Solubilities of cholesterol and desmosterol in binary solvent mixtures of n-hexane+ethanol

Chen, Wei; Su, Baogen; Xing, Huabin; Yang, Yiwen; Ren, Qilong

doi:10.1016/j.fluid.2009.08.016

Cited by 17 publications

(35 citation statements)

References 27 publications

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“…Here, σ ij is a parameter relating to the non-randomness of the solution, which ranges from 0.2–0.47. In this study, the value σ was fixed at 0.3 in the regression analysis [ 24 , 25 ]. The temperature-dependent interaction parameter τij can be expressed as [ 26 ]:

where a ij and b ij are two adjustable parameters relating to the interaction energy between the molecules i and j.…”

Section: Resultsmentioning

confidence: 99%

“…In this study, a global average σ value of 0.3 was used, which was typically chosen for the solubility modeling using the NRTL equation [ 24 , 25 ]. Notably, the σ value is treated as an additional adjustable parameter [ 24 ], and the NRTL equation gives the best correlation results. However, the results show that both the two-parameter activity coefficient equations can provide acceptable results.…”

Section: Discussionmentioning

confidence: 99%

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Measurements, Thermodynamic Modeling, and a Hydrogen Bonding Study on the Solubilities of Metoprolol Succinate in Organic Solvents

Shen

Liang

2018

Molecules

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The solubilities of metoprolol succinate (a cardioselective β1 adrenergic receptor) in methanol, ethanol, n-propanol, isopropanol, n-butanol, ethyl acetate, and acetone were measured at temperatures ranging from (278.2 to 318.2) K using a solid–liquid equilibrium method. The solubility of metoprolol succinate increases with increasing temperature. At a fixed temperature, the solubility decreases in the order methanol > ethanol > n-butanol > n-propanol > isopropanol > acetone > ethyl acetate. The enthalpy of fusion and the melting point of metoprolol succinate were determined by differential scanning calorimetry. The thermodynamic properties of the dissolution process, determined by a van’t Hoff analysis, have been obtained and are discussed. The modified Apelblat equation, Wilson model, and non-random two-liquid (NRTL) model were employed to correlate the solubilities of metoprolol succinate in different solvents. Finally, a quantitative structure–property relationship (QSPR) study of physical properties of solvents and density functional theory simulations of hydrogen-bonding structure were carried out to give the explanation for the sequence of solubility in alcohols. The density functional theory (DFT) calculations well illustrated that the solubility of metoprolol succinate in various alcohols can be mainly attributed to the intra- and intermolecular hydrogen bonds in metoprolol succinate-solvent complexes.

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where a ij and b ij are two adjustable parameters relating to the interaction energy between the molecules i and j.…”

Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Measurements, Thermodynamic Modeling, and a Hydrogen Bonding Study on the Solubilities of Metoprolol Succinate in Organic Solvents

Shen

Liang

2018

Molecules

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“…This has revealed some interesting differences in the product distributions and energy recoveries obtained from the different algal components, but the liquefaction behaviour of these components in combination is much more complicated. A number of researchers have attempted to correlate bio--oil yields to algae composition and found that overall yields are not simply a weighted average of the yields obtained from model compounds (Chen et al, 2009;Teri et al, 2014). Whilst reasonable correlations were observed between lipid content and bio--crude yield, much weaker correlations are obtained for protein and carbohydrate contents.…”

Section: Synergetic Effect Of Biochemical Compounds Present In Spirulinamentioning

confidence: 99%

Co-production of bio-oil and propylene through the hydrothermal liquefaction of polyhydroxybutyrate producing cyanobacteria

Wagner

Bransgrove

Beacham

et al. 2016

Bioresource Technology

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In this investigation, PHB producing cyanobacteria were converted through hydrothermal liquefaction (HTL) into propylene and a bio--oil suitable for advanced biofuel production. HTL of model compounds demonstrated that in contrast to proteins and carbohydrates, which react to produce a range of alternative intermediates, no synergistic effects were detected when converting PHB in the presence of algal biomass. Subsequently, Synechocystis cf. salina, which had accumulated 7.5 wt% PHB was converted via HTL (15 % dry weight loading at 340 °C). The reaction gave an overall propylene yield of 2.6 %, higher than that obtained from the analogous model compounds, in addition to a bio--oil with a low total nitrogen content of 4.6 %. No propylene was recovered from the alternative non--PHB producing cyanobacterial strains, Anabaena, Spirulina or Synechococcus, suggesting that PHB is the sole source of propylene. PHB producing microorganisms could therefore be used as a feedstock for a biorefinery to produce polypropylene and advanced biofuels, with the level of propylene being directly proportional to the accumulated amount of PHB.

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“…This suggests that a low polarity solvent and a weak hydrogen-bond capacity solvent mixture may enhance the solubility of lanosterol. For example, it has been found that mixtures of ethanol and hexane increase the solubility of cholesterol …”

Section: Resultsmentioning

confidence: 99%

“…The largest AADP is 8.26% for the NRTL model in isopropanol. Assuming that Δ C p,i ∼ 0 may have also contributed to the deviation …”

Section: Resultsmentioning

confidence: 99%

Solubility of Lanosterol in Organic Solvents and in Water–Alcohol Mixtures at 101.8 kPa

Forciniti

2020

J. Chem. Eng. Data

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Lanosterol is a sterol derivative whose physicochemical properties are poorly understood. Pure lanosterol (>95%) was isolated from a crude product (54.6%) by a newly developed C18 reverse-phase high-performance liquid chromatography (HPLC) method. Purity and structure were confirmed by gas chromatography–mass spectrometry (GC–MS). The melting temperature and fusion enthalpy were determined to be 408.27 K and 23.61 kJ/mol, respectively. The solubility of lanosterol was measured in methanol, ethanol, isopropanol, n-propanol, acetonitrile, acetone, N,N-dimethylformamide (DMF), dimethyl sulfoxide (DMSO), ethyl acetate, water, water–methanol, water–isopropanol, and water–ethanol binary systems using a static equilibrium setup from 277.09 to 338.78 K. The solid phases were characterized by X-ray diffraction and by scanning differential calorimetry. The solubility of lanosterol increases with an increase in temperature. The mole fraction of lanosterol in organic solvents has a minimum of 3.0 × 10–5 in methanol at 277.78 K and a maximum of 0.0048 in n-propanol at 318.93 K. The solubilities of lanosterol in organic solvents were correlated by the modified Apelblat equation and by the Wilson, NRTL, and UNIQUAC models. Furthermore, the binary water–alcohol systems were correlated by the Apelblat–Jouyban–Acree and the van’t Hoff–Jouyban–Acree models.

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Solubilities of cholesterol and desmosterol in binary solvent mixtures of n-hexane+ethanol

Cited by 17 publications

References 27 publications

Measurements, Thermodynamic Modeling, and a Hydrogen Bonding Study on the Solubilities of Metoprolol Succinate in Organic Solvents

Measurements, Thermodynamic Modeling, and a Hydrogen Bonding Study on the Solubilities of Metoprolol Succinate in Organic Solvents

Co-production of bio-oil and propylene through the hydrothermal liquefaction of polyhydroxybutyrate producing cyanobacteria

Solubility of Lanosterol in Organic Solvents and in Water–Alcohol Mixtures at 101.8 kPa

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