Characterization of Marine Oil Spills by Diagnostic Ratios, Wavelet Coefficients, and Ratio of Nickel to Vanadium with Chemometric Treatment and a Fisher Discriminant Model. (24th March 2022)

• Record Type: Journal Article
• Authors: Xu, Haowei; Liu, Xiaoxing; Guo, Hongfa; Yang, Daowei; Guo, Weijun; Gong, Weimin
• Is Part Of: Analytical letters. Volume 55:Number 5(2022)
• Page Start: 728
• Page End: 740
• Publication Date: 2022-03-24
• Subjects: Diagnostic ratio -- Fisher discriminant model -- fluorescence -- multidimensional chemical fingerprinting -- ratio of nickel to vanadium; Chemistry, Analytic -- Periodicals; Chemistry, Analytic -- Abstracts; 543
• DOI: 10.1080/00032719.2021.1965155
• Languages: English
• ISSNs: 0003-2719

Abstract

Abstract: Most identification methods for marine oil spills rely on single-dimensional chemical fingerprinting that is ineffective for weathered oil. A quantitative identification method is proposed in this study based upon multi-dimensional chemical fingerprinting composed of diagnostic ratios, wavelet coefficient, and the Ni/V. Twenty oil samples were used including 6 marine fuels, 7 Middle Eastern crude oils, and 7 non-Middle East crude oils. Diagnostic ratios were discussed using partial least square analysis, and fluorescence spectra were analyzed by db7 wavelet basis of 6-layers in the discrete wavelet transform. The first principal component and the wavelet coefficient at 354 ± 2 nm were combined with Ni/V and optimized by an exhaustive method as variables to establish the Fisher discriminant model. The developed model had 100% accuracy for modeled oil samples and for non-modeled crude oil before and after weathering, respectively, with 83.3% accuracy for non-modeled or short-term weathered marine fuel. The accuracy was 3% higher than reported in the literature.