Zobrazeno 1 - 10 of 33 pro vyhledávání: '"Benoit, Jaillais"'
1
Akademický článek
Infrared guided smart food formulation: an innovative spectral reconstruction strategy to develop anticipated and constant apple puree products
Autor: Zhenjie Wang, Sylvie Bureau, Benoit Jaillais, Catherine M. G. C. Renard, Xiao Chen, Yali Sun, Daizhu Lv, Leiqing Pan, Weijie Lan
Publikováno v: Food Innovation and Advances, Vol 3, Iss 1, Pp 20-30 (2024)
An innovative chemometric method was developed to exploit visible and near-infrared (Vis-NIR) spectroscopy to guide food formulation to reach the anticipated and constant quality of final products. First, a total of 671 spectral variables related to
Externí odkaz: https://doaj.org/article/cb3ed1f9316c4be1ba894f6ef7aa65de
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2
Akademický článek
Global and Partial Effect Assessment in Metabolic Syndrome Explored by Metabolomics
Autor: Marion Brandolini-Bunlon, Benoit Jaillais, Véronique Cariou, Blandine Comte, Estelle Pujos-Guillot, Evelyne Vigneau
Publikováno v: Metabolites, Vol 13, Iss 3, p 373 (2023)
In nutrition and health research, untargeted metabolomics is actually analyzed simultaneously with clinical data to improve prediction and better understand pathological status. This can be modeled using a multiblock supervised model with several inp
Externí odkaz: https://doaj.org/article/9a80f2569a76427dbf200161d33959b4
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4
Global and partial effect assessment in metabolic syndrome explored by metabolomics
Autor: Marion Brandolini-Bunlon, Benoit Jaillais, Véronique Cariou, Blandine Comte, Estelle Pujos-Guillot, Evelyne Vigneau
Publikováno v: Chimiométrie 2022
Chimiométrie 2022, Société Française de Statistiques (SFdS); Groupe Français de Chimiométrie (GFC), Jun 2022, Brest, France
Metabolites
Metabolites, 2023, 13 (3), pp.373. ⟨10.3390/metabo13030373⟩
Metabolites; Volume 13; Issue 3; Pages: 373
In nutrition and health research, untargeted metabolomics is actually analyzed simultaneously with clinical data to improve prediction and better understand pathological status. This can be modeled using a multiblock supervised model with several inp
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b44821a2661b93aa950f64b1c5ac3c27
https://hal.science/hal-03693868/document
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5
A partial least squares-based approach to assess the light penetration depth in wheat flour by near infrared hyperspectral imaging
Autor: Anthony Boulanger, Dominique Bertrand, Antoine Laborde, Jean-Michel Roger, Luc Eveleigh, Delphine Jouan-Rimbaud Bouveresse, Christophe B.Y. Cordella, Ryad Bendoula, Benoit Jaillais
Publikováno v: Journal of Near Infrared Spectroscopy
Journal of Near Infrared Spectroscopy, NIR Publications, 2020, 28 (1), pp.25-36. ⟨10.1177/0967033519891594⟩
International audience; Near infrared hyperspectral imaging technique has been used for adulteration detection in food samples for several years. However, the sensor cannot screen beyond a certain material thickness. This work studies a method to det
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::135e32edd3ea96a44337aa8392aa6a50
https://doi.org/10.1177/0967033519891594
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6
Mid-infrared technique to forecast cooked puree properties from raw apples: A potential strategy towards sustainability and precision processing
Autor: Sylvie Bureau, Weijie Lan, Alexandra Buergy, Songchao Chen, Catherine M.G.C. Renard, Benoit Jaillais, Alexandre Leca
Publikováno v: Food Chemistry
Food Chemistry, Elsevier, 2021, 355, pp.129636. ⟨10.1016/j.foodchem.2021.129636⟩
International audience; The potential of MIRS was investigated to: i) differentiate cooked purees issued from different apples and process conditions, and ii) predict the puree quality characteristics from the spectra of homogenized raw apples. Parti
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e8449902ee302632daf28c8a54f485be
https://hal.inrae.fr/hal-03250179
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8
Visible, near- and mid-infrared spectroscopy coupled with an innovative chemometric strategy to control apple puree quality
Autor: Benoit Jaillais, Sylvie Bureau, Songchao Chen, Alexandre Leca, Catherine M.G.C. Renard, Weijie Lan
Publikováno v: Food Control
Food Control, Elsevier, 2021, 120, pp.107546. ⟨10.1016/j.foodcont.2020.107546⟩
International audience; Vis-NIRS, MIRS, and a combination of both coupled with PLS and machine learning were applied to i) trace the composed proportions of different apple varieties in formulated purees and ii) predict the quality characteristics of
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9370899193d5989e32c6acc7fb39d81d
https://hal.inrae.fr/hal-03080002
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9
Detection of chocolate powder adulteration with peanut using near-infrared hyperspectral imaging and Multivariate Curve Resolution
Autor: Antoine Laborde, Christophe B.Y. Cordella, Delphine Jouan-Rimbaud Bouveresse, Luc Eveleigh, Benoit Jaillais, Francesc Puig-Castellví
Publikováno v: Food Control
Food Control, Elsevier, 2021, 119, pp.107454. ⟨10.1016/j.foodcont.2020.107454⟩
International audience; This study aims to detect peanut flour adulteration in chocolate powder using near-infrared (NIR) hyperspectral imaging. Fifteen samples were prepared by mixing both food products in different proportions (0%, 0.1%, 1%, 10% an
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::622c83cb29f8eb3f1c11edbcba48321d
https://hal.inrae.fr/hal-03288932
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10
Toward the implementation of mid-infrared spectroscopy along the processing chain to improve quality of the tomato based products
Autor: Robert Giovinazzo, Sylvie Bureau, Benoit Jaillais, David Page, Alexandre Arbex de Castro Vilas Boas
Publikováno v: LWT-Food Science and Technology
LWT-Food Science and Technology, Elsevier, 2020, 130, pp.109518. ⟨10.1016/j.lwt.2020.109518⟩
International audience; The mid-infrared spectroscopy (MIRS) was investigated as a tool to improve the quality of tomato products considering its implementation at different steps along the processing chain. Models have been developed using partial l
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cfd863bf68c8a79a4224949399a351e1
https://hal.inrae.fr/hal-03111799
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