Abstract

In this paper, various growth models such as Von Bertalanffy, Huang, Baranyi-Roberts, Modified Gompertz, Buchnam-3-phase, Modified-Richards and Modified-Logistics, were presented in fitting and evaluating the growth of Bacillus cereus wwcp1 on Malachite green dye. The Von Bertalanffy model was found to be the best model with the lowest RMSE and highest R2 values. The Accuracy and Bias factor values were near unity (1.0). The von Bertalanffy parameters such as A (lower asymptote bacterial growth), μ (bacterial growth rate) and k (curve fitting parameter) were found to be 2.757 (95% confidence interval from 2.131 to 3.382 ), 0.287 (95% confidence interval from 0.244 to 0.329) and 4.323 (95% confidence interval from 4.285 to 4.361) respectively.

Highlights

  • A common biocide in the aquaculture industry is malachite green (MG), which is one of the most widely used (MG)

  • This study is aimed at evaluating various available mathematical models such as Logistic, Gompertz, Von Bertalanffy, Buchanan three-phase, and, more recently, the Huang model in fitting and analyzing Bacillus cereus growth on malachite green dye

  • All of the model fitted to the date with the exception of the Buchanan-3phase, which show the worst fitting (Figs. 2 to 8)

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Summary

Introduction

A common biocide in the aquaculture industry is malachite green (MG), which is one of the most widely used (MG). Despite the fact that MG has long been used extensively as a topical therapeutic, aquaculture enterprises have largely neglected the possibility that topically applied therapeutants could have major internal impacts on their products. It is employed as a food colouring agent and as an ingredient in foods, as a medical disinfectant and antihelminthic, and as a dye in the textile industry, among other things (such as silk and wool). A number of researchers have estimated the LC50 values of different commercial dyes in fish at various time points over the course of several studies

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