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Enhanced separation of bioactive triterpenic acids with a triacontylsilyl silica gel adsorbent: From impulse and breakthrough experiments to the design of a simulated moving bed unit

Title
Enhanced separation of bioactive triterpenic acids with a triacontylsilyl silica gel adsorbent: From impulse and breakthrough experiments to the design of a simulated moving bed unit
Type
Article in International Scientific Journal
Year
2020-10-01
Authors
Azenha, I.S
(Author)
Other
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Aniceto, J.P.S.
(Author)
Other
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Santos, C.A.
(Author)
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Adélio Mendes
(Author)
FEUP
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Silva, C.M.
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Journal
Vol. 248
ISSN: 1383-5866
Publisher: Elsevier
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Scientific classification
FOS: Natural sciences > Chemical sciences ; Engineering and technology > Chemical engineering
Other information
Authenticus ID: P-00S-3AD
Abstract (EN): A simulated moving bed (SMB) unit was designed to separate oleanolic and ursolic acids, two naturally occurring triterpenoids with structural isomerism, with remarkable nutraceutical and pharmacological properties. A triacontylsilyl silica gel adsorbent (stationary phase of an Acclaim C30 column) was considered and impulse tests with different solvents were performed to select a mobile phase, from which methanol/water 95/5 (%, v/v) emerged as the most suitable. Equilibrium and global mass transport coefficients were then determined through breakthrough experiments using pure compound solutions and the C30 column. Afterwards, these parameters were applied to the simulation of two model binary mixture separations, whose breakthrough curves were also experimentally measured. Finally, the SMB unit was designed and optimized. It was demonstrated that using the packing of an Acclaim C30 column and methanol/water 95/5 (%, v/v) as mobile phase it is possible to separate both acids with purities of 99.9 wt.%, a productivity of 1.705 kg/(m(adsorbent)(3) day), and a configuration of two columns per section (2-2-2-2). The simulated results obtained in this work with the C30 stationary phase represent a significant improvement over literature data.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 11
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