Concentration Enrichment of Fermentation Derived Acetic Acid: Transport Modeling of Forward Osmosis-Nanofiltration Integrated System
-
Jayato Nayak
, Parimal Pal
Abstract
Forward Osmosis (FO)-Nanofiltration (NF) integration as the final product polishing step enables high concentration of acetic acid output through continuous dehydration of fermentation derived product. A mathematical transport model has been developed based on external and internal concentration polarization modulus of FO and extended Nernst–Plank equation for NF to capture the flux and rejection trends from those membranes. The modular designed production scheme ensured high flux (45 Lm−2 h−1), concentration (962 g L−1) and purity (>98 %) of acetic acid under non-neutralization condition. Excellent performance of the model is reflected in low relative error (<0.05), high Willmott d-index (>0.97) and high correlation coefficient (>0.98).
Funding source: Department of Science and Technology
Award Identifier / Grant number: DST-FIST
Funding statement: Department of Science and Technology, Ministry of Science and Technology, Funder Id: http://dx.doi.org/10.13039/501100001409, Grant Number: DST-FIST
Acknowledgements
The authors acknowledge financial support under DST-FIST Program and Ministry of Human Resource Development of the Government of India.
References
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© 2019 Walter de Gruyter GmbH, Berlin/Boston
Articles in the same Issue
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- ICACSE-2019
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Articles in the same Issue
- Editorial
- ICACSE-2019
- Research Articles
- Concentration Enrichment of Fermentation Derived Acetic Acid: Transport Modeling of Forward Osmosis-Nanofiltration Integrated System
- Simulation of a Scaled down 250 MWe CFB Boiler Using Computational Particle Fluid Dynamics Numerical Model
- Effect of Temperature on Effluent Quality in a Biological Wastewater Treatment Process
- Kinetic Modeling and Optimization of the Release Mechanism of Curcumin from Folate Conjugated Hybrid BSA Nanocarrier
- Optimization of Aqueous Two Phase Extraction of Proteins from Litopenaeus Vannamei Waste by Response Surface Methodology Coupled Multi-Objective Genetic Algorithm
- Optimization of the Ratio of ω-6 Linoleic and ω-3 α-Linolenic Fatty Acids of Hemp Seed Oil with Jackknife and Bootstrap Resampling
- Enhanced Dynamic Set-point Weighting Design for Two-Input-Two-Output (TITO) Unstable Processes
- The Hydrodynamics Studies on Loop Seal in CFBC Boiler Using CFD Analysis
- Assessment of Proportional Integral Derivative Control Loops for Large Dominant Time Constant Processes