Real-time fluorescence growth curves for viable bacteria quantification in foods

Here, for the first time, we used a membrane permeable fluorescent nucleic acid stain (SYBR Green) to trace the in-vivo DNA replication during bacterial binary fission. Such stain did not influence the growth of bacteria. Nor did the bacteria degrade the stain, enabling the fluorescent microplate re...

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Main Authors: Yajing Chen, Yanlin Chen, Siying Tang, Biao Tang, Shengbin He
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Food Chemistry: X
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Online Access:http://www.sciencedirect.com/science/article/pii/S2590157524007740
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author Yajing Chen
Yanlin Chen
Siying Tang
Biao Tang
Shengbin He
author_facet Yajing Chen
Yanlin Chen
Siying Tang
Biao Tang
Shengbin He
author_sort Yajing Chen
collection DOAJ
description Here, for the first time, we used a membrane permeable fluorescent nucleic acid stain (SYBR Green) to trace the in-vivo DNA replication during bacterial binary fission. Such stain did not influence the growth of bacteria. Nor did the bacteria degrade the stain, enabling the fluorescent microplate reader to monitor sensitively the growth of the bacteria. Hence, a real-time fluorescence growth curve (RTFGC) method was put forward for the sensitive quantification of viable bacteria in foods. Using E. coli O157:H7 as a bacteria model, the RTFGC method could quantify bacteria within the range of 10 to 1 × 106 cfu/mL, with a linear correlation coefficient R2 of 0.997. It was found that melting curve was unique for a particular bacterial strain, which could be used for contamination identifications. Good practicability of the RTFGC in quantifying E. coli O157:H7 from tap water, juices, and milks was demonstrated.
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institution Kabale University
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publishDate 2024-12-01
publisher Elsevier
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series Food Chemistry: X
spelling doaj-art-ba761a7227c04d5fb857b8d8c6c79c3b2024-12-13T11:01:40ZengElsevierFood Chemistry: X2590-15752024-12-0124101886Real-time fluorescence growth curves for viable bacteria quantification in foodsYajing Chen0Yanlin Chen1Siying Tang2Biao Tang3Shengbin He4Key Laboratory of Longevity and Aging-related Diseases of Chinese Ministry of Education, Guangxi Colleges and Universities Key Laboratory of Biological Molecular Medicine Research, School of Basic Medical Sciences, Guangxi Medical University, Nanning, Guangxi 530021, PR ChinaKey Laboratory of Longevity and Aging-related Diseases of Chinese Ministry of Education, Guangxi Colleges and Universities Key Laboratory of Biological Molecular Medicine Research, School of Basic Medical Sciences, Guangxi Medical University, Nanning, Guangxi 530021, PR ChinaKey Laboratory of Longevity and Aging-related Diseases of Chinese Ministry of Education, Guangxi Colleges and Universities Key Laboratory of Biological Molecular Medicine Research, School of Basic Medical Sciences, Guangxi Medical University, Nanning, Guangxi 530021, PR ChinaKey Laboratory of Longevity and Aging-related Diseases of Chinese Ministry of Education, Guangxi Colleges and Universities Key Laboratory of Biological Molecular Medicine Research, School of Basic Medical Sciences, Guangxi Medical University, Nanning, Guangxi 530021, PR ChinaCorresponding author.; Key Laboratory of Longevity and Aging-related Diseases of Chinese Ministry of Education, Guangxi Colleges and Universities Key Laboratory of Biological Molecular Medicine Research, School of Basic Medical Sciences, Guangxi Medical University, Nanning, Guangxi 530021, PR ChinaHere, for the first time, we used a membrane permeable fluorescent nucleic acid stain (SYBR Green) to trace the in-vivo DNA replication during bacterial binary fission. Such stain did not influence the growth of bacteria. Nor did the bacteria degrade the stain, enabling the fluorescent microplate reader to monitor sensitively the growth of the bacteria. Hence, a real-time fluorescence growth curve (RTFGC) method was put forward for the sensitive quantification of viable bacteria in foods. Using E. coli O157:H7 as a bacteria model, the RTFGC method could quantify bacteria within the range of 10 to 1 × 106 cfu/mL, with a linear correlation coefficient R2 of 0.997. It was found that melting curve was unique for a particular bacterial strain, which could be used for contamination identifications. Good practicability of the RTFGC in quantifying E. coli O157:H7 from tap water, juices, and milks was demonstrated.http://www.sciencedirect.com/science/article/pii/S2590157524007740Bacterial quantificationFood safety controlSYBR greenReal-timeFluorescence growth curve
spellingShingle Yajing Chen
Yanlin Chen
Siying Tang
Biao Tang
Shengbin He
Real-time fluorescence growth curves for viable bacteria quantification in foods
Food Chemistry: X
Bacterial quantification
Food safety control
SYBR green
Real-time
Fluorescence growth curve
title Real-time fluorescence growth curves for viable bacteria quantification in foods
title_full Real-time fluorescence growth curves for viable bacteria quantification in foods
title_fullStr Real-time fluorescence growth curves for viable bacteria quantification in foods
title_full_unstemmed Real-time fluorescence growth curves for viable bacteria quantification in foods
title_short Real-time fluorescence growth curves for viable bacteria quantification in foods
title_sort real time fluorescence growth curves for viable bacteria quantification in foods
topic Bacterial quantification
Food safety control
SYBR green
Real-time
Fluorescence growth curve
url http://www.sciencedirect.com/science/article/pii/S2590157524007740
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AT siyingtang realtimefluorescencegrowthcurvesforviablebacteriaquantificationinfoods
AT biaotang realtimefluorescencegrowthcurvesforviablebacteriaquantificationinfoods
AT shengbinhe realtimefluorescencegrowthcurvesforviablebacteriaquantificationinfoods