Rapid fingerprinting technology of heavy oil spill by mid-infrared spectroscopy. Issue 2 (15th January 2021)

• Record Type: Journal Article
• Authors: Zhang, Lujun; Huang, Xiaodong; Fan, Xinmin; He, Weidong; Yang, Chun; Wang, Chunyan
• Is Part Of: Environmental technology. Volume 42:Issue 2(2021)
• Page Start: 270
• Page End: 278
• Publication Date: 2021-01-15
• Subjects: Mid-infrared spectroscopy (Mid-IR) -- gas chromatography/flame ionization detector (GC/FID) -- Principle Component Analysis (PCA) -- Partial Least Squares (PLS) -- oil species identification; Environmental engineering -- Periodicals; Environmental protection -- Periodicals; 628.05
• DOI: 10.1080/09593330.2019.1626913
• Languages: English
• ISSNs: 0959-3330

Abstract

ABSTRACT: With the increase of unconventional oil production and transportation, the detection methods of light crude oil have been challenged. Mid-Infrared spectroscopy can reflect the functional group of the oil related samples, which has strong absorption signals with distinguishable peaks featured as a fast, economy, and robust technique. Nevertheless, the previous study and application of oil relevant samples, such as petroleum chemical industry online monitoring, are mainly based on Near-infrared spectroscopy. Recently, the rapid development of the spectral instrument manufacturing and the data analysis methods provides a more comprehensive technical support for the rapid and accurate identification of marine oil spill by Mid-infrared spectroscopy. In this paper, 10 crude oil samples were selected for infrared spectroscopy detection, and the results were analysed and compared with those of gas chromatography flame ionization detection method. The character information of the IR spectra and GC/FID chromatograms were extracted and classified both by principal component analysis and partial least squares regression. Under the condition of small sample size, the recognition accuracy was up to 100%. The results show that the mid-infrared method combined with chemometrics can be expected to achieve rapid, accurate and economical identification of heavy oil species. GRAPHICAL ABSTRACT: UF0001