海水培养基中分离弧菌MZ生长曲线的数学建模

Maryam Zahaba, M. Halmi, A. Othman, M. Shukor
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引用次数: 3

摘要

环境污染正在恶化的生态由于人类活动在工业和农业部门的大量。利用生物发光细菌对污染水体进行生物检测是一种经济、快速、灵敏的检测方法。细菌在海水培养基上的生长呈典型的s型曲线。为了提取对进一步建模有用的重要生长参数,本研究中使用了各种主要的生长模型,如修正Logistic、修正Gompertz、修正Richards、修正Schnute、Baranyi-Roberts、von Bertalanffy、Huang和Buchanan三相模型。黄氏模型表现最佳,RMSE、AICc值最低,调整后R2值最高。AF和BF值也非常适合该模型,它们的值最接近1.0。A or Y0(细菌生长下渐近线)、ï′-m(最大特定细菌生长速率)、ï′-¬(延迟时间)和Ymax(细菌生长上渐近线)的Huang参数分别为7.866(95%置信区间为7.850 ~ 7.883)、0.329(95%置信区间为0.299 ~ 0.359)、1.543(95%置信区间为1.303 ~ 1.784)和8.511(95%置信区间为0.299 ~ 0.359)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mathematical Modelling of the Growth Curve of Vibrio sp. Isolate MZ Grown in Seawater Medium
Pollution in the environment is deteriorating the ecology due to human activities in a large array of industrial and agricultural sectors. Bioassay of polluted waters using bioluminescent bacterium has been touted as one of the most economical, rapid and sensitive tests. The growth of the bacterium on seawater medium exhibited a typical sigmoidal profile. To extract important growth parameters useful for further modelling exercise, various primary growth models were utilized in this study such as Modified Logistic, modified Gompertz, modified Richards, modified Schnute, Baranyi-Roberts, von Bertalanffy, Huang and the Buchanan three-phase model. The best performance was Huang model with the lowest value for RMSE, AICc and the highest value for adjusted R2. The AF and BF values were also excellent for the model with their values were the closest to 1.0. The Huang parameters, which include A or Y0 (bacterial growth lower asymptote), m (maximum specific bacterial growth rate),  (lag time) and Ymax (bacterial growth upper asymptote) were 7.866 (95% confidence interval of 7.850 to 7.883), 0.329 (95% confidence interval of 0.299 to 0.359), 1.543 (95% confidence interval of 1.303 to 1.784) and 8.511 (95% confidence interval of 0.299 to 0.359).
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