Green, infrared‐assisted extraction based on statistical modeling for ultra‐high performance liquid chromatography determination of bioactive isoflavones from Puerariae Lobatae
Green, infrared‐assisted extraction based on statistical modeling for ultra‐high performance liquid chromatography determination of bioactive isoflavones from Puerariae Lobatae
复制标题
基于统计模型的绿色、红外辅助提取用于超高效液相色谱法测定葛根生物活性异黄酮
DOI：
10.1002/sscp.201900030
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发表时间：
2019
影响因子：
1.1
通讯作者：
Bin Yang
中科院分区：
文献类型：
--
作者：
Hua Li;Jingxia He;Rongli Yin;QianQian Mou;Yuqi Bai;Bin Yang
We developed a green infrared‐assisted extraction method for the determination of 3′‐hydroxy puerarin, puerarin, daidzin, genistin, and daidzein inPueraria lobata. After a simultaneous optimization of Box–Behnken design and desirability function, the developed method provided better isoflavone extraction efficiencies with a lower solvent consumption and shorter extraction time than other methods. The optimized extraction used an extraction time of 8 min, solid–liquid ratio of 1:100, and ethanol volume fraction of 60%. Additionally, ultra‐high performance liquid chromatography was used for identification and quantification of the five isoflavones. Our method showed good linearity (r>0.999) over wide concentration ranges. The ranges for the limits of detection and quantitation were 0.03–0.09 μg/mL and 0.14–0.44 μg/mL, respectively, the recovery range was 98.38–103.37%, and the run time was 5.5 min. This approach is efficient, economical, and eco‐friendly, and shows promise for rapid extraction and quantitative analysis of bioactive isoflavones fromPueraria lobata.
