A chemometric approach to understanding the bioelimination of anionic, water-soluble dyes by a biomass using empirical and semi-empirical molecular descriptors.
Single correlation and multiple linear regression analyses have been applied to understand the bioelimination of 103 anionic, water-soluble dyes by a biomass at a wastewater treatment works. The chemometric approach highlighted that anionic, water-soluble dyes with larger molecular size/ionic charge ratios and containing more primary aromatic amines and unsulphonated naphthalene nuclei and fewer aliphatic alcohol groups had superior levels of bioelimination.
Greaves
A J
AJ
Department of Colour Chemistry, University of Leeds, Leeds LS2 9JT, UK. a.greaves@leeds.ac.uk
Churchley
J H
JH
Hutchings
M G
MG
Phillips
D A
DA
Taylor
J A
JA
D000438:Alcohols / Q000378:metabolism; D000588:Amines / Q000378:metabolism*; D000838:Anions; D001673:Biodegradation, Environmental; D018533:Biomass; D004396:Coloring Agents / Q000378:metabolism*; D012044:Regression Analysis; D012995:Solubility; D013329:Structure-Activity Relationship; D014865:Waste Disposal, Fluid / Q000379:methods*; D014874:Water Pollutants, Chemical / Q000378:metabolism*; D018508:Water Purification / Q000379:methods*
D000438:Alcohols; D000588:Amines; D000838:Anions; D004396:Coloring Agents; D014874:Water Pollutants, Chemical