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Food Chem

Title:		The current practice in the application of chemometrics for correlation of sensory and gas chromatographic data
Author(s):		Seisonen S; Vene K; Koppel K;
Address:		"Department of Food Processing, Tallinn University of Technology, Ehitajate tee 5, 19086 Tallinn, Estonia; Competence Center of Food and Fermentation Technologies, Akadeemia tee 15A, 12618 Tallinn, Estonia. Electronic address: sirli@tftak.eu. Department of Food Processing, Tallinn University of Technology, Ehitajate tee 5, 19086 Tallinn, Estonia; Competence Center of Food and Fermentation Technologies, Akadeemia tee 15A, 12618 Tallinn, Estonia. The Sensory Analysis Center, Kansas State University, 1310 Research Park Dr, Manhattan, KS 66502, USA"
Journal Title:		Food Chem
Year:		2016
Volume:		20160429
Issue:
Page Number:		530 - 540
DOI:		10.1016/j.foodchem.2016.04.134
ISSN/ISBN:		1873-7072 (Electronic) 0308-8146 (Linking)
Abstract:		"A lot of research has been conducted in correlating the sensory properties of food with different analytical measurements in recent years. Various statistical methods have been used in order to get the most reliable results and to create prediction models with high statistical performance. The current review summarises the latest practices in the field of correlating attributes from sensory analysis with volatile data obtained by gas chromatographic analysis. The review includes the origin of the data, different pre-processing and variable selection methods and finally statistical methods of analysis and validation. Partial least squares regression analysis appears as the most commonly used statistical method in the area. The main shortcomings were identified in the steps of pre-processing, variable selection and also validation of models that have not gained enough attention. As the association between volatiles and sensory perception is often nonlinear, future studies should test the application of different nonlinear techniques"
Keywords:		"Chromatography, Gas/*methods Humans Least-Squares Analysis Models, Theoretical Neural Networks, Computer *Sensation Volatile Organic Compounds/*analysis Chemometrics Gas chromatography Plsr Sensory-instrumental relations;"
Notes:		"MedlineSeisonen, Sirli Vene, Kristel Koppel, Kadri eng Review England 2016/05/24 Food Chem. 2016 Nov 1; 210:530-40. doi: 10.1016/j.foodchem.2016.04.134. Epub 2016 Apr 29"