Overcoming the challenges of pesticide detection in food: Integrated workflow solutions to screen and confirm multi-residue contaminants

C.E. Credits: P.A.C.E. CE Florida CE
Speaker

Abstract

Pesticides are routinely applied to crops to prevent or control pests and are therefore routinely tested for the presence of pesticide residues and to check for compliance with permitted Maximum Residue Levels (MRLs).  Given the globalization of the food supply, the large number of pesticides used, and the number of samples to be analyzed, robust, accurate, reproducible, and cost-effective multiresidue methods are the preferred to maximize screening capabilities per sample.  Liquid chromatography coupled to mass spectrometry (LC-MS) is the preferred method for performing multiresidue analysis due to the ability to screen and accurately measure 100’s of pesticides at or below MRLs with high confidence.  Targeted analysis using selected reaction monitoring (SRM) on triple quadrupole mass spectrometers is the most common approach as state-of-the-art triple quadrupole mass spectrometers can successfully monitor over 500 compounds in a 15-minute experiment.  SRM methods require the analyst to set up the instrument to screen for specified compounds requiring a priori knowledge of precursor/product ion m/z values as well as expected product ion ratios for confirmation. Recently, untargeted workflows have been developed based on high resolution/accurate mass (HRAM) analysis that does not require pre-defined compound lists.  HRAM MSn analysis enables analysts to detect and characterize known pesticides as well as unknown compounds that may be associated with unregistered pesticides or breakdown products.  Detection of such compounds can then be further verified and added to known pesticide lists through development of new standards. These two methods work in harmony to provide the most comprehensive workflow to address pesticide screening and enhance food safety.  The presentation will cover each workflow from common sample preparation to the different data acquisition methods and automated data processing.

Learning Objectives:

1. Identify intelligent untargeted data acquisition routines

2. Define empirical data metrics used to confidently annotate unknown molecules

3. Explain current approaches to integrate results from untargeted sample analysis to targeted SRM panels for high-throughput screening/quantitation


Show Resources
You May Also Like
SEP 14, 2021 7:00 AM PDT
C.E. CREDITS
SEP 14, 2021 7:00 AM PDT
Date: September 14, 2021 Time: 7am PDT, 10am EDT, 4pm CEST A conventional thermal cycler has long been a commodity product in the lab and end-point PCR techniques can be completed almost wit...
OCT 12, 2021 9:00 AM PDT
C.E. CREDITS
OCT 12, 2021 9:00 AM PDT
Date: October 12, 2021 Time: 9:00am (PDT), 12:00pm (EDT) SCIEX’s next-generation Biologics Explorer software is an innovative platform for the comprehensive and deep characterization o...
SEP 17, 2021 12:00 PM CST
C.E. CREDITS
SEP 17, 2021 12:00 PM CST
Date: September 16, 2021 Time: 9:00pm (PDT), 12:00am (EDT) 3D cellular models like organoids and spheroids offer an opportunity to better understand complex biology in a physiologically rele...
OCT 20, 2021 10:00 AM PDT
C.E. CREDITS
OCT 20, 2021 10:00 AM PDT
Date: October 20, 2021 Time:10:00am (PDT), 1:00pm (EDT) As the prevalence of Diabetes continues to rise in many areas across the globe, healthcare providers continue to look for methods that...
DEC 09, 2021 6:00 AM PST
C.E. CREDITS
DEC 09, 2021 6:00 AM PST
Date: December 9, 2021 Time: 6:00am (PDT), 9:00 am (EDT) As the number of biotherapeutic candidates in development is increasing, the requirements of analytical tools to understand the molec...
AUG 24, 2021 11:00 AM PDT
C.E. CREDITS
AUG 24, 2021 11:00 AM PDT
Date: August 24, 2021 Time: 11:00am (PDT), 1:00pm (EDT) Electron-based dissociation mechanisms have shown great promise for advanced characterization of biomolecules. However, routine adopti...
Loading Comments...
Show Resources