Mathematical Modeling of the Inhibition Kinetics of Malachite Green Decolorization by Staphylococcus aureus

M. Manogaran, Wan Yudreina Yudryk Wan Azni, Nur Muhamad Syahir Abdul Habib, N. A. Yasid
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Abstract

Basic Green 4 or Malachite Green (MG) is an important dye that found great usage in controlling fish pathogens. The use of MG has been banned but developing, and third-world countries still found applications for this dye. Bioremediation of dyes using microorganisms is on the rise. The ability to accurately predict the rate of bioremediation relies upon the gathering of the accurate rate of decolourisation, which is often inhibited at high concentrations of the toxicant. Various secondary models such as Monod, Haldane, Teissier, Aiba, Yano and Koga, Hans-Levenspiel, Webb and the Luong models were utilized to fit the specific decolourisation rate, and most of them show visually acceptable fitting except Monod and Teissier. The best model based on statistical analysis was Hans-Levenspiel with the highest value for the adjusted coefficient of determination and the lowest values for RMSE, AICc, HQC and BIC and the closest value to 1.0 for accuracy and bias factors. The Hans-Levenspiel model was found to conform to normality tests and is adequate to be used to fit the experimental data. The normality tests carried out using tests such as the Kolmogorov-Smirnov, Wilks-Shapiro and the D'Agostino-Pearson omnibus K2 test shows that the model pass the normality tests with p >0.05 for all normality tests carried out. The experimental data obtained indicates that Malachite Green is toxic and slows down the rate of decolourisation at higher concentrations. The maximum MG specific biodegradation rate (qmax), half-saturation concentration (KS), maximum allowable MG concentration (Sm), and the shape factors (n and m) were 0.136 h-1, 0.56 mg/L, 2691 mg/L, -33.31 and 35.12, respectively. The parameters obtained from this exercise can be utilized to model the bioremediation of MG in the future.
金黄色葡萄球菌对孔雀石绿脱色抑制动力学的数学建模
碱性绿4或孔雀石绿(MG)是一种重要的染料,在控制鱼类病原体方面有很大的用途。MG的使用已被禁止,但发展中国家和第三世界国家仍然发现了这种染料的应用。利用微生物对染料进行生物修复正在兴起。准确预测生物修复速率的能力依赖于准确脱色速率的收集,脱色速率通常在高浓度有毒物质下被抑制。利用Monod、Haldane、Teissier、Aiba、Yano和Koga、Hans-Levenspiel、Webb和Luong模型拟合特定脱色率,除Monod和Teissier模型外,大多数模型在视觉上可接受。经统计分析得出的最佳模型为Hans-Levenspiel模型,其校正决定系数最高,RMSE、AICc、HQC和BIC最小,精度和偏倚因子最接近1.0。Hans-Levenspiel模型符合正态性检验,足以用于拟合实验数据。使用Kolmogorov-Smirnov、Wilks-Shapiro和D'Agostino-Pearson综合K2检验等检验进行的正态性检验表明,该模型通过了所有正态性检验,p >0.05。实验数据表明,孔雀石绿具有毒性,且浓度越高,脱色速度越慢。最大MG特定生物降解率(qmax)、半饱和浓度(KS)、最大允许MG浓度(Sm)和形状因子(n和m)分别为0.136 h-1、0.56 MG /L、2691 MG /L、-33.31和35.12。本实验获得的参数可用于未来MG的生物修复建模。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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