Discrimination of zingiberaceae medicinal herbs Using analytical methods combined with chemometric techniques

Zingiberaceae is one of the well-known families that are widely used as herbal medicines due to its various beneficial values. However, substitution with closely related species has become a serious issue in the herbal industry due to similarities in their physical appearance. Therefore, the develop...

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Main Author:	Pauzi, Aslia Natasha
Format:	Thesis
Language:	English English English
Published:	2022
Subjects:	T Technology (General)
Online Access:	http://eprints.uthm.edu.my/8256/1/24p%20ASLIA%20NATASHA%20PAUZI.pdf http://eprints.uthm.edu.my/8256/2/ASLIA%20NATASHA%20PAUZI%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/8256/3/ASLIA%20NATASHA%20PAUZI%20WATERMARK.pdf
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spelling	my-uthm-ep.82562023-02-07T03:37:23Z Discrimination of zingiberaceae medicinal herbs Using analytical methods combined with chemometric techniques 2022-01 Pauzi, Aslia Natasha T Technology (General) Zingiberaceae is one of the well-known families that are widely used as herbal medicines due to its various beneficial values. However, substitution with closely related species has become a serious issue in the herbal industry due to similarities in their physical appearance. Therefore, the development of a method for herbal discrimination is crucial to ensure its accurate identity and authenticity. This study aims to evaluate the ability and effectiveness of analytical methods that consist of Fourier Transform Infrared (FTIR) spectroscopy and electronic nose based on gas chromatography (e-nose-GC) combined with chemometric techniques to discriminate selected Malaysian medicinal herbs from the Zingiberaceae family. Nine powdered rhizomes of the Zingiberaceae family consisting of Alpinia conchigera, Alpinia galanga, Curcuma longa, Curcuma xanthorrhiza, Curcuma zedoaria, Kaempferia galanga, Kaempferia pandurata, Zingiber officinale and Zingiber zerumbet were used in this study. The best discrimination method was determined based on its accuracy percentage of discrimination performance. Results show that all samples were successfully discriminated against using both analytical methods with the aid of chemometric techniques. The best method was conducted by a combination of e-nose-GC and discriminant factor analysis (DFA) with an accuracy of 99.02 %, and followed by a combination of e-nose-GC and principal component analysis (PCA) with an accuracy of 98.17 %. In conclusion, the combination of FTIR spectra and e-nose-GC data with chemometric techniques can be applied for a rapid, accurate and reliable methods for the discrimination of medicinal herbs from the Zingiberaceae family as well as herbal authentication and quality control of herbal products. 2022-01 Thesis http://eprints.uthm.edu.my/8256/ http://eprints.uthm.edu.my/8256/1/24p%20ASLIA%20NATASHA%20PAUZI.pdf text en public http://eprints.uthm.edu.my/8256/2/ASLIA%20NATASHA%20PAUZI%20COPYRIGHT%20DECLARATION.pdf text en staffonly http://eprints.uthm.edu.my/8256/3/ASLIA%20NATASHA%20PAUZI%20WATERMARK.pdf text en validuser mphil masters Universiti Tun Hussein Onn Malaysia Fakulti Sains Gunaan dan Teknologi
institution	Universiti Tun Hussein Onn Malaysia
collection	UTHM Institutional Repository
language	English English English
topic	T Technology (General)
spellingShingle	T Technology (General) Pauzi, Aslia Natasha Discrimination of zingiberaceae medicinal herbs Using analytical methods combined with chemometric techniques
description	Zingiberaceae is one of the well-known families that are widely used as herbal medicines due to its various beneficial values. However, substitution with closely related species has become a serious issue in the herbal industry due to similarities in their physical appearance. Therefore, the development of a method for herbal discrimination is crucial to ensure its accurate identity and authenticity. This study aims to evaluate the ability and effectiveness of analytical methods that consist of Fourier Transform Infrared (FTIR) spectroscopy and electronic nose based on gas chromatography (e-nose-GC) combined with chemometric techniques to discriminate selected Malaysian medicinal herbs from the Zingiberaceae family. Nine powdered rhizomes of the Zingiberaceae family consisting of Alpinia conchigera, Alpinia galanga, Curcuma longa, Curcuma xanthorrhiza, Curcuma zedoaria, Kaempferia galanga, Kaempferia pandurata, Zingiber officinale and Zingiber zerumbet were used in this study. The best discrimination method was determined based on its accuracy percentage of discrimination performance. Results show that all samples were successfully discriminated against using both analytical methods with the aid of chemometric techniques. The best method was conducted by a combination of e-nose-GC and discriminant factor analysis (DFA) with an accuracy of 99.02 %, and followed by a combination of e-nose-GC and principal component analysis (PCA) with an accuracy of 98.17 %. In conclusion, the combination of FTIR spectra and e-nose-GC data with chemometric techniques can be applied for a rapid, accurate and reliable methods for the discrimination of medicinal herbs from the Zingiberaceae family as well as herbal authentication and quality control of herbal products.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Pauzi, Aslia Natasha
author_facet	Pauzi, Aslia Natasha
author_sort	Pauzi, Aslia Natasha
title	Discrimination of zingiberaceae medicinal herbs Using analytical methods combined with chemometric techniques
title_short	Discrimination of zingiberaceae medicinal herbs Using analytical methods combined with chemometric techniques
title_full	Discrimination of zingiberaceae medicinal herbs Using analytical methods combined with chemometric techniques
title_fullStr	Discrimination of zingiberaceae medicinal herbs Using analytical methods combined with chemometric techniques
title_full_unstemmed	Discrimination of zingiberaceae medicinal herbs Using analytical methods combined with chemometric techniques
title_sort	discrimination of zingiberaceae medicinal herbs using analytical methods combined with chemometric techniques
granting_institution	Universiti Tun Hussein Onn Malaysia
granting_department	Fakulti Sains Gunaan dan Teknologi
publishDate	2022
url	http://eprints.uthm.edu.my/8256/1/24p%20ASLIA%20NATASHA%20PAUZI.pdf http://eprints.uthm.edu.my/8256/2/ASLIA%20NATASHA%20PAUZI%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/8256/3/ASLIA%20NATASHA%20PAUZI%20WATERMARK.pdf
_version_	1776103311932391424

Discrimination of zingiberaceae medicinal herbs Using analytical methods combined with chemometric techniques

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