Surface characterization of reservoir rocks by inverse gas chromatography: Effect of a surfactant

Bendada, K.; Hamdi, Boualem; Boudriche, Lilya; Balard, H.; Calvet, Rachel

doi:10.1016/j.colsurfa.2016.05.047

Cited by 11 publications

(6 citation statements)

References 21 publications

(24 reference statements)

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“…The interactions between the solvents and the stationary phase in infinite dilution can be studied with the help of

V_{N}

. The

V_{N}

values can be calculated by the following equation 26,27

V_{N} goodbreak= Q goodbreak\times ([], \frac{3 {((), p_{i} / p_{o})}^{2} - 1}{2 {((), p_{i} / p_{o})}^{3} - 1}) goodbreak\times ((), t_{R} goodbreak- t_{A}) goodbreak\times T / T_{f}

Here,

Q

is the volume of mobile gas passing in 1 minute;

t_{A}

and

t_{R}

are the retention times of air and solvent, respectively;

T

and

T_{f}

are the column and ambient temperature; and

p_{o}

and

p_{i}

are the pressure at column outlet and inlet, respectively.…”

Section: Resultsmentioning

confidence: 99%

A comparative study of surface properties of Urtica dioica (nettle) leaves, roots, and seeds and examination of their ability to separate xylene isomers

Işık

Çakar

Cankurtaran

2022

Phytochemical Analysis

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Introduction Urtica dioica (nettle) is a plant species of the Urticaceae family that grows in various parts of the world and exerts antioxidant, antibacterial, antiulcer, antiviral, and anti‐inflammatory effects. Their leaves, roots, and seeds are used in various fields such as food, medicine, and cosmetics. Objectives Inverse gas chromatography (IGC) was used to evaluate the surface characteristics and separation ability of U. dioica leaves, roots, and seeds. Characterization of these biomasses was performed by Fourier transform infrared spectroscopy (FTIR) analyses. Methodology The surface properties of the biomasses including dispersive surface energy, adsorption enthalpy, Gibbs free energy, and acidity‐basicity constants were determined at infinite dilution using various organic solvents. These properties were compared with each other. Dispersive surface energies were calculated using the Dorris–Gray, Donnet–Park, and Schultz methods. The accuracy of these methods and their applicability were evaluated. In the last stage of this study, the separation of xylene isomers was investigated by using U. dioica biomasses as stationary phases. Results The surface functional groups were determined by FTIR analysis. As a result of the IGC studies, it was found that the adsorption of polar solvents on biomasses occurred exothermically and spontaneously. Besides, it was found that the surfaces of biomasses were basic. From the retention diagrams and selectivity coefficients, it was determined that xylene isomers were effectively separated. Conclusion IGC is a promising, low‐cost, easy‐to‐apply, and high‐accuracy technique for the investigation of the surface properties of biomasses and their ability to separate isomers.

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“…The interactions between the solvents and the stationary phase in infinite dilution can be studied with the help of

V_{N}

. The

V_{N}

values can be calculated by the following equation 26,27

V_{N} goodbreak= Q goodbreak\times ([], \frac{3 {((), p_{i} / p_{o})}^{2} - 1}{2 {((), p_{i} / p_{o})}^{3} - 1}) goodbreak\times ((), t_{R} goodbreak- t_{A}) goodbreak\times T / T_{f}

Here,

Q

is the volume of mobile gas passing in 1 minute;

t_{A}

and

t_{R}

are the retention times of air and solvent, respectively;

T

and

T_{f}

are the column and ambient temperature; and

p_{o}

and

p_{i}

are the pressure at column outlet and inlet, respectively.…”

Section: Resultsmentioning

confidence: 99%

A comparative study of surface properties of Urtica dioica (nettle) leaves, roots, and seeds and examination of their ability to separate xylene isomers

Işık

Çakar

Cankurtaran

2022

Phytochemical Analysis

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show abstract

“…The material making up the resin backbone can be either inorganic, synthetic polymer, or natural polymer. The nature of the material employed determines the number of properties such as surface roughness of the particles [64], particle size distribution (linked to the manufacturing method) [65], the occurrence of microstructural defects, and other mechanical properties such as Young modulus and density [63,64]. All these factors impact column packing, either directly or indirectly, in turn influencing the homogeneity of the resulting chromatographic bed, that is, packing quality.…”

Section: Resin Backbonementioning

confidence: 99%

Prediction of the performance of pre‐packed purification columns through machine learning

Jiang

Seth

Scharl

et al. 2022

J of Separation Science

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Pre‐packed columns have been increasingly used in process development and biomanufacturing thanks to their ease of use and consistency. Traditionally, packing quality is predicted through rate models, which require extensive calibration efforts through independent experiments to determine relevant mass transfer and kinetic rate constants. Here we propose machine learning as a complementary predictive tool for column performance. A machine learning algorithm, extreme gradient boosting, was applied to a large data set of packing quality (plate height and asymmetry) for pre‐packed columns as a function of quantitative parameters (column length, column diameter, and particle size) and qualitative attributes (backbone and functional mode). The machine learning model offered excellent predictive capabilities for the plate height and the asymmetry (90 and 93%, respectively), with packing quality strongly influenced by backbone (∼70% relative importance) and functional mode (∼15% relative importance), well above all other quantitative column parameters. The results highlight the ability of machine learning to provide reliable predictions of column performance from simple, generic parameters, including strategic qualitative parameters such as backbone and functionality, usually excluded from quantitative considerations. Our results will guide further efforts in column optimization, for example, by focusing on improvements of backbone and functional mode to obtain optimized packings.

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“…The value of I sp obtained with acidic dichloromethane decreases from 16.7 to 11.2 kJ/mol as the CS/Bt ratio increases and tends towards 10.2 mJ/mol, the CS I sp value. This variation testifies of the coating of the silanols or aluminols groups (amphoteric groups) or double-linked oxygen groups (basic character) [59][60][61]. Acetone, with a strong basic character, could not be eluted through the Bt chromatographic column even at 383 K testifying of the strong acidic character of the Bt surface.…”

Section: Bet Surface Analysismentioning

confidence: 99%

Characterization of surface properties of chitosan/bentonite composites beads by inverse gas chromatography

Bensalem

Hamdi

Confetto

et al. 2021

International Journal of Biological Macromolecules

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Chitosan/bentonite (CSBt) composites beads were prepared by dropwise of a solution containing chitosan and bentonite to an alkaline NaOH solution. Fourier Transform Infrared Spectroscopy, X-ray diffraction analysis, Xray photoelectron spectroscopy, XPS and Brunauer-Emmett-Teller BET analysis have been used to provide new insights on the composition and morphology of CSBt composites beads surface. In this study, inverse gas chromatography (IGC) was implemented to characterize physico-chemical properties of CSBt composites surface. IGC at infinite dilution (IGC-ID) was used to understand the effect of CS on dispersive component of the surface energy of the bentonite. The increasing amount of CS leads to significantly decrease of Bt γ s d emphasizing the Bt coating with CS. The IGC at finite concentration (IGC-FC) was also implemented allowing us to reach several parameters such as: specific surface area with organic probes and the distribution functions of the adsorption energy sites on the solid surface. In this case, the most significant decreases were observed in the specific surface area obtained with the octane and isopropanol probes. The distribution function of the adsorption energy sites obtained with isopropanol revealed the decrease in the number of the high energy sites with increase of CS/Bt mass ratio.

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Surface characterization of reservoir rocks by inverse gas chromatography: Effect of a surfactant

Cited by 11 publications

References 21 publications

A comparative study of surface properties of Urtica dioica (nettle) leaves, roots, and seeds and examination of their ability to separate xylene isomers

A comparative study of surface properties of Urtica dioica (nettle) leaves, roots, and seeds and examination of their ability to separate xylene isomers

Prediction of the performance of pre‐packed purification columns through machine learning

Characterization of surface properties of chitosan/bentonite composites beads by inverse gas chromatography

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