用数学模型预测高粱发酵微生物种群

U. Laila, R. Nurhayati, T. Utami, E. Rahayu
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引用次数: 0

摘要

该数学模型可作为预测高粱发酵过程中微生物数量的工具,无论是自发发酵还是添加乳酸菌(LAB)接种物发酵。采用Gibson修正的Gompertz模型、Zwietering修正的Gompertz模型、Baranyi-Robert模型、Fujikawa模型、Richards模型、Schnute模型预测自发发酵过程中乳酸菌(LAB)和大肠菌群的生长情况,以及添加接种物后发酵过程中LAB的生长情况。同时,在高粱发酵过程中,添加乳酸菌接种物可导致大肠菌群的死亡(失活)。采用Geeraerd模型和Gil等人修正的Gompertz模型进行失活预测。根据均方根误差(RMSE)、决定系数(R2)和曲线拟合来评价模型的准确性和精密度。在预测自发发酵过程中LAB的生长和大肠菌群的生长时,Gibson修正的Gompertz模型的准确性和精密度最高,其次是Fujikawa模型和Baranyi-Robert模型。同时,在添加接种量预测发酵过程中乳酸菌生长时,Richards和Schnute模型具有较高的准确性和精密度。在预测大肠菌群失活方面,与Gil等人修正的Gompertz模型相比,Geeraerd模型具有更高的准确性和精密度。关键词:发酵;培养液;数学;模型;高粱;自发的
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prediction of Microbial Population in Sorghum Fermentation through Mathematical Models
The mathematical models can be used as a tool in predicting microbial population in sorghum fermentation, either spontaneous fermentation or fermentation with the addition of lactic acid bacteria (LAB) inoculum. Gompertz model modified by Gibson, Gompertz model modified by Zwietering, Baranyi-Robert model, Fujikawa model, Richards model, Schnute model were used in predicting the growth of lactic acid bacteria (LAB) and coliform bacteria during spontaneous fermentation, and also the growth of LAB during fermentation with the addition of inoculum. Meanwhile, there was death (inactivation) of coliform bacteria during sorghum fermentation with the addition of LAB inoculum. The Geeraerd model and the Gompertz model modified by Gil et al. were used to predict the inactivation. The accuracy and precision of models were evaluated based on the Root Mean of Sum Square Error (RMSE), coefficient of determination (R2), and curve fitting. Gompertz model modified by Gibson had the highest accuracy and precision, which was followed by the accuracy of the Fujikawa model and Baranyi-Robert model in predicting the growth of LAB and the growth of coliform bacteria during spontaneous fermentation. Meanwhile, in predicting LAB growth during fermentation with the addition of inoculum, high accuracy and precision was obtained from Richards and Schnute models. In predicting the inactivation of coliform bacteria, Geeraerd model provided higher accuracy and precision compared to Gompertz model modified by Gil et al. Keywords: fermentation; inoculum; mathematical; model; sorghum; spontaneous
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