Literature DB >> 27260362

Quantifying Variability in Growth and Thermal Inactivation Kinetics of Lactobacillus plantarum.

D C Aryani1, H M W den Besten2, M H Zwietering3.   

Abstract

UNLABELLED: The presence and growth of spoilage organisms in food might affect the shelf life. In this study, the effects of experimental, reproduction, and strain variabilities were quantified with respect to growth and thermal inactivation using 20 Lactobacillus plantarum strains. Also, the effect of growth history on thermal resistance was quantified. The strain variability in μmax was similar (P > 0.05) to reproduction variability as a function of pH, aw, and temperature, while being around half of the reproduction variability (P < 0.05) as a function of undissociated lactic acid concentration [HLa]. The cardinal growth parameters were estimated for the L. plantarum strains, and the pHmin was between 3.2 and 3.5, the aw,min was between 0.936 and 0.953, the [HLamax], at pH 4.5, was between 29 and 38 mM, and the Tmin was between 3.4 and 8.3°C. The average D values ranged from 0.80 min to 19 min at 55°C, 0.22 to 3.9 min at 58°C, 3.1 to 45 s at 60°C, and 1.8 to 19 s at 63°C. In contrast to growth, the strain variability in thermal resistance was on average six times higher than the reproduction variability and more than ten times higher than the experimental variability. The strain variability was also 1.8 times higher (P < 0.05) than the effect of growth history. The combined effects of strain variability and growth history on D value explained all of the variability as found in the literature, although with bias. Based on an illustrative milk-processing chain, strain variability caused ∼2-log10 differences in growth between the most and least robust strains and >10-log10 differences after thermal treatment. IMPORTANCE: Accurate control and realistic prediction of shelf life is complicated by the natural diversity among microbial strains, and limited information on microbiological variability is available for spoilage microorganisms. Therefore, the objectives of the present study were to quantify strain variability, reproduction (biological) variability, and experimental variability with respect to the growth and thermal inactivation kinetics of Lactobacillus plantarum and to quantify the variability in thermal resistance attributed to growth history. The quantitative knowledge obtained on experimental, reproduction, and strain variabilities can be used to improve experimental designs and to adequately select strains for challenge growth and inactivation tests. Moreover, the integration of strain variability in prediction of microbial growth and inactivation kinetics will result in more realistic predictions of L. plantarum dynamics along the food production chain.
Copyright © 2016, American Society for Microbiology. All Rights Reserved.

Entities:  

Mesh:

Year:  2016        PMID: 27260362      PMCID: PMC4968553          DOI: 10.1128/AEM.00277-16

Source DB:  PubMed          Journal:  Appl Environ Microbiol        ISSN: 0099-2240            Impact factor:   4.792


  52 in total

1.  Comparing nonsynergistic gamma models with interaction models to predict growth of emetic Bacillus cereus when using combinations of pH and individual undissociated acids as growth-limiting factors.

Authors:  Elisabeth G Biesta-Peters; Martine W Reij; Leon G M Gorris; Marcel H Zwietering
Journal:  Appl Environ Microbiol       Date:  2010-07-16       Impact factor: 4.792

2.  Evaluation of data transformations and validation of a model for the effect of temperature on bacterial growth.

Authors:  M H Zwietering; H G Cuppers; J C de Wit; K van 't Riet
Journal:  Appl Environ Microbiol       Date:  1994-01       Impact factor: 4.792

3.  Thermal inactivation of the wine spoilage yeasts Dekkera/Brettanomyces.

Authors:  José António Couto; Filipe Neves; Francisco Campos; Tim Hogg
Journal:  Int J Food Microbiol       Date:  2005-07-05       Impact factor: 5.277

4.  A systematic approach to determine global thermal inactivation parameters for various food pathogens.

Authors:  Esther D van Asselt; Marcel H Zwietering
Journal:  Int J Food Microbiol       Date:  2005-11-07       Impact factor: 5.277

5.  Behavior of Lactobacillus plantarum and Saccharomyces cerevisiae in fresh and thermally processed orange juice.

Authors:  Duried Alwazeer; Remy Cachon; Charles Divies
Journal:  J Food Prot       Date:  2002-10       Impact factor: 2.077

6.  Evaluation of the spoilage lactic acid bacteria in modified-atmosphere-packaged artisan-type cooked ham using culture-dependent and culture-independent approaches.

Authors:  C Vasilopoulos; F Ravyts; H De Maere; E De Mey; H Paelinck; L De Vuyst; F Leroy
Journal:  J Appl Microbiol       Date:  2007-12-07       Impact factor: 3.772

7.  Inactivation of food spoilage microorganisms by hydrodynamic cavitation to achieve pasteurization and sterilization of fluid foods.

Authors:  P J Milly; R T Toledo; M A Harrison; D Armstead
Journal:  J Food Sci       Date:  2007-11       Impact factor: 3.167

8.  Modelling the effect of temperature and water activity on growth of Aspergillus niger strains and applications for food spoilage moulds.

Authors:  R Parra; N Magan
Journal:  J Appl Microbiol       Date:  2004       Impact factor: 3.772

9.  Differentiation of dairy strains of the Bacillus cereus group by phage typing, minimum growth temperature, and fatty acid analysis.

Authors:  O M Väisänen; N J Mwaisumo; M S Salkinoja-Salonen
Journal:  J Appl Bacteriol       Date:  1991-04

10.  Heat resistance of juice spoilage microorganisms.

Authors:  Adrienne E H Shearer; Alejandro S Mazzotta; Rolenda Chuyate; David E Gombas
Journal:  J Food Prot       Date:  2002-08       Impact factor: 2.077

View more
  6 in total

1.  A Predictive Growth Model for Pro-technological and Probiotic Lacticaseibacillus paracasei Strains Fermenting White Cabbage.

Authors:  Mariaelena Di Biase; Yvan Le Marc; Anna Rita Bavaro; Palmira De Bellis; Stella Lisa Lonigro; Paola Lavermicocca; Florence Postollec; Francesca Valerio
Journal:  Front Microbiol       Date:  2022-06-06       Impact factor: 6.064

2.  Modeling and Validation of the Ecological Behavior of Wild-Type Listeria monocytogenes and Stress-Resistant Variants.

Authors:  Karin I Metselaar; Tjakko Abee; Marcel H Zwietering; Heidy M W den Besten
Journal:  Appl Environ Microbiol       Date:  2016-08-15       Impact factor: 4.792

3.  Bio-protective effects of Lactobacillus plantarum subsp. plantarum against aflatoxin b1 genotoxicity on human blood lymphocytes: a native probiotic strain isolated from Iranian camel milk.

Authors:  Parvaneh Afshar; Leila Roozbeh Nasiraie; Mohammad Shokrzadeh; Azade Ghorbani HasanSaraei; Shahram Naghizadeh Raeisi
Journal:  Curr Med Mycol       Date:  2020-12

4.  Evaluation of Strain Variability in Inactivation of Campylobacter jejuni in Simulated Gastric Fluid by Using Hierarchical Bayesian Modeling.

Authors:  Kento Koyama; Jukka Ranta; Kohei Takeoka; Hiroki Abe; Shige Koseki
Journal:  Appl Environ Microbiol       Date:  2021-07-13       Impact factor: 4.792

5.  A quantitative study on growth variability and production of ochratoxin A and its derivatives by A. carbonarius and A. niger in grape-based medium.

Authors:  Luísa Freire; Tatiane M Guerreiro; Arthur K R Pia; Estela O Lima; Diogo N Oliveira; Carlos F O R Melo; Rodrigo R Catharino; Anderson S Sant'Ana
Journal:  Sci Rep       Date:  2018-10-01       Impact factor: 4.379

6.  A Bayesian non-parametric mixed-effects model of microbial growth curves.

Authors:  Peter D Tonner; Cynthia L Darnell; Francesca M L Bushell; Peter A Lund; Amy K Schmid; Scott C Schmidler
Journal:  PLoS Comput Biol       Date:  2020-10-26       Impact factor: 4.475

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.