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Process research of macroporous resin chromotography for separation of N-(p-coumaroyl)serotonin and N-feruloylserotonin from Chinese safflower seed extracts

机译:大孔树脂色谱法从红花种子提取物中分离N-(对香豆酰基)5-羟色胺和N-阿魏酰基5-羟色胺的工艺研究

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摘要

N-(p-Coumaroyl)serotonin (CS) and N-feruloylserotonin (FS) are two bioactive serotonin derivatives in safflower (Carthamus tinctorius L.) seeds with many biological effects. In the present study, the sorption and desorption characteristics of six widely used macroporous resins, coded D312,860021, DM131, HZ801, AB-8 and XDA-1, respectively, is critically evaluated and compared for enrichment and preparative separation of CS and FS. Static adsorption and desorption experiments on these resins showed that XDA-1 had the best adsorption and desorption equilibrium for CS and FS, and its adsorption equilibrium fits the best to the Langmuir isotherm. Dynamic adsorption and desorption experiments on XDA-1 resin packed column were conducted to establish the optimum parameters as: CS and FS concentration in sample solution 0.346 and 0.276 mg/mL, respectively, sample size 5-bed volumes (BV), sample flow rate 2 mL/min, temperature 25 °C (for adsorption); eluent 80% ethanol, 11 BV, flow rate 1 mL/min (for desorption). After one run of adsorption and desorption, the contents of CS and FS were increased from 2.01%, 1.67% to 24.1% and 22.4%, and the recoveries were 77.2% and 68.5%, respectively. The chromatographic process optimized in the present work is a promising basis for large scale preparation of CS and FS upon further scaling up tests.
机译:N-(对香豆酰基)5-羟色胺(CS)和N-阿魏酰5-羟色胺(FS)是红花(Carthamus tinctorius L.)种子中的两种生物活性5-羟色胺衍生物,具有许多生物学作用。在本研究中,严格评估了六种广泛使用的大孔树脂的吸附和解吸特性,分别编码为D312,860021,D​​M131,HZ801,AB-8和XDA-1,并比较了CS和FS的富集和制备分离。这些树脂的静态吸附和解吸实验表明,XDA-1对CS和FS具有最佳的吸附和解吸平衡,并且其吸附平衡最适合Langmuir等温线。进行了XDA-1树脂填充柱的动态吸附和解吸实验,以建立最佳参数:样品溶液中CS和FS的浓度分别为0.346和0.276 mg / mL,样品尺寸5床体积(BV),样品流速2 mL / min,温度25°C(用于吸附);洗脱液80%乙醇,11 BV,流速1 mL / min(用于解吸)。经过一轮吸附和解吸,CS和FS的含量分别从2.01%,1.67%增加到24.1%和22.4%,回收率分别为77.2%和68.5%。本工作中优化的色谱过程是在进一步扩大测试规模后大规模制备CS和FS的有前途的基础。

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