WorldCat Identities

Servien, Rémi

Overview
Works: 6 works in 6 publications in 1 language and 9 library holdings
Roles: Other, Thesis advisor
Publication Timeline
.
Most widely held works by Rémi Servien
ASICS: an automatic method for identification and quantification of metabolites in complex 1D 1H NMR spectra by Patrick J. C Tardivel( )

1 edition published in 2017 in English and held by 2 WorldCat member libraries worldwide

Clustering pesticides according to their molecular properties, fate, and effects by considering additional ecotoxicological parameters in the TyPol method by Harouna Traoré( )

1 edition published in 2017 in English and held by 2 WorldCat member libraries worldwide

Interpretable sparse SIR for functional data by Victor Picheny( )

1 edition published in 2018 in English and held by 2 WorldCat member libraries worldwide

Identification and characterization of tebuconazole transformation products in soil by combining suspect screening and molecular typology( )

1 edition published in 2016 in English and held by 1 WorldCat member library worldwide

Abstract: Pesticides generate transformation products (TPs) when they are released into the environment. These TPs may be of ecotoxicological importance. Past studies have demonstrated how difficult it is to predict the occurrence of pesticide TPs and their environmental risk. The monitoring approaches mostly used in current regulatory frameworks target only known ecotoxicologically relevant TPs. Here, we present a novel combined approach which identifies and categorizes known and unknown pesticide TPs in soil by combining suspect screening time-of-flight mass spectrometry with in silico molecular typology. We used an empirical and theoretical pesticide TP library for compound identification by both non-target and target time-of-flight (tandem) mass spectrometry, followed by structural proposition through a molecular structure correlation program. In silico molecular typology was then used to group TPs according to common molecular descriptors and to indirectly elucidate their environmental parameters by analogy to known pesticide compounds with similar molecular descriptors. This approach was evaluated via the identification of TPs of the triazole fungicide tebuconazole occurring in soil during a field dissipation study. Overall, 22 empirical and 12 yet unknown TPs were detected, and categorized into three groups with defined environmental properties. This approach combining suspect screening time-of-flight mass spectrometry with molecular typology could be extended to other organic pollutants and used to rationalize the choice of TPs to be investigated towards a more comprehensive environmental risk assessment scheme. Graphical abstract: Highlights: Combined method to detect and categorize pesticide transformation products in soil. Detection by QTOF-MS of new tebuconazole transformation products without standards. Estimation by in silico molecular typology of their environmental parameters. Method to rationally choose relevant transformation products to be studied. The proposed approach could advance pesticide environmental risk assessment. Abstract : Combination of time-of-flight mass spectrometry and molecular typology is a novel and valuable approach to identify and categorize putative tebuconazole transformation products in soil
Quantification automatique de métabolites dans un spectre RMN et application à la description de la maturité périnatale chez le porc by Gaëlle Lefort( )

1 edition published in 2021 in English and held by 1 WorldCat member library worldwide

Among all the omics data which characterize the biological functioning of an organism, metabolomics is a promising approach in systems biology for phenotype characterization orbio marker discovery. 1H Nuclear Magnetic Resonance (NMR) is a high-throughput technology that allows to obtain characteristic spectra of a complex mixture of metabolites present in a sample of interest. However, the analysis of 1H NMR spectra remains difficult, mainly due to the fact that the measure of different amounts of metabolites present in the sample is indirect with this technique. A promising approach for the analysis of such data is to identify and quantify metabolites present in the complex mixture from its spectrum and to perform the statistical analysis on the results of this quantification. A first part of this thesis consists in improving an existing method of metabolite quantification, named ASICS, and in its implementation in an R/Bioconductor package. A new method that integrates information obtained from several complex spectra of the same experiment during the quantification process is also proposed in order to improve the reliability of the results. A second part of this thesis concerns the application of this method to a problem of neonatal mortality in piglets and more precisely the description of the mechanisms involved in the establishment of maturity. Analysis of NMR spectra of plasma, urine and amniotic fluid from late gestation fetuses allow to identify metabolic pathways involving numerous amino acids and sugars (growth and energy supply) as well as glutathione metabolism (oxidative stress)
Large scale studies of the influence of GMO-based corn diet after 6 months of consumption in Wistar rats( )

1 edition published in 2017 in English and held by 1 WorldCat member library worldwide

 
Audience Level
0
Audience Level
1
  General Special  
Audience level: 0.95 (from 0.88 for Interpreta ... to 0.97 for Interpreta ...)

Alternative Names
Rémi Servien wetenschapper

Languages