Enhanced production of acetic acid through bioprocess optimization employing response surface methodology and artificial neural network.

Autor: Upadhyay A; Centre for Energy and Environment, Malaviya National Institute of Technology Jaipur, Jaipur 302017, Rajasthan, India., Kovalev AA; Federal State Budgetary Scientific Institution, 'Federal Scientific Agroengineering Center VIM', 1st Institutskiy Proezd 5, 109428 Moscow, Russia., Zhuravleva EA; Federal Research Center 'Fundamentals of Biotechnology' of the Russian Academy of Sciences, Leninsky Prospekt 33, 2, 119071 Moscow, Russia., Pareek N; Department of Sports Bio-Sciences, School of Sports Sciences, Central University of Rajasthan, Ajmer 305817, India., Vivekanand V; Centre for Energy and Environment, Malaviya National Institute of Technology Jaipur, Jaipur 302017, Rajasthan, India. Electronic address: vivekanand.cee@mnit.ac.in.
Jazyk: angličtina
Zdroj: Bioresource technology [Bioresour Technol] 2023 May; Vol. 376, pp. 128930. Date of Electronic Publication: 2023 Mar 20.
DOI: 10.1016/j.biortech.2023.128930
Abstrakt: In this study, acetic acid bacteria (AAB) are isolated from fruit waste and cow dung on the basis of acetic acid production potential. The AAB were identified based on halo-zones produced in the Glucose-Yeast extract-Calcium carbonate (GYC media) agar plates. In the current study, maximum acetic acid yield is reported to be 4.88 g/100 ml from the bacterial strain isolated from apple waste. With the help of RSM (Response surface methodology) tool, glucose and ethanol concentration and incubation period, as independent variable showed the significant effect of glucose concentration and incubation period and their interaction on the AA yield. A hypothetical model of artificial neural network (ANN) was also used to compare the predicted value from RSM. Acetic acid production through the biological route can be the sustainable and clean approach to utilizing food waste in circular economy approach.
Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2023 Elsevier Ltd. All rights reserved.)
Databáze: MEDLINE
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