69
Views
8
CrossRef citations to date
0
Altmetric
Original Articles

Ternary Separations with One‐Column Analogs to SMB

&
Pages 3239-3259 | Received 15 Apr 2005, Accepted 06 Oct 2005, Published online: 15 Feb 2007
 

Abstract

Analogs, recycled chromatography systems that mimic SMBs, for both a cascade of two four‐zone SMBs and five‐zone SMBs performing ternary separations are designed and analyzed. The basic Analog consists of one column and several mixed tanks equal to the number of columns in the mimicked SMB. Analogs with mixed tanks give lower purities than the SMBs because of mixing in the tanks. For example, the five‐zone SMB with one column per zone achieved a purity index (PI) of 88.3, while the Analog with five mixed tanks has a PI of 83.4. If the tanks are divided into smaller tanks the purity improves, and for the Analog to be the five‐zone SMB using 10 tanks the PI was 85.4. Analogs with a single unmixed reservoir were also designed for a cascade of two four‐zone SMBs with one column per zone. This reservoir reduces the mixing and improves the separation. For example, a cascade of two four‐SMBs with one column per zone achieved a PI of 86.7; the Analog to this SMB with 8 mixed tanks achieved a PI of 82.9, while the Analog with an unmixed reservoir achieved a PI of 84.6.

Acknowledgements

This research was supported by NSF grant CTS‐0211208. Discussions with Jin‐Seok Hur and Dr. Jeung‐Kun Kim were very helpful to improve this paper.

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.