A study of heavy oil fractions by Fourier-transform near-infrared Raman spectroscopy

Купцов, А. Х.; Arbuzova, T. V.

doi:10.1134/s0965544111020083

Cited by 16 publications

(6 citation statements)

References 14 publications

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“…These impurities may not only adversely affect the subsequent processing steps but may also impair the quality of white sugar. Since the literature data show IR spectroscopy as one of the quickest methods for oil identification [ 52 , 53 , 54 , 55 , 56 ], this technique was also applied in this particular case. A sample of oil contamination (Sample B) was collected from the water’s surface and placed on a measuring window of IR sample cards (Real Crystal ® ) as described in Section 3.3 .…”

Section: Resultsmentioning

confidence: 99%

“…Analysis of the characteristic absorption bands confirmed that the test sample is composed of polypropylene [ 59 , 60 , 61 , 62 , 63 ]. In the ranges of 2951–2952 cm −1 and 2868–2877 cm −1 , there were absorption bands from asymmetric and symmetric stretches CH 4 [ 49 , 50 , 51 , 52 , 53 ]. Absorption bands in the ranges of 2918–2920 cm −1 and 2868–2877 cm −1 originated from asymmetric and symmetric stretches CH 2 [ 59 , 60 , 61 , 62 , 63 ].…”

Section: Resultsmentioning

confidence: 99%

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Fourier Transform Mid-Infrared Spectroscopy (FT-MIR) as a Method of Identifying Contaminants in Sugar Beet Production Process—Case Studies

Gruska,

Kunicka-Styczyńska,

Jaśkiewicz

et al. 2023

Molecules

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Food safety has received considerable attention in recent years. Methods for rapid identification of a variety contaminants in both the final product and the manufacturing process are constantly developing. This study used Fourier Transform Mid-Infrared Spectroscopy (FT-MIR) spectroscopy to identify various contaminants endangering white sugar production. It was demonstrated that inorganic compounds (calcium carbonate—CaCO3), plastic contaminants (polypropylene), and oily contaminants (compressor sealing and lubrication lubricant) can be identified with a high degree of precision. FT-MIR spectroscopy was proved to be a useful technique for detecting sugar contaminants rapidly and precisely even without the application of a sophisticated spectra analysis. Commercial databases of reference spectra usage significantly simplify and facilitate the application of this method.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Fourier Transform Mid-Infrared Spectroscopy (FT-MIR) as a Method of Identifying Contaminants in Sugar Beet Production Process—Case Studies

Gruska,

Kunicka-Styczyńska,

Jaśkiewicz

et al. 2023

Molecules

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show abstract

“…This might be induced by the microbial flora of compost to secrete enzymes such as laccase and peroxidase to degrade the lignin . The asymmetric CH stretching of methylene groups, skeletal CC vibrations, and methylene–(CH 2 ) n ‐rocking ( n ≥ 3) vibrations of long‐chain aliphatic compounds all appeared in raw materials, composts after the first and second fermentations, and the spent compost, but some slight changes were observed . All these imply there are different enzymes secreted by microbes in the microflora in the first and second fermentations and A. bisporus degrades lignin.…”

Section: Discussionmentioning

confidence: 99%

Chemical and ultrastructural studies of lignocellulose biodegradation during Agaricus bisporus cultivation

Zhang

Wang

Liu

et al. 2014

Biotech and App Biochem

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During Agaricus bisporus cultivation, lignocellulose degradation is the result of the activity of both the mushroom and microbial communities developed during the composting. To investigate the lignocellulose degradation in detail from the beginning to the end of the process, the functional groups of cellulose, hemicellulose, and lignin have been studied with Fourier transform infrared spectroscopy and the morphological changes of lignocelluloses were elucidated with scanning electron microscopy. The aperture of lignin and cellulose increased to enable the mycelia of A. bisporus to penetrate into the medium and to degrade lignocelluloses in a more direct way. The chemical structure changes implied a preferential use of lignin that could make for better use of cellulose to boost growth of A. bisporus. Changes in chemical structure together with ultrastructural changes induced by the microbial flora during cultivation substrate production by the composting substrate are important in promoting the utilization of lignocelluloses by A. bisporus.

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“…Therefore, this method is not specific to carboxylic acids. Various analytical techniques such as high-performance liquid chromatography (HPLC) with a photodiode array and mass spectrometer, gas chromatography (GC) with flame ionization and mass spectrometry, and Fourier transform ion cyclotron resonance (FTICR) spectrometry have been used to measure naphthenic acids in crude oils and their fractions. − However, these techniques are neither fast nor portable.…”

Section: Introductionmentioning

confidence: 99%

Sulfur and Total Carboxylic Acid Number Determination in Vacuum Gas Oil by Attenuated Total Reflectance Fourier Transform Infrared Spectroscopy

et al. 2018

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Sulfur removal is one of the key functions of vacuum gas oil (VGO) hydrotreating reactors. Knowing feed and product properties real-time or near-real-time improves reactor operations. The VGO section of crude distillation unit is also prone to severe high-temperature sulfidic and naphthenic acid corrosion. In this article, we evaluate a single-reflectance attenuated total reflectance Fourier transform infrared (ATR-FTIR) spectroscopy as a possible quick and cost-effective methodology to determine total carboxylic acid number (TCAN) and total sulfur content of VGO. The study shows that single-reflectance diamond ATR crystal methodology has the right signal-to-noise ratio to accurately predict TCAN and total sulfur within the primary method’s repeatability. Statistical models have been developed using 64 sample sets of vacuum gas oil and out of which 10 samples were used for the cross-validation of the model. The range of TCAN in VGO samples used in this study was between 0.37 and 13.8 mg KOH/g, and sulfur content was between 0.8 to 5.4% by mass. Models have been evaluated by determining the correlation coefficient (R 2), linearity curves obtained by plotting measured versus predicted values, and the errors associated with the prediction and cross-validation. The models showed a correlation coefficient of 0.9991 for TCAN and 0.9974 for total sulfur between reference and the measured values for calibration set of samples. A root-mean-square error of calibration (RMSEC) and prediction (RMSEP) for TCAN were found to be 0.0903 and 0.0885 mg KOH/g. Similarly, RMSEC and RMSEP values for sulfur content were 0.0829 and 0.107% by mass, respectively. The proposed methodology for the prediction of total sulfur and TCAN is fast, efficient, and cost-effective and has several advantages over the standard methods.

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A study of heavy oil fractions by Fourier-transform near-infrared Raman spectroscopy

Cited by 16 publications

References 14 publications

Fourier Transform Mid-Infrared Spectroscopy (FT-MIR) as a Method of Identifying Contaminants in Sugar Beet Production Process—Case Studies

Fourier Transform Mid-Infrared Spectroscopy (FT-MIR) as a Method of Identifying Contaminants in Sugar Beet Production Process—Case Studies

Chemical and ultrastructural studies of lignocellulose biodegradation during Agaricus bisporus cultivation

Sulfur and Total Carboxylic Acid Number Determination in Vacuum Gas Oil by Attenuated Total Reflectance Fourier Transform Infrared Spectroscopy

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