Discrimination and recognition of bentong ginger based on multi-elemental fingerprints and chemometrics

Authentication of ginger produce is important because of fraudulent practices, particularly concerning adulteration and deliberate mislabelling. The well-reputed Bentong ginger has been tagged with its specific geographical origin, and its elemental pattern could potentially be used as an indication...

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主要な著者: Tabbassum, Misbah, Zeeshan, Farrukh, Low, Kah Hin
フォーマット: 論文
出版事項: Springer Verlag (Germany) 2022
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spelling my.um.eprints.337092022-07-17T06:42:37Z http://eprints.um.edu.my/33709/ Discrimination and recognition of bentong ginger based on multi-elemental fingerprints and chemometrics Tabbassum, Misbah Zeeshan, Farrukh Low, Kah Hin Q Science (General) QD Chemistry Authentication of ginger produce is important because of fraudulent practices, particularly concerning adulteration and deliberate mislabelling. The well-reputed Bentong ginger has been tagged with its specific geographical origin, and its elemental pattern could potentially be used as an indication of the identity of this premium produce. In this study, the concentrations of Na, Mg, K, Ca, Cr, Mn, Fe, Ni, Cu, Zn, Rb, Ba, and Pb in ginger samples were determined by inductively coupled plasma-mass spectrometry and explored by chemometrics. The outcomes of both principal component analysis and hierarchical analysis revealed a distinct clustering pattern that separated Bentong from non-Bentong samples, where Rb and Pb were found mainly associated with the Bentong gingers; the concentrations of Pb in the raw samples were below the regulatory limit. An artificial neural network model derived from the elemental data distinguished the Bentong gingers from the other commercial samples with a zero-confusion rate. The results demonstrated the feasibility of authentication of the Bentong gingers by coupling multi-elemental fingerprinting and chemometrics. Springer Verlag (Germany) 2022-03 Article PeerReviewed Tabbassum, Misbah and Zeeshan, Farrukh and Low, Kah Hin (2022) Discrimination and recognition of bentong ginger based on multi-elemental fingerprints and chemometrics. Food Analytical Methods, 15 (3). pp. 637-646. ISSN 1936-9751, DOI https://doi.org/10.1007/s12161-021-02167-1 <https://doi.org/10.1007/s12161-021-02167-1>. 10.1007/s12161-021-02167-1
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic Q Science (General)
QD Chemistry
spellingShingle Q Science (General)
QD Chemistry
Tabbassum, Misbah
Zeeshan, Farrukh
Low, Kah Hin
Discrimination and recognition of bentong ginger based on multi-elemental fingerprints and chemometrics
description Authentication of ginger produce is important because of fraudulent practices, particularly concerning adulteration and deliberate mislabelling. The well-reputed Bentong ginger has been tagged with its specific geographical origin, and its elemental pattern could potentially be used as an indication of the identity of this premium produce. In this study, the concentrations of Na, Mg, K, Ca, Cr, Mn, Fe, Ni, Cu, Zn, Rb, Ba, and Pb in ginger samples were determined by inductively coupled plasma-mass spectrometry and explored by chemometrics. The outcomes of both principal component analysis and hierarchical analysis revealed a distinct clustering pattern that separated Bentong from non-Bentong samples, where Rb and Pb were found mainly associated with the Bentong gingers; the concentrations of Pb in the raw samples were below the regulatory limit. An artificial neural network model derived from the elemental data distinguished the Bentong gingers from the other commercial samples with a zero-confusion rate. The results demonstrated the feasibility of authentication of the Bentong gingers by coupling multi-elemental fingerprinting and chemometrics.
format Article
author Tabbassum, Misbah
Zeeshan, Farrukh
Low, Kah Hin
author_facet Tabbassum, Misbah
Zeeshan, Farrukh
Low, Kah Hin
author_sort Tabbassum, Misbah
title Discrimination and recognition of bentong ginger based on multi-elemental fingerprints and chemometrics
title_short Discrimination and recognition of bentong ginger based on multi-elemental fingerprints and chemometrics
title_full Discrimination and recognition of bentong ginger based on multi-elemental fingerprints and chemometrics
title_fullStr Discrimination and recognition of bentong ginger based on multi-elemental fingerprints and chemometrics
title_full_unstemmed Discrimination and recognition of bentong ginger based on multi-elemental fingerprints and chemometrics
title_sort discrimination and recognition of bentong ginger based on multi-elemental fingerprints and chemometrics
publisher Springer Verlag (Germany)
publishDate 2022
url http://eprints.um.edu.my/33709/
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score 13.251813