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Weber M, Buche P, Ibanescu L, Dervaux S, Guillemin H, Cufi J, Visalli M, Guichard E, Pénicaud C. PO2/TransformON, an ontology for data integration on food, feed, bioproducts and biowaste engineering. NPJ Sci Food 2023; 7:47. [PMID: 37666867 PMCID: PMC10477341 DOI: 10.1038/s41538-023-00221-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Accepted: 08/16/2023] [Indexed: 09/06/2023] Open
Abstract
We are witnessing an acceleration of the global drive to converge consumption and production patterns towards a more circular and sustainable approach to the food system. To address the challenge of reconnecting agriculture, environment, food and health, collections of large datasets must be exploited. However, building high-capacity data-sharing networks means unlocking the information silos that are caused by a multiplicity of local data dictionaries. To solve the data harmonization problem, we proposed an ontology on food, feed, bioproducts, and biowastes engineering for data integration in a circular bioeconomy and nexus-oriented approach. This ontology is based on a core model representing a generic process, the Process and Observation Ontology (PO2), which has been specialized to provide the vocabulary necessary to describe any biomass transformation process and to characterize the food, bioproducts, and wastes derived from these processes. Much of this vocabulary comes from transforming authoritative references such as the European food classification system (FoodEx2), the European Waste Catalogue, and other international nomenclatures into a semantic, world wide web consortium (W3C) format that provides system interoperability and software-driven intelligence. We showed the relevance of this new domain ontology PO2/TransformON through several concrete use cases in the fields of process engineering, bio-based composite making, food ecodesign, and relations with consumer's perception and preferences. Further works will aim to align with other ontologies to create an ontology network for bridging the gap between upstream and downstream processes in the food system.
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Affiliation(s)
| | - Patrice Buche
- INRAE, Univ. Montpellier, Institut Agro, UMR IATE, 34060, Montpellier, France
| | - Liliana Ibanescu
- Université Paris-Saclay, INRAE, AgroParisTech, UMR MIA Paris-Saclay, 91120, Palaiseau, France
| | - Stéphane Dervaux
- Université Paris-Saclay, INRAE, AgroParisTech, UMR MIA Paris-Saclay, 91120, Palaiseau, France
| | - Hervé Guillemin
- INRAE, URTAL, 39800, Poligny, France
- INRAE, PLASTIC Platform, 91400, Saclay, France
| | - Julien Cufi
- INRAE, Univ. Montpellier, Institut Agro, UMR IATE, 34060, Montpellier, France
| | - Michel Visalli
- CSGA, CNRS, INRAE, Institut Agro, Université de Bourgogne-Franche Comté, 21000, Dijon, France
- INRAE, PROBE research infrastructure, ChemoSens facility, 21000, Dijon, France
| | - Elisabeth Guichard
- CSGA, CNRS, INRAE, Institut Agro, Université de Bourgogne-Franche Comté, 21000, Dijon, France
| | - Caroline Pénicaud
- Université Paris-Saclay, INRAE, AgroParisTech, UMR SayFood, 91120, Palaiseau, France
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Visalli M, Schlich P, Mahieu B, Thomas A, Weber M, Guichard E. First steps towards FAIRization of product-focused sensory data. Food Qual Prefer 2022. [DOI: 10.1016/j.foodqual.2022.104765] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
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Syarifuddin A, Septier C, Salles C, Thomas-Danguin T. Reducing Sodium Content in Cheeses While Increasing Salty Taste and Fat Perception Using Aroma. Front Nutr 2022; 9:873427. [PMID: 35898712 PMCID: PMC9309206 DOI: 10.3389/fnut.2022.873427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Accepted: 06/21/2022] [Indexed: 11/13/2022] Open
Abstract
Excess salt (NaCl) and fat intake are major causes of chronic diseases, but reducing such components without affecting acceptability is a major challenge. Here, we set out to examine whether added aroma in lower salt cheese can enhance saltiness and fat perception. Low-salt cheese samples were grated through a homogenizer, and then aroma solution, sardine aroma (salt-associated), butter aroma (fat-associated) and a mix of sardine and butter aromas were added. The results confirmed that grating changes cheese texture, leading to induced taste perception. In addition, a significant saltiness enhancement was induced by sardine aroma and to a lesser extent by butter aroma, while significant fat perception enhancement was only induced by blended aroma. These findings show that aroma addition can be a strategy to compensate for sodium reduction in commercial cheese. Concerning fat perception, the addition of aroma can be a good strategy to compensate for low-fat in commercial cheeses. However, the mechanisms involved seem complex and need to be elucidated.
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Guichard E, Thomas-Danguin T, Buchin S, Perret B, Guillemin H, Pénicaud C, Salles C. Compilation of data on model cheeses composition, rheological and sensory properties, from six research projects exported from the BaGaTel database. Data Brief 2021; 36:106971. [PMID: 33937447 PMCID: PMC8076716 DOI: 10.1016/j.dib.2021.106971] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2021] [Revised: 03/11/2021] [Accepted: 03/12/2021] [Indexed: 02/08/2023] Open
Abstract
This paper presents data on model cheeses extracted from the BaGaTel database. The data are issued from 6 different research projects in which data on composition, rheological and sensory properties were collected. The manufacturing of the 68 different samples is described. For each model cheese, data are available on final composition (lipid, protein, water, sodium), rheological properties (uniaxial compression), sensory profile analysis (texture, taste, aroma) and for some cheeses chewing activity and in vivo sodium release were also measured. The material and methods used are detailed. Scatter plots of representation of the values for each variable and each project are plotted. Pearson correlations between variables are given for specific subsets of data. The dataset is hosted in an open access data repository. This dataset will allow a comparison of sensory properties of cheeses varying in lipid, protein water and salt content and can be used for the reformulation of cheeses made with a low salt and fat content to follow food-related health recommendations, whilst fulfilling good sensory qualities.
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Affiliation(s)
- Elisabeth Guichard
- Centre des Sciences du Goût et de l'Alimentation, AgroSup Dijon, CNRS, INRAE, Université Bourgogne Franche-Comté, F-21000 Dijon, France
| | - Thierry Thomas-Danguin
- Centre des Sciences du Goût et de l'Alimentation, AgroSup Dijon, CNRS, INRAE, Université Bourgogne Franche-Comté, F-21000 Dijon, France
| | | | - Bruno Perret
- Université Paris-Saclay, INRAE, AgroParisTech, UMR SayFood, 78850 Thiverval-Grignon, France
- PLASTIC Platform, INRAE, 78850 Thiverval-Grignon, France
| | - Hervé Guillemin
- PLASTIC Platform, INRAE, 78850 Thiverval-Grignon, France
- URTAL, INRAE, 39800 Poligny, France
| | - Caroline Pénicaud
- Université Paris-Saclay, INRAE, AgroParisTech, UMR SayFood, 78850 Thiverval-Grignon, France
| | - Christian Salles
- Centre des Sciences du Goût et de l'Alimentation, AgroSup Dijon, CNRS, INRAE, Université Bourgogne Franche-Comté, F-21000 Dijon, France
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