title: The current practice in the application of chemometrics for correlation of sensory and gas chromatographic data.
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.
authors.affiliation: 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.
authors.forename: Sirli
authors.initials: S
authors.lastname: Seisonen
authors.affiliation: 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.
authors.forename: Kristel
authors.initials: K
authors.lastname: Vene
authors.affiliation: The Sensory Analysis Center, Kansas State University, 1310 Research Park Dr, Manhattan, KS 66502, USA.
authors.forename: Kadri
authors.initials: K
authors.lastname: Koppel
mesh_terms: D002849:Chromatography, Gas / Q000379:methods*; D006801:Humans; D016018:Least-Squares Analysis; D008962:Models, Theoretical; D016571:Neural Networks, Computer; D012677:Sensation; D055549:Volatile Organic Compounds / Q000032:analysis*
chemical_list: D055549:Volatile Organic Compounds
keywords: Chemometrics; Gas chromatography; PLSR; Sensory-instrumental relations