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non-linear fitting module nlinfit  (MathWorks Inc)


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    MathWorks Inc non-linear fitting module nlinfit
    Non Linear Fitting Module Nlinfit, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/non-linear+fitting+module+nlinfit/pm40120393-195-8-12
    Average 90 stars, based on 1 article reviews
    non-linear fitting module nlinfit - by Bioz Stars, 2026-09
    90/100 stars

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    Article Title: Modeling of Growth and Organic Acid Kinetics and Evolution of the Protein Profile and Amino Acid Content during Lactiplantibacillus plantarum ITM21B Fermentation in Liquid Sourdough
    Article Snippet: The estimation of the model parameters was performed using a non-linear fitting module (NLINFIT, MATLAB R2019b, The MathWorks).

    Article Title: Behaviour of the Shiga toxin-producing Escherichia coli O157:H7 and O26:H11 in dairy products, in static and dynamic conditions for predictive model validation.
    Article Snippet: In this study, the kinetics of two Shiga-toxin-producing Escherichia coli (STEC) strains (one O157:H7 strain and one O26:H11 strain) were investigated in different dairy matrices (milk supplemented or not with NaCl, mascarpone and raw milk cheese).. Significant differences in the growth parameters of these two strains occurred in stressful conditions and in raw milk cheese.. The O157:H7 strain showed better growth abilities at aw 0.973 in milk supplemented with NaCl and at T = 8.0 and 8.8 C in mascarpone.

    Article Title: The effect of pH on the growth rate of Bacillus cereus sensu lato: Quantifying strain variability and modelling the combined effects of temperature and pH.
    Article Snippet: In this study, the effect of pH, alone or in combination with temperature, on the maximum growth rate (μmax) of B. cereus sensu lato was investigated.. In phase 1, the effect of pH at 30 C was studied for 16 mesophilic strains and 2 psychrotrophic strains of Bacillus cereus sensu lato.. The μmax vs. pH relationship was found to show a similar pattern for all the strains.

    Article Title: A stochastic approach for modelling the effects of temperature on the growth rate of Bacillus cereus sensu lato.
    Article Snippet: A stochastic model that predicts the maximum specific growth rate (μmax) of Bacillus cereus sensu lato as a function of temperature was developed.. The model integrates the intra-species variability by incorporating distributions of cardinal parameters (Tmin, Topt, Tmax) in the model. Growth rate data were generated for 22 strains, covering 5 major phylogenetic groups of B. cereus, and their cardinal temperatures identified.. Published growth rate data were also incorporated in the model fitting, resulting in a set of 33 strains.

    Article Title: Modeling of Growth and Organic Acid Kinetics and Evolution of the Protein Profile and Amino Acid Content during Lactiplantibacillus plantarum ITM21B Fermentation in Liquid Sourdough
    Article Snippet: Secondary model fittings were performed with a non-linear fitting module (NLINFIT, MATLAB, R2019b, The MathWorks, Natick, MA, USA).



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