48
Views
2
CrossRef citations to date
0
Altmetric
Original Articles

DISTRIBUTION BEHAVIOR OF AMINOBENZOIC ACIDS BY EXTRACTION WITH DI(2-ETHYLHEXYL)PHOSPHORIC ACID AND TRIOCTYLAMINE

&
Pages 3473-3485 | Received 01 Jul 2000, Published online: 15 Feb 2007
 

Abstract

Extraction based on reversible chemical complexation can be a high-capacity and high-selectivity technique for separating polar organic solutes from dilute solution. Aminobenzoic acid is a valuable chemical product. However, the downstream processing technology for the recovery of aminobenzoic acid presents a challenging separation problem. Aminobenzoic acid is resistant to biodegradation, so a method for treating wastewater that contains aminobenzoic acid needs to be developed. In this paper, we present a series of extraction equilibrium experiments for aminobenzoic acid with di(2-ethylhexyl)phosphoric acid (D2EHPA) dissolved in a mixture of n-octane and n-octanol and in trioctylamine dissolved in n-octanol. The effects of extractant concentration and pH on the distribution ratio are discussed in detail. Both (1:1) and (1:2) complexes are formed in the extraction of aminobenzoic acid with D2EHPA. Expressions for the equilibrium distribution ratio are proposed, and the experimental data are in good agreement to the proposed expressions.

ACKNOWLEDGMENTS

Valuable advice from and discussions with Professors Lilian Xu and Weizhi Li, of the Analytical Center of the Chemical Engineering Department, are greatly appreciated.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 681.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.