Veterinary Drugs Subgroup


Veterinary Drugs Subgroup - Application!


Contact Sub Group Chair, Eric Verdon, Anses, Laboratory of Fougeres, France

Contact Sub Group Chair Jian Wang, CFIA, Calgary Laboratory, Canada

subgroup leader picture


Scientific Sesssion: Tuesday, 10:15 - 11:45

Session’s Title:
Developing and Validating Multi-Residue/Multi-Class Screening Methods for Analysis of Chemical Contaminants in Food Using GC- and LC-Chromatography and High Resolution Mass Spectrometry

There has been great interest and effort by a number of national and international bodies to develop and validate multi-class and multi-residue screening methods using high resolution mass spectrometry to screen veterinary drugs, pesticides, etc. in food commodities. This scientific session provides a platform for scientists from the international food safety related governmental agencies, industries and academia to present and discuss their recent achievements and challenges on the development of multi-class or multi-residue screening methods for targeted and untargeted analysis using GC- and LC-high resolution mass spectrometry. The emerging technologies to be discussed include (Q)-Orbitrap and (Q)-TOF etc. The validation guidelines and the method performance criteria, especially for screening based on high mass-resolution mass spectrometry, are also discussed. Overall, the session will be of interest to scientists and managers of analytical laboratories to increase their sample throughput or improve monitoring efficiency.

CO-CHAIR: Eric Verdon, French Agency for Safety of Food, Environment and Occupational Health - Laboratory of Fougeres (ANSES)

CO-CHAIR: Jian Wang, Canadian Food Inspection Agency, Laboratory of Calgary (CFIA)

1 - Sherri Turnipseed, U.S. Food and Drug Administration, Denver, CO, USA
Development, Validation and Application of a Screening Method for Drug Residues in Aquaculture Products Using Liquid Chromatography High Resolution Mass Spectrometry

2 - Dominique Hurtaud-Pessel, ANSES - Laboratory of Fougeres, Fougeres, France
Application of Q-Exactive High Resolution Mass Spectrometer for the Screening of Veterinary Drug Residues

3 - Jon Wong, U.S. Food and Drug Administration, USA
Development, Implementation, and Use of Mass Spectral Libraries and Compound Databases for Screening Chemical Residues and Contaminants in Foods Using Liquid Chromatography-High Resolution Mass Spectrometry

4 - Amadeo Fernández-Alba, University of Almería, Spain
 High Resolution Accurate Mass Spectrometry; its Role in Routine Pesticide Residue Analysis

VDR Sub-Group Community Meeting
Tuesday, 11:45 - 1:15
Room: International 3


VDR Sub-Group Meeting Minutes

Jian Wang gave an update on the 49th CCPR Guidelines on performance criteria for methods of analysis for the determination of pesticide residues in food and feed. The guidelines were adopted at Joint FAO/WHO Food Standards Program 40th session of the Codex Alimentarius Commission in Geneva (Switzerland, 17-22 July 2017). The full document can be downloaded from who-codexalimentarius/meetings-reports/en/. JW emphasized the identification criteria for different MS techniques presented in the guidelines, especially on high resolution mass spectrometers with accurate mass measurement capability, which can be served as a reference for veterinary drugs analysis. EV gave an update of the current revision of the European Decision 2002/657 used as the EU guidance for the validation of the performance of analytical methods to control veterinary medicinal products and veterinary banned substances in food at their screening and confirmatory steps. More information is available in the pdf file of the presentation released on this subgroup page of the NACRW website.

As a follow-up of the AOAC launch of the project for multi-residue analysis of veterinary drugs in food (SPSFAM on Sept. 24, 2017) Thierry Delatour, Eric Verdon & Jian Wang initiated a discussion with the audience aimed at setting some foundations for consideration in the establishment of the SMPR (next step of the project). The input and comments from the audience are captured hereafter:

- The fitness-for-purpose statement (as defined on Sept. 24, 2017 at SPSFAM Meeting) provides sufficient clarity on the scope in terms of matrices to be considered. Briefly, the method (or suite of methods) should be a screening tool that has the capability to identify residues in a broad range of food raw materials as well as infant formula.

- It has been reminded that the project has been initiated for targeting an analytical method/platform able to facilitate quality control in the operations (compliance check regarding existing regulations). Therefore, the platform will not be designed for risk assessment purposes (quantitative). It has been acknowledged that the development of a platform for risk assessment may be considered as a subsequent project.

- It has been agreed to shape the project with compounds that are regulated with a maximum residue limit (MRL). Banned compounds are out of scope. For each compound, it has been decided to select the most stringent MRL available (across various country regulations) as reference for defining the screening target concentration/target testing level (STC/TTL). Particular attention needs to be paid to MRLs established as a sum of several contributions (several compounds). When possible, STC/TTL should be low enough to leave room for some risk assessment.

- It has been agreed that screening performance is based upon two criteria: (i) false negative rate, (ii) false positive rate. The way to assess the performance (validation) still needs to be defined.

- With regard to identification criteria, additional thoughts are still required as both triple quadrupole and high resolution mass spectrometry technologies should be part of the project.
Available recommendations from the US and the EU need to be considered. The criteria for target screening are different from those for identification, and ultimately confirmation.

- The opportunity of ‘on-going validation’ concept has been shared as an approach to generate reliable validation data across the range of food matrices












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