DOI: 10.1016/j.marpolbul.2016.06.089
Scopus记录号: 2-s2.0-84991020722
论文题名: Chemometric techniques in oil classification from oil spill fingerprinting
作者: Ismail A. ; Toriman M.E. ; Juahir H. ; Kassim A.M. ; Zain S.M. ; Ahmad W.K.W. ; Wong K.F. ; Retnam A. ; Zali M.A. ; Mokhtar M. ; Yusri M.A.
刊名: Marine Pollution Bulletin
ISSN: 0025-326X
EISSN: 1879-3363
出版年: 2016
卷: 111, 期: 2018-01-02 起始页码: 339
结束页码: 346
语种: 英语
英文关键词: Chemometric
; Discriminant analysis
; Fingerprinting
; Oil spill
; Peninsular Malaysia
; Principal component analysis
Scopus关键词: Chemical analysis
; Data handling
; Discriminant analysis
; Fuel oils
; Mixtures
; Oil spills
; Anthropogenic activity
; Chemometric techniques
; Chemometrices
; Diagnostic tools
; Fingerprinting
; Malaysia
; Oil classification
; Oil spill pollution
; Principal component analysis
; petroleum
; fuel oil
; petroleum
; chemical property
; discriminant analysis
; oil spill
; principal component analysis
; Article
; chemical analysis
; chemical composition
; chemometric analysis
; concentration (parameters)
; discriminant analysis
; environmental impact assessment
; flame ionization detection
; gas chromatography
; geographic distribution
; mass fragmentography
; oil spill
; physical chemistry
; principal component analysis
; validation study
; water pollution
; water sampling
; analysis
; cluster analysis
; Malaysia
; oil spill
; procedures
; East Malaysia
; Malaysia
; Sabah
; West Malaysia
; Chromatography, Gas
; Cluster Analysis
; Fuel Oils
; Gas Chromatography-Mass Spectrometry
; Malaysia
; Petroleum
; Petroleum Pollution
; Principal Component Analysis
Scopus学科分类: Agricultural and Biological Sciences: Aquatic Science
; Earth and Planetary Sciences: Oceanography
; Environmental Science: Pollution
英文摘要: 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. © 2016 Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/86743
Appears in Collections: 过去全球变化的重建 全球变化的国际研究计划
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作者单位: East Coast Environmental Research Institute (ESERI), Universiti Sultan Zainal Abidin, Gong Badak Campus, Kuala Terengganu, Malaysia; Faculty of Design and Engineering, Universiti Sultan Zainal Abidin, Gong Badak Campus, Kuala Terengganu, Malaysia; Environmental Health Division, Department of Chemistry Malaysia, Ministry of Science, Technology and Innovation, Jalan Sultan, Petaling Jaya, Selangor, Malaysia; Chemistry Department, University of Malaya, Kuala Lumpur, Malaysia; Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia
Recommended Citation:
Ismail A.,Toriman M.E.,Juahir H.,et al. Chemometric techniques in oil classification from oil spill fingerprinting[J]. Marine Pollution Bulletin,2016-01-01,111(2018-01-02)