Provenance Establishment of Stingless Bee Honey Using Multi-element Analysis in Combination with Chemometrics Techniques

As consumption of stingless bee honey has been gaining popularity in many countries including Malaysia, ability to identify accurately its geographical origin proves pertinent for investigating fraudulent activities for consumer protection. Because a chemical signature can be location-specific, mult...

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Main Authors: Shadan, A. F., Mahat, N. A., Wan Ibrahim, W. A., Ariffin, Z., Ismail, D.
Format: Article
Language:English
Published: Blackwell Publishing Inc. 2018
Subjects:
Online Access:http://eprints.utm.my/id/eprint/79895/1/AidilFahmiShadan2018_ProvenanceEstablishmentofStinglessBeeHoney.pdf
http://eprints.utm.my/id/eprint/79895/
http://dx.doi.org/10.1111/1556-4029.13512
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Institution: Universiti Teknologi Malaysia
Language: English
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spelling my.utm.798952019-01-28T06:58:54Z http://eprints.utm.my/id/eprint/79895/ Provenance Establishment of Stingless Bee Honey Using Multi-element Analysis in Combination with Chemometrics Techniques Shadan, A. F. Mahat, N. A. Wan Ibrahim, W. A. Ariffin, Z. Ismail, D. QD Chemistry As consumption of stingless bee honey has been gaining popularity in many countries including Malaysia, ability to identify accurately its geographical origin proves pertinent for investigating fraudulent activities for consumer protection. Because a chemical signature can be location-specific, multi-element distribution patterns may prove useful for provenancing such product. Using the inductively coupled-plasma optical emission spectrometer as well as principal component analysis (PCA) and linear discriminant analysis (LDA), the distributions of multi-elements in stingless bee honey collected at four different geographical locations (North, West, East, and South) in Johor, Malaysia, were investigated. While cross-validation using PCA demonstrated 87.0% correct classification rate, the same was improved (96.2%) with the use of LDA, indicating that discrimination was possible for the different geographical regions. Therefore, utilization of multi-element analysis coupled with chemometrics techniques for assigning the provenance of stingless bee honeys for forensic applications is supported. Blackwell Publishing Inc. 2018-01 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/79895/1/AidilFahmiShadan2018_ProvenanceEstablishmentofStinglessBeeHoney.pdf Shadan, A. F. and Mahat, N. A. and Wan Ibrahim, W. A. and Ariffin, Z. and Ismail, D. (2018) Provenance Establishment of Stingless Bee Honey Using Multi-element Analysis in Combination with Chemometrics Techniques. Journal of Forensic Sciences, 63 (1). pp. 80-85. ISSN 0022-1198 http://dx.doi.org/10.1111/1556-4029.13512 DOI:10.1111/1556-4029.13512
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic QD Chemistry
spellingShingle QD Chemistry
Shadan, A. F.
Mahat, N. A.
Wan Ibrahim, W. A.
Ariffin, Z.
Ismail, D.
Provenance Establishment of Stingless Bee Honey Using Multi-element Analysis in Combination with Chemometrics Techniques
description As consumption of stingless bee honey has been gaining popularity in many countries including Malaysia, ability to identify accurately its geographical origin proves pertinent for investigating fraudulent activities for consumer protection. Because a chemical signature can be location-specific, multi-element distribution patterns may prove useful for provenancing such product. Using the inductively coupled-plasma optical emission spectrometer as well as principal component analysis (PCA) and linear discriminant analysis (LDA), the distributions of multi-elements in stingless bee honey collected at four different geographical locations (North, West, East, and South) in Johor, Malaysia, were investigated. While cross-validation using PCA demonstrated 87.0% correct classification rate, the same was improved (96.2%) with the use of LDA, indicating that discrimination was possible for the different geographical regions. Therefore, utilization of multi-element analysis coupled with chemometrics techniques for assigning the provenance of stingless bee honeys for forensic applications is supported.
format Article
author Shadan, A. F.
Mahat, N. A.
Wan Ibrahim, W. A.
Ariffin, Z.
Ismail, D.
author_facet Shadan, A. F.
Mahat, N. A.
Wan Ibrahim, W. A.
Ariffin, Z.
Ismail, D.
author_sort Shadan, A. F.
title Provenance Establishment of Stingless Bee Honey Using Multi-element Analysis in Combination with Chemometrics Techniques
title_short Provenance Establishment of Stingless Bee Honey Using Multi-element Analysis in Combination with Chemometrics Techniques
title_full Provenance Establishment of Stingless Bee Honey Using Multi-element Analysis in Combination with Chemometrics Techniques
title_fullStr Provenance Establishment of Stingless Bee Honey Using Multi-element Analysis in Combination with Chemometrics Techniques
title_full_unstemmed Provenance Establishment of Stingless Bee Honey Using Multi-element Analysis in Combination with Chemometrics Techniques
title_sort provenance establishment of stingless bee honey using multi-element analysis in combination with chemometrics techniques
publisher Blackwell Publishing Inc.
publishDate 2018
url http://eprints.utm.my/id/eprint/79895/1/AidilFahmiShadan2018_ProvenanceEstablishmentofStinglessBeeHoney.pdf
http://eprints.utm.my/id/eprint/79895/
http://dx.doi.org/10.1111/1556-4029.13512
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