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A Tool for General Quality Assessment of Black Tea-Retail Price Prediction by an Electronic Tongue. / Khaydukova, M.; Cetó, X.; Kirsanov, D.; del Valle, M.; Legin, A.

в: Food Analytical Methods, Том 8, № 5, 2015, стр. 1088-1092.

Результаты исследований: Научные публикации в периодических изданияхстатья

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Author

Khaydukova, M. ; Cetó, X. ; Kirsanov, D. ; del Valle, M. ; Legin, A. / A Tool for General Quality Assessment of Black Tea-Retail Price Prediction by an Electronic Tongue. в: Food Analytical Methods. 2015 ; Том 8, № 5. стр. 1088-1092.

BibTeX

@article{509e063738bb4704bf890560b71afa7c,
title = "A Tool for General Quality Assessment of Black Tea-Retail Price Prediction by an Electronic Tongue",
abstract = "Retail price of food products is a complex interplay between multiple factors. Overall product quality has got one of the most serious impacts on the price in many situations. In the present study, an artificial sensory system (potentiometric electronic tongue) was employed for the analysis of black tea samples purchased in the retail stores in Spain and Russia. It was possible to relate the response of a potentiometric sensor system with retail prices of various black tea samples by means of partial least squares (PLS) regression. PLS regression models are allowed for the prediction of retail price with mean relative errors of about 15 and 25 % for Spain's tea bags and for loose-packed tea from Russia, respectively. The suggested approach shows a promise for the development of an instrumental analytical technique for regulatory authorities to fight with counterfeits and for commercial purposes to evaluate market space.",
author = "M. Khaydukova and X. Cet{\'o} and D. Kirsanov and {del Valle}, M. and A. Legin",
year = "2015",
doi = "10.1007/s12161-014-9979-3",
language = "English",
volume = "8",
pages = "1088--1092",
journal = "Food Analytical Methods",
issn = "1936-9751",
publisher = "Springer Nature",
number = "5",

}

RIS

TY - JOUR

T1 - A Tool for General Quality Assessment of Black Tea-Retail Price Prediction by an Electronic Tongue

AU - Khaydukova, M.

AU - Cetó, X.

AU - Kirsanov, D.

AU - del Valle, M.

AU - Legin, A.

PY - 2015

Y1 - 2015

N2 - Retail price of food products is a complex interplay between multiple factors. Overall product quality has got one of the most serious impacts on the price in many situations. In the present study, an artificial sensory system (potentiometric electronic tongue) was employed for the analysis of black tea samples purchased in the retail stores in Spain and Russia. It was possible to relate the response of a potentiometric sensor system with retail prices of various black tea samples by means of partial least squares (PLS) regression. PLS regression models are allowed for the prediction of retail price with mean relative errors of about 15 and 25 % for Spain's tea bags and for loose-packed tea from Russia, respectively. The suggested approach shows a promise for the development of an instrumental analytical technique for regulatory authorities to fight with counterfeits and for commercial purposes to evaluate market space.

AB - Retail price of food products is a complex interplay between multiple factors. Overall product quality has got one of the most serious impacts on the price in many situations. In the present study, an artificial sensory system (potentiometric electronic tongue) was employed for the analysis of black tea samples purchased in the retail stores in Spain and Russia. It was possible to relate the response of a potentiometric sensor system with retail prices of various black tea samples by means of partial least squares (PLS) regression. PLS regression models are allowed for the prediction of retail price with mean relative errors of about 15 and 25 % for Spain's tea bags and for loose-packed tea from Russia, respectively. The suggested approach shows a promise for the development of an instrumental analytical technique for regulatory authorities to fight with counterfeits and for commercial purposes to evaluate market space.

U2 - 10.1007/s12161-014-9979-3

DO - 10.1007/s12161-014-9979-3

M3 - Article

VL - 8

SP - 1088

EP - 1092

JO - Food Analytical Methods

JF - Food Analytical Methods

SN - 1936-9751

IS - 5

ER -

ID: 3932431