Literature DB >> 25448594

Optimization of pancreatic trypsin extraction in PEG/citrate aqueous two-phase systems.

Rocío L Pérez1, Dana B Loureiro1, Bibiana B Nerli2, Gisela Tubio3.   

Abstract

Enzyme extraction using aqueous two-phase systems (ATPS) has been increasingly used as a primary recovery technique which integrates the clarification, concentration and partial purification of important biomolecules from their natural source in a single step. The goal of this work was to optimize the extraction of trypsin from pancreas homogenate with polyethylene glycol and sodium citrate (PEG/NaCit) ATPS by using the tools of experimental design. The variables NaCl concentration - added inert salt -, the top/bottom phase volume ratio - Vr - and the biomass loaded into the system - in percentage - were selected as the main factors in the trypsin extraction. The yield (%) and the purification factor of trypsin were considered the responses to be optimized. The central composite design and the response surface analysis proved to be suitable tools for a quick and efficient study. As a result, the optimal extraction conditions in PEG3350/NaCit system were 3.34% wt/wt for NaCl concentration, a biomass load which represented 9.30% wt/wt of the total ATPS mass and 6.37 top/bottom volume ratio giving a purification factor of 2.55 and a yield of 99.7% in top phase.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Aqueous two-phase systems; Extraction; Pancreatic trypsin; Statistic optimization

Mesh:

Substances:

Year:  2014        PMID: 25448594     DOI: 10.1016/j.pep.2014.10.014

Source DB:  PubMed          Journal:  Protein Expr Purif        ISSN: 1046-5928            Impact factor:   1.650


  1 in total

1.  Response Surface Methodology Modelling of an Aqueous Two-Phase System for Purification of Protease from Penicillium candidum (PCA 1/TT031) under Solid State Fermentation and Its Biochemical Characterization.

Authors:  Amaal M Alhelli; Mohd Yazid Abdul Manap; Abdulkarim Sabo Mohammed; Hamed Mirhosseini; Eilaf Suliman; Zahra Shad; Nameer Khairulla Mohammed; Anis Shobirin Meor Hussin
Journal:  Int J Mol Sci       Date:  2016-11-11       Impact factor: 5.923

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.