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Pyrolysis GC-MS-based metabolite fingerprinting for quality evaluation of commercial Angelica acutiloba roots

Paper ID Volume ID Publish Year Pages File Format Full-Text
21548 43227 2010 5 PDF Available
Title
Pyrolysis GC-MS-based metabolite fingerprinting for quality evaluation of commercial Angelica acutiloba roots
Abstract

Metabolite fingerprinting was applied in the attempt to evaluate the quality of Angelica acutiloba dried roots (Yamato-toki). A pyrolyser coupled to a gas chromatography mass spectrometer (PY-GC-MS) was used to obtain higher chemical universality by analyzing whole compounds including high molecular weight metabolites. The machine was relatively fast and easy to use, with no sample preparation procedure required. Multivariate pattern recognition methods, specifically principal component analysis (PCA) and partial least square discriminant analysis (PLS-DA), were successful in discriminating various toki samples. In addition, an enhanced understanding of the dominant relationship of cultivation area to quality evaluation was conceptualized and therefore applied to the construction of a PLS-DA classification model which provided the basis for accurate and reliable predictivity.

Keywords
Metabolite fingerprinting; Angelica acutiloba; Multivariate analysis; Pyrolyser gas chromatography mass spectrometer; Principal component analysis; Partial least square discriminant analysis
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Pyrolysis GC-MS-based metabolite fingerprinting for quality evaluation of commercial Angelica acutiloba roots
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Publisher
Database: Elsevier - ScienceDirect
Journal: Journal of Bioscience and Bioengineering - Volume 109, Issue 1, January 2010, Pages 89–93
Authors
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Subjects
Physical Sciences and Engineering Chemical Engineering Bioengineering
Get Full-Text Now
Don't Miss Today's Special Offer
Price was $35.95
You save - $31
Price after discount Only $4.95
100% Money Back Guarantee
Full-text PDF Download
Online Support
Any Questions? feel free to contact us