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A fast and reliable 2d-ir spectroscopic technique for herbal leaves classification

The safety and quality of herbal products are of great importance. People take herbal products with the intention for health improvement and overall well-being. Both chromatographic and spectroscopic techniques have been proven for their effectiveness in phytochemical fingerprinting and profiling. T...

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Main Authors:	Azlan, M. A. F., Chua, L. S., Abdullah, F. I., Yam, M. F.
Format:	Article
Published:	Elsevier BV. 2020
Subjects:	TP Chemical technology
Online Access:	http://eprints.utm.my/id/eprint/87804/ http://www.dx.doi.org/10.1016/j.vibspec.2019.103014
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spelling	my.utm.878042020-11-30T13:20:58Z http://eprints.utm.my/id/eprint/87804/ A fast and reliable 2d-ir spectroscopic technique for herbal leaves classification Azlan, M. A. F. Chua, L. S. Abdullah, F. I. Yam, M. F. TP Chemical technology The safety and quality of herbal products are of great importance. People take herbal products with the intention for health improvement and overall well-being. Both chromatographic and spectroscopic techniques have been proven for their effectiveness in phytochemical fingerprinting and profiling. The present study describes the application of advanced two dimensional correlation infrared spectroscopy (2D-IR), and followed by chemometrics for herbal leaves classification. The 2D-IR could ascertain small difference and reveal for any overlapping peaks compared to conventional FTIR technique. There were 13 herbs selected and their dried leaves in fine powder form were used for spectral scanning from 400 to 4000 cm−1. The absorption signals were analysed by principal component analysis (PCA) and hierarchical clustering analysis (HCA). It was found that the wavenumber of 1800–900 cm−1 was the dominant region of identification and discrimination. The region was found to have signals attributed to the functional groups of C[sbnd]O, C[dbnd]O and C[dbnd]C stretching, and C[sbnd]H and O[sbnd]H bending. Both PCA and HCA could cluster the IR spectral data of the herbs into 4 distinct groups. There was no significant relationship of leaf morphology and phytoconstituents similarity. Somehow, hairy (Strobilanthes crispa and Morus alba) and waxy (Eurycoma longifolia and Citrus hystrix) leaf surfaces of the herbs are still grouped together after data extraction and reduction using the pattern recognition tools. The classification was also verified by introducing another 3 new spectral data (S. crispa, M. alba and Ficus deltoidea) into the statistical analysis. The new dataset was found to be located at the position near to their individual plant species in both score plot and dendrogram. Although the absorption signals of the new dataset were obtained from their aqueous crude extract, 2D-IR spectroscopic analysis was still capable to capture the key features of discrimination for classification in a precise and rapid manner. Elsevier BV. 2020-01 Article PeerReviewed Azlan, M. A. F. and Chua, L. S. and Abdullah, F. I. and Yam, M. F. (2020) A fast and reliable 2d-ir spectroscopic technique for herbal leaves classification. Vibrational Spectroscopy, 106 . ISSN 0924-2031 http://www.dx.doi.org/10.1016/j.vibspec.2019.103014 DOI: 10.1016/j.vibspec.2019.103014
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/
topic	TP Chemical technology
spellingShingle	TP Chemical technology Azlan, M. A. F. Chua, L. S. Abdullah, F. I. Yam, M. F. A fast and reliable 2d-ir spectroscopic technique for herbal leaves classification
description	The safety and quality of herbal products are of great importance. People take herbal products with the intention for health improvement and overall well-being. Both chromatographic and spectroscopic techniques have been proven for their effectiveness in phytochemical fingerprinting and profiling. The present study describes the application of advanced two dimensional correlation infrared spectroscopy (2D-IR), and followed by chemometrics for herbal leaves classification. The 2D-IR could ascertain small difference and reveal for any overlapping peaks compared to conventional FTIR technique. There were 13 herbs selected and their dried leaves in fine powder form were used for spectral scanning from 400 to 4000 cm−1. The absorption signals were analysed by principal component analysis (PCA) and hierarchical clustering analysis (HCA). It was found that the wavenumber of 1800–900 cm−1 was the dominant region of identification and discrimination. The region was found to have signals attributed to the functional groups of C[sbnd]O, C[dbnd]O and C[dbnd]C stretching, and C[sbnd]H and O[sbnd]H bending. Both PCA and HCA could cluster the IR spectral data of the herbs into 4 distinct groups. There was no significant relationship of leaf morphology and phytoconstituents similarity. Somehow, hairy (Strobilanthes crispa and Morus alba) and waxy (Eurycoma longifolia and Citrus hystrix) leaf surfaces of the herbs are still grouped together after data extraction and reduction using the pattern recognition tools. The classification was also verified by introducing another 3 new spectral data (S. crispa, M. alba and Ficus deltoidea) into the statistical analysis. The new dataset was found to be located at the position near to their individual plant species in both score plot and dendrogram. Although the absorption signals of the new dataset were obtained from their aqueous crude extract, 2D-IR spectroscopic analysis was still capable to capture the key features of discrimination for classification in a precise and rapid manner.
format	Article
author	Azlan, M. A. F. Chua, L. S. Abdullah, F. I. Yam, M. F.
author_facet	Azlan, M. A. F. Chua, L. S. Abdullah, F. I. Yam, M. F.
author_sort	Azlan, M. A. F.
title	A fast and reliable 2d-ir spectroscopic technique for herbal leaves classification
title_short	A fast and reliable 2d-ir spectroscopic technique for herbal leaves classification
title_full	A fast and reliable 2d-ir spectroscopic technique for herbal leaves classification
title_fullStr	A fast and reliable 2d-ir spectroscopic technique for herbal leaves classification
title_full_unstemmed	A fast and reliable 2d-ir spectroscopic technique for herbal leaves classification
title_sort	fast and reliable 2d-ir spectroscopic technique for herbal leaves classification
publisher	Elsevier BV.
publishDate	2020
url	http://eprints.utm.my/id/eprint/87804/ http://www.dx.doi.org/10.1016/j.vibspec.2019.103014
_version_	1685578991983919104
score	13.211869

A fast and reliable 2d-ir spectroscopic technique for herbal leaves classification

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