Chemometric techniques in oil classification from oil spill fingerprinting. Issue 1 (15th October 2016)

• Record Type: Journal Article
• Authors: Ismail, Azimah; Toriman, Mohd Ekhwan; Juahir, Hafizan; Kassim, Azlina Md.; Zain, Sharifuddin Md; Ahmad, Wan Kamaruzaman Wan; Wong, Kok Fah; Retnam, Ananthy; Zali, Munirah Abdul; Mokhtar, Mazlin; Yusri, Mohd Ayub
• Is Part Of: Marine pollution bulletin. Volume 111:Issue 1/2(2016:Oct.)
• Page Start: 339
• Page End: 346
• Publication Date: 2016-10-15
• Subjects: Oil spill -- Peninsular Malaysia -- Principal component analysis -- Discriminant analysis -- Chemometric -- Fingerprinting; Marine pollution -- Periodicals; Marine Biology -- Periodicals; Water Pollution -- Periodicals; Mer -- Pollution -- Périodiques; Publications périodiques; Pollution des mers; Lutte antipollution; Electronic journals; 363.7394
• DOI: 10.1016/j.marpolbul.2016.06.089
• Languages: English
• ISSNs: 0025-326X

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. Highlights: Oil spill is non-biodegradable in water systems. GC/MS is used for oil spill source fingerprint to determine the types of oil spill. Determination of oil spill classification using chemometric techniques From stepwise forward regression, four variables are discriminated. Classification of oil spill sources can be carried out by using chemometric techniques.