模拟重金属对南极土壤中sds降解假单胞菌菌株DRY15生长速率的影响

M. Manogaran, A. Othman, M. Shukor, M. Halmi
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引用次数: 7

摘要

降解sds的假单胞菌DRY15菌株受到重金属尤其是汞的强烈抑制。sds降解细菌在不同汞浓度下的生长呈s型曲线,滞后时间为7 ~ 10 h。随着汞浓度的增加,整体生长受到抑制,浓度为1.0 g/L时,细菌几乎停止生长。利用修正的Gompertz模型得到了不同汞浓度下的生长速率。然后根据修正的Han-Levenspiel、Wang、Liu、修正的Andrews、Amor和Shukor模型对修正的Gompertz模型得到的增长率进行建模。五个模型中,只有Shukor、Wang、改进的Han-Levenspiel和Liu模型能够拟合曲线,而改进的Andrews和Amor模型无法拟合曲线。以RMSE和AICc最低、调整后相关系数adR2最高、AF和BF最接近统一值为基础的最佳模型为Shukor模型。Shukor模型的参数Sm、ï′-max和n分别代表临界重金属离子浓度(mg/L)、最大生长速率(h-1)和经验常数值分别为6.0(95%,置信区间为5.87 ~ 6.14)、0.09(95%,置信区间为0.086 ~ 0.096)和4.2(95%,置信区间为3.1 ~ 5.2)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modelling the Effect of Heavy Metal on the Growth Rate of an SDS-degrading Pseudomonas sp. strain DRY15 from Antarctic soil
The SDS-degrading bacterium Pseudomonas sp. strain DRY15 was strongly inhibited by heavy metals especially mercury. Growth of the SDS-degrading bacterium at various concentrations of mercury shows a sigmoidal pattern with lag periods ranging from 7 to 10 h. As the concentration of mercury was increased, the overall growth was inhibited with 1.0 g/L causing an almost cessation of bacterial growth. The modified Gompertz model was utilized to obtain growth rates at different concentrations of mercury. The growth rates obtained from the modified Gompertz model was then modelled according to the modified Han-Levenspiel, Wang, Liu, modified Andrews, the Amor and Shukor models. Out of the five models, only the Shukor, Wang, modified Han-Levenspiel and the Liu models were able to fit the curve, whilst the modified Andrews and Amor models were unable to fit the curves. The best model was Shukor based on the lowest values for RMSE and AICc, highest adjusted correlation coefficient (adR2) and values of AF and BF closest to unity. The parameters obtained from the Shukor model, which are Sm, max and n which represent critical heavy metal ion concentration (mg/L), maximum growth rate (h-1) and empirical constant values were 6.0 (95%, confidence interval from 5.87 to 6.14), 0.09 (95%, confidence interval of 0.086 to 0.096) and 4.2 (95%, confidence interval from 3.1 to 5.2), respectively.
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