Solubility phenomena in dense carbon dioxide gas in the range 270-1900 atmospheres

Giddings, J. Calvin; Czubryt, J. J.; Myers, Marcus N.

doi:10.1021/j100718a014

Cited by 69 publications

(3 citation statements)

References 5 publications

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“…Maximum recovery of FB 1 was obtained at a supercritical fluid pressure of 1200 psi. Similar maxima have been observed for other compounds in dense carbon dioxide and in other supercritical fluid systems (Selim and Tsuei, 1993;Giddings et al, 1970). These maxima can be theoretically determined by application of regular solution theory to a multicomponent supercritical system (King, 1989).…”

Section: Resultssupporting

confidence: 74%

Supercritical Fluid Extraction of Fumonisin B₁ from Grain Dust

Selim

El-Sharkawy

Popendorf

1996

J. Agric. Food Chem.

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Fumonisin B1 (FB1) was extracted from corn, corn dust, and Fusarium moniliforme culture samples using supercritical carbon dioxide (SC-CO2). The supercritical fluid extraction (SFE) conditions were optimized regarding the use of different SC-CO2 modifiers, modifier volume, pressure, temperature, and static extraction time. The addition of the modifier both in the extraction cell (prior to the static extraction step) and on-line with liquid carbon dioxide (during the dynamic SFE step) was found to significantly increase the recovery of FB1. Under the optimized SFE conditions (15 mL of liquid CO2, 750 μL of 5% acetic acid per gram of sample, 1200 psi, 20 min static extraction time), the recovery of FB1 was found to be approximately 40 times greater than the recovery using conventional solvent extraction. SFE was faster and more reproducible (RSD = 3−5%) compared to the solvent extraction (RSD = 6.5%). The calculated detection limit was approximately 150 ppb, on the basis of the HPLC analysis of FB1−fluorescamine derivatives with UV detection. Keywords: Fumonisin; grain dust; supercritical fluid extraction

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Section: Resultssupporting

confidence: 74%

Supercritical Fluid Extraction of Fumonisin B₁ from Grain Dust

Selim

El-Sharkawy

Popendorf

1996

J. Agric. Food Chem.

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“… [2] following the models proposed by Giddings et al. [16 , 17] , where the solubility parameter can be expressed as a function of the CO 2 solubility parameter and fitted by a second-degree equation:

where X is the solute mole fraction, a and b are coefficients, C is a constant and

is the solubility parameter of the CO 2 at a given conditions. The solubility parameter of CO 2 can be calculated by the equation:

where P c , is the critical pressure and

, is the reduced density, which is the ratio of the apparent density of CO 2 at given pressure and temperature to the critical density of CO 2 .…”

Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

Dataset of working mPEG-alkyne with scCO2

et al. 2021

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This article contains data related to the research article entitled “Carbon dioxide sorption and melting behavior of mPEG-alkyne”. The presented data gives information on the thermodynamics properties of the solvent and the polymer. The time saturation of mPEG-alkyne in supercritical carbon dioxide (scCO 2 ) was evaluated in a high-pressure variable volume cell in different period of time at different pressure at the same temperature. The effects of pressure and temperature on the density of CO 2 when it is above supercritical conditions are determined with Sanchez Lacombe and Bender Equation and compared with the NIST database and values of equation of Bender. The characteristic parameters of CO 2 were determined with the equations proposed by Chengyong Wang et al. [1] and the sum of squared error was calculated for each parameter. Furthermore in this work the solubility data of scCO 2 /polymer mixture were correlated with Sanchez Lacombe Equation of State (SL EOS) and Heuristic model proposed by Irene Pasquali et al. [2] . This work describes the methodology for solving the SL EOS between the polymer and scCO 2 and the procedure of determining the solubility parameter with the group contribution method necessary to apply the heuristic model is described.

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“…A heuristic model with experimental data has been correlated by Pasquali et al [27] following the models proposed by Giddings et al [50,51], where the solubility parameter can be expressed as a function of the CO2 solubility parameter and fitted by a second-degree equation:…”

Section:  Heuristic Modelmentioning

confidence: 99%