Modeling the inactivation of Lactobacillus brevis DSM 6235 and retaining the viability of brewing pitching yeast submitted to acid and chlorine washing
- PMID: 32179950
- DOI: 10.1007/s00253-020-10534-x
Modeling the inactivation of Lactobacillus brevis DSM 6235 and retaining the viability of brewing pitching yeast submitted to acid and chlorine washing
Erratum in
-
Correction to: Modeling the inactivation of Lactobacillus brevis DSM 6235 and retaining the viability of brewing pitching yeast submitted to acid and chlorine washing.Appl Microbiol Biotechnol. 2020 Jul;104(14):6427. doi: 10.1007/s00253-020-10738-1. Appl Microbiol Biotechnol. 2020. PMID: 32529375
Abstract
This study aimed to model the inactivation of Lactobacillus brevis DSM 6235 while retaining the viability of yeasts during washing brewer's yeast with phosphoric acid and chlorine dioxide. The independent variables in the acid washing were pH (1-3) and temperature (1-9 °C), whereas in the washing with chlorine dioxide, concentration (10-90 mg/L) and temperature (5-25 °C) were assessed. The predictive models obtained for the four response variables γLA, γCl (decimal reduction of L. brevis DSM 6235), Vf/V0LA, and Vf/V0Cl (brewer's yeast viability ratio) were found to have R2 > 0.80 and values of Fcalc > Freference. Then, the models were considered predictive and statistically significant (p < 0.10). Our results indicated that phosphoric acid and chlorine dioxide washing resulted in up to 7 and 6.4 (log CFU/mL) decimal reductions of L. brevis DSM 6235, respectively. On the other hand, the viability of the brewer's yeast ranged from 22.3 to 99.4%. L. brevis DSM 6235 inactivation was significantly influenced by parameters pH(Q) and T°C(Q) when phosphoric acid was applied, and by parameters mg/L(L), mg/L(Q), T°C(Q), and mg/L × T°C when ClO2 was applied. The validation of the models resulted in bias (γLA, 0.93/Vf/V0LA, 0.99 - γCl, 1.0/Vf/V0Cl, 0.99) and accuracy values (γLA, 1.12/Vf/V0LA, 1.01 - γCl, 1.08/Vf/V0Cl, 1.03). The results of this study indicate that it might be possible to decontaminate brewer's yeast through acid and chlorine dioxide washing while keeping its viability. This procedure will result in the reduction of costs and the lower generation of brewer's waste.
Keywords: Beer; Decontamination; Food spoilage; Predictive microbiology; Wort.
Similar articles
-
Inactivation kinetics of beer spoilage bacteria (Lactobacillus brevis, Lactobacillus casei, and Pediococcus damnosus) during acid washing of brewing yeast.Food Microbiol. 2020 Oct;91:103513. doi: 10.1016/j.fm.2020.103513. Epub 2020 Apr 18. Food Microbiol. 2020. PMID: 32539960
-
Survival of probiotic strain Lactobacillus paracasei L26 during co-fermentation with S. cerevisiae for the development of a novel beer beverage.Food Microbiol. 2019 Sep;82:541-550. doi: 10.1016/j.fm.2019.04.001. Epub 2019 Apr 7. Food Microbiol. 2019. PMID: 31027817
-
Peptide (Lys-Leu) and amino acids (Lys and Leu) supplementations improve physiological activity and fermentation performance of brewer's yeast during very high-gravity (VHG) wort fermentation.Biotechnol Appl Biochem. 2018 Jul;65(4):630-638. doi: 10.1002/bab.1634. Epub 2018 Jan 16. Biotechnol Appl Biochem. 2018. PMID: 29271090
-
[Advances in anti-staling brewer's yeast].Sheng Wu Gong Cheng Xue Bao. 2017 Apr 25;33(4):541-551. doi: 10.13345/j.cjb.160310. Sheng Wu Gong Cheng Xue Bao. 2017. PMID: 28920388 Review. Chinese.
-
Spent Brewer's Yeast as a Source of Insoluble β-Glucans.Int J Mol Sci. 2021 Jan 15;22(2):825. doi: 10.3390/ijms22020825. Int J Mol Sci. 2021. PMID: 33467670 Free PMC article. Review.
Cited by
-
A Binary Logistic Regression Model as a Tool to Predict Craft Beer Susceptibility to Microbial Spoilage.Foods. 2021 Aug 19;10(8):1926. doi: 10.3390/foods10081926. Foods. 2021. PMID: 34441703 Free PMC article.
-
Microbial Communities in Retail Draft Beers and the Biofilms They Produce.Microbiol Spectr. 2021 Dec 22;9(3):e0140421. doi: 10.1128/Spectrum.01404-21. Epub 2021 Dec 22. Microbiol Spectr. 2021. PMID: 34935420 Free PMC article.
References
-
- Bühligen F, Rüdinger P, Fetzer I, Stahl F, Scheper T, Harms H, Müller S (2013) Sustainability of industrial yeast serial repitching practice studied by gene expression and correlation analysis. J Biotechnol 168:718–728. https://doi.org/10.1016/j.jbiotec.2013.09.008 - DOI - PubMed
-
- Cunningham S, Stewart G (2000) Acid washing and serial repitching a brewing ale strain of Saccharomyces cerevisiae in high gravity wort and the role of Wort oxygenation conditions. J Inst Brew 106:389–402 - DOI
-
- Dziezak JD (2003) Encyclopedia of food sciences and nutrition. Encycl Food Sci Nutr:12–17. https://doi.org/10.1016/B0-12-227055-X/00005-5
-
- Finch GR, Belosevic M (2002) Controlling Giardia spp. and Cryptosporidium spp. in drinking water by microbial reduction processes. J Environ Eng Sci 1:17–31. https://doi.org/10.1139/s02-003 - DOI
-
- Gómez-López VM, Rajkovic A, Ragaert P, Smigic N, Devlieghere F (2009) Chlorine dioxide for minimally processed produce preservation: a review. Trends Food Sci Technol 20:17–26. https://doi.org/10.1016/j.tifs.2008.09.005 - DOI
MeSH terms
Substances
Grants and funding
- 0458/2013/Fundo de Apoio ao Ensino, à Pesquisa e Extensão, Universidade Estadual de Campinas
- 302763/2014-7/Conselho Nacional de Desenvolvimento Científico e Tecnológico
- 305804/2017-0/Conselho Nacional de Desenvolvimento Científico e Tecnológico
- Finance Code 001/Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
- 14/03791-1/Fundação de Amparo à Pesquisa do Estado de São Paulo