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.
Full text not available from this repository.Abstract
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.
| Item Type: | Article |
|---|---|
| Funders: | Universiti Malaya, Malaysia [BKS078-2017] |
| Uncontrolled Keywords: | Authentication; Geographical origin; Minerals; Pattern recognition; Zingiber officinale |
| Subjects: | Q Science > Q Science (General) Q Science > QD Chemistry |
| Divisions: | Faculty of Science > Department of Chemistry |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 17 Jul 2022 06:42 |
| Last Modified: | 17 Jul 2022 06:42 |
| URI: | http://eprints.um.edu.my/id/eprint/33709 |
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