K. A. Aliferis and M. Chrysayi-tokousbalides, Metabolomics in pesticide research and development: review and future perspectives, Metabolomics, vol.877, issue.1, pp.35-53, 2011.
DOI : 10.1007/s11306-010-0231-x

B. Alvarez-sanchez, F. Priego-capote, and M. Luque-de-castro, Metabolomics analysis II. Preparation of biological samples prior to detection, TrAC Trends in Analytical Chemistry, vol.29, issue.2, pp.120-127, 2010.
DOI : 10.1016/j.trac.2009.12.004

B. Alvarez-sanchez, F. Priego-capote, and M. Luque-de-castro, Metabolomics analysis I. Selection of biological samples and practical aspects preceding sample preparation, TrAC Trends in Analytical Chemistry, vol.29, issue.2, 2010.
DOI : 10.1016/j.trac.2009.12.003

T. J. Athersuch, The role of metabolomics in characterizing the human exposome, Bioanalysis, vol.4, issue.18, pp.2207-2212, 2012.
DOI : 10.4155/bio.12.211

E. Bair, T. Hastie, D. Paul, and R. Tibshirani, Prediction by Supervised Principal Components, Journal of the American Statistical Association, vol.101, issue.473, pp.119-137, 2006.
DOI : 10.1198/016214505000000628

M. Bedair and L. W. Sumner, Current and emerging mass-spectrometry technologies for metabolomics, TrAC Trends in Analytical Chemistry, vol.27, issue.3, pp.238-250, 2008.
DOI : 10.1016/j.trac.2008.01.006

R. D. Beger, J. Sun, and L. K. Schnackenberg, Metabolomics approaches for discovering biomarkers of drug-induced hepatotoxicity and nephrotoxicity, Toxicology and Applied Pharmacology, vol.243, issue.2, pp.154-166, 2010.
DOI : 10.1016/j.taap.2009.11.019

K. Molgaard and . Michaelsen, Nuclear magnetic resonance-based metabonomics reveals 28, 2009.

V. Bessonneau, B. Bojko, and J. Pawliszyn, Analysis of human saliva metabolome by direct immersion solid-phase microextraction LC and benchtop orbitrap MS, Bioanalysis, vol.5, issue.7, pp.783-792, 2013.
DOI : 10.4155/bio.13.35

E. Daviglus, J. Holmes, J. K. Stamler, P. Nicholson, and . Elliott, Opening up the "Black Box": Metabolic phenotyping and metabolome-wide association studies in epidemiology, J Clin Epidemiol, vol.63, pp.970-979, 2010.

N. Bonvallot, M. Tremblay-franco, C. Chevrier, C. Canlet, C. Warembourg et al., Metabolomics Tools for Describing Complex Pesticide Exposure in Pregnant Women in Brittany (France), PLoS ONE, vol.36, issue.(1), 2013.
DOI : 10.1371/journal.pone.0064433.t003

URL : https://hal.archives-ouvertes.fr/inserm-00863407

S. C. Booth, A. M. Weljie, and R. J. Turner, COMPUTATIONAL TOOLS FOR THE SECONDARY ANALYSIS OF METABOLOMICS EXPERIMENTS, Computational and Structural Biotechnology Journal, vol.4, issue.5, p.201301003, 2013.
DOI : 10.5936/csbj.201301003

J. H. Bothwell and J. L. Griffin, An introduction to biological nuclear magnetic resonance spectroscopy, Biological Reviews, vol.35, issue.36, pp.493-510, 2011.
DOI : 10.1111/j.1469-185X.2010.00157.x

M. Bouhifd, T. Hartung, H. T. Hogberg, A. Kleensang, and L. Zhao, Review: Toxicometabolomics, Journal of Applied Toxicology, vol.8, issue.Web Server issu, 2013.
DOI : 10.1002/jat.2874

URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3808515

A. Bradman, R. Castorina, D. Boyd-barr, J. Chevrier, M. E. Harnly et al., Determinants of Organophosphorus Pesticide Urinary Metabolite Levels in Young Children Living in an Agricultural Community, International Journal of Environmental Research and Public Health, vol.8, issue.12, pp.1061-1083, 2011.
DOI : 10.3390/ijerph8041061

D. Broadhurst and D. B. Kell, Statistical strategies for avoiding false discoveries in metabolomics and related experiments, Metabolomics, vol.39, issue.Suppl 4, pp.171-196, 2006.
DOI : 10.1007/s11306-006-0037-z

J. Sonnenschein, B. S. Cravedi, A. M. Rubin, D. Soto, and . Zalko, Effects of Low Doses of Bisphenol A on the Metabolome of Perinatally Exposed CD-1 Mice, Environ Health, 2013.

. Gamet-payrastre, Specific Metabolic Fingerprint of a Dietary Exposure to very Low Dose of Endosulfan, J Toxicol, vol.545802, p.545802, 2013.

M. Chen, B. Xu, W. Ji, S. Qiao, N. Hu et al., Bisphenol A Alters n-6 Fatty Acid Composition and Decreases Antioxidant Enzyme Levels in Rat Testes: A LC-QTOF-Based Metabolomics Study, PLoS ONE, vol.7, issue.9, p.44754, 2012.
DOI : 10.1371/journal.pone.0044754.t002

S. Cubbon, C. Antonio, J. Watson, and J. Thomas-oates, Metabolomic applications of HILIC-LC-MS, Mass Spectrometry Reviews, vol.21, issue.5, pp.671-684, 2010.
DOI : 10.1002/mas.20252

V. Hladnik, M. Nunes, P. Palacin, and . Gasparini, Metabonomics and population studies: age-related amino acids excretion and inferring networks through the study of urine samples in two Italian isolated populations, Amino Acids, vol.38, pp.65-73, 2010.

C. Sommer and L. Gamet-payrastre, Dietary exposure to a low dose of pesticides alone or as a mixture: the biological metabolic fingerprint and impact on hematopoiesis, Toxicology, vol.308, pp.74-87, 2013.

K. Dettmer, P. A. Aronov, and B. D. Hammock, Mass spectrometry-based metabolomics, Mass Spectrometry Reviews, vol.47, issue.1, pp.51-78, 2007.
DOI : 10.1002/mas.20108

I. M. Goodfellow, A. M. Carreira, and . Gil, Metabolic biomarkers of prenatal disorders: an exploratory NMR metabonomics study of 2nd trimester maternal urine and blood plasma, J Proteome Res, vol.10, pp.3732-3742, 2011.

L. Du, H. Wang, W. Xu, Y. Zeng, Y. Hou et al., Application of Ultraperformance Liquid Chromatography/Mass Spectrometry-Based Metabonomic Techniques to Analyze the Joint Toxic Action of Long-term Low-Level Exposure to a Mixture of Organophosphate Pesticides on Rat Urine Profile, Toxicological Sciences, vol.134, issue.1, 2013.
DOI : 10.1093/toxsci/kft091

. Palsson, Global reconstruction of the human metabolic network based on genomic and bibliomic data, Proceedings of the National Academy of Sciences of the United States of America, vol.104, issue.6, pp.1777-1782, 2007.

J. Stamler, P. Elliott, Q. Chan, and E. Holmes, Assessment of analytical reproducibility of 1H NMR spectroscopy based metabonomics for large-scale epidemiological research: the INTERMAP Study, Anal Chem, vol.78, pp.2199-2208, 2006.

W. B. Dunn, N. J. Bailey, and H. E. Johnson, Measuring the metabolome: current analytical technologies, The Analyst, vol.263, issue.5, pp.606-625, 2005.
DOI : 10.1039/b418288j

W. B. Dunn, D. Broadhurst, D. I. Ellis, M. Brown, A. Halsall et al., A GC-TOF-MS study of the stability of serum and urine metabolomes during the UK Biobank sample collection and preparation protocols, International Journal of Epidemiology, vol.37, issue.Supplement 1, pp.23-30, 2008.
DOI : 10.1093/ije/dym281

L. Singh, J. Jarup, H. Bundy, and . Keun, Metabolic profiling detects early effects of environmental and lifestyle exposure to cadmium in a human population, BMC Medicine, vol.10, p.61, 2012.

A. Gotardi, H. Paris, P. G. Guillou, T. Martin, and . Pineau, Identification of potential mechanisms of toxicity after di-(2-ethylhexyl)-phthalate (DEHP) adult exposure in the liver using a systems biology approach, Toxicol Appl Pharmacol, vol.236, pp.282-292, 2009.

O. Fiehn, Metabolomics ??? the link between genotypes and phenotypes, Plant Mol Biol, vol.48, pp.151-171, 2002.
DOI : 10.1007/978-94-010-0448-0_11

A. Fukushima and . Kusano, Recent progress in the development of metabolomedatabases for plant systems biology, Front Plant Sci, 2013.

R. P. Reynolds, A. Rull, C. Hertz, J. R. Metayer, and . Nuckols, Determinants of agricultural pesticide concentrations in carpet dust, Environ Health Perspect, vol.119, pp.970-976, 2011.

D. Hao, W. Xu, H. Wang, L. Du, J. Yang et al., Metabolomic analysis of the toxic effect of chronic low-dose exposure to acephate on rats using ultra-performance 32, 2012.

K. A. Brown, M. L. Veselkov, H. Daviglus, H. Kesteloot, L. Ueshima et al., Human metabolic phenotype diversity and its association with diet and blood pressure, Nature, vol.453, pp.396-400, 2008.

. Debrauwer, Untargeted profiling of pesticide metabolites by LC?HRMS: an exposomics tool for human exposure evaluation, Anal Bioanal Chem. DOI, vol.10, pp.216-229, 1007.
URL : https://hal.archives-ouvertes.fr/hal-00875889

D. G. Zalko, L. Watson, and . Debrauwer, Use of reconstituted metabolic networks to assist in metabolomic data visualization and mining, Metabolomics, vol.6, issue.2, pp.312-321, 2010.

M. Kanehisa and S. Goto, KEGG: Kyoto Encyclopedia of Genes and Genomes, Nucleic Acids Research, vol.28, issue.1, pp.27-30, 2000.
DOI : 10.1093/nar/28.1.27

. Baker, Detection and identification of novel metabolomic biomarkers in preeclampsia, 2008.

B. Kholodenko, M. B. Yaffe, and W. Kolch, Computational Approaches for Analyzing Information Flow in Biological Networks, Science Signaling, vol.5, issue.220, pp.1-14, 2012.
DOI : 10.1126/scisignal.2002961

H. Y. Han, B. M. Oh, K. H. Lee, and . Choi, Metabolomics approach to risk assessment: methoxyclor exposure in rats, J. Toxicol. Environ. Health A Cur. Issues, vol.72, pp.1352-1368, 2009.

K. B. Kim, J. Y. Yang, S. Kwack, K. L. Park, H. S. Kim et al., Toxicometabolomics of Urinary Biomarkers for Human Gastric Cancer in a Mouse Model, Journal of Toxicology and Environmental Health, Part A, vol.46, issue.21-22, pp.1420-1430, 2010.
DOI : 10.1016/j.cca.2008.10.030

S. Kochhar, D. M. Jacobs, Z. Ramadan, F. Berruex, A. Fuerholz et al., Probing gender-specific metabolism differences in humans by nuclear magnetic resonance-based metabonomics, Analytical Biochemistry, vol.352, issue.2, pp.274-281, 2006.
DOI : 10.1016/j.ab.2006.02.033

M. Koek, R. H. Jellema, J. Van-der-greef, A. C. Tas, and T. Hankemeier, Quantitative metabolomics based on gas chromatography mass spectrometry: status and perspectives, Metabolomics, vol.854, issue.1???2, 2011.
DOI : 10.1007/s11306-010-0254-3

D. M. Wang, C. C. Tsai, Y. J. Huang, and . Tseng, Correction to Metabolomic Characterization of Laborers Exposed to Welding Fumes, Chemical Research in Toxicology, vol.26, issue.2, pp.676-686, 2012.
DOI : 10.1021/tx400022b

. Gayrard, Simultaneous quantification of bisphenol A and its glucuronide metabolite (BPA-G) in plasma and urine: applicability to toxicokinetic investigations, pp.2053-2059, 2011.

G. Wishart and . Lin, MyCompoundID: using evidence-based metabolome library for metabolite identification, Anal Chem, vol.85, issue.6, pp.3401-3408, 2013.

Y. J. Liang, H. P. Wang, L. Yang, W. Li, and Y. J. Wu, Metabonomic Responses in Rat Urine Following Subacute Exposure to Propoxur, International Journal of Toxicology, vol.98, issue.1, pp.287-293, 2012.
DOI : 10.1177/1091581812441030

Y. J. Liang, H. P. Wang, D. X. Long, and Y. J. Wu, H NMR-based metabonomic profiling of rat serum and urine to characterize the subacute effects of carbamate insecticide propoxur, Biomarkers, vol.99, issue.6, pp.566-574, 2012.
DOI : 10.1007/s00431-008-0866-z

Y. J. Liang, H. P. Wang, D. X. Long, and Y. J. Wu, Applying biofluid metabonomic techniques to analyze the combined subchronic toxicity of propoxur and permethrin in rats, Bioanalysis, vol.4, issue.24, pp.2897-2907, 2012.
DOI : 10.4155/bio.12.277

J. C. Lindon and J. K. Nicholson, Analytical technologies for metabonomics and metabolomics, and multi-omic information recovery, TrAC Trends in Analytical Chemistry, vol.27, issue.3, pp.194-204, 2008.
DOI : 10.1016/j.trac.2007.08.009

P. J. Lioy and S. M. Rappaport, Exposure Science and the Exposome: An Opportunity for Coherence in the Environmental Health Sciences, Environmental Health Perspectives, vol.119, issue.11, pp.466-467, 2011.
DOI : 10.1289/ehp.1104387

R. Madsen, T. Lundstedt, and J. Trygg, Chemometrics in metabolomics???A review in human disease diagnosis, Analytica Chimica Acta, vol.659, issue.1-2, pp.23-33, 2010.
DOI : 10.1016/j.aca.2009.11.042

A. D. Maher, S. F. Zirah, E. Holmes, and J. K. Nicholson, Experimental and analytical variation in human urine in 1H NMR spectroscopy-based metabolic phenotyping studies, 2007.

M. Mamas, W. Dunn, L. Neyses, and R. Goodacre, The role of metabolites and metabolomics in clinically applicable biomarkers of disease, Archives of Toxicology, vol.81, issue.4, pp.5-17, 2011.
DOI : 10.1007/s00204-010-0609-6

. Payrastre, Gender-linked haematopoietic and metabolic disturbances induced by a pesticide mixture administered at low dose to mice, Toxicology, vol.267, pp.80-90, 2010.

M. G. Miller, Environmental Metabolomics:?? A SWOT Analysis (Strengths, Weaknesses, Opportunities, and Threats), Journal of Proteome Research, vol.6, issue.2, pp.540-545, 2007.
DOI : 10.1021/pr060623x

A. Molinska, L. Blanchet, L. M. Buydens, and S. S. Wijmenga, NMR and pattern recognition methods in metabolomics: From data acquisition to biomarker discovery: A review, Analytica Chimica Acta, vol.750, pp.82-97, 2012.
DOI : 10.1016/j.aca.2012.05.049

M. T. Munoz-quezada, V. Iglesias, B. Lucero, K. Steenland, D. B. Barr et al., Predictors of exposure to organophosphate pesticides in schoolchildren in the Province of Talca, Chile, Predictors of exposure to organophosphate pesticides in schoolchildren in the Province of, pp.28-36, 2012.
DOI : 10.1016/j.envint.2012.06.002

T. C. Peakman and P. Elliott, The UK Biobank sample handling and storage validation studies, International Journal of Epidemiology, vol.37, issue.Supplement 1, pp.2-6, 2008.
DOI : 10.1093/ije/dyn019

R. Ramautar, G. W. Somsen, D. Jong, and G. J. , CE-MS for metabolomics: Developments and applications in the period 2010-2012, ELECTROPHORESIS, vol.1824, issue.1, pp.86-98, 2013.
DOI : 10.1002/elps.201200390

S. M. Rappaport, Implications of the exposome for exposure science, Journal of Exposure Science and Environmental Epidemiology, vol.10, issue.1, pp.5-9, 2011.
DOI : 10.1126/science.1071055

D. G. Robertson, P. B. Watkins, and M. D. Reily, Metabolomics in Toxicology: Preclinical and Clinical Applications, Toxicological Sciences, vol.120, issue.Supplement 1, pp.146-70, 2011.
DOI : 10.1093/toxsci/kfq358

D. Robertson, Metabonomics in Toxicology: A Review, Toxicological Sciences, vol.85, issue.2, pp.806-822, 2005.
DOI : 10.1093/toxsci/kfi102

A. Ross, G. Schlotterbeck, F. Dieterle, and H. Senn, NMR Spectroscopy Techniques for Application to Metabonomics, pp.55-112, 2007.
DOI : 10.1016/B978-044452841-4/50004-7

S. Sumner, R. Snyder, J. Burgess, C. Myers, R. Tyl et al., Metabolomics in the assessment of chemical-induced reproductive and developmental outcomes using non-invasive biological fluids: application to the study of butylbenzyl phthalate, Journal of Applied Toxicology, vol.49, issue.6, pp.703-714, 2009.
DOI : 10.1002/jat.1462

X. Sun, W. Xu, Y. Zeng, Y. Hou, L. Guo et al., Metabonomics evaluation of urine from rats administered with phorate under long-term and low-level exposure by ultraperformance liquid chromatography-mass spectrometry, J Appl Toxicol, 2012.

R. Sun, J. Zhang, M. Xiong, Y. Chen, L. Yin et al., Metabonomics Biomarkers for Subacute Toxicity Screening for Benzene Exposure in Mice, Journal of Toxicology and Environmental Health, Part A, vol.60, issue.18, pp.1163-1174, 2012.
DOI : 10.1182/blood-2003-12-4306

G. A. Theodoridis, H. G. Gika, E. J. Want, and I. D. Wilson, Liquid chromatography???mass spectrometry based global metabolite profiling: A review, Analytica Chimica Acta, vol.711, pp.7-16, 2012.
DOI : 10.1016/j.aca.2011.09.042

J. Trygg and S. Wold, Orthogonal projections to latent structures (O-PLS), Journal of Chemometrics, vol.10, issue.3, pp.119-128, 2002.
DOI : 10.1002/cem.695

D. Tuplan, S. Léger, L. Belliveau, A. Culf, and M. ?uperlovi?-culf, MetaboHunter: an automatic approach for identification of metabolites from 1H-NMR spectra of complex mixtures, BMC Bioinfo, vol.12, p.400, 2011.

R. Van-den-berg, H. Hoefsloot, J. Westerhuis, A. Smilde, and M. Van-der-werf, Centering, scaling, and transformations: improving the biological information content of metabolomics data, BMC Genomics, vol.7, issue.1, p.142, 2006.
DOI : 10.1186/1471-2164-7-142

. Coecke, A novel in vitro metabolomics approach for neurotoxicity testing, proof of principle for methylmercury, mercury chloride and caffeine, Neurotoxicol, vol.29, issue.1, pp.1-12, 2008.

P. Vineis, K. Van-veldhoven, M. Chadeau-hyam, and T. J. Atersuch, Advancing the application of omics-based biomarkers in environmental epidemiology, Environmental and Molecular Mutagenesis, vol.160, issue.7, 2013.
DOI : 10.1002/em.21764

. Vermeulen, Application of OMICS technologies in occupational and environmental health research; current status and projections, Occup Environ Med, vol.67, pp.136-143, 2010.

S. V. Vulimiri, M. Misra, J. T. Hamm, M. Mitchell, and A. Berger, Effects of Mainstream Cigarette Smoke on the Global Metabolome of Human Lung Epithelial Cells, Chemical Research in Toxicology, vol.22, issue.3, pp.492-503, 2009.
DOI : 10.1021/tx8003246

H. P. Wang, Y. J. Liang, D. X. Long, J. X. Chen, W. Y. Hou et al., Metabolic Profiles of Serum from Rats after Subchronic Exposure to Chlorpyrifos and Carbaryl, Chemical Research in Toxicology, vol.22, issue.6, pp.1026-1033, 2009.
DOI : 10.1021/tx8004746

H. P. Wang, Y. J. Liang, Y. J. Sun, J. X. Chen, W. Y. Hou et al., 1H NMR-based metabonomic analysis of the serum and urine of rats following subchronic exposure to dichlorvos, deltamethrin, or a combination of these two pesticides, Chemico-Biological Interactions, vol.203, issue.3, pp.588-596, 2013.
DOI : 10.1016/j.cbi.2013.03.017

D. S. Waterman, F. W. Bonner, and J. C. Lindon, Spectroscopic and statistical methods in metabonomics, Bioanalysis, vol.1, issue.9, pp.1559-1578, 2009.
DOI : 10.4155/bio.09.143

E. Werner, J. F. Heilier, C. Ducruix, E. Ezan, C. Junot et al., Mass spectrometry for the identification of the discriminating signals from metabolomics: Current status and future trends, Journal of Chromatography B, vol.871, issue.2, pp.143-163, 2008.
DOI : 10.1016/j.jchromb.2008.07.004

C. P. Wild, Complementing the Genome with an "Exposome": The Outstanding Challenge of Environmental Exposure Measurement in Molecular Epidemiology, Cancer Epidemiology Biomarkers & Prevention, vol.14, issue.8, pp.1847-1850, 2005.
DOI : 10.1158/1055-9965.EPI-05-0456

H. J. Sykes, L. Vogel, and . Querengesser, HMDB: The human metabolome database, Nucleic Acids Res, vol.35, pp.521-526, 2007.

R. Perez-pineiro, F. Eisner, V. Allen, R. Neveu, . Greiner et al., HMDB 3.0 ? The Human Metabolome Database in 2013, Nucleic Acids Res, vol.41, pp.801-808, 2013.

R. Nazyrova, L. Shaykhutdinov, H. J. Li, I. Vogel, and . Forsythe, HMDB: a knowledgebase for the human metabolome, Nucleic Acids Res, vol.37, pp.603-610, 2009.

S. Wold, M. Sjostrom, and L. Eriksson, PLS-regression: a basic tool of chemometrics, Chemometrics and Intelligent Laboratory Systems, vol.58, issue.2, 2001.
DOI : 10.1016/S0169-7439(01)00155-1

Y. Zhang, X. Cao, W. Ma, and . Jia, Metabolomic evaluation of di-n-butyl phthalateinduced teratogenesis in mice, Metabolomics, vol.7, issue.4, pp.559-571, 2011.

A. Zhang, H. Sun, and X. Wang, Saliva Metabolomics Opens Door to Biomarker Discovery, Disease Diagnosis, and Treatment, Applied Biochemistry and Biotechnology, vol.165, issue.1, pp.1718-1727, 2012.
DOI : 10.1007/s12010-012-9891-5

Y. Xu, S. Agrawal, T. J. Cook, and G. T. Knipp, Di-(2-ethylhexyl)-phthalate affects lipid profiling in fetal rat brain upon maternal exposure, Archives of Toxicology, vol.15, issue.1, pp.57-62, 2007.
DOI : 10.1007/s00204-006-0143-8

J. Yang, X. Sun, Z. Feng, D. Hao, M. Wang et al., Metabolomic analysis of the toxic effects of chronic exposure to low-level dichlorvos on rats using ultra-performance liquid chromatography???mass spectrometry, Toxicology Letters, vol.206, issue.3, pp.306-313, 2011.
DOI : 10.1016/j.toxlet.2011.08.012

J. Yang, W. Wang, D. Xu, L. Hao, X. Du et al., Metabolomic analysis of rat plasma following chronic low-dose exposure to dichlorvos, Human & Experimental Toxicology, vol.60, issue.2, pp.196-205, 2013.
DOI : 10.1038/nrd728

H. Zhang, L. Ding, X. Fang, Z. Shi, Y. Zhang et al., Biological Responses to Perfluorododecanoic Acid Exposure in Rat Kidneys as Determined by Integrated Proteomic and Metabonomic Studies, PLoS ONE, vol.227, issue.1136, pp.20862-20863, 2011.
DOI : 10.1371/journal.pone.0020862.s008

Y. Zhang, B. Wu, Z. Y. Zhang, and S. P. Cheng, A metabonomic analysis on health effects of drinking water on male mice (Mus musculus), Journal of Hazardous Materials, vol.190, issue.1-3, pp.515-519, 2011.
DOI : 10.1016/j.jhazmat.2011.03.077

J. Zhang, L. Yan, M. Tian, Q. Huang, S. Peng et al., The metabonomics of combined dietary exposure to phthalates and polychlorinated biphenyls in mice, Journal of Pharmaceutical and Biomedical Analysis, vol.66, pp.287-297, 2012.
DOI : 10.1016/j.jpba.2012.03.045

B. Zhou, J. Wang, and H. W. Ressom, MetaboSearch: Tool for Mass-Based Metabolite Identification Using Multiple Databases, PLoS ONE, vol.3, issue.6, p.40096, 2012.
DOI : 10.1371/journal.pone.0040096.t002

A. Zivkovic, M. Wiest, U. Nguyen, R. Davis, S. Watkins et al., Effects of sample handling and storage on quantitative lipid analysis in human serum, Metabolomics, vol.26, issue.5, pp.507-516, 2009.
DOI : 10.1007/s11306-009-0174-2