Issue 3 Volume 8 (2017)

Predictive modeling of bacterial growth in anaerobic biogas digester using artificial neural networks
Written by Javad Jannatkhah   Published On Issue 3 Vol 8, 2017
The main objective of this study is to determine the growth kinetics of mesophilic and thermophilic bacteria in biogas anaerobic digester using first order kinetic model, Monod kinetic model, diffusion model, Chen-Hashimoto model, Sing model and Cantois model. Nonlinear, stochastic models like artificial neural networks coupled with Monod kinetics was also applied for modeling the rate constants in anaerobic biogas digester. Thermophilic bacterial anaerobic digester is a found to be suitable for
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INDEXING
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JOURNAL OF BIOCHEMICAL TECHNOLOGY
JOURNAL OF BIOCHEMICAL TECHNOLOGY
Journal of Biochemical Technology is a double-blind peer reviewed International Journal published by the Deniz Publication on behalf of the Biochemical Technology Society, a Registered Charity Organization from India

AREA OF INTEREST
AREA OF INTEREST
new advances in enzymatic and protein mechanims; applied molecular genetics and biotechnology; genomics and proteomics; metabolic; medical, environmental, food and agro biotechnology.

FOCUS AND SCOPE
FOCUS AND SCOPE
Journal of Biochemical Technology provides a publication on all aspects of biochemistry, biotechnology & bioinformatics and applications in biology and medicine. Areas of high interest cover new advances in enzymatic and protein mechanisms; applied molecular genetics and biotechnology; computational biology, genomics and proteomics; metabolic & tissue engineering; medical, environmental, Pharmacy and pharmaceutical chemistry, food and agro-biotechnology.

Issue 3 Volume 15 - 2024