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 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 <i>E. coli</i> O157:H7 as a bacteria model, the RTFGC method could quantify bacteria within the range of 10 to 1 × 10<sup>6</sup> cfu/mL, with a linear correlation coefficient R<sup>2</sup> 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 <i>E. coli</i> O157:H7 from tap water, juices, and milks was demonstrated.

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Publication Details

Journal
Food Chemistry X
Published
2024-10-09
DOI
https://doi.org/10.1016/j.fochx.2024.101886
Citations
8
Primary Topic
Advanced Chemical Sensor Technologies
Type
article
Field-Weighted Citation Impact
1.48

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article

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

Shengbin He, Yajing Chen, Yanlin Chen, Biao Tang et al.
8 citations
Food Chemistry X
Advanced Chemical Sensor Technologies
1.48
article

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

Shengbin He, Yajing Chen, Yanlin Chen, Biao Tang, Siying Tang
article en
8 citations

Abstract

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 <i>E. coli</i> O157:H7 as a bacteria model, the RTFGC method could quantify bacteria within the range of 10 to 1 × 10<sup>6</sup> cfu/mL, with a linear correlation coefficient R<sup>2</sup> 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 <i>E. coli</i> O157:H7 from tap water, juices, and milks was demonstrated.

Food Chemistry XVol. 24
Guangxi Medical University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Guangxi Province
Zero hunger
Openalex Percentile: Top 19%
Advanced Chemical Sensor Technologies
1.48
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Real-time fluorescence growth curves for viable bacteria quantification in foods — Shengbin He, Yajing Chen, et al. · Food Chemistry X (2024) | TGRS Research Map | TGRS