Rapid High Performance Liquid Chromatography Determination and Optimization of Extraction Parameters of the α-Asarone Isolated from Perilla frutescens L.

S. Hwang, S. Kwon, Y. Kang, Jae-yong Lee, S. Lim
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引用次数: 4

Abstract

Response surface methodology (RSM), based on a central composite design, was used to determine the best liquid-to-raw material ratio (10:3–15 mL/g), extraction time (1–3 h), and ethanol concentration (50%–100%) for maximum content of α-asarone from Perilla frutescens (PF) extract. Experimental values of α-asarone were 9.51–46.36 mg/g; the results fitted a second-order quadratic polynomial model and correlated with the proposed model (R2 > 0.9354). The best conditions were obtained with extraction time of 1.76 h, liquid-to-raw material ratio of 10:13.5 mL/g, and ethanol concentration of 90.37%. Under these conditions, the model predicted extraction content of 40.56 mg/g, while experimental PF content of α-asarone was 43.84 mg/g dried plant. Optimized conditions determined for maximum content of α-asarone were similar to the experimental range. Experimental values agreed with those predicted, thus validating and indicating suitability of both the model and the RSM approach for optimizing extraction conditions. In addition, a reliable, reproducible and accurate method for the quantitative determination of α-asarone by High Performance Liquid Chromatography (HPLC) analysis was developed with limit of detection (LOD), limit of quantitation (LOQ) values of 0.10 and 0.29 µg/mL and excellent linearity (R2 > 0.9999).
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紫苏中α-细辛酮的高效液相色谱快速测定及提取工艺优化
采用响应面法(RSM),以中心复合设计为基础,确定了紫苏提取物中α-asarone含量的最佳料液比(10:3 ~ 15 mL/g)、提取时间(1 ~ 3 h)、乙醇浓度(50% ~ 100%)。α-细辛酮实验值为9.51 ~ 46.36 mg/g;结果拟合二阶二次多项式模型,与所建模型相关(R2 > 0.9354)。最佳提取条件为提取时间1.76 h,料液比10:13.5 mL/g,乙醇浓度90.37%。在此条件下,模型预测α-细辛酮的提取含量为40.56 mg/g,而实验中α-细辛酮的PF含量为43.84 mg/g。α-细辛酮最大含量的优化条件与实验范围基本一致。实验值与预测值一致,从而验证并表明了模型和RSM方法在优化提取条件方面的适用性。建立了α-细辛酮的高效液相色谱(HPLC)定量分析方法,检测限(LOD)、定量限(LOQ)分别为0.10和0.29µg/mL,线性良好(R2 > 0.9999),重复性好。
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