Machine Learning Modeling of Aerobic Biodegradation for Azo Dyes and Hexavalent Chromium

The present study emphasizes the efficacy of a biosurfactant-producing bacterial strain <i>Klebsiella</i> sp. KOD36 in biodegradation of azo dyes and hexavalent chromium individually and in a simultaneous system. The bacterial strain has exhibited a considerable potential for biodegradat...

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Bibliographic Details

Published in:	Mathematics
Main Authors:	Zulfiqar Ahmad, Hua Zhong, Amir Mosavi, Mehreen Sadiq, Hira Saleem, Azeem Khalid, Shahid Mahmood, Narjes Nabipour
Format:	Article
Language:	English
Published:	MDPI AG 2020-06-01
Subjects:	biodegradation chromium azo dyes prediction SVR-FOA
Online Access:	https://www.mdpi.com/2227-7390/8/6/913