<p>Enzymatic degradation of pyridine raffinate using response surface and artificial neural network simulation</p>
Online Publishing @ NISCAIR
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Authentication Code |
dc |
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Title Statement |
<p>Enzymatic degradation of pyridine raffinate using response surface and artificial neural network simulation</p> |
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Added Entry - Uncontrolled Name |
Rajput, Manish Singh Dwivedi, Vinay Awasthi, S K |
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Uncontrolled Index Term |
Backpropagation, Biodegradation, central composite design (CCD), Industrial pollution, Laccase production, Organic pollutant, RSM |
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Summary, etc. |
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 <em>Gamma proteobacterium </em>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 <div><div><p> </p></div></div> |
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Publication, Distribution, Etc. |
Indian Journal of Experimental Biology (IJEB) 2020-08-17 13:20:28 |
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Electronic Location and Access |
application/pdf http://op.niscair.res.in/index.php/IJEB/article/view/39418 |
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Data Source Entry |
Indian Journal of Experimental Biology (IJEB); ##issue.vol## 58, ##issue.no## 08 (2020): [August 2020] |
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Language Note |
en |
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