loading page

Unveiling impurity profiling of organophosphorus synthetic pathways through LC-HRMS metabolomics-based approaches
  • +4
  • Carla Orlandi,
  • Grégoire Delaporte,
  • Christine Albaret,
  • Emmanuel Joubert,
  • Anne Bossée,
  • Laurent Debrauwer,
  • Emilien L. Jamin
Carla Orlandi
Toxicologie Alimentaire
Author Profile
Grégoire Delaporte
Direction generale de l'Armement
Author Profile
Christine Albaret
Direction generale de l'Armement
Author Profile
Emmanuel Joubert
Direction generale de l'Armement
Author Profile
Anne Bossée
Direction generale de l'Armement
Author Profile
Laurent Debrauwer
Toxicologie Alimentaire

Corresponding Author:laurent.debrauwer@inrae.fr

Author Profile
Emilien L. Jamin
Toxicologie Alimentaire
Author Profile

Abstract

Sourcing in chemical forensic science refers to the attribution of a sample to a specific source using a characteristic signature. It relies on the identification of chemical attribution signatures (CAS), including chemical markers such as residual synthetic precursors, impurities, reaction by-products and degradation products, or even metabolites. Undertaking CAS for chemical threat agents (CTA) can be used to provide an evidentiary link between the use of a given chemical and its precursor(s) to support forensic investigations. Organophosphorus compounds, a class of nerve agents can be produced by different, more or less complex synthesis routes that can lead to specific CAS. Chlorpyrifos (CPF), an organophosphorus pesticide was selected as model compound. To assess the specificity of impurity markers originated from a chemical synthesis, untargeted fingerprints of crude CPF from different synthesis pathways were analyzed as a first use-case using metabolomics-based trace discovery strategies. Seven different CPF synthesis routes were considered and their crude mixtures were analyzed with a minimal sample preparation. Analyses were performed on a trapped ion mobility spectrometry (TIMS) coupled to liquid chromatography (LC) and high-resolution mass spectrometry (HRMS). Chemometrics analyses were conducted with multivariate methods to extract discriminating features (i.e. relevant impurities), annotate and identify them. Then, unknown samples were analyzed in blind conditions without any information of the synthesis pathway employed. The aim is to validate the methodology seeking some discriminating impurities identified in the first section to attribute and classify them according to the synthesis route.
30 Oct 2024Submitted to Rapid Communications in Mass Spectrometry
31 Oct 2024Submission Checks Completed
31 Oct 2024Assigned to Editor
31 Oct 2024Review(s) Completed, Editorial Evaluation Pending
31 Oct 2024Reviewer(s) Assigned
26 Nov 2024Editorial Decision: Revise Major
16 Dec 20241st Revision Received
16 Dec 2024Submission Checks Completed
16 Dec 2024Assigned to Editor
16 Dec 2024Review(s) Completed, Editorial Evaluation Pending
17 Dec 2024Reviewer(s) Assigned