Literature DB >> 22980895

Discrimination of mineral waters by electronic tongue, sensory evaluation and chemical analysis.

László Sipos1, Zoltán Kovács, Virág Sági-Kiss, Tímea Csiki, Zoltán Kókai, András Fekete, Károly Héberger.   

Abstract

Mineral, spring and tap water samples of different geographical origins (7 classes) were distinguished by various methods, such as sensory evaluation, electronic tongue measurement, inductively coupled plasma atomic emission spectroscopy and ion chromatography. Samples from the same geographical origin were correctly classified by chemical analysis and electronic tongue (100%), but it was found that only 80% classification rate can be achieved by sensory evaluation. Different water brands (different brand names) from the same geographical origin did not show definite differences, as expected. Forward stepwise algorithm selected three chemical parameters namely, chloride (Cl(-)), sulphate (SO(4)(2-)) and magnesium (Mg) content and two electronic tongue sensor signals (ZZ and HA) to discriminate according to the geographical origins.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 22980895     DOI: 10.1016/j.foodchem.2012.06.021

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  4 in total

1.  Water discrimination based on the kinetic variations of AgNP spectrum.

Authors:  Masoud Shariati-Rad; Yalda Mozaffari
Journal:  RSC Adv       Date:  2020-09-17       Impact factor: 4.036

2.  Combining electronic tongue array and chemometrics for discriminating the specific geographical origins of green tea.

Authors:  Lu Xu; Si-Min Yan; Zi-Hong Ye; Xian-Shu Fu; Xiao-Ping Yu
Journal:  J Anal Methods Chem       Date:  2013-07-15       Impact factor: 2.193

3.  Quantitative Determination of Spring Water Quality Parameters via Electronic Tongue.

Authors:  Noèlia Carbó; Javier López Carrero; F Javier Garcia-Castillo; Isabel Tormos; Estela Olivas; Elisa Folch; Miguel Alcañiz Fillol; Juan Soto; Ramón Martínez-Máñez; M Carmen Martínez-Bisbal
Journal:  Sensors (Basel)       Date:  2017-12-25       Impact factor: 3.576

4.  Evaluation of the Bitterness of Traditional Chinese Medicines using an E-Tongue Coupled with a Robust Partial Least Squares Regression Method.

Authors:  Zhaozhou Lin; Qiao Zhang; Ruixin Liu; Xiaojie Gao; Lu Zhang; Bingya Kang; Junhan Shi; Zidan Wu; Xinjing Gui; Xuelin Li
Journal:  Sensors (Basel)       Date:  2016-01-25       Impact factor: 3.576

  4 in total

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