Measurement and modelling of high-pressure phase equilibria in the systems polyethyleneglycol (PEG)–propane, PEG–nitrogen and PEG–carbon dioxide

Wiesmet, V.; Weidner, Eckhard; Behme, Stefan; Sadowski, Gabriele; Arlt, Wolfgang

doi:10.1016/s0896-8446(99)00043-1

Cited by 88 publications

(72 citation statements)

References 7 publications

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“…The PVT data have been successfully modelled using the S-L EOS for a wide range of temperatures, pressures, and densities. The results for CO 2 3, 4, and 5, respectively. The characteristic parameters of the pure components, obtained using the S-L EOS are given in Table 2.…”

Section: Resultsmentioning

confidence: 91%

“…8 and 9 that the S-L EOS is a good tool for predicting the CO 2 solubility in PPB and PEB. Though the S-L EOS has already been reported for several polymers to predict the swelling due to dissolved CO 2 , it has not been tested together with the experimental swelling and solubility data for molten polymers. The density of a mixture can be determined using the S-L EOS, which has been used to predict the swelling of both polymers.…”

Section: Resultsmentioning

confidence: 99%

“…Phase separation [2], volumetric [3], and gravimetric [4] methods are commonly used. In the first two methods, the amount of polymer required is large compared to gravimetric methods, and hence, the time required to reach equilibrium is substantially longer.…”

Section: Introductionmentioning

confidence: 99%

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Solubilities of sub‐ and supercritical carbon dioxide in polyester resins

Nalawade

Picchioni

Janssen

et al. 2006

Polymer Engineering & Sci

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Solubilities of sub-and supercritical carbon dioxide in polyester resins Nalawade, SP; Picchioni, F; Janssen, LPBM; Patil, VE; Keurentjes, JTF; Staudt, R; Nalawade, Sameer P.; Patil, Vishal E.; Keurentjes, Jos T.F. Take-down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim.Downloaded from the University of Groningen/UMCG research database (Pure): http://www.rug.nl/research/portal. For technical reasons the number of authors shown on this cover page is limited to 10 maximum.

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Section: Resultsmentioning

confidence: 91%

Section: Resultsmentioning

confidence: 99%

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Solubilities of sub‐ and supercritical carbon dioxide in polyester resins

Nalawade

Picchioni

Janssen

et al. 2006

Polymer Engineering & Sci

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“…Since the viscosity reduction due to dissolved CO 2 is dependent on the CO 2 solubility, a detailed knowledge of both is essential. Weidner et al (1997) and Wiesmet et al (2000) have published the CO 2 solubility data for PEGs (Mw 1500-35 000 g/ mol) over a pressure range from 0.5-25 MPa at different temperatures in the range of 328-348 K. It was found that the CO 2 solubility is independent of the molecular weights investigated. Fig.…”

Section: Literature: Co 2 Solubility and Viscosity Of Peg-comentioning

confidence: 99%

Batch production of micron size particles from poly(ethylene glycol) using supercritical CO2 as a processing solvent

Nalawade

Picchioni

Janssen

2007

Chemical Engineering Science

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The major advantage of using supercritical carbon dioxide (CO 2 ) as a solvent in polymer processing is an enhancement in the free volume of a polymer due to dissolved CO 2 , which causes a considerable reduction in the viscosity. This allows spraying the polymer melt at low temperatures to produce micron size particles. We have used supercritical CO 2 as a solvent for the generation of particles from poly(ethylene glycol) (PEG) of different molecular weights. Since PEG is a hydrophilic compound, it is a most commonly used polymer for encapsulating a drug. PEG particles with different properties may allow keeping a good control over the release of the drug. It has been possible to produce particles with different size, size distribution, porosity and shape by varying various process parameters such as molecular weight, temperature, pressure and nozzle diameter. A flow and a solidification model have been applied in order to have a theoretical insight into the role of different parameters. ᭧

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“…This algorithm has been successfully used in academia and in Ž industry for a number of years Behme et al, 1999;Tork et al, 1999;Wiesmet et al, 2000;Hungenberg et al, 2001;…”

Section: Introductionmentioning

confidence: 99%