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中药提取物特性纳入膜浓缩过程的能量分析。

Traditional Chinese Medicine Extract Properties Incorporated Energy Analysis for Membrane Concentration Processes.

作者信息

Li Wanyu, Li Qiyuan, Guo Liwei, Liu Juyan, Wang Kai, Zhong Wenwei

机构信息

Department for Traditional Chinese Medicine and Natural Medicine, Chinese Academy of Sciences, Guangzhou Institute of Advanced Technology, Guangzhou 511458, China.

School of Chemical and Biomolecular Engineering, The University of Sydney, Sydney 2006, Australia.

出版信息

Membranes (Basel). 2021 Aug 31;11(9):673. doi: 10.3390/membranes11090673.

DOI:10.3390/membranes11090673
PMID:34564490
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8471164/
Abstract

This work focuses on the energy analysis of the membrane concentration systems that process traditional Chinese medicine extracts with dynamic properties incorporated, particularly for reverse osmosis (RO) and membrane distillation (MD) processes. The evaluation of process energy consumption was achieved by integrating the empirical properties correlations of Brix and other characteristics properties of the feed (e.g., density and heat capacity). The dynamic SEC analysis for RO process was largely dependent on the feed pressure, reported at 50 kWh/m at feed pressure of 0.9 MPa with less than 50% water removal. The occurrence of foaming at above 50% water removal caused discrepancies between the simulated flux results and the experimentally acquired results in RO, whereas the estimated dynamic SEC for MD process did not show a strong correlation with the temperatures selected in this study, ranging from 900 to 1000 kWh/m. This approach can be adapted into the design and zoptimization for the concentration process of other herbal extracts by membrane technologies, allowing comprehensive understanding into the energy analysis in future study.

摘要

这项工作聚焦于对纳入动态特性的中药提取物膜浓缩系统进行能量分析,特别是针对反渗透(RO)和膜蒸馏(MD)过程。通过整合白利糖度的经验性质关联以及进料的其他特性性质(如密度和热容)来实现对过程能耗的评估。RO过程的动态比能耗(SEC)分析在很大程度上取决于进料压力,在进料压力为0.9 MPa且水去除率低于50%时,报告的数值为50 kWh/m³。在水去除率高于50%时出现的发泡现象导致RO过程中模拟通量结果与实验获得的结果之间存在差异,而MD过程的估计动态SEC与本研究中选择的温度(范围为900至1000 kWh/m³)没有很强的相关性。这种方法可应用于其他草药提取物膜技术浓缩过程的设计和优化,以便在未来研究中全面理解能量分析。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f78/8471164/d7857d8db5ac/membranes-11-00673-g012.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f78/8471164/64ac852620ce/membranes-11-00673-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f78/8471164/04c1915646e2/membranes-11-00673-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f78/8471164/3ea6843740ae/membranes-11-00673-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f78/8471164/f8f5efe40f0a/membranes-11-00673-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f78/8471164/120b43b50746/membranes-11-00673-g009.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f78/8471164/6b8dbdcc8465/membranes-11-00673-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f78/8471164/d7857d8db5ac/membranes-11-00673-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f78/8471164/f7eb3281b1f6/membranes-11-00673-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f78/8471164/2f87b3fadd27/membranes-11-00673-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f78/8471164/c6f158cb2644/membranes-11-00673-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f78/8471164/d4df40ffb72c/membranes-11-00673-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f78/8471164/64ac852620ce/membranes-11-00673-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f78/8471164/04c1915646e2/membranes-11-00673-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f78/8471164/3ea6843740ae/membranes-11-00673-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f78/8471164/f8f5efe40f0a/membranes-11-00673-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f78/8471164/120b43b50746/membranes-11-00673-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f78/8471164/3015566d73d9/membranes-11-00673-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f78/8471164/6b8dbdcc8465/membranes-11-00673-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f78/8471164/d7857d8db5ac/membranes-11-00673-g012.jpg

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