Bertelkamp, C. published the artcileA predictive multi-linear regression model for organic micropollutants, based on a laboratory-scale column study simulating the river bank filtration process, Related Products of isoquinoline, the main research area is predictive multilinear regression model organic micropollutant river bank filtration; Biodegradation; Organic micropollutants; Predictive model; QSAR; River bank filtration.
This study examined relations between OMP (organic micropollutant) biodegradation rates and the functional groups present in the chem. structure of a mixture of 31 OMPs. OMP biodegradation rates were determined from laboratory-scale columns filled with soil from RBF (river bank filtration) site Engelse Werk of the drinking water company Vitens in The Netherlands. A statistically significant relation was found between OMP biodegradation rates and the functional groups of the mol. structures of OMPs in the mixture The OMP biodegradation rate increased in the presence of carboxylic acids, hydroxyl groups, and carbonyl groups, but decreased in the presence of ethers, halogens, aliphatic ethers, Me groups and ring structures in the chem. structure of the OMPs. The predictive model obtained from the laboratory-scale soil column experiment gave an accurate qual. prediction of biodegradability for ∼70% of the OMPs monitored in the field (80% excluding the glymes). The model was less reliable for the more persistent OMPs (OMPs with predicted biodegradation rates lower or around the standard error =0.77/day) and OMPs containing amide or amine groups. These OMPs should be carefully monitored in the field to determine their removal during RBF.
Journal of Hazardous Materials published new progress about Biodegradability. 117-96-4 belongs to class isoquinoline, name is Diatrizoic Acid, and the molecular formula is C11H9I3N2O4, Related Products of isoquinoline.
Referemce:
Isoquinoline – Wikipedia,
Isoquinoline | C9H7N – PubChem