A Rapid Method of Crude Oil Analysis Using FT-IR Spectroscopy

Abdulkadir, I.; Uba, S.; A., A. Salihu; Almustapha, M. N.

doi:10.4314/njbas.v24i1.8

Cited by 34 publications

(20 citation statements)

References 8 publications

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“…Degradation of crude oil components by the potent bacterial strains was further confirmed by FTIR analysis. FTIR analysis has been used by various researchers to classify the dominant petroleum hydrocarbon fractions in the contaminated sites based on the carbon chain length 60,61,37 . Application of FTIR study was also reported in the study of microbial degradation of hydrocarbon contaminants 62,63 .…”

Section: Discussionmentioning

confidence: 99%

Screening of Bacteria Isolated from Refinery Sludge of Assam for Hydrocarbonoclastic Activities

Devi¹,

Jha²

2020

J Pure Appl Microbiol

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Oily sludge generated by petroleum industries results in serious hazards to the environment due to its toxic effects. Microorganisms can survive in the harsh environment utilizing the pollutants as their sole source of carbon and energy. The present study was carried out to isolate and characterize the bacterial population present in the refinery wastes collected from Bongaigaon Refinery, Assam, India. The diversity of bacteria was significantly correlated (p< 0.05) with the physicochemical characteristics and level of hydrocarbon content of the studied samples. A total of 36 bacterial strains were isolated from the oily sludge sample. Two potent hydrocarbonoclastic bacteria were screened out based on their ability of degradation of petroleum hydrocarbon. The potent bacterial isolates also produced biosurfactants. The potent strains were identified as Pseudomonas sp. and Bacillus sp. Gravimetric estimation of hydrocarbon degradation and FTIR analysis revealed that these potent bacterial strains could remove different constituents of petroleum hydrocarbon. The indigenous bacterial isolates either alone or in consortium may be applied for degrading different fractions of hydrocarbon contaminants of the oily sludge to remediate the sludge polluted soil environment.

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Section: Discussionmentioning

confidence: 99%

Screening of Bacteria Isolated from Refinery Sludge of Assam for Hydrocarbonoclastic Activities

Devi¹,

Jha²

2020

J Pure Appl Microbiol

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“…A Fourier transform infrared (FTIR) spectroscopy instrument would be the preferred choice for an in situ downhole application due to the high modulation frequencies that can be achieved with the method. In the oil and gas industry FTIR spectroscopy has been applied in combination with chemometrics and statistical data analysis to achieve rapid rig site chemical analysis of crude oils (Abdulkadir et al 10 , Aske et al 11 , and Hannisdal et al 12 ). However, the challenge confronting realization of this concept for in situ downhole application remains in the limitations of the state of the art in infrared detector technologies.…”

Section: Near Zero Index Perfect Metasurface Absorber Using Inverted mentioning

confidence: 99%

Near Zero Index Perfect Metasurface Absorber using Inverted Conformal Mapping

Swett

2020

Sci Rep

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The geometry of the characteristic element forming the artificial structure of an electromagnetic metamaterial defines the way the metamaterial will interact with electromagnetic waves, and accordingly, how it will transmit, reflect, and absorb electromagnetic energy. Metamaterials have been discovered that can manipulate electromagnetic waves to create perfect absorption of incident electromagnetic energy using relatively simple elemental geometries. But the phenomenon is confined to very narrow frequency bandwidths owing to the mono-resonance characteristics of simple cellular structures. Complex cellular geometries based on the combination of many different fundamental building blocks may be able to constructively couple many more resonances and broaden the perfect absorption bandwidth. We describe here a metasurface based upon geometric inversion of a set of conformal mapping contours. The resulting geometry forms a nearly continuous series of perfect absorption resonances within an ultrathin (λ/165) metasurface to develop broadband absorption in a frequency range of interest for downhole chemical spectroscopy. The metasurface is derived from a geometric inversion of the Rhodonea, or more commonly called four-leaf roses, conformal mapping contours and was found to exhibit a near zero index metamaterial (NZIM) behavior. An uncooled microbolometer design is described that uses the metasurface geometry on a single VO2 thermometric substrate leading to an infrared detector with predicted maximum absorption of 99.94% at 4.3 μm and an absorption bandwidth of 170% FWHM on 15.8 μm center wavelength, coincident with important chemical spectra of downhole hydrocarbons. The infrared detector design has a predicted maximum detectivity D* = 1.5 × 109 cm$$\sqrt{\text{Hz}}$$Hz/W and noise equivalent difference temperature NEDT of 70 mK at a frame rate of 60 Hz. These levels of detector performance conventionally would be achievable only with cryogenically cooled technologies and could represent a significant step in the effort towards deploying an in situ infrared chemical spectroscopy sensor into downhole logging applications.

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“…In this study, similar to the fingerprint method for identifying chemical substances, FT-IR is considerably powerful, rapid, simple and relatively cost effective. Recent studies have shown that FT-IR is capable of identifying the adulterated compounds in palm oil and reheated palm oil (Che Man et al, 2014;Lim et al, 2018;Faridah et al, 2015), determining purity of olive oil and crude oil (Rohman and Che Man, 2010;Abdulkadir et al, 2016) and authentify avocado oil (Rohman et al, 2015). Moreover, Ang et al (2019) and Wong et al (2019) have reported the rapid quantification of processing contaminants [such as 3-mono-chloropropane-1,2diol (MCPD) esters] in palm-based cooking oil using FT-IR spectroscopy.…”

Section: A R T I C L E I N P R E S Smentioning

confidence: 99%

Prediction of Acid, Peroxide and Tba Values of Heat-Treated Palm Oil Using a Partial Least Squares–ordinary Least Squares Model Based on Fouriertransform Infrared Spectroscopy

Kusnandar¹

2020

JOPR

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Palm oil is widely used for frying food and is often used for repeated frying up to 40 hr or even longer. Frying causes a gradual quality decrease during heating due to fat oxidation or hydrolysis. The quality of fats and oils is commonly monitored by acid, peroxide and thiobarbituric acid values (AV, PV and TBAV, respectively). This study aimed to use a partial least squares-ordinary least squares (PLS-OLS) model obtained from fourier-transform infrared (FT-IR) spectroscopy to predict AV, PV and TBAV values of heat-treated palm oil.

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A Rapid Method of Crude Oil Analysis Using FT-IR Spectroscopy

Cited by 34 publications

References 8 publications

Screening of Bacteria Isolated from Refinery Sludge of Assam for Hydrocarbonoclastic Activities

Screening of Bacteria Isolated from Refinery Sludge of Assam for Hydrocarbonoclastic Activities

Near Zero Index Perfect Metasurface Absorber using Inverted Conformal Mapping

Prediction of Acid, Peroxide and Tba Values of Heat-Treated Palm Oil Using a Partial Least Squares–ordinary Least Squares Model Based on Fouriertransform Infrared Spectroscopy

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