Chemometric techniques in oil classification from oil spill fingerprinting

Ismail, Azimah and Toriman, Mohd Ekhwan and Juahir, Hafizan and Md. Kassim, Azlina and Zain, Sharifuddin Md and Ahmad, Wan Kamaruzaman Wan and Wong, Kok Fah and Retnam, Ananthy and Zali, Munirah Abdul and Mokhtar, Mazlin and Yusri, Mohd Ayub (2016) Chemometric techniques in oil classification from oil spill fingerprinting. Marine Pollution Bulletin , - (-). . ISSN 0025-326X (printed) 1879-3363 (Online) (In Press)

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Abstract

Abstract Extended use of GC�FID and GC�MS in oil spill fingerprinting and matching is significantly important for oil classification from the oil spill sources collected from various areas of Peninsular Malaysia and Sabah (East Malaysia). Oil spill fingerprinting from GC�FID and GC�MS coupled with chemometric techniques (discriminant analysis and principal component analysis) is used as a diagnostic tool to classify the types of oil polluting the water. Clustering and discrimination of oil spill compounds in the water from the actual site of oil spill events are divided into four groups viz. diesel, Heavy Fuel Oil (HFO), Mixture Oil containing Light Fuel Oil (MOLFO) and Waste Oil (WO) according to the similarity of their intrinsic chemical properties. Principal component analysis (PCA) demonstrates that diesel, HFO, {MOLFO} and {WO} are types of oil or oil products from complex oil mixtures with a total variance of 85.34 and are identified with various anthropogenic activities related to either intentional releasing of oil or accidental discharge of oil into the environment. Our results show that the use of chemometric techniques is significant in providing independent validation for classifying the types of spilled oil in the investigation of oil spill pollution in Malaysia. This, in consequence would result in cost and time saving in identification of the oil spill sources.

Item Type: Article
Keywords: Fingerprinting
Subjects: Q Science > QD Chemistry
Faculty / Institute: East Coast Environmental Research Institute (ESERI)
Depositing User: Assc. Prof Hafizan Juahir
Date Deposited: 20 Jul 2016 02:36
Last Modified: 20 Jul 2016 02:36
URI: http://erep.unisza.edu.my/id/eprint/4985

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