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Three-Dimensionally Printed Microfluidic Cross-flow System for Ultrafiltration/Nanofiltration Membrane Performance Testing

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

Santhana Krishnan¹, B Noor Suzana², Zularisam Abdul Wahid³

¹Center of Environmental Sustainability and Water Security (IPASA), Research Institute of Sustainable Environment (RISE), School of Civil Engineering, Faculty of Engineering, Universiti Teknologi Malaysia (UTM), 81310, Johor Bahru, Malaysia.

Biotechnology Reports (Amsterdam, Netherlands)

|July 17, 2020

Summary

Optimizing xylose reductase (XR) purification using ultrafiltration membranes (UF) and response surface methodology (RSM) achieved high flux and reduced fouling. This enhances enzyme separation for biotechnology applications.

Keywords:

Central composite design (CCD)Cross flow technique Ultrafiltration (UF)Xylose reductase (XR)

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Published on: October 24, 2016

Area of Science:

Biotechnology
Biochemical Engineering
Separation Science

Background:

Efficient enzyme separation is crucial for industrial biotechnology.
Xylose reductase (XR) is a key enzyme with significant biotechnological applications.
Current separation techniques may lack efficiency and scalability.

Purpose of the Study:

To optimize the purification of xylose reductase (XR) using ultrafiltration (UF) membrane technology.
To investigate the combined effects of filtration time, transmembrane pressure (TMP), and cross-flow velocity (CFV) on UF performance.
To develop a predictive model for membrane permeability and xylitol production.

Main Methods:

Response surface methodology (RSM) with a Central Composite Design (CCD) was employed.
Key parameters optimized: filtration time, TMP, and CFV.
Membrane permeability and xylitol content were measured as response variables.

Main Results:

Optimal conditions identified: 30 min filtration time, 1.4 bar TMP, and 1.06 cm/s CFV.
These conditions yielded high membrane permeability (56.03 Lm⁻²h⁻¹bar⁻¹) and xylitol content (15.49 g/l).
The developed RSM model showed high significance (p < 0.0001) with low prediction errors (2.21% and 4.85%).

Conclusions:

The study successfully optimized XR purification using UF membrane technology.
The developed model accurately predicts membrane performance and xylitol production.
This optimized process offers an efficient and scalable solution for enzyme separation in biotechnology.