Development of Chromatographic Fingerprints of Eurycoma longifolia (Tongkat Ali) Roots Using Online Solid Phase Extraction-Liquid Chromatography (SPE-LC)

E. longifolia is attracting interest due to its pharmacological properties and pro-vitality effects. In this study, an online SPE-LC approach using polystyrene divinyl benzene (PSDVB) and C18 columns was developed in obtaining chromatographic fingerprints of E. longifolia. E. longifolia root samples...

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Main Authors: Hafizan, Juahir, Nor Nasriah, Zaini, Rozita, Osman
Format: Article
Language:English
English
English
Published: MDPI AG 2016
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Online Access:http://eprints.unisza.edu.my/7368/1/FH02-ESERI-16-05986.pdf
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spelling my-unisza-ir.73682022-09-13T04:43:40Z http://eprints.unisza.edu.my/7368/ Development of Chromatographic Fingerprints of Eurycoma longifolia (Tongkat Ali) Roots Using Online Solid Phase Extraction-Liquid Chromatography (SPE-LC) Hafizan, Juahir Nor Nasriah, Zaini Rozita, Osman QD Chemistry R Medicine (General) E. longifolia is attracting interest due to its pharmacological properties and pro-vitality effects. In this study, an online SPE-LC approach using polystyrene divinyl benzene (PSDVB) and C18 columns was developed in obtaining chromatographic fingerprints of E. longifolia. E. longifolia root samples were extracted using pressurized liquid extraction (PLE) technique prior to online SPE-LC. The effects of mobile phase compositions and column switching time on the chromatographic fingerprint were optimized. Validation of the developed method was studied based on eurycomanone. Linearity was in the range of 5 to 50 µg¨mL´1 (r2 = 0.997) with 3.2% relative standard deviation of peak area. The developed method was used to analyze 14 E. longifolia root samples and 10 products (capsules). Selected chemometric techniques: cluster analysis (CA), discriminant analysis (DA), and principal component analysis (PCA) were applied to the fingerprint datasets of 37 selected peaks to evaluate the ability of the chromatographic fingerprint in classifying quality of E. longifolia. Three groups were obtained using CA. DA yielded 100% correlation coefficient with 19 discriminant compounds. Using PCA, E. longifolia root samples were clearly discriminated from the products. This study showed that the developed online SPE-LC method was able to provide comprehensive evaluation of E. longifolia samples for quality control purposes. MDPI AG 2016-05 Article PeerReviewed text en http://eprints.unisza.edu.my/7368/1/FH02-ESERI-16-05986.pdf image en http://eprints.unisza.edu.my/7368/2/FH02-ESERI-16-06112.jpg image en http://eprints.unisza.edu.my/7368/3/FH02-ESERI-16-06936.jpg Hafizan, Juahir and Nor Nasriah, Zaini and Rozita, Osman (2016) Development of Chromatographic Fingerprints of Eurycoma longifolia (Tongkat Ali) Roots Using Online Solid Phase Extraction-Liquid Chromatography (SPE-LC). Molecules, 21 (5). pp. 1-10. ISSN 1420-3049
institution Universiti Sultan Zainal Abidin
building UNISZA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sultan Zainal Abidin
content_source UNISZA Institutional Repository
url_provider https://eprints.unisza.edu.my/
language English
English
English
topic QD Chemistry
R Medicine (General)
spellingShingle QD Chemistry
R Medicine (General)
Hafizan, Juahir
Nor Nasriah, Zaini
Rozita, Osman
Development of Chromatographic Fingerprints of Eurycoma longifolia (Tongkat Ali) Roots Using Online Solid Phase Extraction-Liquid Chromatography (SPE-LC)
description E. longifolia is attracting interest due to its pharmacological properties and pro-vitality effects. In this study, an online SPE-LC approach using polystyrene divinyl benzene (PSDVB) and C18 columns was developed in obtaining chromatographic fingerprints of E. longifolia. E. longifolia root samples were extracted using pressurized liquid extraction (PLE) technique prior to online SPE-LC. The effects of mobile phase compositions and column switching time on the chromatographic fingerprint were optimized. Validation of the developed method was studied based on eurycomanone. Linearity was in the range of 5 to 50 µg¨mL´1 (r2 = 0.997) with 3.2% relative standard deviation of peak area. The developed method was used to analyze 14 E. longifolia root samples and 10 products (capsules). Selected chemometric techniques: cluster analysis (CA), discriminant analysis (DA), and principal component analysis (PCA) were applied to the fingerprint datasets of 37 selected peaks to evaluate the ability of the chromatographic fingerprint in classifying quality of E. longifolia. Three groups were obtained using CA. DA yielded 100% correlation coefficient with 19 discriminant compounds. Using PCA, E. longifolia root samples were clearly discriminated from the products. This study showed that the developed online SPE-LC method was able to provide comprehensive evaluation of E. longifolia samples for quality control purposes.
format Article
author Hafizan, Juahir
Nor Nasriah, Zaini
Rozita, Osman
author_facet Hafizan, Juahir
Nor Nasriah, Zaini
Rozita, Osman
author_sort Hafizan, Juahir
title Development of Chromatographic Fingerprints of Eurycoma longifolia (Tongkat Ali) Roots Using Online Solid Phase Extraction-Liquid Chromatography (SPE-LC)
title_short Development of Chromatographic Fingerprints of Eurycoma longifolia (Tongkat Ali) Roots Using Online Solid Phase Extraction-Liquid Chromatography (SPE-LC)
title_full Development of Chromatographic Fingerprints of Eurycoma longifolia (Tongkat Ali) Roots Using Online Solid Phase Extraction-Liquid Chromatography (SPE-LC)
title_fullStr Development of Chromatographic Fingerprints of Eurycoma longifolia (Tongkat Ali) Roots Using Online Solid Phase Extraction-Liquid Chromatography (SPE-LC)
title_full_unstemmed Development of Chromatographic Fingerprints of Eurycoma longifolia (Tongkat Ali) Roots Using Online Solid Phase Extraction-Liquid Chromatography (SPE-LC)
title_sort development of chromatographic fingerprints of eurycoma longifolia (tongkat ali) roots using online solid phase extraction-liquid chromatography (spe-lc)
publisher MDPI AG
publishDate 2016
url http://eprints.unisza.edu.my/7368/1/FH02-ESERI-16-05986.pdf
http://eprints.unisza.edu.my/7368/2/FH02-ESERI-16-06112.jpg
http://eprints.unisza.edu.my/7368/3/FH02-ESERI-16-06936.jpg
http://eprints.unisza.edu.my/7368/
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