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Optimization of operating parameters for xylose reductase separation through ultrafiltration membrane using response surface methodology

Santhana Krishnan, Bakar Noor Suzana, Zularisam A. Wahid, Mohd Nasrullah, Mimi Sakinah Abdul Munaim, Mohd Fadhil Bin Md Din, Shazwin Mat Taib, Yu‐You Li

2020Biotechnology Reports16 citationsDOIOpen Access PDF

Abstract

The application of the xylose reductase (XR) enzyme in the development of biotechnology demands an efficient and large scale enzyme separation technique. The aim of this present work was to optimize xylose reductase (XR) purification process through ultrafiltration membrane (UF) technology using Central composite design (CCD) of response surface methods (RSM). The three effective parameters analyzed were filtration time (0–100), transmembrane pressure (TMP) (1–1.6 bar), cross flow velocity (CFV) (0.52–1.2 cm/s−1) and its combined effect to obtain high flux with less possibility of membrane fouling. Experimental studies revealed that the best range for optimization process for filtration time, operational transmembrane pressure and cross flow velocity was 30 min, 1.4 bars and 1.06 cm/s, respectively as these conditions yielded the highest membrane permeability (56.03 Lm-2h-1 bar−1) and xylitol content (15.49 g/l). According to the analysis of variance (ANOVA), the p-value (<0.0001) indicated the designed model was highly significant. The error percentage between the actual and predicted value for membrane permeability and xylitol amount (2.21 % and 4.85 % respectively), which both were found to be close to the predicted values. The verification experiments gave membrane actual permeability of 57.3 Lm-2h-1 bar−1 and 16.29 g/l of xylitol production, thus indicating that the successfully developed model to predict the response.

Topics & Concepts

Response surface methodologyUltrafiltration (renal)MembraneChemistryXylitolCentral composite designChromatographyXylosePermeability (electromagnetism)Membrane foulingFoulingAnalytical Chemistry (journal)Materials scienceBiochemistryFermentationPancreatic function and diabetesMembrane Separation TechnologiesMembrane-based Ion Separation Techniques
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