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ISSN Print: 2394-7500, ISSN Online: 2394-5869, CODEN: IJARPF

IMPACT FACTOR (RJIF): 8.4

Vol. 10, Issue 2, Part C (2024)

Statistical optimization of process variable for degradation of pulp paper mill effluent

Statistical optimization of process variable for degradation of pulp paper mill effluent

Author(s)
Yogesh Tandan and Amar Abhishek
Abstract
The paper industry is characterized by the high rate of water consumption, so high rate of wastewater produced. In India lignin was used extensively by the paper and forestry industry to prevent sap staining of wood. Lignin affects the living organism due to their toxicity. Microorganism are nature’s innovative recyclers, converting toxic organic compound to harmless species. Bacteria seems to be more effective than fungi for the bioremediation of environmental pollutants due to their immense environmental adaptability and biochemical versatility.
The outcome of the any biological treatments depends upon a numerous parameter such as pH, temperature, incubation time, carbon source and agitation speed. The conventional orthogonal approach (one-factor at a time) for optimization of the process parameters requires a very large number of experimentations, which would be very expensive and time consuming. To overcome these drawbacks, one of the statistical design tools, called Response surface methodology (RSM), can be used for the process optimization and prediction of interaction between several process variables. RSM is a collection of statistical technique for designing experiments, building models, evaluating the effects of factor and searching for the optimum conditions.
Pages: 152-160  |  126 Views  49 Downloads


International Journal of Applied Research
How to cite this article:
Yogesh Tandan, Amar Abhishek. Statistical optimization of process variable for degradation of pulp paper mill effluent. Int J Appl Res 2024;10(2):152-160.
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