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3. Apport de l'imagerie multispectrale au suivi du fractionnement du grain de blé à l'échelle histologique

Author

Barron, Cecile, Devaux, M.F., Guillon, Fabienne, Lullien-Pellerin, Valérie, Ingénierie des Agro-polymères et Technologies Émergentes (UMR IATE), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Université de Montpellier (UM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Unité de recherche sur les Biopolymères, Interactions Assemblages (BIA), and Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)

Subjects
[SDV.IDA]Life Sciences [q-bio]/Food engineering, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2021

4. [O10.01] Localization of minerals and phenolic compounds in apple fruit

Author

Vidot, K, Rivard, C, Devaux, M.F., Jamme, Frédéric, Gaillard, Cedric, Siret, René, Lahaye, Marc, Lahaye, Marc, Unité de recherche sur les Biopolymères, Interactions Assemblages (BIA), Institut National de la Recherche Agronomique (INRA), Synchrotron SOLEIL (SSOLEIL), Centre National de la Recherche Scientifique (CNRS), and Ecole supérieure d'Agricultures d'Angers (ESA)

Subjects
[SDV] Life Sciences [q-bio], [SDV]Life Sciences [q-bio], ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2018

8. MRI study of apple parenchyma microstructure – link with mechanical properties

Author

Winisdorffer, G., Musse, Maja, Quellec, S., Barbacci, Adelin, Devaux, M.F., Mariette, François, Lahaye, Marc, Technologie des équipements agroalimentaires (UR TERE), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), and Institut National de la Recherche Agronomique (INRA)

Subjects
[SDE]Environmental Sciences, food and beverages
Abstract

International audience; Quantitative Magnetic Resonance Imaging (MRI) is an appropriate non-destructive tool for studying plants. The transverse relaxation time (T2), which is related to the water status in samples (i.e. water content, water mobility and interaction between water and macromolecules), was revealed relevant for studying plant microstructure. Recent developments [1] allow accessing multi-exponential transverse relaxation of water protons, providing data about water repartition and status at subcellular level. Apparent microporosity in fruit tissues can also be estimated by MRI [2], providing additional information about gas distribution. The first aim of this study was to characterise the heterogeneity of apple fruit tissues according to cell water status and gas distribution. MRI and histological macrovision measurements were performed on fruits from three different cultivars; fruits of different sizes were selected for each cultivar to provide tissues with cells of different dimensions. This study highlighted the heterogeneity of apple tissues in terms of relaxation parameters, apparent microporosity and cell morphology. Variations in cell size partially explained the different T2 observed. The second aim of the study was to investigate the link between cell water characteristics, apparent tissue microporosity and biochemical analyses and mechanical properties reflecting fruit texture quality. Correlations between the measurements were studied for six apple cultivars with storage times varying from one to six months. A general behaviour patterns independent of cultivar and storage time were demonstrated, providing understanding of the parameters involved in mechanical properties.

Published
2015

9. Quantitatiovr MRI in the assessment of apple texture

Author

Winisdorffer, G.., Musse, Maja, Quellec, S., Barbacci, Adelin, Devaux, M.F., Mariette, François, Lahaye, Marc, Technologie des équipements agroalimentaires (UR TERE), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), and Institut National de la Recherche Agronomique (INRA)

Subjects
FRUIT, [SDE]Environmental Sciences, PROPRIÉTÉS MÉCHANIQUES, IRM
Abstract

International audience; Microstructural characteristics at the basis of fleshy fruit texture variations are difficult to assess instrumentally. New developments in quantitative MRI allow localizing water status and distribution at the subcellular level [1] and mapping the apparent microporosity [2] in fruit. In this study, these methods were used to assess the contributions of these variables in Granny-Smith (GS), Ariane (AR), Fuji (FU), EC (experimental cultivar), Florina (FL) and Rome-Beauty (RB) apple texture along with mechanical and cell wall chemical analysis. MRI measurements were carried out on a 1.5T clinical scanner. Storage modulus (E’) and dampening factor (Tan∂) of apple parenchyma samples were measured by Dynamic Mechanical Analysis. Water, free sugar and alcohol-insoluble solids were quantified and cell wall polysaccharides characterized. Results were analyzed using PCA and ANOVA tests. The T2 relaxation decay was fitted by a tri-exponential curve (T21~25ms; T22~125ms and T23~500ms). Both T2 and microporosity maps revealed parenchyma heterogeneity. PCA allowed classifying apple varieties into two groups: G1 (GS, AR and FU) characterized by higher T22, T23 and E’ and G2 (FL, RB and EC) with higher microporosity, Tan∂ and T21-associated amplitude. Apple flesh rigidity (~E’) was inversely related to microporosity. RB and FL from G2, defined as mealy fruits, had T2 agreeing with those reported for this texture defect [3] and revealed a link between mealiness and Tan∂. The cell wall polysaccharide chemistry underlying these characteristics will be presented. The clear relations established by quantitative MRI between parenchyma tissue microporosity and water status with apple texture make this technique a highly valuable non-destructive tool for fruit quality assessment. [1] Adriaensen et.al, Magn Reson Imaging, DOI:10.1016/j.mri.2013.02.004 (2013); [2] Musse et al., Magn Reson Imaging, 28, 1525-34 (2010); [3] Barreiro et al., Appl Magn Reson 22, 387-400 (2002)

Published
2014

10. Investigation of apple parenchyma microstructure using MRI multi-exponential T2 relaxation and microporosity measurements

Author

Winisdorffer, G., Musse, Maja, Quellec, S., Devaux, M.F., Lahaye, Marc, Mariette, François, Université de Bretagne Occidentale, Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Biopolymeres, Interactions, Assemblages, Institut National de la Recherche Agronomique (INRA), Unité de recherche sur les Biopolymères, Interactions Assemblages (BIA), Technologie des équipements agroalimentaires (UR TERE), UNIVERSITE EUROPEENNE DE BRETAGNE FRA, Partenaires IRSTEA, and Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)

Subjects
IRM QUANTITATIVE, MICROSTRUCTURE DE LA POMME, [SDE]Environmental Sciences, [SDV.IDA]Life Sciences [q-bio]/Food engineering, MICROPOROSITE, [SPI.GPROC]Engineering Sciences [physics]/Chemical and Process Engineering, RELAXATION MULTI EXPONENTIELLE, IRM
Abstract

International audience; Introduction Quantitative Magnetic Resonance Imaging is an appropriate non-destructive tool to study fruit microstructure [1]. Recent developments [2] allow accessing spatially resolved multi-exponential relaxation of water protons in the intact fruit, providing insights on water status and distribution at the subcellular level. Microporosity distribution in fruit tissues can also be estimated by MRI [3], offering additional information about gas distribution. For the first time, MRI multi-exponential T2 and apparent microporosity were used to investigate the effects of fruit heterogeneity and cell size for different apple cultivars. The MRI data were related to histological measurements. The general objective was to provide a multi-scale approach for apple tissue characterization. Material & Methods Experiments were performed 2-weeks after harvest on Granny Smith, Ariane, Fuji apples and an experimental cultivar (EC). Apples were calibrated as 3 groups: c1, about 120 cm3, c2 about xx cm3 and c3, about 290 cm3. MRI measurements were carried out on a 1.5T MRI scanner (Avanto, Siemens). The 5 mm median planes of fruit were imaged with a pixel size = 1.19 mm² and a TR = 10 s. T2 was obtained from a 512-echoes MSE sequence with ΔTE = 7.1 ms. T2*, used with T2 for microporosity estimation, was obtained from GE sequences with TE1 = 2.77 ms and ΔTE = 1.61 ms. Cell size distribution was estimated on same samples from macrovision images using an erosion/dilation method [4]. Results Apple T2 decay was well fitted by a tri-exponential decay curve with T2 about 15-26 ms, 85-135 ms and 360-550 ms and associated relative intensities about 10, 20 and 70 % respectively. The study of heterogeneity of parenchyma revealed that from outer (near the cuticle) to inner (near the core) regions, relaxation times decreased up to 20% and subcellular water distribution was slightly different. In contrast, microporosity was shown to increase of up to 28 % (see fig. 1). T2 measurements of Fuji apple s of calibers c1 and c3 showed variations only for the longest vacuolar T2 component from 423 ± 25 ms to 469 ± 20 ms, respectively. Cell size distributions, obtained by macrovision, showed larger cells in big apples thus linking cell size to T2 relaxation time. Microporosity increased from 33 ± 3% for small fruits to 39 ± 2 % for big apples. Differences between cultivars of the same caliber were observed. For example, EC had higher porosity and lower relaxation times and Granny Smith had a less heterogeneous parenchyma than other cultivars. Size-contrasted fruits permitted to highlight cell size influence on multi-T2 relaxation time. In apple cortex, T2 relaxation time increased with distance to the core even if apparent microporosity increased. This work showed that MRI can differentiate apple cultivars according to their T2 and microporosity spatial distribution. References [1] Van As, H. and J. van Duynhoven, Journal of Magnetic Resonance, 2013. 229: p. 25-34.. [2] Adriaensen H, et al, Magnetic Resonance Imaging, 2013. [3] Musse, M., et al., Magnetic Resonance Imaging, 2010. 28(10): p. 1525-34 [4] Devaux, M.-F., et al., Postharvest Biology and Technology, 2008. 47(2): p. 199-209

Published
2013

11. Characterisation of apple microstructure using quantitative MRI

Author

Winisdorffer, G., Musse, Maja, Quellec, S., Devaux, M.F., Lahaye, Marc, Mariette, François, Université de Bretagne Occidentale, Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Unité de recherche sur les Biopolymères, Interactions Assemblages (BIA), Institut National de la Recherche Agronomique (INRA), and Technologie des équipements agroalimentaires (UR TERE)

Subjects
IRM QUANTITATIVE, MICROSTRUCTURE DE LA POMME, [SDE]Environmental Sciences, [SDV.BV]Life Sciences [q-bio]/Vegetal Biology, RELAXATION MULTI EXPONENTIELLE, IRM
Abstract

International audience; Introduction. Quantitative Magnetic Resonance Imaging is an appropriate non-destructive tool to study plants microstructure. Recent developments allow accessing multi-exponential relaxation of water protons, furnishing data about water repartition inside cells. Microporosity in fruit tissues can also be estimated by MRI, providing additional information about gas distribution. The present study aims to provide a better understanding of the microstructure and micro-heterogeneities of apple, for the first time by applying multi-exponential relaxation models to spatially resolved MRI data. Experiments were performed on fruits of different size combining MRI multi-exponential T2 and microporosity quantification with histological measurements. Methods. Experiments were performed on 7 small (~130g) and 7 big (~300g) apples, variety Jonagored. MRI measurements were carried out on a 1.5T MRI scanner (Avanto, Siemens). The 5mm median planes of fruit were imaged with a pixel size=1.19mm² and a TR=10s. T2 was obtained from a 512echo MSE sequence with ΔTE=7.1ms. T2*, used with T2 for porosity estimation, was obtained from GE sequences with TE1=2.77ms and ΔTE=1.61ms. Analyses were focused on the inner cortex, near the core and on the outer cortex, near the cuticle. Cell size distribution was estimated on same samples from macrovision images using an erosion/dilation method. Results;Apple T2 decay was well fitted by a tri-exponential decay curve: T2 were about 50, 150 and 450ms and relative intensities about 5, 20 and 75% respectively. T2 measurements in outer cortex of small and big apples showed variations only for the longest T2 component from 423±25ms to 469±20ms respectively; relative intensities being similar (76±1%). Cell size distributions, obtained by macrovision, showed larger cells in big apples thus linking cell size to T2 relaxation time. Microporosity also increased from 22±4% for small fruits to 28±1% for big apples. Variations between inner and outer cortex were also studied. Microporosity increased from 25±3% (inner) to 34±4% (outer) and the longest T2 relaxation time was 454±21ms in the inner cortex and 512±30ms in the outer cortex. Using size-contrasted fruits permitted to highlight cell size influence on multi-T2 relaxation time. In apple cortex, longest T2 relaxation time was found to increase with distance to the core. Unexpectedly, T2 time increased while microporosity increased showing other factors affecting T2 remain to be investigated.

Published
2013

12. Towards a sorghum ideotype with optimized cell wall degradability: insights from degradation kinetics, histological, biochemical, and pre-treatment analyses

Author

Pot, David, Méchin, Valérie, Chabbert, Brigitte, Devaux, M.F., Jouanin, Lise, Bastianelli, Denis, Trouche, Gilles, Guillon, F., Saulnier, L., Maleyrat, Julien, Cezard, L., Legée, F., Lapierre, Catherine, Pollet, Brigitte, Culhaoglu, T., Citerne, Sylvie, Mouille, Gregory, Aubry, N., Crônier, D., Rémond, C., Bonnal, Laurent, Looten, R., Hélary, L., Prévot, M., and Barrière, Yves

Subjects
food and beverages
Abstract

In addition to being the fifth cereal in terms of grain production, the interest of sorghum as a feed and energy crop is increasingly underlined. Selection of sorghum genotypes for fodder and energy production relies on an in-depth understanding of stem tissue organization and cell wall characteristics variability. Although histological analyses of two genotypes harboring contrasting stem diameter revealed similar tissue organizations and cell sizes, their kinetics of biomass degradation when treated with enzymatic cocktails were different, the largest stem diameter genotype presenting a faster degradation with a lower percentage of monosaccharide solubilised, suggesting differences in soluble sugar content and cell wall polymer content and accessibility. According to these results we then focus our attention on the cell wall composition. From a previous characterization of 410 sorghum accessions using near infrared reflectance spectroscopy, a panel of 13 genotypes maximizing the diversity of cell wall properties were subjected to FTIR analyses, klason lignin and p-hydroxycinnamic acids contents measurement, and determination of lignin monomeric composition. In parallel, saccharification efficiency of the cell walls was evaluated. These analyses revealed a significant genetic variability of cell wall saccharification yield which has been associated with the variability of the lignin content in the cell wall, the S monomers content in the uncondensed lignin part and the concentration in esterified p-coumaric acid. Finally, addition of an Alkali pre-treatment before the enzymatic treatment showed significant improvement of cell wall saccharification yield but contrasting responses of the genotypes analyzed in terms of final yield and degree of improvement.

Published
2011

13. French bread loaf volume variations and digital image analysis of crumb grain changes induced by the minor components of wheat flour

Author

Rouillé, J., Della Valle, Guy, Devaux, M.F., Marion, Didier, Dubreil, Laurence, Unité de recherche sur les Biopolymères, Interactions Assemblages (BIA), Institut National de la Recherche Agronomique (INRA), and ProdInra, Migration

Subjects
STRUCTURE, VARIATION, [SDV.BBM.BC] Life Sciences [q-bio]/Biochemistry, Molecular Biology/Biochemistry [q-bio.BM], [SDV.BBM.BC]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Biomolecules [q-bio.BM]
Published
2005

14. Development of an in vitro system simulating bucco-gastric digestion to assess the physical and chemical changes of food

Author

HOEBLER, Christine, LECANNU, G., Belleville, Claire, Devaux, M.F., Barry, J.L., ProdInra, Migration, Unité de recherche Fonctions Digestives et de Nutrition Humaines (UFDNH), Institut National de la Recherche Agronomique (INRA), and Laboratoire de biochimie et technologie des glucides

Subjects
[SDV] Life Sciences [q-bio], SYSTEME BUCCO-GASTRIQUE, [SDV]Life Sciences [q-bio], ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2002

15. Simultaneous decomposition of multivariate images using three-way data analysis. Application to the comparison of cereal grains by confocal laser scanning microscopy

Author

Courcoux, Philippe, Devaux, M.F., Bouchet, Brigitte, ProdInra, Migration, Laboratoire de biochimie et technologie des glucides, and Institut National de la Recherche Agronomique (INRA)

Subjects
[INFO.INFO-IA]Computer Science [cs]/Computer Aided Engineering, [INFO.INFO-IA] Computer Science [cs]/Computer Aided Engineering
Published
2002

16. Relations entre l'analyse sensorielle de la texture de fromages à pâte molle et l'imagerie par résonance magnétique nucléaire et microscopie confocale

Author

Devaux, M.F., Collewet, G., Herbert, S., Mariette, François, Riaublanc, Alain, Bouchet, Brigitte, Fortier, P., Laboratoire de biochimie et technologie des glucides, Institut National de la Recherche Agronomique (INRA), and Laboratoire d'étude des interactions des molécules alimentaires

Subjects
[SDV]Life Sciences [q-bio], IMAGERIE, ComputingMilieux_MISCELLANEOUS, IRM
Abstract

National audience

Published
2000

17. Chimiométrie appliquée à la spectroscopie infrarouge. Méthodes prédictives

Author

Vigneau, Evelyne, Qannari, E.M., Devaux, M.F., Laboratoire de biochimie et technologie des glucides, Institut National de la Recherche Agronomique (INRA), D. Bertrand (Editeur), E. Dufour (Editeur), and ProdInra, Migration

Subjects
[SDV] Life Sciences [q-bio], [SDV]Life Sciences [q-bio], SPECTROMETRIE IR
Abstract

chap. 12

Published
2000

18. Particle size of solid food after human mastication and in vitro simulation of oral breakdown

Author

HOEBLER, Christine, Devaux, M.F., Karinthi, A., Belleville, Claire, Barry, J.L., Unité de recherche Fonctions Digestives et de Nutrition Humaines (UFDNH), Institut National de la Recherche Agronomique (INRA), Laboratoire de biochimie et technologie des glucides, and ProdInra, Migration

Subjects
[SDV] Life Sciences [q-bio], [SDV]Life Sciences [q-bio], ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2000

19. Identification by fluorescence spectroscopy and confocal microscopy of soft cheeses exhibiting different textures

Author

Herbert, S., Devaux, M.F., Bouchet, Brigitte, Riaublanc, Alain, Mouhous-Riou, N., Gallant, D.J., Dufour, E., Laboratoire d'étude des interactions des molécules alimentaires, Institut National de la Recherche Agronomique (INRA), Laboratoire de biochimie et technologie des glucides, and ProdInra, Migration

Subjects
[SDV] Life Sciences [q-bio], [SDV]Life Sciences [q-bio], ComputingMilieux_MISCELLANEOUS
Abstract

National audience

Published
1999

20. Quantification of milk gel microstructure using confocal laser scanning microsocpy and image analysis

Author

Herbert, S., Bouchet, Brigitte, Riaublanc, Alain, Dufour, E., Gallant, D.J., Devaux, M.F., Laboratoire d'étude des interactions des molécules alimentaires, Institut National de la Recherche Agronomique (INRA), Laboratoire de biochimie et technologie des glucides, and ProdInra, Migration

Subjects
[SDV] Life Sciences [q-bio], [SDV]Life Sciences [q-bio], ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
1999

22. Physical and chemical degradation of solid food in the stomach of pigs, used as a human model

Author

Hoebler, Christine, Cherbut, Christine, Devaux, M.F., Lecannu, G., Malbert, Charles-Henri, Laplace, J.P., Barry, J.L., Laboratoire de technologie appliquée à la nutrition, Institut National de la Recherche Agronomique (INRA), Laboratoire de biochimie et technologie des glucides, and ProdInra, Migration

Subjects
[SDV.AEN] Life Sciences [q-bio]/Food and Nutrition, [SDV.AEN]Life Sciences [q-bio]/Food and Nutrition
Abstract

Résumé; International audience

Published
1998

23. Dégradation physique et chimique d'aliments solides dans l'estomac du porc, pris comme modèle de l'homme

Author

HOEBLER, Christine, Cherbut, Christine, Devaux, M.F., LECANNU, G., Malbert, Charles-Henri, LAPLACE, J.P., Barry, J.L., ProdInra, Migration, Laboratoire de technologie appliquée à la nutrition, Institut National de la Recherche Agronomique (INRA), and Laboratoire de biochimie et technologie des glucides

Subjects
[SDV.AEN] Life Sciences [q-bio]/Food and Nutrition, [SDV.AEN]Life Sciences [q-bio]/Food and Nutrition, ComputingMilieux_MISCELLANEOUS
Abstract

National audience

Published
1998

24. Size of particles of bread and pasta emptied from the stomach of pigs, used as human models

Author

HOEBLER, Christine, Cherbut, Christine, Devaux, M.F., LECANNU, G., Malbert, Charles-Henri, LAPLACE, J.P., Barry, J.L., Laboratoire de technologie appliquée à la nutrition, Institut National de la Recherche Agronomique (INRA), and Station de recherches porcines

Subjects
[SDV]Life Sciences [q-bio], VIDANGE STOMACALE, ComputingMilieux_MISCELLANEOUS, TAILLE DES PARTICULES
Abstract

National audience

Published
1997

26. Size of particles and level of starch and protein digestion of solid food emptied from the stomach of pigs used as human models

Author

Hoebler, Christine, Cherbut, Christine, Devaux, M.F., Lecannu, G., Malbert, Charles-Henri, Laplace, J.P., Barry, J.L., ProdInra, Migration, Station de recherches porcines, and Institut National de la Recherche Agronomique (INRA)

Subjects
[SDV] Life Sciences [q-bio], [SDV]Life Sciences [q-bio], VIDANGE STOMACALE, ComputingMilieux_MISCELLANEOUS, TAILLE DES PARTICULES
Abstract

International audience

Published
1997

27. Principal component regression, ridge regression and ridge principal component regression in spectroscopy calibration

Author

Vigneau, Evelyne, Devaux, M.F., Qannari, E.M., Robert, P., Unité de statistique appliquée à la caractérisation des aliments, Institut National de la Recherche Agronomique (INRA), Laboratoire de technologie appliquée à la nutrition, and ProdInra, Migration

Subjects
[SDV] Life Sciences [q-bio], [SDV]Life Sciences [q-bio], REGRESSION EN COMPOSANTES PRINCIPALES, SPECTROMETRIE IR, SPECTROMETRIE PROCHE IR, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
1997

28. Taille des particules et dégradation protéoglucidique d'aliments solides, vidangés de l'estomac

Author

Hoebler, Christine, Cherbut, Christine, Devaux, M.F., Lecannu, G., Malbert, Charles-Henri, Laplace, J.P., Barry, J.L., Laboratoire de technologie appliquée à la nutrition, Institut National de la Recherche Agronomique (INRA), Station de recherches porcines, and ProdInra, Migration

Subjects
[SDV] Life Sciences [q-bio], [SDV]Life Sciences [q-bio], VIDANGE STOMACALE, ComputingMilieux_MISCELLANEOUS, TAILLE DES PARTICULES
Abstract

Résumé C.O. 60; National audience

Published
1997

30. Caractérisation granulométrique de fractions de moutures de maïs

Author

LE DESCHAULT DE MONREDON, F., Devaux, M.F., Chaurand, Marc, ProdInra, Migration, Laboratoire de technologie appliquée à la nutrition, and Institut National de la Recherche Agronomique (INRA)

Subjects
[SDV] Life Sciences [q-bio], [SDV]Life Sciences [q-bio], ComputingMilieux_MISCELLANEOUS
Abstract

National audience

Published
1996

31. Particle size characterization of ground fractions of dent and flint maize

Author

LE DESCHAULT DE MONREDON, F., Devaux, M.F., Chaurand, Marc, Laboratoire de technologie appliquée à la nutrition, Institut National de la Recherche Agronomique (INRA), Ingénierie des Agro-polymères et Technologies Émergentes (UMR IATE), Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), and Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Université Montpellier 2 - Sciences et Techniques (UM2)-Université de Montpellier (UM)-Institut National de la Recherche Agronomique (INRA)

Subjects
[SDV.SA]Life Sciences [q-bio]/Agricultural sciences, maïs, sélection variétale, mouture, fractionnement, granulométrie, fractionnement granulométrique, aliment granule, qualité industrielle, comparaison de variétés, Ingénierie des aliments, comportement technologique, Agricultural sciences, zea mays, [SDV.IDA]Life Sciences [q-bio]/Food engineering, Alimentation et Nutrition, Food and Nutrition, Food engineering, farine de maïs, [SDV.AEN]Life Sciences [q-bio]/Food and Nutrition, industrie de l'alimentation animale, Sciences agricoles
Abstract

National audience; Vingt six échantillons de maïs hybrides, ROSSO de type corné, VOLGA de type denté, DEA et MONARQUE de type corné-denté, cultivés dans des conditions agronomiques variables, sont broyés et séparés en fractions par voie sèche.

Published
1996

32. Caractérisation granulométrique de fractions de mouture de maïs

Author

LE DESCHAULT DE MONREDON, F., Devaux, M.F., Chaurand, Marc, Laboratoire de technologie appliquée à la nutrition, Institut National de la Recherche Agronomique (INRA), Ingénierie des Agro-polymères et Technologies Émergentes (UMR IATE), Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), and Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Université Montpellier 2 - Sciences et Techniques (UM2)-Université de Montpellier (UM)-Institut National de la Recherche Agronomique (INRA)

Subjects
[SDV]Life Sciences [q-bio], ComputingMilieux_MISCELLANEOUS
Abstract

National audience

Published
1995

33. Comparaison de la régression en composantes principales et de la 'latent root regression'. Application à la prédiction de la production spécifique de granules par spectroscopie proche infrarouge

Author

Bertrand, D., Vigneau, Evelyne, Qannari, M., Devaux, M.F., ProdInra, Migration, Laboratoire de technologie appliquée à la nutrition, and Institut National de la Recherche Agronomique (INRA)

Subjects
[SDV] Life Sciences [q-bio], [SDV]Life Sciences [q-bio], REGRESSION EN COMPOSANTES PRINCIPALES, SPECTROMETRIE IR, ComputingMilieux_MISCELLANEOUS
Abstract

National audience

Published
1995

34. Application of procrustean methods to mid- and near-infrared spectral data

Author

Vigneau, Evelyne, Devaux, M.F., Safar, M., ProdInra, Migration, Laboratoire de technologie appliquée à la nutrition, and Institut National de la Recherche Agronomique (INRA)

Subjects
[SDV] Life Sciences [q-bio], TRAITEMENT DES DONNEES, [SDV]Life Sciences [q-bio], ANALYSE PROCRUSTEENNE, SPECTROMETRIE IR, SPECTROMETRIE PROCHE IR, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
1995

35. Influence des traitements enzymatiques sur les caractéristiques chimiques, physicochimiques et physiques des coques de pois

Author

Cloutour, F., Devaux, M.F., Barry, J.L., Thibault, J.F., Laboratoire de technologie appliquée à la nutrition, Institut National de la Recherche Agronomique (INRA), Laboratoire de biochimie et technologie des glucides, and ProdInra, Migration

Subjects
[SDV] Life Sciences [q-bio], [SDV]Life Sciences [q-bio], ComputingMilieux_MISCELLANEOUS
Abstract

National audience

Published
1994

36. Spectroscopie MIR-ATR associée à l'ACP pour caractériser les corps gras

Author

Safar, M., Genot, Claude, Bertrand, D., Robert, P., Devaux, M.F., Laboratoire de technologie appliquée à la nutrition, Institut National de la Recherche Agronomique (INRA), Laboratoire d'étude des interactions des molécules alimentaires, and ProdInra, Migration

Subjects
[SDV] Life Sciences [q-bio], [SDV]Life Sciences [q-bio], SPECTROMETRIE IR, ComputingMilieux_MISCELLANEOUS
Abstract

National audience

Published
1994

37. Etude de la morphologie de grains de varietes de bles tendres par analyse d'image

Author

Devaux, M.F., Bertrand, D., Robert, P., Pichon, M., Laboratoire de technologie appliquée à la nutrition, Institut National de la Recherche Agronomique (INRA), Unité d'Amélioration des plantes (CL CLERMONT GENETQ), and ProdInra, Migration

Subjects
[SDV] Life Sciences [q-bio], [SDV]Life Sciences [q-bio], CONTROLE DE QUALITE, ComputingMilieux_MISCELLANEOUS
Abstract

National audience

Published
1993

38. L'analyse d'images appliquee aux produits cerealiers

Author

Bertrand, D., Devaux, M.F., Robert, P., Laboratoire de technologie appliquée à la nutrition, Institut National de la Recherche Agronomique (INRA), and ProdInra, Migration

Subjects
[SDV] Life Sciences [q-bio], [SDV]Life Sciences [q-bio], CONTROLE DE QUALITE, ComputingMilieux_MISCELLANEOUS
Abstract

National audience

Published
1993

40. Canonical correlation analysis of mid-infrared and near-infrared oil spectra

Author

Devaux, M.F., Robert, P., Quannari, A., Safar, M., Vigneau, Evelyne, ProdInra, Migration, Laboratoire de technologie appliquée à la nutrition, and Institut National de la Recherche Agronomique (INRA)

Subjects
[SDV] Life Sciences [q-bio], [SDV]Life Sciences [q-bio], SPECTROMETRIE IR, SPECTROMETRIE PROCHE IR, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
1993

41. Comparison of sieving and laser diffraction for the particle size measurements of raw materials used in foodstuff

Author

Nathier-Dufour, N., Bougeard, L., Devaux, M.F., Bertrand, D., LE DESCHAULT DE MONREDON, F., ProdInra, Migration, Laboratoire de technologie appliquée à la nutrition, and Institut National de la Recherche Agronomique (INRA)

Subjects
[SDV] Life Sciences [q-bio], [SDV]Life Sciences [q-bio], ComputingMilieux_MISCELLANEOUS, TAILLE DES PARTICULES
Abstract

International audience

Published
1993

42. Near infrared video imaging

Author

Robert, P., Bertrand, D., Devaux, M.F., Laboratoire de technologie appliquée à la nutrition, Institut National de la Recherche Agronomique (INRA), and ProdInra, Migration

Subjects
[SDV] Life Sciences [q-bio], [SDV]Life Sciences [q-bio], SPECTROMETRIE PROCHE IR, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
1992

43. Trends in analytical applications of near infrared spectroscopy

Author

Bertrand, D., Robert, P., Devaux, M.F., Laboratoire de technologie appliquée à la nutrition, Institut National de la Recherche Agronomique (INRA), and ProdInra, Migration

Subjects
[SDV] Life Sciences [q-bio], [SDV]Life Sciences [q-bio], SPECTROMETRIE IR, SPECTROMETRIE PROCHE IR, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
1992

44. Description of the textural appearance of bread crumb by video image analysis

Author

Bertrand, D., Le Guernevé, Christine, Marion, D., Devaux, M.F., Robert, P., ProdInra, Migration, Laboratoire de technologie appliquée à la nutrition, and Institut National de la Recherche Agronomique (INRA)

Subjects
[SDV.BBM.BC] Life Sciences [q-bio]/Biochemistry, Molecular Biology/Biochemistry [q-bio.BM], ComputingMilieux_MISCELLANEOUS, [SDV.BBM.BC]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Biomolecules [q-bio.BM]
Abstract

International audience

Published
1992

45. Near infrared video image analysis of wheat grains

Author

Robert, P., Bertrand, D., Devaux, M.F., ProdInra, Migration, Laboratoire de technologie appliquée à la nutrition, and Institut National de la Recherche Agronomique (INRA)

Subjects
[SDV] Life Sciences [q-bio], Software_OPERATINGSYSTEMS, ComputerSystemsOrganization_COMPUTERSYSTEMIMPLEMENTATION, [SDV]Life Sciences [q-bio], SPECTROMETRIE IR, ComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMS, ComputingMilieux_MISCELLANEOUS
Abstract

* Resume de communication; National audience

Published
1992

46. Identification of chemical constituents by multivariate near-infared spectral imaging

Author

Robert, P., Bertrand, D., Devaux, M.F., Sire, Alain, ProdInra, Migration, Laboratoire de technologie appliquée à la nutrition, and Institut National de la Recherche Agronomique (INRA)

Subjects
[CHIM.ANAL] Chemical Sciences/Analytical chemistry, [CHIM.ANAL]Chemical Sciences/Analytical chemistry, SPECTROMETRIE PROCHE IR, SON
Abstract

25 ref.; International audience

Published
1992

47. Les applications de l'analyse d'image dans le visible

Author

Bertrand, D., Devaux, M.F., Robert, P., ProdInra, Migration, Laboratoire de technologie appliquée à la nutrition, and Institut National de la Recherche Agronomique (INRA)

Subjects
[SDV] Life Sciences [q-bio], [SDV]Life Sciences [q-bio], ComputingMilieux_MISCELLANEOUS
Abstract

National audience

Published
1991

48. Caracterisation de varietes de bles tendres par analyse d'image sur grains entiers

Author

Devaux, M.F., Bertrand, D., Robert, P., Rousset, M., ProdInra, Migration, Laboratoire de technologie appliquée à la nutrition, Institut National de la Recherche Agronomique (INRA), and Unité d'Amélioration des plantes (CL CLERMONT GENETQ)

Subjects
[SDV] Life Sciences [q-bio], [SDV]Life Sciences [q-bio], ComputingMilieux_MISCELLANEOUS
Abstract

National audience

Published
1991

49. Application of multi-dimensional analyses in the extraction of spectral patterns

Author

Bertrand, D., Robert, P., Devaux, M.F., Laboratoire de technologie appliquée à la nutrition, Institut National de la Recherche Agronomique (INRA), and ProdInra, Migration

Subjects
[SDV] Life Sciences [q-bio], [SDV]Life Sciences [q-bio], REGRESSION EN COMPOSANTES PRINCIPALES, SPECTROMETRIE PROCHE IR, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
1990

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