Real-time fluorescence growth curves for viable bacteria quantification in foods DOI Creative Commons
Yajing Chen, Yanlin Chen, Siying Tang

et al.

Food Chemistry X, Journal Year: 2024, Volume and Issue: 24, P. 101886 - 101886

Published: Oct. 9, 2024

Here, for the first time, we used a membrane permeable fluorescent nucleic acid stain (SYBR Green) to trace in-vivo DNA replication during bacterial binary fission. Such did not influence growth of bacteria. Nor bacteria degrade stain, enabling microplate reader monitor sensitively Hence, real-time fluorescence curve (RTFGC) method was put forward sensitive quantification viable in foods. Using E. coli O157:H7 as model, RTFGC could quantify within range 10 1 × 106 cfu/mL, with linear correlation coefficient R2 0.997. It found that melting unique particular strain, which be contamination identifications. Good practicability quantifying from tap water, juices, and milks demonstrated.

Language: Английский

Biotinylation-based lateral flow assays for pathogenic and total bacteria detection DOI
Yongqiang Cao, Yanlin Chen, Xinyi Zhang

et al.

Analytica Chimica Acta, Journal Year: 2025, Volume and Issue: 1338, P. 343607 - 343607

Published: Jan. 2, 2025

Language: Английский

Citations

0
Real-time fluorescence growth curves for viable bacteria quantification in foods DOI Creative Commons
Yajing Chen, Yanlin Chen, Siying Tang

et al.

Food Chemistry X, Journal Year: 2024, Volume and Issue: 24, P. 101886 - 101886

Published: Oct. 9, 2024

Here, for the first time, we used a membrane permeable fluorescent nucleic acid stain (SYBR Green) to trace in-vivo DNA replication during bacterial binary fission. Such did not influence growth of bacteria. Nor bacteria degrade stain, enabling microplate reader monitor sensitively Hence, real-time fluorescence curve (RTFGC) method was put forward sensitive quantification viable in foods. Using E. coli O157:H7 as model, RTFGC could quantify within range 10 1 × 106 cfu/mL, with linear correlation coefficient R2 0.997. It found that melting unique particular strain, which be contamination identifications. Good practicability quantifying from tap water, juices, and milks demonstrated.

Language: Английский

Citations

1