Multivariate data analysis-NMR and LCMS

Khatib, Alfi (2019) Multivariate data analysis-NMR and LCMS. In: Metabolomics Workshop, Agro-Biotechnology Institute Malaysia and Genom Malaysia, Agro-Biotechnology Institute Malaysia, Serdang, Malaysia. (Unpublished)

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Abstract

Metabolomics is becoming a trending approach in herbal science. It requires a statistical tool covering multi-variables correlating to signals from analytical instruments. This statistical calculation is called multivariate data analysis. It extracts information from data with multiple variables of which are calculated simultaneously. Multivariate data analysis produces an underlying trend or latent variable in order to reduce a statistical error. In another word, it reduces the dimensional of the variables by projection. This approach avoids the loss of information or missing data, therefore it develops a more stable model. In this presentation, a basic theory of multivariate data analysis is explained as well as examples of its application in NMR and LC-MS based metabolomics.

Item Type:	Conference or Workshop Item (Invited Papers)
Additional Information:	6915/87074
Uncontrolled Keywords:	multivariate data analysis, metabolomis, nuclear magnetic resonance spectroscopy, liquid chromatography tandem mass spectrometry, statistics
Subjects:	Q Science > Q Science (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Pharmacy > Department of Pharmaceutical Chemistry
Depositing User:	Dr. Alfi Khatib
Date Deposited:	30 Dec 2020 08:43
Last Modified:	30 Dec 2020 08:43
URI:	http://irep.iium.edu.my/id/eprint/87074

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