Wang Tao, Lu Shengmin, Xia Qile, Fang Zhongxiang, Johnson Stuart
Key Laboratory of Fruits and Vegetables Postharvest and Processing of Zhejiang Province, Institute of Food Science, Zhejiang Academy of Agricultural Science, Hangzhou 310021, PR China; Zhejiang Normal University, Jinhua 321000, PR China.
Key Laboratory of Fruits and Vegetables Postharvest and Processing of Zhejiang Province, Institute of Food Science, Zhejiang Academy of Agricultural Science, Hangzhou 310021, PR China.
J Chromatogr B Analyt Technol Biomed Life Sci. 2015 Jan 15;975:52-8. doi: 10.1016/j.jchromb.2014.10.038. Epub 2014 Nov 7.
To utilize the low-value thinned bayberry (Myrica rubra Sieb. et Zucc) kernels (TBKs) waste, an efficient method using macroporous adsorption resins (MARs) for separation and purification of amygdalin from TBKs crude extracts was developed. An aqueous crude sample was prepared from a methanol TBK extract, followed by resin separation. A series of MARs were initially screened for adsorption/desorption of amygdalin in the extract, and D101 was selected for characterization and method development. The static adsorption data of amygdalin on D101 was best fitted to the pseudo-second-order kinetics model. The solute affinity toward D101 at 30 °C was described and the equilibrium experimental data were well-fitted to Langmuir and Freundlich isotherms. Through one cycle of dynamic adsorption/desorption, the purity of amygdalin in the extract, determined by HPLC, increased about 17-fold from 4.8% to 82.0%, with 77.9% recovery. The results suggested that D101 resin effectively separate amygdalin from TBKs.
为了利用低值杨梅(Myrica rubra Sieb. et Zucc)核废弃物,开发了一种使用大孔吸附树脂(MARs)从杨梅核粗提物中分离纯化苦杏仁苷的有效方法。用甲醇杨梅核提取物制备水相粗样品,然后进行树脂分离。首先筛选了一系列大孔吸附树脂对提取物中苦杏仁苷的吸附/解吸性能,选择D101进行表征和方法开发。苦杏仁苷在D101上的静态吸附数据最符合准二级动力学模型。描述了30℃时溶质对D101的亲和力,平衡实验数据与Langmuir和Freundlich等温线拟合良好。通过一个动态吸附/解吸循环,通过HPLC测定,提取物中苦杏仁苷的纯度从4.8%提高到82.0%,提高了约17倍,回收率为77.9%。结果表明,D101树脂能有效地从杨梅核中分离出苦杏仁苷。