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

M. Khaydukova, X. Cetó, D. Kirsanov, M. del Valle, A. Legin

Результат исследований: Научные публикации в периодических изданияхстатья

5 Цитирования (Scopus)

Выдержка

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.
Язык оригиналаанглийский
Страницы (с-по)1088-1092
Число страниц5
ЖурналFood Analytical Methods
Том8
Номер выпуска5
DOI
СостояниеОпубликовано - 2015

Отпечаток

Electronic tongues
electronic tongue
Electronic Nose
black tea
Tea
electronics
tea (beverage)
prediction
Russia
Least-Squares Analysis
Spain
least squares
Potentiometric sensors
Retail stores
regression
regulatory authority
sensory system
product quality
sensors (equipment)
analytical methods

Цитировать

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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.",
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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.

Результат исследований: Научные публикации в периодических изданияхстатья

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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

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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.

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