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Colloid and Polymer Science

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25.01.2017 | Original Contribution

A soft-computing technique for prediction of water activity in PEG solutions

verfasst von: Saeid Atashrouz, Hamed Mirshekar, Abdolhossein Hemmati-Sarapardeh

Erschienen in: Colloid and Polymer Science | Ausgabe 3/2017

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Abstract

The aim of present study is development of an accurate mathematical model for prediction of water activity in poly(ethylene glycol)-water solutions. The least square support vector approach (LSSVM) was implemented for this purpose. Four hundred thirteen experimental data points with different molecular weights of polymer ranging 150–20,000 were employed for model development. Average absolute relative deviation of the model was obtained 0.99% demonstrating excellent accuracy of the model. The results of the proposed model was compared with an existing predictive model available in literature illustrating that the proposed model is significantly superior and robustness in comparison with the other model. Besides, a sensitivity analysis was performed which shows that molecular weight of polymer has the most significant effect on activity of water. Furthermore, the Leverage approach was used to statistically check the performance of the model, which confirmed model validity and acceptability from a statistical point of view.

Vorheriger Artikel Chemical properties and protein adsorptions on ozone/UV-treated poly(ethylene terephthalate) film surfaces

Nächster Artikel Facile preparation and self-aggregate of amphiphilic block nanoparticles

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Titel: A soft-computing technique for prediction of water activity in PEG solutions
verfasst von: Saeid Atashrouz
Hamed Mirshekar
Abdolhossein Hemmati-Sarapardeh
Publikationsdatum: 25.01.2017
Verlag: Springer Berlin Heidelberg
Erschienen in: Colloid and Polymer Science / Ausgabe 3/2017
Print ISSN: 0303-402X
Elektronische ISSN: 1435-1536
DOI: https://doi.org/10.1007/s00396-017-4017-9

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