ABSTRACT

The use of biological molecules to control pollutants, especially heavy metals that pollute our atmosphere, is gaining traction. In this study, simulation and optimization of process parameters using one-factor-at-a-time and response surface methodology (RSM) were employed to assess conditions for heavy metal tolerant bacteria isolated from local mining area employed in biosorption of heavy metals. Morphological, biochemical, and molecular characteristics of the isolate was determined using standard procedures. The agar plate method was used to determine heavy metal tolerance of the bacterial isolate. The effect of factors affecting biosorption of heavy metals was assessed using one-factor-at-a-time and response surface methodology respectively. The Gram-negative Alcaligenes faecalis strain UBI isolated in this study was capable of tolerating 27.0ppm of Pb²⁺. Optimum temperature and pH recorded were 35°C and 5 respectively. Similarly, optimum metal concentration indicated 2.5ppm with 12 hours contact time and at 7% of Inocula size (v/v) respectively. Simulation by RSM showed that the model is significant (p = .0013). The statistical accuracy of the model was elaborated by the non-significant lack of fit. The R2 (0.98) value highlights a perfect model likewise the low value of the coefficient of variance (CV = 3.09%). This study supports the idea of using bacteria as a panacea to heavy metal pollution under-regulated process parameters.

摘要

使用生物分子来控制污染物，尤其是污染我们大气的重金属，正在获得关注。在这项研究中，使用一次一个因素和响应面方法 (RSM) 对工艺参数进行模拟和优化，以评估从当地矿区分离出的重金属耐受细菌用于重金属生物吸附的条件。使用标准程序确定分离物的形态、生化和分子特征。采用琼脂平板法测定分离菌对重金属的耐受性。分别使用一次一个因素和响应面方法评估影响重金属生物吸附的因素的影响。革兰氏阴性粪产碱菌本研究中分离的UBI菌株能够耐受27.0ppm的Pb ²⁺。记录的最佳温度和 pH 值分别为 35°C 和 5。类似地，最佳金属浓度分别为 2.5ppm，接触时间为 12 小时，接种量为 7% (v/v)。RSM 的模拟表明该模型是显着的 ( p = .0013)。模型的统计准确性通过非显着的失拟来阐述。R2 (0.98) 值突出了一个完美的模型，同样，方差系数的低值 (CV = 3.09%)。这项研究支持使用细菌作为重金属污染监管工艺参数不足的灵丹妙药的想法。