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A new semi empirical model for the solubility of dyestuffs in supercritical carbon dioxide

Ratna Surya Alwi and Chandrasekhar Garlapati

Chemical Engineering Department, Fajar University, Makassar, Indonesia

 

E-mail: ratnasya@gmail.com

Received: 11 November 2020  Accepted: 18 December 2020

Abstract:

Solubility determination and prediction of azobenzene and anthraquinone derivatives in supercritical carbon dioxide (ScCO2) is a challenging and tedious task. Therefore, proper prediction of these solutes are quite important for application of ScCOtechnologies to dyeing industries. In this work, a new semi-empirical model is developed to correlate industrially important dye compounds solubility in ScCO2. The proposed model successfully correlated solute solubility of 22 industrial dye compounds in supercritical carbon dioxide (ScCO2). The correlating ability of the new model is compared with 16 existing literature solubility models in terms of various statistical parameters (AARD, R2, adj. R2, SSE, and RMSE). Furthermore, Akaike’s information criterion was employed to evaluate the relative goodness of the model. We found that the proposed model is correlating better than existing models considered.

Keywords: Semi empirical model; Solubilities; Supercritical carbon dioxide; Anthraquinone; Azobenzene; Akaike’s information criterion (AIC)

Full paper is available at www.springerlink.com.

DOI: 10.1007/s11696-020-01482-x

 

Chemical Papers 75 (6) 2585–2595 (2021)

Tuesday, May 28, 2024

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