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疏水性鏻离子液体对粘康酸的反应萃取——实验、建模及人工神经网络优化

Reactive extraction of muconic acid by hydrophobic phosphonium ionic liquids - Experimental, modelling and optimisation with Artificial Neural Networks.

作者信息

Blaga Alexandra Cristina, Dragoi Elena Niculina, Tucaliuc Alexandra, Kloetzer Lenuta, Puitel Adrian-Catalin, Cascaval Dan, Galaction Anca Irina

机构信息

"Gheorghe Asachi" Technical University of Iasi, "Cristofor Simionescu" Faculty of Chemical Engineering and Environmental Protection, Iasi, Romania.

"Grigore T. Popa" University of Medicine and Pharmacy, Faculty of Medical Bioengineering, Iasi, Romania.

出版信息

Heliyon. 2024 Aug 10;10(16):e36113. doi: 10.1016/j.heliyon.2024.e36113. eCollection 2024 Aug 30.

DOI:10.1016/j.heliyon.2024.e36113
PMID:39247304
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11379585/
Abstract

Muconic acid is a six-carbon dicarboxylic acid with conjugated double bonds that finds extensive use in the food (additive), chemical (production of adipic acid, monomer for functional resins and bio-plastics), and pharmaceutical sectors. The biosynthesis of muconic acid has been the subject of recent industrial and scientific attention. However, because of its low concentration in aqueous solutions and high purity requirement, downstream separation presents a significant problem. Artificial Neural Networks and Differential Evolution were used to optimize process parameters for the recovery of muconic acid from aqueous streams in a system with n-heptane as an organic diluent and ionic liquids as extractants. The system using 120 g/L tri-hexyl-tetra-decyl-phosphonium decanoate dissolved in n-heptane, pH of the aqueous phase 3, 20 min contact time, and 45 °C temperature assured a muconic acid extraction efficiency of 99,24 %. Low stripping efficiency compared to extraction efficiency was observed for the optimum conditions on the extraction step (120 g/L ionic liquids dissolved in heptane). However, re-extraction efficiencies obtained for the recycled organic phase in three consecutive stages were close to the first extraction stage. The mechanism analysis proved that the analysed phosphonium ionic liquids (PILSs) extracts only undissociated molecules of muconic acid through H-bonding.

摘要

粘康酸是一种具有共轭双键的六碳二羧酸,在食品(添加剂)、化工(生产己二酸,功能性树脂和生物塑料的单体)和制药领域有广泛应用。粘康酸的生物合成是近期工业和科学关注的主题。然而,由于其在水溶液中的浓度较低且对纯度要求较高,下游分离存在重大问题。人工神经网络和差分进化算法被用于优化从含水物流中回收粘康酸的工艺参数,该系统以正庚烷为有机稀释剂,离子液体为萃取剂。使用溶解在正庚烷中的120 g/L三己基十四烷基磷酸癸酯、水相pH值为3、接触时间20分钟以及温度45°C的系统,确保了粘康酸的萃取效率为99.24%。在萃取步骤的最佳条件下(溶解在庚烷中的120 g/L离子液体),观察到与萃取效率相比,反萃效率较低。然而,在三个连续阶段中,循环有机相获得的再萃取效率接近第一萃取阶段。机理分析证明,所分析的磷鎓离子液体(PILSs)仅通过氢键萃取未离解的粘康酸分子。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbc4/11379585/117b8c7622c8/gr10.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbc4/11379585/6b777854083a/gr2.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbc4/11379585/b7ddee54fd54/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbc4/11379585/0193acb65552/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbc4/11379585/1ce8994a1662/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbc4/11379585/117b8c7622c8/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbc4/11379585/f441f5099d5e/ga1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbc4/11379585/d256515fc92b/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbc4/11379585/6b777854083a/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbc4/11379585/4155a0eef16c/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbc4/11379585/4075904c4fa0/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbc4/11379585/5b0c74f2d248/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbc4/11379585/143265fbaaa2/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbc4/11379585/b7ddee54fd54/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbc4/11379585/0193acb65552/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbc4/11379585/1ce8994a1662/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbc4/11379585/117b8c7622c8/gr10.jpg

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