The Contribution of Matrix Effects to Cannabis Pesticide Analysis
Tandem mass spectrometry (MS/MS) is a versatile analytical technique that allows for the multi-residue analysis of pesticides in cannabis samples with high selectivity, sensitivity and specificity. The phenomenon of matrix effects currently presents one of the most challenging analytical issues in cannabis testing, specifically impacting MS/MS analysis. Matrix effects, caused by interactions between analytes and matrix components, can manifest as signal suppression/enhancement or matrix interference. Matrix effects can impact the quality of data produced and lead to false positive or false negative identification of analytes. Since exposure to pesticides poses a potential risk to consumer health and safety, it is vital to have a thorough understanding of matrix effects for accurate identification and quantification of pesticides. There are several strategies for reducing the impact of matrix effects, however, none will completely eliminate it. In the newly emerging field of cannabis testing, matrix effects will have to be continually investigated in order to meet the growing demand for better pesticide analyses.
In this webinar, Dr. Swetha Kaul will discuss the phenomenon of matrix effects in the MS/MS analysis of pesticides in cannabis samples. This will include a discussion on the definition and types of matrix effects. In addition, the impact of matrix effects on the misidentification of analytes as well as overall data quality will be covered. Finally, various strategies for mitigating the contribution of matrix effects will also be discussed.
Dr Swetha Kaul, Chief Scientific Officer, Cannalysis Labs was speaking at The Science of Cannabis Online Symposium 2018.