Application of infrared spectrum for rapid classification of dominant petroleum hydrocarbon fractions for contaminated site assessment

Wang, Liang and Cheng, Ying and Lamb, Dane and Dharmarajan, Raja and Chadalavada, Sreenivasulu ORCID: https://orcid.org/0000-0002-5000-8313 and Naidu, Ravi (2019) Application of infrared spectrum for rapid classification of dominant petroleum hydrocarbon fractions for contaminated site assessment. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 207. pp. 183-188. ISSN 1386-1425


Abstract

In this study, the infrared spectrum (4000–400 cm−1) was applied to identify and classify the different alkanes based on carbon chain length (Cn). It was found there were two bands coherent to the doublet at location 2954 and 2872 cm−1, respectively can be applied to identify the fraction of carbon chains. From C20 to C37, by the increase of the Cn, the intensities of the two bands were reduced as demonstrated. There were another two doublets existed at the region from 1480 to 1450 cm−1 and the region at 750 and 730 cm−1. It was observed the intensity of one coherent band at each of these regions was increased following the increase on the Cn. The bands center at 1462 and 730 cm−1 were increased from C20 to C37. The intensity ratio of the coherent bands can be applied to identify the Cn. Successfully identify four different petroleum products with different fractions of carbon chains in soil samples, is evidence the theory can be applied to investigate the fraction of carbon chains in soil. Coupling with handheld FTIR, it is possible to rapidly estimate the dominant fraction of Cn in soil in field.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Faculty/School / Institute/Centre: No Faculty
Faculty/School / Institute/Centre: No Faculty
Date Deposited: 04 Mar 2022 02:00
Last Modified: 28 Mar 2022 03:28
Uncontrolled Keywords: Alkanes; Carbon chain length (Cn); Handheld FTIR; Petroleum hydrocarbon; Rapid site assessment
Fields of Research (2020): 40 ENGINEERING > 4011 Environmental engineering > 401199 Environmental engineering not elsewhere classified
Identification Number or DOI: https://doi.org/10.1016/j.saa.2018.09.024
URI: http://eprints.usq.edu.au/id/eprint/47329

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