Pyridine is a heterocyclic aromatic compound present in pyridine raffinate, an organic discharge of the pyridine manufacturing industry. Besides pyridine, raffinate also contains formaldehyde, picolines and phenolics. Earlier, we isolated Gamma proteobacterium from timber soil for laccase production and optimized the involved process parameters. Here, we studied the optimization of process parameters for biodegradation of pyridine raffinate with the help of mathematical modeling [central composite design with response surface methodology (CCD-RSM) and artificial neural network (ANN)]. The results predicted ANN to be a better tool for optimization of pyridine raffinate degradation. CCD was used to develop the best fit second-order polynomial quadratic regression equation. Prediction of degradation percentage for pyridine raffinate was done using the equation which was found to be 71.60% at temperature 36.76°C, pH 7.45 and inoculum concentration 1.96 mL/10mL. The predicted response was experimentally validated in the wet lab to verify the degradation efficiency. The outcome was 65.76±2%, further confirmed by Gas Chromatography-Flame Ionization Detector (GC-FID). The result of GC-FID () data showed no trace of pyridine (Area 0%) which was reduced from initial area of 1.38% pyridine in raffinate sample.

中文翻译：

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响应面法和人工神经网络模拟酶法降解草酸吡啶

吡啶是吡啶提余液中存在的杂环芳族化合物，吡啶提余液是吡啶制造工业中的有机排放物。除吡啶外，提余液还含有甲醛，甲基吡啶和酚醛。之前，我们分离了伽玛变形杆菌从木材土壤中提取漆酶并优化相关工艺参数。在这里，我们借助数学建模[响应面方法（CCD-RSM）和人工神经网络（ANN）进行的中央复合设计]，研究了用于萃余液吡啶生物降解的工艺参数的优化。结果预测，人工神经网络将成为优化吡啶残液降解的更好工具。CCD用于开发最佳拟合的二阶多项式二次回归方程。使用方程式对萃余液吡啶的降解百分比进行预测，发现该方程在温度36.76°C，pH 7.45和接种浓度1.96 mL / 10mL时为71.60％。在湿实验室中通过实验验证了预期的响应，以验证降解效率。结果为65.76±2％，气相色谱-火焰电离检测器（GC-FID）进一步确认。GC-FID（）数据的结果表明，没有任何吡啶（残留量为0％），从萃余液样品中的起始面积为1.38％吡啶减少。