extraction matrine from radix sopheorae tonkinensis by non-supported liquid membrane extraction technology
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2016
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Abstract
Non-Supported Liquid Membrane Extraction (NSLME) is a new development extraction technology based on Supported Liquid Membrane Extraction (SLME). Sample extraction assembly is composed of three phases: an acceptor phase: phosphate–sodium dihydrogen phosphate buffer solution at the bottom; an organic phase: chloroform applied as the non-supported liquid membrane in the middle layer; and a donor phase: aqueous solution samples containing alkaloids in the upper layer. The whole system is maintained stable by density difference among the three layers that avoided the mutual interferences. The alkaloid in the donor phase can spread to the underlying acidic acceptor phase, where it is able to form water soluble salt in the acid environment, and thus cannot return to the middle organic phase. Therefore, the transmission of alkaloid is a one-way path, and the extraction of alkaloids can be achieved and enriched. In this study, the extraction of alkaloid was carried out by using matrine aqueous solution as the donor phase, and the extraction quantity and efficiency were investigated by GC/MS. This study evaluated the relationship between extracted quantity and extraction time. The effects of extraction temperature, membrane thickness, pH value of acceptor phase on extraction quantity and efficiency were also studied, and the optimal extraction condition was found. The extracted quantity achieved the largest amount at 45 °C when pure phosphoric acid was applied as the acceptor phase; the organic solvent volume was 0.2 mL. The extraction of alkaloid from Radix Sophorae Tonkinensis was performed under the optimized condition. The extraction rate of matrine was up to 54% after a four-hour extraction. A huge advantage of NSLME technology is that the extracted alkaloid enjoyed high purity compared with that extracted by the traditional Liquid–Liquid Extraction (LLE).
| Reference Key |
guo2016arabianextraction
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| Authors | ;Zhifeng Guo;Caiyu Song;Lixia Zhang;Shuo Tian |
| Journal | Behavioural brain research |
| Year | 2016 |
| DOI |
10.1016/j.arabjc.2011.02.028
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