This study describes the simultaneous direct determination of endothall, glyphosate, AMPA, and glufosinate in drinking water by IC-MS. The four pesticides can be determined sensitively and accurately using a Dionex IonPac AS19-4μm column and an ISQ EC single quadrupole mass spectrometer.
Food safety and perceived health risks from residual agricultural chemicals are ongoing public concerns, and these chemicals are under increasing regulatory scrutiny, including polar pesticides. Much of the attention is focused on glyphosate because of its of wide use and association with crops and seeds genetically modified to tolerate glyphosate. In this application note, fast determination of multiple anionic pesticides and disinfection byproducts by IC-MS is demonstrated. All analytes of interest elute <14 min and were detected serially by suppressed conductivity and mass spectrometry.
A new workflow based on a modified QuPPe method and IC-MS/MS supports simultaneous multi-residue analysis of grape samples for polar pesticides. The IC-MS/MS method was developed using a Thermo Scientific™ Dionex™ IonPac™ AS19 4-µm column set and a compact IC system coupled to a Thermo Scientific™ TSQ Quantis™ triple quadrupole mass spectrometer. The results showed that the sensitivity, linearity,retention time precision, and recovery align with the SANTE/11813/2017 method performance criteria. The method provides lower LOQs than EU MRLs.
Food safety and perceived health risks from residual agricultural chemicals are ongoing public concerns, and these chemicals are under increasing regulatory scrutiny. The polar pesticides are one category, which include ionic post-emergent and desiccant herbicides, fungicides, growth-regulating chemicals, and the resultant metabolites of those compounds (Table 1 in the attached application note).
We present an IC-MS/MS based method for high-throughput screening and quantitation of polar pesticide residues and their metabolites in water matrices below the current legislative requirements. Direct injection eliminates long and laborious sample preparation and makes the method more sensitive and faster than traditionally used LC-MS/MS methods, which utilize FMOC derivatization. This method can increase cost savings, provide more reliable results, and increase sample throughput.
