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.
Department of Colour Chemistry, University of Leeds, Leeds LS2 9JT, UK. a.greaves@leeds.ac.uk
A J
AJ
Greaves
J H
JH
Churchley
M G
MG
Hutchings
D A
DA
Phillips
J A
JA
Taylor
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