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A novel image-based method for simultaneous counting of Lactobacillus and Saccharomyces in mixed culture fermentation

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Název: A novel image-based method for simultaneous counting of Lactobacillus and Saccharomyces in mixed culture fermentation
Autoři: Cecelia Williamson, Kevin Kennedy, Sayak Bhattacharya, Samir Patel, Jennifer Perry, Jason Bolton, Lewis Brian Perkins, Leo Li-Ying Chan
Zdroj: J Ind Microbiol Biotechnol
Informace o vydavateli: Oxford University Press (OUP), 2023.
Rok vydání: 2023
Témata: 2. Zero hunger, Lactobacillus, Saccharomyces, Bacteria, Fermentation, Food Microbiology, Saccharomyces cerevisiae, Bread, Biotechnology Methods
Popis: Mixed microorganism cultures are prevalent in the food industry. A variety of microbiological mixtures have been used in these unique fermenting processes to create distinctive flavor profiles and potential health benefits. Mixed cultures are typically not well characterized, which may be due to the lack of simple measurement tools. Image-based cytometry systems have been employed to automatically count bacteria or yeast cells. In this work, we aim to develop a novel image cytometry method to distinguish and enumerate mixed cultures of yeast and bacteria in beer products. Cellometer X2 from Nexcelom was used to count of Lactobacillus plantarum and Saccharomyces cerevisiae in mixed cultures using fluorescent dyes and size exclusion image analysis algorithm. Three experiments were performed for validation. (1) Yeast and bacteria monoculture titration, (2) mixed culture with various ratios, and (3) monitoring a Berliner Weisse mixed culture fermentation. All experiments were validated by comparing to manual counting of yeast and bacteria colony formation. They were highly comparable with ANOVA analysis showing p-value > 0.05. Overall, the novel image cytometry method was able to distinguish and count mixed cultures consistently and accurately, which may provide better characterization of mixed culture brewing applications and produce higher quality products.
Druh dokumentu: Article
Other literature type
Jazyk: English
ISSN: 1476-5535
1367-5435
DOI: 10.1093/jimb/kuad007
Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/36948609
Rights: CC BY
URL: http://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
Přístupové číslo: edsair.doi.dedup.....f1d156754f80c67ae9c5dcbf669e2c69
Databáze: OpenAIRE
Popis
Abstrakt:Mixed microorganism cultures are prevalent in the food industry. A variety of microbiological mixtures have been used in these unique fermenting processes to create distinctive flavor profiles and potential health benefits. Mixed cultures are typically not well characterized, which may be due to the lack of simple measurement tools. Image-based cytometry systems have been employed to automatically count bacteria or yeast cells. In this work, we aim to develop a novel image cytometry method to distinguish and enumerate mixed cultures of yeast and bacteria in beer products. Cellometer X2 from Nexcelom was used to count of Lactobacillus plantarum and Saccharomyces cerevisiae in mixed cultures using fluorescent dyes and size exclusion image analysis algorithm. Three experiments were performed for validation. (1) Yeast and bacteria monoculture titration, (2) mixed culture with various ratios, and (3) monitoring a Berliner Weisse mixed culture fermentation. All experiments were validated by comparing to manual counting of yeast and bacteria colony formation. They were highly comparable with ANOVA analysis showing p-value > 0.05. Overall, the novel image cytometry method was able to distinguish and count mixed cultures consistently and accurately, which may provide better characterization of mixed culture brewing applications and produce higher quality products.
ISSN:14765535
13675435
DOI:10.1093/jimb/kuad007