E. Engel, J. Ratel, J. Bouhlel, C. Planche, and M. Meurillon, Novel approaches to improving the chemical safety of the meat chain towards toxicants, Meat Sci, vol.109, pp.75-85, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01269251

G. F. Ouyang, D. Vuckovic, and J. Pawliszyn, Nondestructive Sampling of Living Systems Using in Vivo Solid-Phase Microextraction, Chem. Rev, vol.111, issue.4, pp.2784-2814, 2011.

G. Dervilly-pinel, T. G. Brice-minvielle, A. Travel, J. Normand, M. Bourin et al., Erwan Engel, Micropollutants and chemical residues in organic and conventional meat, vol.232, pp.218-228, 2017.

J. L. Li, C. Y. Jiang, S. Li, and S. W. Xu, Cadmium induced hepatotoxicity in chickens (Gallus domesticus) and ameliorative effect by selenium, Ecotox. Environ. Safe, vol.96, pp.103-109, 2013.

R. T. Digiulio, P. F. Scanlon, . Sublethal, . Of, . Ingestion et al., Arch. Environ. Contam. Toxicol, vol.13, issue.6, pp.765-771, 1984.

A. Bernard, Renal dysfunction induced by cadmium: biomarkers of critical effects, Biometals, vol.17, issue.5, pp.519-523, 2004.

S. De-vos, J. Maervoet, P. Schepens, and R. De-schrijver, Polychlorinated biphenyls in broiler diets: their digestibility and incorporation in body tissues, Chemosphere, vol.51, issue.1, pp.7-11, 2003.

A. Fernandes, D. Mortimer, M. Rose, and M. Gem, Dioxins (PCDD/Fs) and PCBs in offal: Occurrence and dietary exposure, Chemosphere, vol.81, issue.4, pp.536-540, 2010.

A. L. Donoho, BIOCHEMICAL-STUDIES ON THE FATE OF MONENSIN IN ANIMALS AND IN THE ENVIRONMENT, J. Anim. Sci, vol.58, issue.6, pp.1528-1539, 1984.

C. F. Demarco, E. Schwegler, C. C. Brauner, E. Ferri, J. Halfen et al., Monensin Controlled-release Capsules do not Change Performance and Metabolic Profile in Unchallenged Beef Cattle, Acta Sci. Vet, p.42, 2014.

S. Bogialli, V. Capitolino, R. Curini, A. Di-corcia, M. Nazzari et al., Simple and rapid liquid chromatography-tandem mass spectrometry confirmatory assay for determining amoxicillin and ampicillin in bovine tissues and milk, J. Agric. Food Chem, vol.52, issue.11, pp.3286-3291, 2004.

M. Zhao, K. Z. Xie, H. S. Guo, A. H. Li, X. Xie et al., Residue depletion of ampicillin in eggs, J. Vet. Pharmacol. Ther, vol.38, issue.5, pp.508-512, 2015.

D. J. Maclachlan, Transfer of fat-soluble pesticides from contaminated feed to poultry tissues and eggs, Br. Poult. Sci, vol.49, issue.3, pp.290-298, 2008.

N. Chandra, N. K. Jain, S. Sondhia, and A. B. Srivastava, Deltamethrin Induced Toxicity and Ameliorative Effect of Alpha-Tocopherol in Broilers, Bull. Environ. Contam. Toxicol, vol.90, issue.6, pp.673-678, 2013.

A. Kumar, D. Sasmal, A. Bhaskar, K. Mukhopadhyay, A. Thakur et al., Deltamethrin-Induced Oxidative Stress and Mitochondrial Caspase-Dependent Signaling Pathways in Murine Splenocytes, Environ. Toxicol, issue.7, pp.808-819, 2016.

N. Zucchini-pascal, G. De-sousa, and R. Rahmani, Lindane and cell death: At the crossroads between apoptosis, necrosis and autophagy, Toxicology, vol.256, issue.1, pp.32-41, 2009.

M. A. Xue, G. F. Shen, J. L. Yu, D. Y. Zhang, Z. J. Lu et al., Dynamic changes of alpha-hexachlorocyclohexane and its enantiomers in various tissues of Japanese Rabbits (Oyctolagus cuniculus) after oral or dermal exposure, Chemosphere, vol.2010, issue.11, pp.1486-1491

R. Pathak, M. D. Mustafa, T. Ahmed, R. S. Ahmed, A. K. Tripathi et al., Intra uterine growth retardation: Association with organochlorine pesticide residue levels and oxidative stress markers, Reprod. Toxicol, vol.31, issue.4, pp.534-539, 2011.

E. M. El-dein, L. M. Anees, and S. M. Aly, Effects of alpha-Lipoic Acid on gammaRadiation and Lindane-Induced Heart Toxicity in Rats, Pak. J. Zool, vol.48, issue.5, pp.1523-1529, 2016.

Y. H. Cheng, S. T. Ding, and M. H. Chang, Effect of fumonisins on macrophage immune functions and gene expression of cytokines in broilers, Arch. Anim. Nutr, vol.60, issue.4, pp.267-276, 2006.

Y. Zhu, Y. I. Hassan, C. Watts, and T. Zhou, Innovative technologies for the mitigation of mycotoxins in animal feed and ingredients-A review of recent patents, Animal Feed Science and Technology, vol.216, pp.19-29, 2016.

D. Tardieu, J. D. Bailly, I. Benlashehr, A. Auby, J. Y. Jouglar et al., Tissue persistence of fumonisin B1 in ducks and after exposure to a diet containing the maximum European tolerance for fumonisins in avian feeds, Chem.-Biol. Interact, vol.182, issue.2-3, pp.239-244, 2009.

X. Wang, Q. H. Wu, D. Wan, Q. Y. Liu, D. M. Chen et al., Fumonisins: oxidative stress-mediated toxicity and metabolism in vivo and in vitro, Arch. Toxicol, vol.90, issue.1, pp.81-101, 2016.

D. Tardieu, J. D. Bailly, F. Skiba, F. Grosjean, and P. Guerre, Toxicokinetics of fumonisin B1 in Turkey poults and tissue persistence after exposure to a diet containing the maximum European tolerance for fumonisins in avian feeds, Food Chem. Toxicol, vol.46, issue.9, pp.3213-3218, 2008.

M. Gajecka, P. Slawuta, J. Nicpon, R. Kolacz, Z. Kielbowicz et al., Zearalenone and its metabolites in the tissues of female wild boars exposed per os to mycotoxins, Toxicon, vol.114, pp.1-12, 2016.

M. He, Y. Li, F. Pi, J. Ji, X. He et al., A novel detoxifying agent: Using rice husk carriers to immobilize zearalenone-degrading enzyme from Aspergillus niger FS10, Food Control, vol.68, pp.271-279, 2016.

A. Sangsila, V. Faucet-marquis, A. Pfohl-leszkowicz, and P. Itsaranuwat, Detoxification of zearalenone by Lactobacillus pentosus strains, Food Control, vol.62, pp.187-192, 2016.

A. Eveillard, F. Lasserre, M. De-tayrac, A. Polizzi, S. Claus et al., 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, issue.3, pp.282-292, 2009.

G. Madalinski, E. Godat, S. Alves, D. Lesage, E. Genin et al., Direct introduction of biological samples into a LTQ-Orbitrap hybrid mass spectrometer as a tool for fast metabolome analysis, Anal. Chem, vol.80, issue.9, pp.3291-3303, 2008.

S. Andree, W. Jira, K. H. Schwind, H. Wagner, and F. Schwagele, Chemical safety of meat and meat products, Meat Sci, vol.2010, issue.1, pp.38-48

J. F. Focant, Dioxin food crises and new POPs: challenges in analysis, Anal. Bioanal. Chem, vol.2012, issue.10, pp.2797-2800

C. Ibanez, A. Valdes, V. Garcia-canas, C. Simo, M. Celebier et al., Global Foodomics strategy to investigate the health benefits of dietary constituents, J. Chromatogr. A, vol.1248, pp.139-153, 2012.

M. Herrero, C. Simo, V. Garcia-canas, E. Ibanez, and A. Cifuentes, Foodomics: MS-based strategies in modern food science and nutrition, Mass Spectrom. Rev, vol.2012, issue.1, pp.49-69

V. G. Marrachelli, P. Rentero, M. L. Mansego, J. M. Morales, I. Galan et al.,

F. Martinez, J. C. Martin-escudero, L. Briongos, F. J. Chaves, J. Redon et al., Genomic and Metabolomic Profile Associated to Clustering of Cardio-Metabolic Risk Factors, PLoS One, issue.9, p.11, 2016.

A. Duhoux, S. Carrere, J. Gouzy, L. Bonin, and C. Delye, RNA-Seq analysis of rye-grass transcriptomic response to an herbicide inhibiting acetolactate-synthase identifies transcripts linked to non-target-site-based resistance, Plant Mol.Biol, vol.87, issue.4-5, pp.473-487, 2015.

X. J. Liu, W. C. Zhu, Y. B. Su, C. Guo, Z. H. Zeng et al., Characterization of ampicillin-stressed proteomics and development of a direct method for detecting drug-binding proteins in Edwardsiella tarda, J. Proteomics, vol.116, pp.97-105, 2015.

E. P. Rhee and R. E. Gerszten, Metabolomics and Cardiovascular Biomarker Discovery, Clin. Chem, vol.2012, issue.1, pp.139-147

K. Dettmer, P. A. Aronov, and B. D. Hammock, Mass spectrometry-based metabolomics, Mass Spectrom. Rev, vol.26, issue.1, pp.51-78, 2007.

S. M. Watkins and J. B. German, Toward the implementation of metabolomic assessments of human health and nutrition, Curr. Opin. Biotechnol, vol.13, issue.5, pp.512-516, 2002.

H. J. Liu, H. Wang, C. X. Li, L. C. Wang, Z. F. Pan et al., Investigation of volatile organic metabolites in lung cancer pleural effusions by solid-phase microextraction and gas chromatography/mass spectrometry, J. Chromatogr. B, vol.945, pp.53-59, 2014.

J. L. Griffin, The Cinderella story of metabolic profiling: does metabolomics get to go to the functional genomics ball?, Philos. Trans. R. Soc. B-Biol. Sci, pp.147-161, 1465.

W. Saitoh, S. Yamauchi, K. Watanabe, W. Takasaki, and K. Mori, Metabolomic analysis of arginine metabolism in acute hepatic injury in rats, J. Toxicol. Sci, vol.2014, issue.1, pp.41-50

S. Tulipani, M. Palau-rodriguez, A. M. Alonso, F. Cardona, A. Marco-ramell et al., Biomarkers of Morbid Obesity and Prediabetes by Metabolomic Profiling of Human Discordant Phenotypes, Clinica Chimica Acta, vol.463, pp.53-61, 2016.

H. W. Zhang, P. Fu, B. L. Ke, S. P. Wang, M. Li et al., Metabolomic analysis of biochemical changes in the plasma and urine of collagen-induced arthritis in rats after treatment with Huang-Lian-Jie-Du-Tang, J. Ethnopharmacol, vol.154, issue.1, pp.55-64, 2014.

A. A. O'kane, O. P. Chevglier, S. F. Graham, C. T. Elliott, and M. H. Mooney, Metabolomic Profiling of In Vivo Plasma Responses to Dioxin-Associated Dietary Contaminant Exposure in Rats: Implications for Identification of Sources of Animal and Human Exposure, Environ. Sci. Technol, vol.47, issue.10, pp.5409-5418, 2013.

P. Berge, J. Ratel, A. Fournier, C. Jondreville, C. Feidt et al., Use of Volatile Compound Metabolic Signatures in Poultry Liver to Back-Trace Dietary Exposure to Rapidly Metabolized Xenobiotics, Environ. Sci. Technol, vol.45, issue.15, pp.6584-6591, 2011.
URL : https://hal.archives-ouvertes.fr/hal-01019411

A. P. Anton, A. M. Ferreira, C. G. Pinto, B. M. Cordero, and J. L. Pavon, Headspace generation coupled to gas chromatography-mass spectrometry for the automated determination and quantification of endogenous compounds in urine. Aldehydes as possible markers of oxidative stress, J. Chromatogr. A, vol.1367, pp.9-15, 2014.

M. Spichiger, R. C. Muhlbauer, and R. Brenneisen, Determination of menthol in plasma and urine of rats and humans by headspace solid phase microextraction and gas chromatography-mass spectrometry, J. Chromatogr. B, issue.1, pp.111-117, 2004.

M. 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.7, issue.3, pp.307-328, 2011.

A. W. Michell, D. Mosedale, D. J. Grainger, and R. A. Barker, Metabolomic analysis of urine and serum in Parkinson's disease, Metabolomics, vol.4, issue.3, pp.191-201, 2008.

P. G. Lokhov, M. I. Dashtiev, S. A. Moshkovskii, and A. I. Archakov, Metabolite profiling of blood plasma of patients with prostate cancer, Metabolomics, vol.6, issue.1, pp.156-163, 2010.

C. L. Silva, M. Passos, and J. S. Camara, Investigation of urinary volatile organic metabolites as potential cancer biomarkers by solid-phase microextraction in combination with gas chromatographymass spectrometry, Br. J. Cancer, issue.12, pp.1894-1904, 2011.

D. Vuckovic and J. Pawliszyn, Systematic Evaluation of Solid-Phase Microextraction Coatings for Untargeted Metabolomic Profiling of Biological Fluids by Liquid Chromatography-Mass Spectrometry, Anal. Chem, vol.83, issue.6, pp.1944-1954, 2011.

T. Abaffy, M. G. Moller, D. D. Riemer, C. Milikowski, and R. A. Defazio, Comparative analysis of volatile metabolomics signals from melanoma and benign skin: a pilot study, Metabolomics, vol.2013, issue.5, pp.998-1008

P. Mochalski, K. Unterkofler, G. Teschl, and A. Amann, Potential of volatile organic compounds as markers of entrapped humans for use in urban search-and-rescue operations, TracTrends Anal. Chem, vol.68, pp.88-106, 2015.

M. Hakim, Y. Y. Broza, O. Barash, N. Peled, M. Phillips et al., Volatile Organic Compounds of Lung Cancer and Possible Biochemical Pathways, Chem. Rev, vol.2012, issue.11, pp.5949-5966

B. Calenic, D. Miricescu, M. Greabu, A. V. Kuznetsov, J. Troppmair et al., Oxidative stress and volatile organic compounds: interplay in pulmonary, cardio-vascular, digestive tract systems and cancer. Open Chem, vol.13, pp.1020-1030, 2015.

W. Miekisch, J. K. Schubert, and G. F. Noeldge-schomburg, Diagnostic potential of breath analysis-focus on volatile organic compounds, Clinica Chimica Acta, vol.347, issue.1-2, pp.25-39, 2004.

T. Khalid, R. Aggio, P. White, B. Costello, R. Persad et al., Urinary Volatile Organic Compounds for the Detection of Prostate Cancer, PLoS One, issue.11, p.10, 2015.

B. Bojko, N. Reyes-garcés, V. Bessonneau, K. Gory?ski, F. Mousavi et al., Solid-phase microextraction in metabolomics, TrAC Trends in Analytical Chemistry, issue.0, pp.168-180, 2014.

A. Peralbo-molina, M. Calderon-santiago, F. Priego-capote, B. Jurado-gamez, and M. D. De-castro, Development of a method for metabolomic analysis of human exhaled breath condensate by gas chromatography-mass spectrometry in high resolution mode, Anal. Chim. Acta, vol.887, pp.118-126, 2015.

N. Li, C. H. Deng, X. Y. Yin, N. Yao, X. Z. Shen et al., Gas chromatography-mass spectrometric analysis of hexanal and heptanal in human blood by headspace single-drop microextraction with droplet derivatization, Anal. Biochem, vol.342, issue.2, pp.318-326, 2005.

J. N. Bianchin, G. Nardini, J. Merib, A. N. Dias, E. Martendal et al., Screening of volatile compounds in honey using a new sampling strategy combining multiple extraction temperatures in a single assay by HS-SPME-GC-MS, Food Chem, vol.145, pp.1061-1065, 2014.

M. Giardina and S. V. Olesik, Application of low-temperature glassy carbon-coated macrofibers for solid-phase microextraction analysis of simulated breath volatiles, Anal. Chem, vol.75, issue.7, pp.1604-1614, 2003.

C. L. Arthur and J. Pawliszyn, SOLID-PHASE MICROEXTRACTION WITH THERMALDESORPTION USING FUSED-SILICA OPTICAL FIBERS, Anal. Chem, issue.19, pp.2145-2148, 1990.

G. Ouyang, Y. Chen, L. Setkova, and J. Pawliszyn, Calibration of solid-phase microextraction for quantitative analysis by gas chromatography, J. Chromatogr. A, pp.9-16, 2005.

G. Song, T. Qin, H. Liu, G. B. Xu, Y. Y. Pan et al., Quantitative breath analysis of volatile organic compounds of lung cancer patients, Lung Cancer, vol.67, issue.2, pp.227-231, 2010.

S. Wang, K. D. Oakes, L. M. Bragg, J. Pawliszyn, G. Dixon et al., Validation and use of in vivo solid phase micro-extraction (SPME) for the detection of emerging contaminants in fish, Chemosphere, vol.85, issue.9, pp.1472-1480, 2011.

I. B. Karaconji, L. Zimic, N. Brajenovic, and L. Skender, Optimisation of a solid-phase microextraction method for the analysis of nicotine in hair, J. Sep. Sci, vol.34, issue.19, pp.2726-2731, 2011.

N. P. Brunton, D. A. Cronin, F. J. Monahan, and R. Durcan, A comparison of solid-phase microextraction (SPME) fibres for measurement of hexanal and pentanal in cooked turkey, Food Chem, vol.68, issue.3, pp.339-345, 2000.

R. Costa, L. Tedone, S. De-grazia, P. Dugo, and L. Mondello, Multiple headspace-solid-phase microextraction: An application to quantification of mushroom volatiles, Anal. Chim. Acta, vol.770, pp.1-6, 2013.

A. R. Ghiasvand, L. Setkova, and J. Pawliszyn, Determination of flavour profile in Iranian fragrant rice samples using cold-fibre SPME-GC-TOF-MS. Flavour Frag, J, vol.22, issue.5, pp.377-391, 2007.

J. L. Greene, T. H. Sanders, and M. A. Drake, Characterization of volatile compounds contributing to naturally occurring fruity fermented flavor in peanuts, J. Agric. Food Chem, vol.56, issue.17, pp.8096-8102, 2008.

H. Kataoka and K. Saito, Recent advances in SPME techniques in biomedical analysis, J. Pharm. Biomed. Anal, vol.54, issue.5, pp.926-950, 2011.

R. F. Jiang, E. Cudjoe, B. Bojko, T. Abaffy, and J. Pawliszyn, A non-invasive method for in vivo skin volatile compounds sampling, Anal. Chim. Acta, vol.804, pp.111-119, 2013.

E. Dixon, C. Clubb, S. Pittman, L. Ammann, Z. Rasheed et al., Solid-Phase Microextraction and the Human Fecal VOC Metabolome, PLoS One, vol.6, issue.4, 2011.

B. Bojko, E. Cudjoe, M. Wasowicz, and J. Pawliszyn, Solid-phase microextraction. How far are we from clinical practice?, Trac-Trends Anal. Chem, vol.30, issue.9, pp.1505-1512, 2011.

F. M. Musteata and J. Pawliszyn, Bioanalytical applications of solid-phase microextraction, TracTrends Anal. Chem, vol.26, issue.1, pp.36-45, 2007.

S. Risticevic, Y. Chen, L. Kudlejova, R. Vatinno, B. Baltensperger et al., Protocol for the development of automated high-throughput SPME-GC methods for the analysis of volatile and semivolatile constituents in wine samples, Nat. Protoc, vol.2010, issue.1, pp.162-176

S. Ulrich, Solid-phase microextraction in biomedical analysis, J. Chromatogr. A, vol.902, issue.1, pp.167-194, 2000.

G. Theodoridis, E. H. Koster, and G. J. De-jong, Solid-phase microextraction for the analysis of biological samples, J. Chromatogr. B, issue.1, pp.49-82, 2000.

G. Ouyang and J. Pawliszyn, A critical review in calibration methods for solid-phase microextraction, Anal. Chim. Acta, vol.627, issue.2, pp.184-197, 2008.

R. Perestrelo, A. S. Barros, S. M. Rocha, and J. S. Camara, Talanta, vol.85, p.1483, 2011.

S. Risticevic and J. Pawliszyn, Solid-Phase Microextraction in Targeted and Nontargeted Analysis: Displacement and Desorption Effects, Anal. Chem, issue.19, pp.8987-8995, 2013.

C. H. Deng, X. M. Zhang, and N. Li, Investigation of volatile biomarkers in lung cancer blood using solid-phase microextraction and capillary gas chromatography-mass spectrometry, J. Chromatogr. B, vol.808, issue.2, pp.269-277, 2004.

M. P. Gianelli, M. Flores, and F. Toldra, Optimisation of solid phase microextraction (SPME) for the analysis of volatile compounds in dry-cured ham, Journal of the Science of Food and Agriculture, vol.82, issue.14, pp.1703-1709, 2002.

B. Bojko, E. Cudjoe, G. A. Gomez-rios, K. Gorynski, R. F. Jiang et al., SPME-Quo vadis?, Anal. Chim. Acta, vol.750, pp.132-151, 2012.

Y. Z. Liu, S. Muralidhara, J. V. Bruckner, and M. G. Bartlett, Optimization, validation and application of a method for the determination of trichloroethylene in rat plasma by headspace solidphase microextraction gas chromatography mass spectrometry, Biomed. Chromatogr, vol.22, issue.9, pp.977-984, 2008.

A. K. Smilde, M. J. Van-der-werf, S. Bijlsma, B. J. Van-der-werff-van-der-vat, and R. H. Jellema, Fusion of mass spectrometry-based metabolomics data, Anal. Chem, issue.20, pp.6729-6736, 2005.

R. A. Van-den-berg, H. C. Hoefsloot, J. A. Westerhuis, A. K. Smilde, and M. J. Van-der-werf, Centering, scaling, and transformations: improving the biological information content of metabolomics data, BMC Genomics, p.7, 2006.

D. Guida, R. Engel, J. Allwood, J. W. Weber, R. J. Jones et al., Non-targeted UHPLC-MS metabolomic data processing methods: a comparative investigation of normalisation, missing value imputation, transformation and scaling, Metabolomics, vol.2016, issue.5, p.12

C. Deport, J. Ratel, J. L. Berdague, and E. Engel, Comprehensive combinatory standard correction: A calibration method for handling instrumental drifts of gas chromatography-mass spectrometry systems, J. Chromatogr. A, pp.248-258, 2006.

E. Engel and J. Ratel, Correction of the data generated by mass spectrometry analyses of biological tissues: Application to food authentication, J. Chromatogr. A, pp.331-341, 2007.

M. E. Martucci, R. C. De-vos, C. A. Carollo, and L. Gobbo-neto, Metabolomics as a Potential Chemotaxonomical Tool: Application in the Genus Vernonia Schreb, PLoS One, vol.9, issue.4, 2014.

H. Amal, M. Leja, K. Funka, I. Lasina, R. Skapars et al., Breath testing as potential colorectal cancer screening tool, Int. J. Cancer, vol.138, issue.1, pp.229-236, 2016.

B. Lehallier, J. Ratel, M. Hanafi, and E. Engel, Systematic ratio normalization of gas chromatography signals for biological sample discrimination and biomarker discovery, Anal Chim Acta, vol.733, pp.16-22, 2012.
URL : https://hal.archives-ouvertes.fr/hal-02066453

P. Filzmoser and B. Walczak, What can go wrong at the data normalization step for identification of biomarkers?, J. Chromatogr. A, vol.1362, pp.194-205, 2014.

F. Dieterle, A. Ross, G. Schlotterbeck, and H. Senn, Probabilistic quotient normalization as robust method to account for dilution of complex biological mixtures. Application in H-1 NMR metabonomics, Anal. Chem, issue.13, pp.4281-4290, 2006.

O. Hrydziuszko and M. R. Viant, Missing values in mass spectrometry based metabolomics: an undervalued step in the data processing pipeline, Metabolomics, vol.2012, issue.1, pp.161-174

S. K. Davies, J. E. Ang, V. L. Revell, B. Holmes, A. Mann et al., Effect of sleep deprivation on the human metabolome, Proceedings of the National Academy of Sciences of the United States of America, vol.111, pp.10761-10766, 2014.

K. Cottet, G. Genta-jouve, Y. Fromentin, G. Odonne, C. Duplais et al., Comparative LC-MS-based metabolite profiling of the ancient tropical rainforest tree Symphonia globulifera, Phytochemistry, vol.108, pp.102-108, 2014.
URL : https://hal.archives-ouvertes.fr/hal-02105823

Y. Gagnebin, D. Tonoli, P. Lescuyer, B. Ponte, S. De-seigneux et al., Metabolornic analysis of urine samples by UHPLC-QTOF-MS: Impact of normalization strategies, Anal. Chim. Acta, vol.955, pp.27-35, 2017.

T. Barri and L. O. Dragsted, UPLC-ESI-QTOF/MS and multivariate data analysis for blood plasma and serum metabolomics: Effect of experimental artefacts and anticoagulant, Anal. Chim. Acta, vol.768, pp.118-128, 2013.

J. Boccard and D. N. Rutledge, A consensus orthogonal partial least squares discriminant analysis (OPLS-DA) strategy for multiblock Omics data fusion, Anal. Chim. Acta, vol.769, pp.30-39, 2013.
URL : https://hal.archives-ouvertes.fr/hal-01252654

R. Cozzolino, L. De-magistris, P. Saggese, M. Stocchero, A. Martignetti et al., Use of solid-phase microextraction coupled to gas chromatography-mass spectrometry for determination of urinary volatile organic compounds in autistic children compared with healthy controls, Anal. Bioanal. Chem, issue.19, pp.4649-4662, 2014.

M. K. Das, S. C. Bishwal, A. Das, D. Dabral, A. Varshney et al., Investigation of Gender-Specific Exhaled Breath Volatome in Humans by GCxGC-TOF-MS, Anal. Chem, vol.86, issue.2, pp.1229-1237, 2014.

H. J. Liu, C. X. Li, H. Wang, Z. P. Huang, P. P. Zhang et al., Characterization of Volatile Organic Metabolites in Lung Cancer Pleural Effusions by SPME-GC/MS Combined with an Untargeted Metabolomic Method, Chromatographia, vol.77, pp.1379-1386, 2014.

S. Wold, K. Esbensen, P. Geladi, and . Principal-component, ANALYSIS. Chemometrics Intell. Lab. Syst, vol.2, issue.1-3, pp.37-52, 1987.

D. N. Rutledge and D. J. Bouveresse, Independent Components Analysis with the JADE algorithm, Trac-Trends Anal. Chem, vol.50, pp.22-32, 2013.
URL : https://hal.archives-ouvertes.fr/hal-01349802

E. M. Qannari, I. Wakeling, P. Courcoux, and H. J. Macfie, Defining the underlying sensory dimensions, Food Qual. Prefer, vol.11, pp.151-154, 2000.

C. Pinto and R. , Development of new chemometric methods-application to the spectroscopic characterisation of food quality, 2009.
URL : https://hal.archives-ouvertes.fr/pastel-00005270

E. Dubin, M. Spiteri, A. S. Dumas, J. Ginet, M. Lees et al., Common components and specific weights analysis: A tool for metabolomic data pre-processing, Chemometrics Intell. Lab. Syst, vol.150, pp.41-50, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01250491

S. Andree, W. Jira, K. H. Schwind, H. Wagner, and F. Schwagele, Chemical safety of meat and meat products, Meat Sci, vol.86, pp.38-48, 2010.

C. H. Richter, B. Custer, J. A. Steele, B. A. Wilcox, and J. C. Xu, Intensified food production and correlated risks to human health in the Greater Mekong Subregion: a systematic review, Environ. Health, vol.14, 2015.

T. K. Udeigwe, J. M. Teboh, P. N. Eze, M. H. Stietiya, V. Kumar et al., Implications of leading crop production practices on environmental quality and human health, J. Environ. Manage, vol.151, pp.267-279, 2015.

J. F. Focant, Dioxin food crises and new POPs: challenges in analysis, vol.403, pp.2797-2800, 2012.

S. Khatib, J. P. Finberg, F. Artoul, Y. Lavner, S. Mahmood et al., Analysis of volatile organic compounds in rats with dopaminergic lesion: Possible application for early detection of Parkinson's disease, Neurochem. Int, vol.76, pp.82-90, 2014.

M. Kusano, E. Mendez, and K. G. Furton, Development of headspace SPME method for analysis of volatile organic compounds present in human biological specimens, Anal. Bioanal. Chem, vol.400, pp.1817-1826, 2011.

T. Khalid, R. Aggio, P. White, B. Costello, R. Persad et al., Urinary Volatile Organic Compounds for the Detection of Prostate Cancer, PLoS One, vol.10, p.143283, 2015.

P. Berge, J. Ratel, A. Fournier, C. Jondreville, C. Feidt et al., Use of Volatile Compound Metabolic Signatures in Poultry Liver to Back-Trace Dietary Exposure to Rapidly Metabolized Xenobiotics, Environ. Sci. Technol, vol.45, pp.6584-6591, 2011.
URL : https://hal.archives-ouvertes.fr/hal-01019411

Q. Zhang, L. Zhou, H. Chen, C. Wang, Z. Xia et al., Solid-phase microextraction technology for in vitro and in vivo metabolite analysis, Trac-Trends Anal. Chem, vol.80, pp.57-65, 2016.

G. Ouyang and J. Pawliszyn, A critical review in calibration methods for solid-phase microextraction, Anal. Chim. Acta, vol.627, pp.184-197, 2008.

F. M. Musteata, J. Pawliszyn, and J. , Bioanalytical applications of solid-phase microextraction, TracTrends Anal. Chem, vol.26, pp.36-45, 2007.

C. L. Silva, M. Passos, and J. S. Camara, Solid phase microextraction, mass spectrometry and metabolomic approaches for detection of potential urinary cancer biomarkers-A powerful strategy for breast cancer diagnosis, Talanta, vol.89, pp.360-368, 2012.

D. Robertshaw, Temperature regulation and the thermal environment, Physiology of Domestic Animals, 2004.

J. Ruiz, R. Cava, J. Ventanas, and M. T. Jensen, Headspace solid phase microextraction for the analysis of volatiles in a meat product: Dry-cured Iberian ham, J. Agric. Food Chem, vol.46, pp.4688-4694, 1998.

M. Garcia-esteban, D. Ansorena, I. Astiasarán, and J. Ruiz, Study of the effect of different fiber coatings and extraction conditions on dry cured ham volatile compounds extracted by solid-phase microextraction (SPME), Talanta, vol.64, pp.458-466, 2004.

S. Bogusz, A. D. De-melo, C. A. Zini, and H. T. Godoy, Optimization of the extraction conditions of the volatile compounds from chili peppers by headspace solid phase micro-extraction, J. Chromatogr. A, vol.1218, pp.3345-3350, 2011.

M. Xu, A. V. Terry, and M. G. Bartlett, Determination of diisopropylfluorophosphate in rat plasma and brain tissue by headspace solid-phase microextraction gas chromatography/mass spectrometry, Rapid Commun. Mass. Spectrom, vol.22, pp.3069-3075, 2008.

G. Flores, M. L. Castillo, G. P. Blanch, and M. Herraiz, Effect of sample freezing on the SPME performance in the analysis of chiral volatile compounds in foods, Food Chem, vol.96, pp.334-339, 2006.

G. F. Ouyang, D. Vuckovic, and J. Pawliszyn, Nondestructive Sampling of Living Systems Using in Vivo Solid-Phase Microextraction, Chem. Rev, vol.111, pp.2784-2814, 2011.

H. L. Lord and J. Pawliszyn, Method optimization for the analysis of amphetamines in urine by solidphase microextraction, Anal. Chem, vol.69, pp.3899-3906, 1997.

A. Rivas-canedo, C. Juez-ojeda, M. Nunez, and E. Fernandez-garcia, Volatile compounds in lowacid fermented sausage "espetec" and sliced cooked pork shoulder subjected to high pressure processing. A comparison of dynamic headspace and solid-phase microextraction, Food. Chem, vol.132, pp.18-26, 2012.

J. C. Martin, M. Maillot, G. Mazerolles, A. Verdu, B. Lyan et al., Can we trust untargeted metabolomics? Results of the metabo-ring initiative, Metabolomics, vol.11, pp.807-821, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01123343

D. J. Maclachlan, Transfer of fat-soluble pesticides from contaminated feed to poultry tissues and eggs, Br. Poult. Sci, vol.49, pp.290-298, 2008.

, Scientific Opinion on the public health hazards to be covered by inspection of meat (poultry), EFSA (European Food Safety Authority), vol.10, 2012.

E. M. Qannari, I. Wakeling, P. Courcoux, and H. J. Macfie, Defining the underlying sensory dimensions, Food Qual. Prefer, vol.11, pp.151-154, 2000.

G. Mazerolles, M. F. Devaux, E. Dufour, E. M. Qannari, and P. Courcoux, Chemometric methods for the coupling of spectroscopic techniques and for the extraction of the relevant information contained in the spectral data table, Chemometrics Intell. Lab. Syst, vol.63, pp.57-68, 2002.

J. Maalouly, N. Hayeck, A. Kassouf, D. N. Rutledge, and V. Ducruet, Chemometric Tools to Highlight Possible Migration of Compounds from Packaging to Sunflower Oils, J. Agric. Food. Chem, vol.61, pp.10565-10573, 2013.
URL : https://hal.archives-ouvertes.fr/hal-01019109

M. B. Wilk, Probabolity ploting methods for analysis of data, Gnanades.R, vol.55, pp.1-17, 1968.

R. Perestrelo, A. S. Barros, S. M. Rocha, and J. S. Camara, Optimisation of solid-phase microextraction combined with gas chromatography-mass spectrometry based methodology to establish the global volatile signature in pulp and skin of Vitis vinifera L. grape varieties, Talanta, vol.85, pp.1483-1493, 2011.

S. Risticevic and J. Pawliszyn, Solid-Phase Microextraction in Targeted and Nontargeted Analysis: Displacement and Desorption Effects, Anal. Chem, vol.85, pp.8987-8995, 2013.

J. Ruiz, J. Ventanas, and R. Cava, New device for direct extraction of volatiles in solid samples using SPME, J. Agric. Food. Chem, vol.49, pp.5115-5121, 2001.

M. P. Gianelli, M. Flores, and F. Toldra, Optimisation of solid phase microextraction (SPME) for the analysis of volatile compounds in dry-cured ham, J.Sci. Food. Agric, vol.82, pp.1703-1709, 2002.

M. Hakim, Y. Y. Broza, O. Barash, N. Peled, M. Phillips et al., Volatile Organic Compounds of Lung Cancer and Possible Biochemical Pathways, Chem. Rev, vol.112, pp.5949-5966, 2012.

S. Riazanskaia, G. Blackburn, M. Harker, D. Taylor, and C. L. Thomas, The analytical utility of thermally desorbed polydimethylsilicone membranes for in-vivo sampling of volatile organic compounds in and on human skin, Analyst, vol.133, pp.1020-1027, 2008.

Y. Z. Liu, S. Muralidhara, J. V. Bruckner, and M. G. Bartlett, Optimization, validation and application of a method for the determination of trichloroethylene in rat plasma by headspace solid-phase microextraction gas chromatography mass spectrometry, Biomed. Chromatogr, vol.22, pp.977-984, 2008.

N. Chandra, N. K. Jain, S. Sondhia, and A. B. Srivastava, Deltamethrin Induced Toxicity and Ameliorative Effect of Alpha-Tocopherol in Broilers, Bull, Environ. Contam. Toxicol, vol.90, pp.673-678, 2013.

D. Arora, M. H. Siddiqui, P. K. Sharma, S. P. Singh, A. Tripathi et al., Evaluation and physiological correlation of plasma proteomic fingerprints for deltamethrin-induced hepatotoxicity in Wistar rats, Life Sci, vol.160, pp.72-83, 2016.

J. Rudnicka, T. Kowalkowski, T. Ligor, and B. Buszewski, Determination of volatile organic compounds as biomarkers of lung cancer by SPME-GC-TOF/MS and chemometrics, J. Chromatogr. B, vol.879, pp.3360-3366, 2011.

A. Fernandes, D. Mortimer, M. Rose, and M. Gem, Dioxins (PCDD/Fs) and PCBs in offal: Occurrence and dietary exposure, Chemosphere, vol.81, pp.536-540, 2010.

J. Maervoet, S. G. Chu, S. De-vos, A. Covaci, S. Voorspoels et al., Accumulation and tissue distribution of selected polychlorinated biphenyl congeners in chickens, Chemosphere, vol.57, pp.61-66, 2004.

T. Abaffy, R. Duncan, D. D. Riemer, O. Tietje, G. Elgart et al., Differential Volatile Signatures from Skin, Naevi and Melanoma: A Novel Approach to Detect a Pathological Process, PLoS One, vol.5, p.13813, 2010.

A. L. Donoho, R. J. Herberg, L. L. Zornes, and R. L. Vanduyn, Excretion and tissue distribution of C14-labeled monensin in chickens, J. Agric. Food Chem, vol.30, pp.909-913, 1982.

C. Wang, R. N. Feng, Y. Y. Li, Y. B. Zhang, Z. Kang et al., The metabolomic profiling of serum in rats exposed to arsenic using UPLC/Q-TOF MS, Toxicol. Lett, vol.229, pp.474-481, 2014.

C. S. Wang, R. Dong, X. Y. Wang, A. L. Lian, C. J. Chi et al., Exhaled volatile organic compounds as lung cancer biomarkers during one-lung ventilation, Sci Rep, vol.4, p.7312, 2014.

M. P. Hermo, J. Saurina, J. Barbosa, and D. Barron, High-resolution mass spectrometry applied to the study of metabolome modifications in various chicken tissues after amoxicillin administration, Food Chem, vol.153, pp.405-413, 2014.

E. M. Qannari, I. Wakeling, P. Courcoux, and H. J. Macfie, Defining the underlying sensory dimensions, Food Qual. Prefer, vol.11, pp.151-154, 2000.

T. Basak, S. Varshney, S. Akhtar, and S. Sengupta, Understanding different facets of cardiovascular diseases based on model systems to human studies: A proteomic and metabolomic perspective, J. Proteomics, vol.127, pp.50-60, 2015.

J. W. Allwood and R. Goodacre, An Introduction to Liquid Chromatography-Mass Spectrometry Instrumentation Applied in Plant Metabolomic Analyses, Phytochem. Anal, vol.21, pp.33-47, 2010.

Y. Tang, R. He, J. Zhao, G. Nie, L. Xu et al., Oxidative stress-induced toxicity of CuO nanoparticles and related toxicogenomic responses in Arabidopsis thaliana, p.212, 2016.

M. E. Benarbia, D. Macherel, S. Faure, C. Jacques, R. Andriantsitohaina et al., Plasmatic concentration of organochlorine lindane acts as metabolic disruptors in HepG2 liver cell line by inducing mitochondrial disorder, Toxicol. Appl. Pharmacol, vol.272, pp.325-334, 2013.

D. Arora, M. H. Siddiqui, P. K. Sharma, S. P. Singh, A. Tripathi et al., Evaluation and physiological correlation of plasma proteomic fingerprints for deltamethrininduced hepatotoxicity in Wistar rats, Life Sci, vol.160, pp.72-83, 2016.

S. Khatib, J. P. Finberg, F. Artoul, Y. Lavner, S. Mahmood et al.,

. Vaya, Analysis of volatile organic compounds in rats with dopaminergic lesion: Possible application for early detection of Parkinson's disease, Neurochem. Int, vol.76, pp.82-90, 2014.

T. Khalid, R. Aggio, P. White, B. Costello, R. Persad et al.,

. Ratcliffe, Urinary Volatile Organic Compounds for the Detection of Prostate Cancer, PLoS One, vol.10, 2015.

P. Berge, J. Ratel, A. Fournier, C. Jondreville, C. Feidt et al., Use of Volatile Compound Metabolic Signatures in Poultry Liver to Back-Trace Dietary Exposure to Rapidly Metabolized Xenobiotics, Environ. Sci. Technol, vol.45, pp.6584-6591, 2011.
URL : https://hal.archives-ouvertes.fr/hal-01019411

J. Bouhlel, J. Ratel, S. Abouelkaram, F. Mercier, A. Travel et al.,

P. Dervilly-pinel, B. L. Marchand, E. Bizec, S. Dubreil, E. Mompelat et al., Solid-phase microextraction set-up for the analysis of liver volatolome to detect livestock exposure to micropollutants, J. Chromatogr. A, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01534891

G. Musumarra and M. Fichera, Chemometrics and cultural heritage, Chemometrics Intell. Lab. Syst, vol.44, pp.363-372, 1998.

D. N. Rutledge and D. Jouan-rimbaud-bouveresse, Trac-Trends Anal. Chem, vol.50, pp.22-32, 2013.

D. N. Rutledge, D. Jouan-rimbaud-bouveresse, and C. To, Independent Components Analysis with the JADE algorithm, Trac-Trends Ananl. Chem, vol.67, p.220, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01349802

G. Mazerolles, M. F. Devaux, E. Dufour, E. M. Qannari, and P. Courcoux, Chemometric methods for the coupling of spectroscopic techniques and for the extraction of the relevant information contained in the spectral data tables, Chemometrics Intell. Lab. Syst, vol.63, pp.57-68, 2002.

J. Blackman, D. N. Rutledge, D. Tesic, A. Saliba, and G. R. Scollary, Examination of the potential for using chemical analysis as a surrogate for sensory analysis, Anal. Chim. Acta, vol.660, pp.2-7, 2010.

J. C. Martin, M. Maillot, G. Mazerolles, A. Verdu, B. Lyan et al.,

C. Junot, C. Guillou, D. Manach, D. Jabob, E. Jouan-rimbaud-bouveresse et al.,

F. Jourdan, F. Giacomoni, G. Courant, G. L. Fave, H. Gall et al.,

L. Antignac, M. Shintu, M. Defernez, M. C. Philo, M. J. Alexandre-gouaubau et al.,

M. N. Bossis, N. Triba, N. Stojilkovic, R. Banzet, R. Molinie et al.,

R. , Can we trust untargeted metabolomics? Results of the metabo-ring initiative, a large-scale, multi-instrument inter-laboratory study, Metabolomics, vol.11, pp.807-821, 2015.

R. and C. Pinto, R, Development of new chemometric methods-application to the spectroscopic characterisation of food quality, AgroParisTech, 2009.

H. Hotelling, Relations between two sets of variants, Biometrika, vol.28, pp.321-377, 1936.

P. Demartines and J. Hérault, The curvilinear component analysis, Int. Comput. Sci. Inst, 1996.

A. L. Henk, M. F. Kiersyoshio-takanejos, and . Ten-berge, The analysis of multitrait-multimethod matrices via constrained components analysis, Psychometrika, vol.61, pp.601-628, 1996.

A. Rosenfeld and J. L. Pfaltz, Sequential operations in digital picture processing, Journal of the ACM, vol.13, pp.471-494, 1966.

L. Bedini and E. Salerno, Extracting Astrophysical Sources from Channel-Dependent Convolutional Mixtures by Correlated Component Analysis in the Frequency Domain, 2007.

, Knowledge-Based Intelligent Information and Engineering Systems. KES, Lecture Notes in Computer Science, vol.4694, 2007.

Y. Xuefeng, Y. Juan, and Q. Feng, The feature-preserving map of high-dimensional complex chemical objects using non-linear map integrated with correlative component analysis, Chemometrics and Intelligent Laboratory Systems, vol.75, pp.13-22, 2005.

S. Wold, K. Esbensen, and P. Geladi, Principal Component Analysis, Chemometrics Intell. Lab. Syst, vol.2, pp.37-52, 1987.

G. Q. Wang, Q. Z. Ding, and Z. Y. Hou, Independent component analysis and its applications in signal processing for analytical chemistry, Trac-Trends Anal. Chem, vol.27, pp.368-376, 2008.

A. K. Smilde, M. J. Van-der-werf, S. Bijlsma, B. J. Van-der-werff-van-der-vat, and R. H. Jellema, Fusion of mass spectrometry-based metabolomics data, Anal. Chem, vol.77, pp.6729-6736, 2005.

J. Xu and S. R. Van-doren, Binding Isotherms and Time Courses Readily from Magnetic Resonance, Anal. Chem, vol.88, pp.8172-8178, 2016.

M. Hakim, Y. Y. Broza, O. Barash, N. Peled, M. Phillips et al., Volatile Organic Compounds of Lung Cancer and Possible Biochemical Pathways, Chem. Rev, vol.112, pp.5949-5966, 2012.

G. Ouyang and J. Pawliszyn, A critical review in calibration methods for solid-phase microextraction, Anal. Chim. Acta, vol.627, issue.2, pp.184-197, 2008.

C. L. Silva, M. Passos, and J. S. Camara, Investigation of urinary volatile organic metabolites as potential cancer biomarkers by solid-phase microextraction in combination with gas chromatography-mass spectrometry, Br. J. Cancer, issue.12, pp.1894-1904, 2011.

G. F. Ouyang, D. Vuckovic, and J. Pawliszyn, Nondestructive Sampling of Living Systems Using in Vivo Solid-Phase Microextraction, Chem. Rev, vol.111, issue.4, pp.2784-2814, 2011.

Y. P. Qi, L. P. Qu, Y. T. Wu, and G. R. Fan, A plasma metabonomic investigation into the intervention of volatile oil of Magnolia biondii Pamp on rat model of acute inflammation, J. Ethnopharmacol, vol.137, issue.1, pp.487-494, 2011.

E. M. Qannari, I. Wakeling, P. Courcoux, and H. J. Macfie, Defining the underlying sensory dimensions, Food Qual. Prefer, vol.11, pp.151-154, 2000.

S. Wold, K. Esbensen, and P. Geladi, Principal Component Analysis, Chemometrics Intell. Lab. Syst, vol.2, pp.37-52, 1987.

D. N. Rutledge and D. J. Bouveresse, Independent Components Analysis with the JADE algorithm, Trac-Trends Anal. Chem, vol.50, pp.22-32, 2013.
URL : https://hal.archives-ouvertes.fr/hal-01349802

A. K. Smilde, M. J. Van-der-werf, S. Bijlsma, B. J. Van-der-werff-van-der-vat, and R. H. Jellema, Fusion of mass spectrometry-based metabolomics data, Anal. Chem, issue.20, pp.6729-6736, 2005.

S. B. Barros, K. Simizu, and V. B. Junqueira, LIVER LIPID PEROXIDATION-RELATED PARAMETERS AFTER SHORT-TERM ADMINISTRATION OF HEXACHLOROCYCLOHEXANE ISOMERS TO RATS, Toxicol. Lett, vol.56, pp.137-144, 1991.

P. Berge, J. Ratel, A. Fournier, C. Jondreville, C. Feidt et al., Use of Volatile Compound Metabolic Signatures in Poultry Liver to Back-Trace Dietary Exposure to Rapidly Metabolized Xenobiotics, Environ. Sci. Technol, vol.45, pp.6584-6591, 2011.
URL : https://hal.archives-ouvertes.fr/hal-01019411

A. Bernard, Renal dysfunction induced by cadmium: biomarkers of critical effects, Biometals, vol.17, pp.519-523, 2004.

J. Bouhlel, J. Ratel, S. Abouelkaram, F. Mercier, A. Travel et al., Solid-phase microextraction set-up for the analysis of liver volatolome to detect livestock exposure to micropollutants, J. Chromatogr. A, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01534891

B. Buszewski, A. Ulanowska, T. Kowalkowski, and K. Cieslinski, Investigation of lung cancer biomarkers by hyphenated separation techniques and chemometrics, Clin. Chem. Lab. Med, vol.50, pp.573-581, 2012.

R. A. Charvat and G. Arrizabalaga, Oxidative stress generated during monensin treatment contributes to altered Toxoplasma gondii mitochondrial function, 2016.

C. Chen, F. J. Gonzalez, and J. R. Idle, LC-MS-based metabolomics in drug metabolism, Drug Metab. Rev, vol.39, pp.581-597, 2007.

S. Danicke, K. H. Ueberschar, I. Halle, S. Matthes, H. Valenta et al., Effect of addition of a detoxifying agent to laying hen diets containing uncontaminated or Fusarium toxincontaminated maize on performance of hens and on carryover of zearalenone, Poult. Sci, vol.81, pp.1671-1680, 2002.

S. De-baere, P. Wassink, S. Croubels, S. De-boever, K. Baert et al., Quantitative liquid chromatographic-mass spectrometric analysis of amoxycillin in broiler edible tissues, Anal. Chim. Acta, vol.529, pp.221-227, 2005.

R. T. Digiulio and P. F. Scanlon, SUBLETHAL EFFECTS OF CADMIUM INGESTION ON MALLARD DUCKS. Arch. Environ. Contam. Toxicol, vol.13, pp.765-771, 1984.

A. L. Donoho, R. J. Herberg, L. L. Zornes, and R. L. Vanduyn, EXCRETION AND TISSUE DISTRIBUTION OF C-14-LABELED MONENSIN IN CHICKENS, J. Agric. Food Chem, vol.30, pp.909-913, 1982.

A. Fernandes, D. Mortimer, M. Rose, and M. Gem, Dioxins (PCDD/Fs) and PCBs in offal: Occurrence and dietary exposure, Chemosphere, vol.81, pp.536-540, 2010.

W. Filipiak, A. Sponring, A. Filipiak, C. Ager, J. Schubert et al., TD-GC-MS Analysis of Volatile Metabolites of Human Lung Cancer and Normal Cells In vitro, Cancer Epidemiol. Biomarkers Prev, vol.19, pp.182-195, 2010.

J. F. Focant, Dioxin food crises and new POPs: challenges in analysis, Anal. Bioanal. Chem, vol.403, pp.2797-2800, 2012.

P. Fuchs, C. Loeseken, J. K. Schubert, and W. Miekisch, Breath gas aldehydes as biomarkers of lung cancer, Int. J. Cancer, vol.126, pp.2663-2670, 2010.

G. Dervilly-pinel, T. G. Brice-minvielle, A. Travel, J. Normand, M. Bourin et al., Micropollutants and chemical residues in organic and conventional meat, Food Chem, vol.232, pp.218-228, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01534844

M. Hakim, Y. Y. Broza, O. Barash, N. Peled, M. Phillips et al., Volatile Organic Compounds of Lung Cancer and Possible Biochemical Pathways, Chem. Rev, vol.112, pp.5949-5966, 2012.

T. Kuipergoodman, P. M. Scott, and H. Watanabe, RISK ASSESSMENT OF THE MYCOTOXIN ZEARALENONE, Regul. Toxicol. Pharmacol, vol.7, pp.253-306, 1987.

P. Mocarelli, P. M. Gerthoux, D. G. Patterson, S. Milani, G. Limonta et al., Dioxin exposure, from infancy through puberty, produces endocrine disruption and affects human semen quality, Environ. Health Perspect, vol.116, pp.70-77, 2008.

P. Mochalski, J. King, M. Haas, K. Unterkofler, A. Amann et al., Blood and breath profiles of volatile organic compounds in patients with end-stage renal disease, BMC Nephrol, vol.15, 2014.

V. I. Petropulos, E. Bogeva, T. Stafilov, M. Stefova, B. Siegmund et al., Study of the influence of maceration time and oenological practices on the aroma profile of Vranec wines, Food Chem, vol.165, pp.506-514, 2014.

M. Phillips, R. N. Cataneo, C. Saunders, P. Hope, P. Schmitt et al., Volatile biomarkers in the breath of women with breast cancer, J. Breath Res, vol.4, 2010.

E. M. Qannari, I. Wakeling, P. Courcoux, and H. J. Macfie, Defining the underlying sensory dimensions, Food Qual. Prefer, vol.11, pp.151-154, 2000.

J. Renugadevi and S. M. Prabu, Quercetin protects against oxidative stress-related renal dysfunction by cadmium in rats, Exp. Toxicol. Pathol, vol.62, pp.471-481, 2010.

S. and P. O. , f.f.c.i.t.M.R.e.B., Interactions, Assemblage, 2008.

W. Saitoh, S. Yamauchi, K. Watanabe, W. Takasaki, and K. Mori, Metabolomic analysis of arginine metabolism in acute hepatic injury in rats, J. Toxicol. Sci, vol.39, pp.41-50, 2014.

M. G. Theumer, M. C. Canepa, A. G. Lopez, V. S. Mary, J. S. Dambolena et al., Subchronic mycotoxicoses in Wistar rats: Assessment of the in vivo and in vitro genotoxicity induced by fumonisins and aflatoxin B-1, and oxidative stress biomarkers status, Toxicology, vol.268, pp.104-110, 2010.

M. Venkataramana, S. C. Nayaka, T. Anand, R. Rajesh, M. Aiyaz et al., Zearalenone induced toxicity in SHSY-5Y cells: The role of oxidative stress evidenced by N-acetyl cysteine, Food Chem. Toxicol, vol.65, pp.335-342, 2014.

C. Wang, R. N. Feng, Y. Y. Li, Y. B. Zhang, Z. Kang et al., The metabolomic profiling of serum in rats exposed to arsenic using UPLC/Q-TOF MS, Toxicol. Lett, vol.229, pp.474-481, 2014.

X. Wang, Q. H. Wu, D. Wan, Q. Y. Liu, D. M. Chen et al., Fumonisins: oxidative stress-mediated toxicity and metabolism in vivo and in vitro, Arch. Toxicol, vol.90, pp.81-101, 2016.

M. B. Wilk, Gnanades.R, 1968. PROBABILITY PLOTTING METHODS FOR ANALYSIS OF DATA, Biometrika, vol.55, p.1

M. Hakim, Y. Y. Broza, O. Barash, N. Peled, M. Phillips et al., Volatile Organic Compounds of Lung Cancer and Possible Biochemical Pathways, Chem. Rev, vol.2012, issue.11, pp.5949-5966

M. Alonso, M. Castellanos, and J. M. Sanchez, Evaluation of matrix effects in the analysis of volatile organic compounds in whole blood with solid-phase microextraction, J Sep Sci, vol.36, pp.3776-82, 2013.

S. Andree, W. Jira, K. H. Schwind, H. Wagner, and F. Schwagele, Chemical safety of meat and meat products, Meat Sci, vol.86, pp.38-48, 2010.

P. Berge, J. Ratel, A. Fournier, C. Jondreville, C. Feidt et al., Use of Volatile Compound Metabolic Signatures in Poultry Liver to Back-Trace Dietary Exposure to Rapidly Metabolized Xenobiotics, Environ. Sci. Technol, vol.45, pp.6584-6591, 2011.
URL : https://hal.archives-ouvertes.fr/hal-01019411

A. Bernard, Renal dysfunction induced by cadmium: biomarkers of critical effects, Biometals, vol.17, pp.519-523, 2004.

B. C. Blount, R. J. Kobelski, D. O. Mcelprang, D. L. Ashley, J. C. Morrow et al., Quantification of 31 volatile organic compounds in whole blood using solid-phase microextraction and gas chromatography-mass spectrometry, J. Chromatogr. B, vol.832, pp.292-301, 2006.

I. Calejo, N. Moreira, A. M. Araujo, M. Carvalho, M. D. Bastos et al., Optimisation and validation of a HS-SPME-GC-IT/MS method for analysis of carbonyl volatile compounds as biomarkers in human urine: Application in a pilot study to discriminate individuals with smoking habits, Talanta, vol.148, pp.486-493, 2016.

C. B. Cordella, T. Tekye, D. N. Rutledge, and R. Leardi, A multiway chemometric and kinetic study for evaluating the thermal stability of edible oils by H-1 NMR analysis: Comparison of methods, Talanta, vol.88, pp.358-368, 2012.

S. Danicke, K. H. Ueberschar, I. Halle, S. Matthes, H. Valenta et al., Effect of addition of a detoxifying agent to laying hen diets containing uncontaminated or Fusarium toxin-contaminated maize on performance of hens and on carryover of zearalenone, Poult. Sci, vol.81, pp.1671-1680, 2002.

A. L. Donoho, R. J. Herberg, L. L. Zornes, and R. L. Vanduyn, EXCRETION AND TISSUE DISTRIBUTION OF C-14-LABELED MONENSIN IN CHICKENS, J. Agric. Food Chem, vol.30, pp.909-913, 1982.

A. Fernandes, D. Mortimer, M. Rose, and M. Gem, Dioxins (PCDD/Fs) and PCBs in offal: Occurrence and dietary exposure, Chemosphere, vol.81, pp.536-540, 2010.

P. Filzmoser and B. Walczak, What can go wrong at the data normalization step for identification of biomarkers?, J. Chromatogr. A, vol.1362, pp.194-205, 2014.

J. F. Focant, Dioxin food crises and new POPs: challenges in analysis, Anal. Bioanal. Chem, vol.403, pp.2797-2800, 2012.

M. Hakim, Y. Y. Broza, O. Barash, N. Peled, M. Phillips et al., Volatile Organic Compounds of Lung Cancer and Possible Biochemical Pathways, Chem. Rev, vol.112, pp.5949-5966, 2012.

P. P. Han, S. R. Jia, Y. Sun, Z. L. Tan, C. Zhong et al., Metabolomic approach to optimizing and evaluating antibiotic treatment in the axenic culture of cyanobacterium Nostoc flagelliforme, World J. Microbiol. Biotechnol, vol.30, pp.2407-2418, 2014.

O. Hrydziuszko and M. R. Viant, Missing values in mass spectrometry based metabolomics: an undervalued step in the data processing pipeline, Metabolomics, vol.8, pp.161-174, 2012.

T. Kuipergoodman, P. M. Scott, and H. Watanabe, RISK ASSESSMENT OF THE MYCOTOXIN ZEARALENONE, Regul. Toxicol. Pharmacol, vol.7, pp.253-306, 1987.

M. E. Martucci, R. C. De-vos, C. A. Carollo, and L. Gobbo-neto, Metabolomics as a Potential Chemotaxonomical Tool: Application in the Genus Vernonia Schreb, PLoS One, vol.9, 2014.

M. Phillips, R. N. Cataneo, C. Saunders, P. Hope, P. Schmitt et al., Volatile biomarkers in the breath of women with breast cancer, J. Breath Res, vol.4, 2010.

E. M. Qannari, I. Wakeling, P. Courcoux, and H. J. Macfie, Defining the underlying sensory dimensions, Food Qual. Prefer, vol.11, pp.151-154, 2000.

C. L. Silva, M. Passos, and J. S. Camara, Investigation of urinary volatile organic metabolites as potential cancer biomarkers by solid-phase microextraction in combination with gas chromatography-mass spectrometry, Br. J. Cancer, vol.105, pp.1894-1904, 2011.

B. Sun, M. Zhang, Q. Zhang, K. P. Ma, H. J. Li et al., Metabonomics study of the effects of pretreatment with glycyrrhetinic acid on mesaconitineinduced toxicity in rats, J. Ethnopharmacol, vol.154, pp.839-846, 2014.

, Après l'abattage des animaux, les tissus ont été prélevés de la carcasse des animaux, immergés directement dans l'azote liquide

, Les tissus adipeux ont été broyés sous azote liquide pendant 2 min en poudre homogène, vol.1, p.2

, Les COVs ont été extraits des tissus adipeux des animaux exposés et non-exposés aux contaminants par micro-extraction sur phase solide (SPME) selon le protocole révisé par Bouhlel, 2017.

, Brièvement, les échantillons à analyser sont décongelés pendant 24h

4. , Japan est utilisé pour assurer les étapes suivantes : (i) pré-chauffage des échantillons pendant 10 min à 40°C sous agitation constante à 500 rpm, (ii) extraction des échantillons par une fibre 75 µM carboxen/polydimethylsiloxane (CAR/PDMS, 23 gauge needle, Supelco) pendant 30 min à 40°C et (iii) une désorption des, Un système d'analyse AOC-5000

, une colonne Rxi-5SilMS (60 m x 0.32 mm I.D x 1 µm film thickness) (Restek

N. Nih, Les aires des pics sont intégrés par un programme automatique développé sur Matlab, vol.7, 2014.

, La matrice des données correspond à n tables qui correspondent aux COVs extraits des signaux SPME-GC-MS dans les 95 échantillons de tissus adipeux analysés. D'abord, le modèle ACC est appliqué sur l'ensemble des groupes, p.95

. Ensuite, ACC est performée séparément entre le groupe témoin et chaque exposé, p.24

. Matlab, USA) est utilisé pour le traitement des données REFERENCES, The MathWorks, 2007.

E. Engel and J. Ratel, Correction of the data generated by mass spectrometry analyses of biological tissues: Application to food authentication, J. Chromatogr. A, pp.331-341, 2007.

G. Sivadier, J. Ratel, F. Bouvier, and E. Engel, Authentication of Meat Products: Determination of Animal Feeding by Parallel GC-MS Analysis of Three Adipose Tissues, J. Agric. Food Chem, vol.56, issue.21, pp.9803-9812, 2008.

G. Sivadier, J. Ratel, and E. Engel, Persistence of pasture feeding volatile biomarkers in lamb fats, Food Chem, vol.118, issue.2, pp.418-425, 2010.

M. Narvaez-rivas, E. Gallardo, J. J. Rios, and M. Leon-camacho, A tentative characterization of volatile compounds from Iberian Dry-Cured Ham according to different anatomical locations. A detailed study, Grasas Aceites, issue.4, pp.369-377, 2010.

J. P. Arrebola, M. Fernandez-rodriguez, F. Artacho-cordon, C. Garde, F. Perez-carrascosa et al., Associations of persistent organic pollutants in serum and adipose tissue with breast cancer prognostic markers, Sci. Total Environ, vol.566, pp.41-49, 2016.

J. Bouhlel, J. Ratel, S. Abouelkaram, F. Mercier, A. Travel et al., Solid-phase microextraction set-up for the analysis of liver volatolome to detect livestock exposure to micropollutants, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01534891

M. Hakim, Y. Y. Broza, O. Barash, N. Peled, M. Phillips et al., Volatile Organic Compounds of Lung Cancer and Possible Biochemical Pathways, Chem. Rev, vol.2012, issue.11, pp.5949-5966

M. T. Jafari, M. Saraji, and A. H. Ameri, Coupling of solid phase microextraction with electrospray ionization ion mobility spectrometry and direct analysis of venlafaxine in human urine and plasma, Anal. Chim. Acta, vol.853, pp.460-468, 2015.

Q. Zhang, L. Zhou, H. Chen, C. Wang, Z. Xia et al., Solid-phase microextraction technology for in vitro and in vivo metabolite analysis, TrAC Trends in Analytical Chemistry, vol.80, pp.57-65, 2016.

S. Risticevic and J. Pawliszyn, Solid-Phase Microextraction in Targeted and Nontargeted Analysis: Displacement and Desorption Effects, Anal. Chem, issue.19, pp.8987-8995, 2013.

M. Hakim, Y. Y. Broza, O. Barash, N. Peled, M. Phillips et al., Volatile Organic Compounds of Lung Cancer and Possible Biochemical Pathways, Chem. Rev, vol.2012, issue.11, pp.5949-5966