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592 results on '"Le Bizec, B."'

6. Innovative analytical methodologies for characterizing chemical exposure with a view to next-generation risk assessment

Author

Tkalec, Ž., Antignac, J.-P., Bandow, N., Béen, F.M., Belova, L., Bessems, J., Le Bizec, B., Brack, Werner, Cano-Sancho, G., Chaker, J., Covaci, A., Creusot, N., David, A., Debrauwer, L., Dervilly, G., Duca, R.C., Fessard, V., Grimalt, J.O., Guerin, T., Habchi, B., Hecht, H., Hollender, J., Jamin, E.L., Klánová, J., Kosjek, T., Krauss, Martin, Lamoree, M., Lavison-Bompard, G., Meijer, J., Moeller, R., Mol, H., Mompelat, S., Van Nieuwenhuyse, A., Oberacher, H., Parinet, J., Van Poucke, C., Roškar, R., Togola, A., Trontelj, J., Price, E.J., Tkalec, Ž., Antignac, J.-P., Bandow, N., Béen, F.M., Belova, L., Bessems, J., Le Bizec, B., Brack, Werner, Cano-Sancho, G., Chaker, J., Covaci, A., Creusot, N., David, A., Debrauwer, L., Dervilly, G., Duca, R.C., Fessard, V., Grimalt, J.O., Guerin, T., Habchi, B., Hecht, H., Hollender, J., Jamin, E.L., Klánová, J., Kosjek, T., Krauss, Martin, Lamoree, M., Lavison-Bompard, G., Meijer, J., Moeller, R., Mol, H., Mompelat, S., Van Nieuwenhuyse, A., Oberacher, H., Parinet, J., Van Poucke, C., Roškar, R., Togola, A., Trontelj, J., and Price, E.J.

Abstract

The chemical burden on the environment and human population is increasing. Consequently, regulatory risk assessment must keep pace to manage, reduce, and prevent adverse impacts on human and environmental health associated with hazardous chemicals. Surveillance of chemicals of known, emerging, or potential future concern, entering the environment-food-human continuum is needed to document the reality of risks posed by chemicals on ecosystem and human health from a one health perspective, feed into early warning systems and support public policies for exposure mitigation provisions and safe and sustainable by design strategies. The use of less-conventional sampling strategies and integration of full-scan, high-resolution mass spectrometry and effect-directed analysis in environmental and human monitoring programmes have the potential to enhance the screening and identification of a wider range of chemicals of known, emerging or potential future concern. Here, we outline the key needs and recommendations identified within the European Partnership for Assessment of Risks from Chemicals (PARC) project for leveraging these innovative methodologies to support the development of next-generation chemical risk assessment.

Published
2024

7. Harmonized quality assurance/quality control provisions to assess completeness and robustness of MS1 data preprocessing for LC-HRMS-based suspect screening and non-targeted analysis

Author

Lennon, S., Chaker, J., Price, E.J., Hollender, J., Huber, Carolin Elisabeth, Schulze, T., Ahrens, L., Béen, F., Creusot, N., Debrauwer, L., Dervilly, G., Gabriel, C., Guérin, T., Habchi, B., Jamin, E.L., Klánová, J., Kosjek, T., Le Bizec, B., Meijer, J., Mol, H., Nijssen, R., Oberacher, H., Papaioannou, N., Parinet, J., Sarigiannis, D., Stravs, M.A., Tkalec, Ž., Schymanski, E.L., Lamoree, M., Antignac, J.-P., David, A., Lennon, S., Chaker, J., Price, E.J., Hollender, J., Huber, Carolin Elisabeth, Schulze, T., Ahrens, L., Béen, F., Creusot, N., Debrauwer, L., Dervilly, G., Gabriel, C., Guérin, T., Habchi, B., Jamin, E.L., Klánová, J., Kosjek, T., Le Bizec, B., Meijer, J., Mol, H., Nijssen, R., Oberacher, H., Papaioannou, N., Parinet, J., Sarigiannis, D., Stravs, M.A., Tkalec, Ž., Schymanski, E.L., Lamoree, M., Antignac, J.-P., and David, A.

Abstract

Non-targeted and suspect screening analysis using liquid chromatography coupled to high-resolution mass spectrometry (LC-HRMS) holds great promise to comprehensively characterize complex chemical mixtures. Data preprocessing is a crucial part of the process, however, some limitations are observed: (i) peak-picking and feature extraction might be incomplete, especially for low abundant compounds, and (ii) limited reproducibility has been observed between laboratories and software for detected features and their relative quantification. We first conducted a critical review of existing solutions that could improve the reproducibility of preprocessing for LC-HRMS. Solutions include providing repositories and reporting guidelines, open and modular processing workflows, public benchmark datasets, tools to optimize the data preprocessing and to filter out false positive detections. We then propose harmonized quality assurance/quality control guidelines that would allow to assess the sensitivity of feature detection, reproducibility, integration accuracy, precision, accuracy, and consistency of data preprocessing for human biomonitoring, food and environmental communities.

Published
2024

19. Non-targeted analysis of lipidic extracts by high-resolution mass spectrometry to characterise the chemical exposome: Comparison of four clean-up strategies applied to egg

Author

Padioleau, A., Cariou, R., Guiffard, I., Le Bizec, B., Escher, Beate, Antignac, J.-P., Dervilly, G., Padioleau, A., Cariou, R., Guiffard, I., Le Bizec, B., Escher, Beate, Antignac, J.-P., and Dervilly, G.

Abstract

Biota samples are used to monitor chemical stressors and their impact on the ecosystem and to describe dietary chemical exposure. These complex matrices require an extraction step followed by clean-up to avoid damaging sensitive analytical instruments based on chromatography coupled to mass spectrometry. While interest for non-targeted analysis (NTA) is increasing, there is no versatile or generic sample preparation for a wide range of contaminants suitable for a diversity of biotic matrices. Among the contaminants’ variety, persistent contaminants are mostly hydrophobic (mid- to non-polar) and bio-magnify through the lipidic fraction. During their extraction, lipids are generally co-extracted, which may cause matrix effect during the analysis such as hindering the acquired signal. The aim of this study was to evaluate the efficacy of four clean-up methods to selectively remove lipids from extracts prior to NTA. We evaluated (i) gel permeation chromatography (GPC), (ii) Captiva EMR-lipid cartridge (EMR), (iii) sulphuric acid degradation (H2SO4) and (iv) polydimethyl siloxane (PDMS) for their efficiency to remove lipids from hen egg extracts. Gas and liquid chromatography coupled with high-resolution mass spectrometry fitted with either electron ionisation or electrospray ionisation sources operating in positive and negative modes were used to determine the performances of the clean-up methods. A set of 102 chemicals with a wide range of physico-chemical properties that covers the chemical space of mid- to non-polar contaminants, was used to assess and compare recoveries and matrix effects. Matrix effects, that could hinder the mass spectrometer signal, were lower for extracts cleaned-up with H2SO4 than for the ones cleaned-up with PDMS, EMR and GPC. The recoveries were satisfactory for both GPC and EMR while those determined for PDMS and H2SO4 were low due to poor partitioning and degradation/dissociation of the compounds, respectively. The choice of the clean-up me

Published
2023

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