Sains Malaysiana 34(2): 35-41 (2005)

The Use of Multivariate Statistical Analysis

in Lipid Biomarker Studies

(Penggunaan Analisis Statistik Multivariat

dalam Kajian Penanda Lipid)

Masni Mohd Ali

School of Environment and Natural Resource Sciences

Faculty of Science and Technology

Universiti Kebangsaan Malaysia

43600 UKM Bangi, Selangor D.E.Malaysia

Stephen M. Mudge

School of Ocean Sciences

University of Wales

Bangor, Menai Bridge

Anglesey LL59 5AB

United Kingdom

ABSTRACT

Fatty acids, fatty alcohols and sterols have been determined for a sediment core taken from the Conwy Estuary, United Kingdom. These biomarkers were used to identify temporal variations in organic matter sources within the estuary. Principal Component Analysis (PCA) was used to distinguish the dominant source signatures. PCA for individual chemical group successfully classified fatty acids, fatty alcohols and sterols as either principally terrestrial or principally marine/bacterial. However, PCA was not able to separate the marine and bacterial derived compounds. The same observation was shown when PCA was carried out with the combination of fatty acids, fatty alcohols and sterols.

Keywords: PCA, lipid biomarker, multivariate

ABSTRAK

Asid lemak, alcohol lemak dan sterol telah ditentukan di dalam turus sedimen yang diambil daripada Estuari Conwy, United Kingdom. Penanda biologi ini dig una untuk menentukan variasi temporal bagi sumber bahan organik di dalam estuari tersebut. Analisis Komponen Utama (PCA) diguna untuk membezakan sumber yang dominan. Analisis ini telah berjaya mengklasifikasikan asid lemak, alkohol lemak dan sterol sama ada terestrial atau marin dan bakteria bagi kumpulan kimia individu. Walau bagaimanapun, PCA tidak berjaya membezakan sebatian yang berasal daripada marin dan bakteria. Pemerhatian yang sama juga ditunjukkan apabila PCA dilakukan ke atas gabungan sebatian asid lemak, alcohol  lemak dan sterol.

Kata kunci: PCA, penanda biologi, analisis multivariat

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