Quantitative structure-relative volatility relationship model for extractive distillation of ethylbenzene/p-xylene mixtures: Application to binary and ternary mixtures as extractive agents

Young Mook Kang, Yukwon Jeon, Sung Bo Hwang, Hyun Kil Shin, Kyunghwan Oh, Min Sung Kim, Namseok Kim, Hwan You, Hyoungjun Son, Young Hwan Chu, Kwang Hwi Cho, Yong Gun Shul, Kyoung Tai No

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Ethylbenzene (EB) and p-xylene (PX) are important chemicals for the production of industrial materials; accordingly, their efficient separation is desired, even though the difference in their boiling points is very small. This paper describes the efforts toward the identification of high-performance extractive agents for EB and PX separation by distillation. Most high-performance extractive agents contain halogen atoms, which present health hazards and are corrosive to distillation plates. To avoid this disadvantage of extractive agents, we developed a quantitative structure-relative volatility relationship (QSRVR) model for designing safe extractive agents. We have previously developed and reported QSRVR models for single extractive agents. In this study, we introduce extended QSRVR models for binary and ternary extractive agents. The QSRVR models accurately predict the relative volatilities of binary and ternary extractive agents. The service to predict the relative volatility for binary and ternary extractive agents is freely available from the Internet at http://qsrvr.opengsi.org/.

Original languageEnglish
Pages (from-to)548-555
Number of pages8
JournalBulletin of the Korean Chemical Society
Volume37
Issue number4
DOIs
Publication statusPublished - 2016 Apr 1

All Science Journal Classification (ASJC) codes

  • Chemistry(all)

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