A5014900426- Spectroscopy and Chemometric Analyses
- Advanced Chemical Sensor Technologies
- Spectroscopy Techniques in Biomedical and Chemical Research
- Food composition and properties
- Meat and Animal Product Quality
- Phytochemicals and Antioxidant Activities
- Postharvest Quality and Shelf Life Management
- Sensory Analysis and Statistical Methods
- Seed Germination and Physiology
- Fermentation and Sensory Analysis
- Remote-Sensing Image Classification
- Blind Source Separation Techniques
- Essential Oils and Antimicrobial Activity
- Plant Physiology and Cultivation Studies
- Smart Agriculture and AI
- Polysaccharides Composition and Applications
- Mycotoxins in Agriculture and Food
- Cassava research and cyanide
- Food Safety and Hygiene
- Thermography and Photoacoustic Techniques
- Listeria monocytogenes in Food Safety
- Metabolomics and Mass Spectrometry Studies
- Mineral Processing and Grinding
- Edible Oils Quality and Analysis
- Machine Learning in Bioinformatics
Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement
2018-2024
Oniris
2019-2024
Laboratoire D'étude des Résidus et Contaminants Dans les Aliments
2022
Biopolymères Interactions Assemblages
2010-2018
Université Claude Bernard Lyon 1
2004-2006
An innovative chemometric method was developed to exploit visible and near-infrared (Vis-NIR) spectroscopy guide food formulation reach the anticipated constant quality of final products. First, a total 671 spectral variables related puree characteristics were identified by variable selection methods. Second, concentration profiles from multivariate curve resolution-alternative least squares (MCR-ALS) made it possible reconstruct formulated purees. Partial square (PLS) based on reconstructed...
Near infrared hyperspectral imaging technique has been used for adulteration detection in food samples several years. However, the sensor cannot screen beyond a certain material thickness. This work studies method to determine penetration depth of near radiations context detection. The case wheat flour polylactic acid sample holder is investigated. A specially designed have thickness vary from 0.5 3.5 mm. Hyperspectral images are acquired and partial least squares regression amount each...
The possibility of using near infrared hyperspectral imaging spectroscopy to quantify the water content in commercial biscuits was investigated. Principal component analysis successfully applied images monitor their contents. Variables were selected and contents quantified variance, followed by multiple linear regression, results compared with those obtained variable importance projection partial least squares. Initially equal 212, number variables after application variance 10. Analysis...