The application of a handheld mid-infrared spectrometry for rapid measurement of oil contamination in agricultural sites

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dc.contributor.authorDouglas, R. K.
dc.contributor.authorNawar, S.
dc.contributor.authorAlamar, M. Carmen
dc.contributor.authorCoulon, Frederic
dc.contributor.authorMouazen, A. M.
dc.date.accessioned2019-04-02T10:09:17Z
dc.date.available2019-04-02T10:09:17Z
dc.date.issued2019-02-07
dc.description.abstractRapid analysis of oil-contaminated soils is important to facilitate risk assessment and remediation decision-making process. This study reports on the potential of a handheld mid-infrared (MIR) spectrometer for the prediction of total petroleum hydrocarbons (TPH), including aliphatic (alkanes) and polycyclic aromatic hydrocarbons (PAH) in limited number of fresh soil samples. Partial least squares regression (PLSR) and random forest (RF) modelling techniques were compared for the prediction of alkanes, PAH, and TPH concentrations in soil samples (n = 85) collected from three contaminated sites located in the Niger Delta, Southern Nigeria. Results revealed that prediction of RF models outperformed the PLSR with coefficient of determination (R2) values of 0.80, 0.79 and 0.72, residual prediction deviation (RPD) values of 2.35, 1.96, and 2.72, and root mean square error of prediction (RMSEP) values of 63.80, 83.0 and 65.88 mg kg−1 for TPH, alkanes, and PAH, respectively. Considering the limited dataset used in the independent validation (18 samples), accurate predictions were achieved with RF for PAH and TPH, while the prediction for alkanes was less accurate. Therefore, results suggest that RF calibration models can be used successfully to predict TPH and PAH using handheld MIR spectrophotometer under field measurement conditions.en_UK
dc.identifier.citationDouglas RK, Nawar S, Alamar MC, et al., The application of a handheld mid-infrared spectrometry for rapid measurement of oil contamination in agricultural sites. Science of The Total Environment, Volume 665, May 2019, pp. 253-261en_UK
dc.identifier.issn0048-9697
dc.identifier.urihttps://doi.org/10.1016/j.scitotenv.2019.02.065
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/14028
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectMid-infrared reflectance spectroscopyen_UK
dc.subjectPetroleum-hydrocarbon contaminationen_UK
dc.subjectRandom foresten_UK
dc.subjectPartial least squares regressionen_UK
dc.titleThe application of a handheld mid-infrared spectrometry for rapid measurement of oil contamination in agricultural sitesen_UK
dc.typeArticleen_UK

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