Chemometric techniques in oil classification from oil spill fingerprinting

Azimah Ismail, Mohd. Ekhwan Toriman, Hafizan Juahir, Azlina Md Kassim, Sharifuddin Md Zain, Wan Kamaruzaman Wan Ahmad, Kok Fah Wong, Ananthy Retnam, Munirah Abdul Zali, Mazlin Mokhtar, Mohd Ayub Yusri

Research output: Contribution to journalArticle

9 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)339-346
Number of pages8
JournalMarine Pollution Bulletin
Volume111
Issue number1-2
DOIs
Publication statusPublished - 15 Oct 2016

Fingerprint

chemometrics
oil spills
Oil spills
oil spill
oils
oil
fuel oils
Fuel oils
methodology
Malaysia
Residual fuels
diesel
principal component analysis
Principal component analysis
Oils
discriminant analysis
Discriminant analysis
Borneo
chemical property
human activity

Keywords

  • Chemometric
  • Discriminant analysis
  • Fingerprinting
  • Oil spill
  • Peninsular Malaysia
  • Principal component analysis

ASJC Scopus subject areas

  • Oceanography
  • Aquatic Science
  • Pollution

Cite this

Ismail, A., Toriman, M. E., Juahir, H., Kassim, A. M., Zain, S. M., Ahmad, W. K. W., ... Yusri, M. A. (2016). Chemometric techniques in oil classification from oil spill fingerprinting. Marine Pollution Bulletin, 111(1-2), 339-346. https://doi.org/10.1016/j.marpolbul.2016.06.089

Chemometric techniques in oil classification from oil spill fingerprinting. / 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.

In: Marine Pollution Bulletin, Vol. 111, No. 1-2, 15.10.2016, p. 339-346.

Research output: Contribution to journalArticle

Ismail, A, Toriman, ME, Juahir, H, Kassim, AM, Zain, SM, Ahmad, WKW, Wong, KF, Retnam, A, Zali, MA, Mokhtar, M & Yusri, MA 2016, 'Chemometric techniques in oil classification from oil spill fingerprinting', Marine Pollution Bulletin, vol. 111, no. 1-2, pp. 339-346. https://doi.org/10.1016/j.marpolbul.2016.06.089
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. / Chemometric techniques in oil classification from oil spill fingerprinting. In: Marine Pollution Bulletin. 2016 ; Vol. 111, No. 1-2. pp. 339-346.
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