Pattern recognition analysis of gas chromatographic and infrared spectroscopic fingerprints of crude oil for source identification

Hashemi-Nasab, Fatemeh Sadat; Parastar, Hadi

doi:10.1016/j.microc.2019.104326

Cited by 22 publications

(11 citation statements)

References 34 publications

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“…Meanwhile, to identify the unique profiles of crude oil for source identification, Hashemi-Nasab et al used a combination of gas chromatography (GC) and IR spectroscopy paired with machine learning methods. 49 They achieved high classification rates for the differentiation of nine crude oil samples from the main oil wells of Iran. In the future, using the compositional pattern to characterize the type of crude oil (heavy or light), these results may help the environmental forensic area determine the crude oil source.…”

Section: ■ Introductionmentioning

confidence: 99%

Innovative Vibrational Spectroscopy Research for Forensic Application

et al. 2023

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Section: ■ Introductionmentioning

confidence: 99%

Innovative Vibrational Spectroscopy Research for Forensic Application

et al. 2023

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“…That is, it could determine molecular structures from complex sample matrices and simultaneously quantitatively analyze multiple compounds from mixtures [ 21 , 22 ]. In addition, quantitative nuclear magnetic resonance spectroscopy combined with multivariate data analysis technology can simultaneously detect all active components of organic substances, which makes it possible to carry out overall identification and evaluation of asphalt aging [ 23 , 24 ].…”

Section: Introductionmentioning

confidence: 99%

The Fingerprint Identification of Asphalt Aging Based on 1H-NMR and Chemometrics Analysis

Wang

Zhao

et al. 2022

Materials

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In this study, the chemical structure of asphalt aging was analyzed and identified based on 1H-NMR quantitative technology and chemometrics analysis. The characteristic full component information of 30 samples before and after aging from 5 different oil sources was measured by 1H-NMR, and the results were converted into a data matrix. This study used PCA, HAC, OPLS-DA, and Fisher discriminant analysis to evaluate the change rules of the chemical composition of asphalt from different oil sources after aging. The results showed that the 1H-NMR spectra of 30 asphalt samples were very similar, and hydrogen could be divided into 4 categories according to the chemical shift: HA, Hα, Hβ, and Hγ. The shapes of 1H-NMR of asphalt samples from different oil sources showed slight differences, while the shapes of the 1H-NMR spectra of asphalt samples with different aging degrees from the same oil source was basically the same. The results of PCA and HAC analysis showed that the samples of the same asphalt and asphalt with similar oil sources before and after aging were still in the same category, and the spatial distance was very close, while the spatial distance of asphalts from different oil sources was very different. The Fisher discriminant function established by PCA and HAC can be used to distinguish asphalt samples from different oil sources with an accuracy of up to 100%.

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“…Asphaltenes normally have the molecular weight among 250–1200 g/mol and consist of a polycyclic aromatic hydrocarbon (PAH) core with fused rings and surrounded by short alkyl chains. , They also contain some heteroatoms (S, O, N, etc.) and metal atoms (V, Fe, Ni, etc.)…”

Section: Introductionmentioning

confidence: 99%

Effect of Aromatic Pendants in a Maleic Anhydride-co-Octadecene Polymer on the Precipitation of Asphaltenes Extracted from Heavy Crude Oil

Cheng

Zou

et al. 2021

Energy Fuels

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The precipitation and deposition of asphaltenes often cause great troubles to the recovery and transportation of crude oil. Adding polymer inhibitors is an effective approach to prevent asphaltenes from clogging. In this study, maleic anhydrideco-octadecene copolymers with imidazolyl, phenyl, and pyridyl pendants were synthesized. The inhibition behaviors of two extracted asphaltenes in the presence of these copolymers were investigated, which were also identified by the rheological tests of the heavy crude oil sample. The chemical structure of both asphaltenes was analyzed by Fourier transform infrared spectroscopy (FTIR), nuclear magnetic resonance (NMR), elemental analysis, and time-of-flight (TOF) spectrometry. Both asphaltenes A and B have a high aromaticity and low H/C. However, asphaltene B has a much higher aromaticity and polarity than that of asphaltene A. Ultraviolet−visible spectroscopy, turbidity meter, and dynamic light scattering (DLS) were employed to determine the precipitation behaviors of asphaltenes in the absence and presence of copolymers. The influence of intrinsic properties of asphaltenes, polymer concentration, and aromatic group grafting ratio on asphaltene precipitation were also compared. It is found that the initial precipitation point (IPP) of both asphaltenes is increased most by the copolymer containing 2-aminopyridine (PMO-2-P), while the copolymer containing N-(3-aminopropyl)imidazole (PMO-I) shows the worst inhibition performance. It is because that pyridine group has a stronger adsorption capacity with asphaltene than the imidazole group. The effect of various functional groups in copolymers on inhibiting asphaltene precipitation conforms to the following sequence: 2-aminopyridine > aniline > 4aminopyridine > N-(3-aminopropyl)imidazole. It is also found that high polymer concentration and grafting ratio are beneficial to inhibit the asphaltene precipitation. As a result of the π−π conjugation and hydrogen-bonding attractions between the aromatic groups in the copolymers and the asphaltenes, the polymers can be stably adsorbed onto the surface of the asphaltenes and prevent their aggregation.

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Pattern recognition analysis of gas chromatographic and infrared spectroscopic fingerprints of crude oil for source identification

Cited by 22 publications

References 34 publications

Innovative Vibrational Spectroscopy Research for Forensic Application

Innovative Vibrational Spectroscopy Research for Forensic Application

The Fingerprint Identification of Asphalt Aging Based on 1H-NMR and Chemometrics Analysis

Effect of Aromatic Pendants in a Maleic Anhydride-co-Octadecene Polymer on the Precipitation of Asphaltenes Extracted from Heavy Crude Oil

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