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Silva LKR, Santos LS, Ferrão SPB. Application of infrared spectroscopic techniques to cheese authentication: A review. INT J DAIRY TECHNOL 2022. [DOI: 10.1111/1471-0307.12859] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Larissa K R Silva
- Center for Biological and Health Sciences Federal University of Western Bahia Campus Universitário Barreiras Bahia CEP 47810‐047Brazil
| | - Leandro S Santos
- Program in Food Engineering and Science State University of Bahia Southwest Campus Universitário Itapetinga Bahia CEP 45700‐000 Brazil
| | - Sibelli P B Ferrão
- Program in Food Engineering and Science State University of Bahia Southwest Campus Universitário Itapetinga Bahia CEP 45700‐000 Brazil
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Wang YT, Ren HB, Liang WY, Jin X, Yuan Q, Liu ZR, Chen DM, Zhang YH. A novel approach to temperature-dependent thermal processing authentication for milk by infrared spectroscopy coupled with machine learning. J FOOD ENG 2021. [DOI: 10.1016/j.jfoodeng.2021.110740] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Barbu IM, Lamers RJA, Gerritsen HW, Blokland MH, Bremer MG, Alewijn M. Endogenous protein and peptide analysis with LC-MS/(MS): A feasibility study for authentication of raw-milk farmer's cheese. Int Dairy J 2021. [DOI: 10.1016/j.idairyj.2021.104990] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Deuscher Z, Andriot I, Sémon E, Repoux M, Preys S, Roger JM, Boulanger R, Labouré H, Le Quéré JL. Volatile compounds profiling by using proton transfer reaction-time of flight-mass spectrometry (PTR-ToF-MS). The case study of dark chocolates organoleptic differences. JOURNAL OF MASS SPECTROMETRY : JMS 2019; 54:92-119. [PMID: 30478865 DOI: 10.1002/jms.4317] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/24/2018] [Revised: 11/16/2018] [Accepted: 11/20/2018] [Indexed: 05/28/2023]
Abstract
Direct-injection mass spectrometry (DIMS) techniques have evolved into powerful methods to analyse volatile organic compounds (VOCs) without the need of chromatographic separation. Combined to chemometrics, they have been used in many domains to solve sample categorization issues based on volatilome determination. In this paper, different DIMS methods that have largely outperformed conventional electronic noses (e-noses) in classification tasks are briefly reviewed, with an emphasis on food-related applications. A particular attention is paid to proton transfer reaction mass spectrometry (PTR-MS), and many results obtained using the powerful PTR-time of flight-MS (PTR-ToF-MS) instrument are reviewed. Data analysis and feature selection issues are also summarized and discussed. As a case study, a challenging problem of classification of dark chocolates that has been previously assessed by sensory evaluation in four distinct categories is presented. The VOC profiles of a set of 206 chocolate samples classified in the four sensory categories were analysed by PTR-ToF-MS. A supervised multivariate data analysis based on partial least squares regression-discriminant analysis allowed the construction of a classification model that showed excellent prediction capability: 97% of a test set of 62 samples were correctly predicted in the sensory categories. Tentative identification of ions aided characterisation of chocolate classes. Variable selection using dedicated methods pinpointed some volatile compounds important for the discrimination of the chocolates. Among them, the CovSel method was used for the first time on PTR-MS data resulting in a selection of 10 features that allowed a good prediction to be achieved. Finally, challenges and future needs in the field are discussed.
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Affiliation(s)
- Zoé Deuscher
- Centre des Sciences du Goût et de l'Alimentation (CSGA), AgroSup Dijon, CNRS, INRA, Université Bourgogne Franche-Comté, F-21000, Dijon, France
- CIRAD, UMR 95 QUALISUD, F-34000, Montpellier, France
| | - Isabelle Andriot
- Centre des Sciences du Goût et de l'Alimentation (CSGA), AgroSup Dijon, CNRS, INRA, Université Bourgogne Franche-Comté, F-21000, Dijon, France
- ChemoSens Platform, CSGA, F-21000, Dijon, France
| | - Etienne Sémon
- Centre des Sciences du Goût et de l'Alimentation (CSGA), AgroSup Dijon, CNRS, INRA, Université Bourgogne Franche-Comté, F-21000, Dijon, France
- ChemoSens Platform, CSGA, F-21000, Dijon, France
| | | | | | - Jean-Michel Roger
- IRSTEA, Information, Technologies and Environmental Assessment for Agro-Processes, F-34000, Montpellier, France
| | | | - Hélène Labouré
- Centre des Sciences du Goût et de l'Alimentation (CSGA), AgroSup Dijon, CNRS, INRA, Université Bourgogne Franche-Comté, F-21000, Dijon, France
| | - Jean-Luc Le Quéré
- Centre des Sciences du Goût et de l'Alimentation (CSGA), AgroSup Dijon, CNRS, INRA, Université Bourgogne Franche-Comté, F-21000, Dijon, France
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