High-resolution accurate mass spectrometry as a technique for characterization of complex lysimeter leachate samples

• Published in: Environmental toxicology and chemistry 2016-06, Vol.35 (6), p.1401-1412
• Main Authors: Hand, Laurence H., Marshall, Samantha J., Saeed, Mansoor, Earll, Mark, Hadfield, Stephen T., Richardson, Kevan, Rawlinson, Paul
• Format: Article
• Language: English
• Subjects: Acetamides - analysis; Acetamides - chemistry; Agrochemicals; Agrochemicals - analysis; Agrochemicals - chemistry; Databases, Factual; Environmental chemistry; Groundwater; Groundwater - chemistry; Groundwater pollution; Leachates; Leaching; Lysimeter; Mass spectrometry; Mass Spectrometry - methods; Mass spectroscopy; Metabolism; Metabolite relevance; Metabolites; Metolachlor; Models, Theoretical; Molecular chains; NMR; Nuclear magnetic resonance; Organic chemistry; Pesticides; Principal Component Analysis; Principal components analysis; Scientific imaging; Sensitivity and Specificity; Soil - chemistry; Soil - standards; Soil degradation; Spectroscopy; Toxicology; Water analysis; Water Pollutants, Chemical - analysis; Water Pollutants, Chemical - chemistry; Water sampling
• ISSN: 0730-7268; 1552-8618
• DOI: 10.1002/etc.3318

Lysimeter studies can be used to identify and quantify soil degradates of agrochemicals (metabolites) that have the potential to leach to groundwater. However, the apparent metabolic profile of such lysimeter leachate samples will often be significantly more complex than would be expected in true groundwater samples. This is particularly true for S‐metolachlor, which has an extremely complex metabolic pathway. Consequently, it was not practically possible to apply a conventional analytical approach to identify all metabolites in an S‐metolachlor lysimeter study, because there was insufficient mass to enable the use of techniques such as nuclear magnetic resonance. Recent advances in high‐resolution accurate mass spectrometry, however, allow innovative screening approaches to characterize leachate samples to a greater extent than previously possible. Leachate from the S‐metolachlor study was screened for accurate masses (±5 ppm of the nominal mass) corresponding to more than 400 hypothetical metabolite structures. A refined list of plausible metabolites was constructed from these data to provide a comprehensive description of the most likely metabolites present. The properties of these metabolites were then evaluated using a principal component analysis model, based on molecular descriptors, to visualize the entire chemical space and to cluster the metabolites into a number of subclasses. This characterization and principal component analysis evaluation enabled the selection of suitable representative metabolites that were subsequently used as exemplars to assess the toxicological relevance of the leachate as a whole. Environ Toxicol Chem 2016;35:1401–1412. © 2015 SETAC