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Response surface methodology optimization of partitioning of xylanase form Aspergillus Niger by metal affinity polymer-salt aqueous two-phase systems.
Fakhari, Mohamad Ali; Rahimpour, Farshad; Taran, Mojtaba.
Afiliación
  • Fakhari MA; Biotechnology Research Lab., Faculty of Petroleum and Chemical Engineering, Razi University, Kermanshah 67149-67346, Iran.
  • Rahimpour F; Biotechnology Research Lab., Faculty of Petroleum and Chemical Engineering, Razi University, Kermanshah 67149-67346, Iran. Electronic address: f_rahimpour@razi.ac.ir.
  • Taran M; Department of Biology, Faculty of Science, Razi University, Kermanshah 67149-67347, Iran.
Article en En | MEDLINE | ID: mdl-28823875
ABSTRACT
Aqueous two phase affinity partitioning system using metal ligands was applied for partitioning and purification of xylanase produced by Aspergillus Niger. To minimization the number of experiments for the design parameters and develop predictive models for optimization of the purification process, response surface methodology (RSM) with a face-centered central composite design (CCF) has been used. Polyethylene glycol (PEG) 6000 was activated using epichlorohydrin, covalently linked to iminodiacetic acid (IDA), and the specific metal ligand Cu was attached to the polyethylene glycol-iminodiacetic acid (PEG-IDA). The influence of some experimental variables such as PEG (10-18%w/w), sodium sulfate (8-12%), PEG-IDA-Cu2+ concentration (0-50% w/w of total PEG), pH of system (4-8) and crude enzyme loading (6-18%w/w) on xylanase and total protein partitioning coefficient, enzyme yield and enzyme specific activity were systematically evaluated. Two optimal point with high enzyme partitioning factor 10.97 and yield 79.95 (including 10% PEG, 12% Na2SO4, 50% ligand, pH 8 and 6% crude enzyme loading) and high specific activity in top phase 42.21 (including 14.73% PEG, 8.02% Na2SO4, 28.43% ligand, pH 7.7 and 6.08% crude enzyme loading) were attained. The adequacy of the RSM models was verified by a good agreement between experimental and predicted results.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Aspergillus niger / Proteínas Fúngicas / Endo-1,4-beta Xilanasas / Fraccionamiento Químico Tipo de estudio: Prognostic_studies Idioma: En Revista: J Chromatogr B Analyt Technol Biomed Life Sci Asunto de la revista: ENGENHARIA BIOMEDICA Año: 2017 Tipo del documento: Article País de afiliación: Irán

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Aspergillus niger / Proteínas Fúngicas / Endo-1,4-beta Xilanasas / Fraccionamiento Químico Tipo de estudio: Prognostic_studies Idioma: En Revista: J Chromatogr B Analyt Technol Biomed Life Sci Asunto de la revista: ENGENHARIA BIOMEDICA Año: 2017 Tipo del documento: Article País de afiliación: Irán