Comparer des méthodes

	Chromatographie en phase gazeuse-olfactométrie	Nez électronique	CLHP	Analyse du Profil de Texture
Domaine	Sciences des aliments	Sciences des aliments	Sciences des aliments	Sciences des aliments
Famille	Process / pipeline	Process / pipeline	Process / pipeline	Process / pipeline
Année d'origine	1997	1982	1970	1968
Auteur d'origine	Terry Acree	Krishna Persaud	Csaba Horváth	Malcolm Bourne
Type	Sensory-Instrumental Coupling	Chemical Sensing Device	Separation and Quantification Technique	Mechanical Texture Method
Source fondatrice	Acree, T. E. (1997). GC/Olfactometry. Analytical Chemistry, 69(5), 170A-175A.	Persaud, K., & Dodd, G. (1982). Analysis of discrimination mechanisms in the mammalian olfactory system using a model nose. Nature, 299(5881), 352-355.	Snyder, L. R., Kirkland, J. J., & Dolan, J. W. (2010). Introduction to modern liquid chromatography (3rd ed.). Wiley.	Bourne, M. C. (1968). Texture profile of foods. Journal of Food Science, 33(3), 280-283.
Alias	GC-O	e-Nose, artificial olfaction	HPLC, high-pressure liquid chromatography	TPA
Apparentées	3	3	3	3
Résumé	Gas Chromatography-Olfactometry (GC-O) combines the separation power of gas chromatography with human olfactory perception to identify which volatile compounds in a food sample contribute to its aroma. Developed by Acree and colleagues in the 1990s, GC-O allows researchers to bypass the human nose's inability to consciously identify which of many simultaneous odors they are perceiving, replacing the 'olfactory bulb' with a trained human panelist.	An electronic nose (e-nose) is an instrumental analytical device that mimics the mammalian olfactory system to detect and identify volatile organic compounds (odors) in food products. Developed by Persaud and Dodd in 1982, e-noses use arrays of non-selective chemical sensors combined with pattern recognition algorithms to create electronic signatures of food aromas, enabling objective, rapid quality assessment and shelf-life prediction.	High-Performance Liquid Chromatography (HPLC) is an analytical technique that separates, identifies, and quantifies components in a complex food sample by passing the sample through a pressurized column packed with a stationary phase. Developed by Horváth in the early 1970s, HPLC enables rapid, sensitive measurement of nutrients, contaminants, additives, and bioactive compounds in food products with high precision and accuracy.	Texture Profile Analysis (TPA) is an objective, mechanical method that simulates mastication (chewing) to measure the textural properties of food products. Developed by Bourne in 1968, TPA uses a texture analyzer (a machine that applies defined forces and movements to a sample) to generate a force-time curve from which multiple texture attributes (hardness, springiness, chewiness, cohesiveness, adhesiveness) are extracted and quantified.