2017
DOI: 10.1016/j.supflu.2016.12.020
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Experimental measurement and modeling of quinizarin solubility in pressurized hot water

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Cited by 3 publications
(4 citation statements)
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“…On the other hand, extrapolation of these models to temperatures or pressures outside the regression region is not guaranteed, since binary interaction parameters obtained from the regression of solid−gas equilibria data do not seem to follow any general trend. 159 Various optimization approaches are used for modeling the solubility of substances of interest. For instance, genetic algorithms have been utilized to calculate the solubility of solid solutes in pressurized fluids.…”
Section: System Investigatedmentioning
confidence: 99%
See 1 more Smart Citation
“…On the other hand, extrapolation of these models to temperatures or pressures outside the regression region is not guaranteed, since binary interaction parameters obtained from the regression of solid−gas equilibria data do not seem to follow any general trend. 159 Various optimization approaches are used for modeling the solubility of substances of interest. For instance, genetic algorithms have been utilized to calculate the solubility of solid solutes in pressurized fluids.…”
Section: System Investigatedmentioning
confidence: 99%
“…Employing thermodynamic models based on cubic equations of state in combination with appropriate mixing rules enables the prediction of thermodynamic data over large ranges of temperature and pressure. On the other hand, extrapolation of these models to temperatures or pressures outside the regression region is not guaranteed, since binary interaction parameters obtained from the regression of solid–gas equilibria data do not seem to follow any general trend . Various optimization approaches are used for modeling the solubility of substances of interest.…”
Section: Modelingmentioning
confidence: 99%
“…In the case of the binary interaction parameters between the ketone group and the olefinic groups, not available in the revised matrix, they were taken from our own previous adjustments [38]. The carbonyl groups in thymoquinone were represented using the cyC=O group previously defined by Barrera et al [41].…”
Section: Gc-eos Modelmentioning
confidence: 99%
“…One of the biggest challenges of PDT is the choice of the most suitable photosensitizer, which essential characteristics such as biological affinity, biodistribution and minimum photodynamic potential for application [15]. Quinizarin, (QZ) (1,4 dihydroxyanthraquinone), an anthraquinone derivative compound, shows secondary biological activities characteristics as anti-inflammatory, antioxidant, antibacterial action [19][20][21], and high potential as photosensitizing compounds [22] showing high-density planar and quinoid conjugated aromatic groups electronics, which may contribute to the generation of reactive oxygen species (ROS), [23][24][25][26], with a high potential as photosensitizing compounds from a PDT perspective [22].…”
Section: Introductionmentioning
confidence: 99%