2018
DOI: 10.1021/acs.iecr.8b03799
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Heterosegmental Modeling of Long-Chain Molecules and Related Mixtures using PC-SAFT: 1. Polar Compounds

Abstract: A broad range of fatty acids as well as fatty-acid-based, long-chain compounds are synthesized on the basis of triglycerides, which are mainly found in natural fats and oils. These long-chain compounds comprise, for instance, fatty-acid methyl and ethyl esters and fatty aldehydes. Saturated representatives of these individual families are composed of an identical head domain which is connected to an n‑alkylic residue that only varies in chain length within a homologous series. In this work, this fact was taken… Show more

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Cited by 16 publications
(55 citation statements)
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“…While the transfer contribution of the original model increases continuously with temperature, the transfer contribution computed with PC-SAFT exhibits a minimum which is connected to the solubility minimum of n -octane in water at T = 318 K . The reason for this minimum in the solubility is still controversially discussed in the literature. ,, This minimum can also be found in the solubility of other compounds than n -alkanes in water. , Moreover, all of these minima can be correctly modeled using PC-SAFT. The data depicted in Figure clearly show that the description of the hydrophobic effect including the minima in μ g ,Tr 0 / k B T is now possible, because experimental data related to the LLE rather than related to the VLE of n -alkane + water mixtures were used for estimating the binary interaction parameters of PC-SAFT …”
Section: Resultsmentioning
confidence: 90%
“…While the transfer contribution of the original model increases continuously with temperature, the transfer contribution computed with PC-SAFT exhibits a minimum which is connected to the solubility minimum of n -octane in water at T = 318 K . The reason for this minimum in the solubility is still controversially discussed in the literature. ,, This minimum can also be found in the solubility of other compounds than n -alkanes in water. , Moreover, all of these minima can be correctly modeled using PC-SAFT. The data depicted in Figure clearly show that the description of the hydrophobic effect including the minima in μ g ,Tr 0 / k B T is now possible, because experimental data related to the LLE rather than related to the VLE of n -alkane + water mixtures were used for estimating the binary interaction parameters of PC-SAFT …”
Section: Resultsmentioning
confidence: 90%
“…With the new experimental data of this work in hand, both excess properties were predicted using a heterosegmental approach of PC-SAFT proposed by Haarmann et al and the group-contribution EOS SAFT-γ Mie. , In Figure , the full predictions of the molar excess volumes v E of the six binary mixtures methyl decanoate + n -alkane ( n -hexane (C 6 ), n -octane (C 8 ), n -decane (C 10 ), n -dodecane (C 12 ), n -tetradecane (C 14 ), and n -hexadecane (C 16 )) are shown for both the heterosegmental approach of PC-SAFT and SAFT-γ Mie. The respective % ARDs are given in Table .…”
Section: Resultsmentioning
confidence: 99%
“…Thus, the predictive thermodynamic modeling of both excess properties is preferable. To the best of our knowledge, the excess properties of the binary mixtures methyl alkanoate + n -alkane have so far only been modeled in a predictive manner by Haarmann et al Applying a heterosegmental approach of the Perturbed Chain Statistical Associating Fluid Theory (PC-SAFT), the molar excess volumes v E and the molar excess enthalpies h E of various binary mixtures methyl alkanoate + n -alkane were predicted in very good agreement with the experimental data . In particular, Haarmann et al predicted the molar excess volumes v E and the molar excess enthalpies h E of the binary mixtures methyl decanoate + n -alkane comprising odd-numbered n -alkanes.…”
Section: Introductionmentioning
confidence: 95%
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