Thermodynamic properties of some organic compounds with tetrachloroterephthaloyl oligomers by gas chromatography

Coca, José; Rodríguez, Jorge Laureano Moya; Medina, Ignacio; Langer, Stanley H.

doi:10.1021/je00057a008

Cited by 4 publications

(10 citation statements)

References 4 publications

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“…The Flory-Huggins interaction parameter represents the size-corrected free energy of solution, which is calculated as RT. [5][6][7] The enthalpy of solution is calculated as RT H ϭ V 1 (␦ 1 Ϫ ␦ 2 ) 2 , based on eq. (3).…”

Section: Methods Of Dipaola-baranyi and Guilletmentioning

confidence: 99%

“…The effect of the error term, i , on ␦ 2 can be derived from eqs. (7) and (10): (15) where 2 is the sample variance. It can be seen that ⌬␦ 2 is proportional to i (␦ Ϫ ␦ i ).…”

Section: Sensitivity Of ␦ 2 and To Interaction Parametermentioning

confidence: 99%

“…If the molecular weight of the stationary phase is known, the specific retention volume can be related to the activity coefficient of the probe in the stationary phase. [1][2][3][4][5][6][7] Using Flory-Huggins theory 9 the Flory-Huggins interaction parameter between a polymer and probe, , can be related to the specific retention volume of the probe, V g 0 , by the following equation [1][2][3][4][5][6][7] :…”

Section: Introductionmentioning

confidence: 99%

“…In order for IGC to be effective, the probes must be volatile and of low molecular weight; the stationary phase is usually a low vapor pressure solvent or a high molecular weight polymer. If the molecular weight of the stationary phase is known, the specific retention volume can be related to the activity coefficient of the probe in the stationary phase 1–7. Using Flory–Huggins theory9 the Flory–Huggins interaction parameter between a polymer and probe, χ, can be related to the specific retention volume of the probe, V

_{italicg}^{0}

, by the following equation1–7: where R is the gas constant, T is the column temperature, v 2 is the specific volume, M 2 is the molecular weight of the stationary phase, and P

_{1}^{italico}

, V 1 , and B 11 are the vapor pressure, molar volume, and the second viral coefficient of the probe, respectively.…”

Section: Introductionmentioning

confidence: 99%

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Methods to determine solubility parameters of polymers using inverse gas chromatography

Huang

2004

J of Applied Polymer Sci

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Experimental values of the Flory-Huggins parameter, , between polymers and solvents, are frequently used to determine the solubility parameters of the polymers. A method using nonlinear curve fitting of RT/V was compared to the linear regression method commonly used. It was found that the formulas for the solubility parameter were the same, but the linear method produced a slightly different entropy term. The nonlinear method gave a lower correlation coefficient and wider confidence intervals and was more effective at distinguishing systems than the linear model. The effect of the deviation of probes in the solubility parameter model is discussed. Using probes with low solubility parameters to measure the polymer solubility parameter gave wider confidence intervals.

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Section: Methods Of Dipaola-baranyi and Guilletmentioning

confidence: 99%

“…The effect of the error term, i , on ␦ 2 can be derived from eqs. (7) and (10): (15) where 2 is the sample variance. It can be seen that ⌬␦ 2 is proportional to i (␦ Ϫ ␦ i ).…”

Section: Sensitivity Of ␦ 2 and To Interaction Parametermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

_{italicg}^{0}

, by the following equation1–7: where R is the gas constant, T is the column temperature, v 2 is the specific volume, M 2 is the molecular weight of the stationary phase, and P

_{1}^{italico}

, V 1 , and B 11 are the vapor pressure, molar volume, and the second viral coefficient of the probe, respectively.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Methods to determine solubility parameters of polymers using inverse gas chromatography

Huang

2004

J of Applied Polymer Sci

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“…First, the retention times of the solvent probes are converted to specific retention volumes ( V g ). These are then used to calculate the Flory–Huggins interaction parameter between the solvent and the sample using the following equation (Equation ):

{normalχ}_{1, 2}^{\infty} = l n (\frac{273.15}{M_{1} V_{g}^{\circ} P_{1}^{\circ}} . R) - \frac{P_{1}^{\circ}}{R . T} (B_{11} - V_{1}^{\circ}) + l n (\frac{ρ_{1}}{ρ_{2}}) - (1 - \frac{V_{1}^{\circ}}{V_{2}^{\circ}})

where

χ_{1, 2}^{\infty}

is the Flory–Huggins interaction parameter between the material of interest and the solvent probe, M 1 is the molecular mass,

P_{1}^{\circ}

is the vapour pressure of the solvent probe at the measurement temperature calculated using the Antoine equation,

V_{1}^{\circ}

is the molar volume of the probe,

V_{2}^{\circ}

is the molar volume of the examined material, B 11 is the second virial coefficient of the solvent probe calculated according to Voelkel and Fall, ρ 1 and ρ 2 are the densities of the solvent probe and material, respectively. The total solubility parameter is then calculated using Equation :

\frac{δ_{1}^{2}}{RT} - \frac{χ_{1, 2}^{\infty}}{V_{i}} = \frac{2 {normalδ}_{2}}{RT} {normalδ}_{1} - (\frac{δ_{2}^{2}}{RT} + \frac{χ_{S}^{\infty}}{V_{i}})

where δ 1 is the total solubility parameter of the consecutive test solutes and δ 2 the total solubility parameter of the material of interest,

χ_{S}^{\infty}

is the entropic part of the Flory–Huggins interaction constant and ...…”

Section: Theory and Experimental Aspects Of The Solubility Parameter mentioning

confidence: 99%

Application of the solubility parameter concept to assist with oral delivery of poorly water-soluble drugs – a PEARRL review

Jankovic

Tsakiridou

Ditzinger

et al. 2018

Journal of Pharmacy and Pharmacology

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In particular, partial solubility parameters hold great promise for aiding the development of poorly soluble drug delivery systems. This is particularly true in early-stage development, where compound availability and resources are limited. The experimental determination of solubility parameters has its merits despite being rather labour-intensive because further data can be used to continuously improve in silico predictions. Such improvements will ensure that solubility parameters will also in future guide scientists in finding suitable drug formulations.

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Determination of physicochemical properties of some fatty acid methyl esters by gas liquid chromatography

Husain

Sarma

Swamy

et al. 1993

J Americ Oil Chem Soc

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Physicochemical data such as vapor pressures (p0), heats of vaporization (ΔHv), activity coefficents at infinite dilution (γ∞) and excess partial molar entropy (ΔSe0) are considered important for conducting unit processes and designing reactor equipment. Scanty information regarding such data is available in the literature for the higher fatty acid methyl esters. The objective of this research was to determine the physicochemical properties of higher fatty acid methyl esters (C11–C23) by a gas‐liquid chromatographic technique with SE‐30 and diethylene glycol adipate as stationary phases. Correlations between carbon numbers and various thermodynamic properties have indicated definite trends, which could be useful in predicting the properties of unknown fatty acid methyl esters. The data generated may be useful to chemical engineers in the construction of storage tanks, solvent extractors and distillation columns.

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Thermodynamic properties of some organic compounds with tetrachloroterephthaloyl oligomers by gas chromatography

Cited by 4 publications

References 4 publications

Methods to determine solubility parameters of polymers using inverse gas chromatography

Methods to determine solubility parameters of polymers using inverse gas chromatography

Application of the solubility parameter concept to assist with oral delivery of poorly water-soluble drugs – a PEARRL review

Determination of physicochemical properties of some fatty acid methyl esters by gas liquid chromatography

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