Analysis of apples varieties - comparison of electronic tongue with different analytical techniques

Alisa Rudnitskaya; Dmitri Kirsanov; Andrey Legin; Katrien Beullens; Jeroen Lammertyn; Bart M. Nicolaï; Joseph Irudayaraj

doi:10.1016/j.snb.2005.11.069

Analysis of apples varieties - comparison of electronic tongue with different analytical techniques

Alisa Rudnitskaya, Dmitri Kirsanov, Andrey Legin, Katrien Beullens, Jeroen Lammertyn, Bart M. Nicolaï, Joseph Irudayaraj

Research output: Contribution to journal › Article › peer-review

Abstract

The present study was aimed at application of rapid analytical techniques such as Electronic Tongue and FTIR spectroscopy to the recognition and quantitative analysis of different apple varieties. Five apple varieties were studied using three different analytical techniques: HPLC, electronic tongue multisensor system based on potentiometric chemical sensors and FTIR spectroscopy. Twenty samples (apples) of each variety were measured. Concentrations of organic acids such as malic, citric, galacturonic etc. and sugars were measured by HPLC, which is a conventional method for fruit analysis. HPLC data were used as reference for calibration of the electronic tongue and FTIR. Different aspects of data processing were addressed. Recognition and classification of the apples according to variety was performed by PCA and PLS DISCRIM using the data from three different analytical instruments. Quantitative calibration of the electronic tongue and FTIR with respect to organic acids content was performed using PLS regression. Different approaches to data merging from two different analytical instruments, ET and ATR-FTIRT, were considered. Low-level data fusion was found to be the most effective for ET and ATR-FTIR.

Original language	English (US)
Pages (from-to)	23-28
Number of pages	6
Journal	Sensors and Actuators, B: Chemical
Volume	116
Issue number	1-2
DOIs	https://doi.org/10.1016/j.snb.2005.11.069
State	Published - Jul 28 2006
Externally published	Yes

Keywords

ATR-FTIR
Apple recognition
Data fusion
Determination of organic acids
Electronic tongue

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Instrumentation
Condensed Matter Physics
Surfaces, Coatings and Films
Metals and Alloys
Electrical and Electronic Engineering
Materials Chemistry

Online availability

10.1016/j.snb.2005.11.069

Library availability

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title = "Analysis of apples varieties - comparison of electronic tongue with different analytical techniques",

abstract = "The present study was aimed at application of rapid analytical techniques such as Electronic Tongue and FTIR spectroscopy to the recognition and quantitative analysis of different apple varieties. Five apple varieties were studied using three different analytical techniques: HPLC, electronic tongue multisensor system based on potentiometric chemical sensors and FTIR spectroscopy. Twenty samples (apples) of each variety were measured. Concentrations of organic acids such as malic, citric, galacturonic etc. and sugars were measured by HPLC, which is a conventional method for fruit analysis. HPLC data were used as reference for calibration of the electronic tongue and FTIR. Different aspects of data processing were addressed. Recognition and classification of the apples according to variety was performed by PCA and PLS DISCRIM using the data from three different analytical instruments. Quantitative calibration of the electronic tongue and FTIR with respect to organic acids content was performed using PLS regression. Different approaches to data merging from two different analytical instruments, ET and ATR-FTIRT, were considered. Low-level data fusion was found to be the most effective for ET and ATR-FTIR.",

keywords = "ATR-FTIR, Apple recognition, Data fusion, Determination of organic acids, Electronic tongue",

author = "Alisa Rudnitskaya and Dmitri Kirsanov and Andrey Legin and Katrien Beullens and Jeroen Lammertyn and Nicola{\"i}, {Bart M.} and Joseph Irudayaraj",

note = "Funding Information: This research has been partly supported by the Institute for the Promotion of Innovation by Science and Technology in Flanders (IWT-Vlaanderen, project CLO/IWT/020670) and the North Atlantic Treaty Organisation (NATO, project LST.CLG.979511). Jeroen Lammertyn is Postdoctoral Fellow with the Fund of Scientific Research-Flanders (FWO-Vlaanderen). ",

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T1 - Analysis of apples varieties - comparison of electronic tongue with different analytical techniques

AU - Rudnitskaya, Alisa

AU - Kirsanov, Dmitri

AU - Legin, Andrey

AU - Beullens, Katrien

AU - Lammertyn, Jeroen

AU - Nicolaï, Bart M.

AU - Irudayaraj, Joseph

N1 - Funding Information: This research has been partly supported by the Institute for the Promotion of Innovation by Science and Technology in Flanders (IWT-Vlaanderen, project CLO/IWT/020670) and the North Atlantic Treaty Organisation (NATO, project LST.CLG.979511). Jeroen Lammertyn is Postdoctoral Fellow with the Fund of Scientific Research-Flanders (FWO-Vlaanderen).

PY - 2006/7/28

Y1 - 2006/7/28

N2 - The present study was aimed at application of rapid analytical techniques such as Electronic Tongue and FTIR spectroscopy to the recognition and quantitative analysis of different apple varieties. Five apple varieties were studied using three different analytical techniques: HPLC, electronic tongue multisensor system based on potentiometric chemical sensors and FTIR spectroscopy. Twenty samples (apples) of each variety were measured. Concentrations of organic acids such as malic, citric, galacturonic etc. and sugars were measured by HPLC, which is a conventional method for fruit analysis. HPLC data were used as reference for calibration of the electronic tongue and FTIR. Different aspects of data processing were addressed. Recognition and classification of the apples according to variety was performed by PCA and PLS DISCRIM using the data from three different analytical instruments. Quantitative calibration of the electronic tongue and FTIR with respect to organic acids content was performed using PLS regression. Different approaches to data merging from two different analytical instruments, ET and ATR-FTIRT, were considered. Low-level data fusion was found to be the most effective for ET and ATR-FTIR.

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KW - Determination of organic acids

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Analysis of apples varieties - comparison of electronic tongue with different analytical techniques

Abstract

Keywords

ASJC Scopus subject areas

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