Optimization of the Ultrasonic-assisted Extraction Process for Protocatechuic Acid from Emilia sonchifolia DC by Response Surface Methodology  

作　　者：Wen CHEN Xiangjun WANG Lingyan LI Zhewen ZHAI Xiaoling HUANG Wubing RAO Chenghan ZOU Tengtong LI 

机构地区：[1]College of science,Hainan Tropic Ocean University,Sanya 572022,China [2]College of Fisheries and life,Hainan Tropic Ocean University,Sanya 572022,China [3]College of Food Science,Southwest University,Chongqing 400715,China

出　　处：《Agricultural Biotechnology》2020年第3期58-66,共9页农业生物技术（英文版）

基　　金：Supported by Basic and Applied Basic Research Plan of Hainan Province in2019 (2019RC245);Natural Science Foundation of Hainan Province in 2017(217157)。

摘　　要：[Objectives] This study was conducted to optimize the extraction process of protocatechuic acid from Emilia sonchifolia DC. [Methods] The optimal extraction conditions were determined by single factor,response surface analysis and variance analysis,and the content of protocatechuic acid was determined by HPLC. [Results] The protocatechuic acid standard curve equation was: y = 1 435 x + 8 403,R^2= 0. 999 8,indicating a good linear relationship. The optimal extraction conditions were as follows: a temperature at 80 ℃,an extraction time of 1 h,a material-to-liquid ratio at 1:10 and an ultrasonic power of 600 W,and the content of protocatechuic acid extracted was 1. 93 mg/g. The method showed a RSD of 0. 41%,less than 2%,and the detection limit was 0. 0000047261 g/ml.The experimental sample X1 was the low-level 0. 1 mg/ml standard solution,which showed recovery of protocatechuic acid between 100.8% and 105.2%,with a RSD of 0. 013%;and the sample X2 was the high-level 1. 0 mg/ml standard solution,which exhibited recovery between 100. 6% and 102. 2%,with a RSD of 0.076%. Thus,the recovery was high,and the requirements of the performance index were met. [Conclusions] The detection method is stable and reliable and can produce satisfactory results.

关 键 词：Emilia sonchifolia DC Protocatechuic acid HPLC Response surface optimization Variance analysis 

分 类 号：TQ464[化学工程—制药化工]