fc4b9bb7af707af03198452025-08-20T03:59:57ZengThe V.M. Gorbatov All-Russian Meat Research  InstituteТеория и практика переработки мяса2414-438X2414-441X2019-12-0144232710.21323/2414-438X-2019-4-4-23-27105Detection of soybean by real-time PCR in the samples subjected to deep technological processingK. A. Kurbakov0E. A. Konorov1V. N. Zhulinkova2M. Yu. Minaev3V. M. Gorbatov Federal Research Center for Food Systems of Russian Academy of SciencesV. M. Gorbatov Federal Research Center for Food Systems of Russian Academy of SciencesV. M. Gorbatov Federal Research Center for Food Systems of Russian Academy of SciencesV. M. Gorbatov Federal Research Center for Food Systems of Russian Academy of SciencesDuring deep technological processing, DNA of food product components (specifically, in canned foods) is subjected to strong degradation, which makes the PCR-based food components identification more difficult. In this work, a primer-probe system is proposed, which was selected for the multi-copy region of long terminal repeat (LTR) of soybean (Glycine max). We confirmed its high sensitivity and specificity for soybean detection by real-time PCR. Using the selected system, we successfully analyzed the samples of meat-and-plant canned foods and other food products subjected to deep technological processing — tofu, preserved tofu, soy sauces, confectionary products containing soy lecithin. To compare with these samples, real-time PCR was carried out using the primer-probe system selected for the single-copy le1 gene. In terms of sensitivity, the use of the primer-probe system specific to the single-copy region was significantly inferior to the primer-probe system specific to the LTR region. The difference in the rate of degradation of these genomic DNA regions of Glycine max was found.https://www.meatjournal.ru/jour/article/view/126real-time pcrglycine maxspecies identificationfood processingdna degradation
spellingShingle K. A. Kurbakov
E. A. Konorov
V. N. Zhulinkova
M. Yu. Minaev
Detection of soybean by real-time PCR in the samples subjected to deep technological processing
Теория и практика переработки мяса
real-time pcr
glycine max
species identification
food processing
dna degradation
title Detection of soybean by real-time PCR in the samples subjected to deep technological processing
title_full Detection of soybean by real-time PCR in the samples subjected to deep technological processing
title_fullStr Detection of soybean by real-time PCR in the samples subjected to deep technological processing
title_full_unstemmed Detection of soybean by real-time PCR in the samples subjected to deep technological processing
title_short Detection of soybean by real-time PCR in the samples subjected to deep technological processing
title_sort detection of soybean by real time pcr in the samples subjected to deep technological processing
topic real-time pcr
glycine max
species identification
food processing
dna degradation
url https://www.meatjournal.ru/jour/article/view/126
work_keys_str_mv AT kakurbakov detectionofsoybeanbyrealtimepcrinthesamplessubjectedtodeeptechnologicalprocessing
AT eakonorov detectionofsoybeanbyrealtimepcrinthesamplessubjectedtodeeptechnologicalprocessing
AT vnzhulinkova detectionofsoybeanbyrealtimepcrinthesamplessubjectedtodeeptechnologicalprocessing
AT myuminaev detectionofsoybeanbyrealtimepcrinthesamplessubjectedtodeeptechnologicalprocessing