Subramaniam Shankar, Raju Ravikumar, Sivasubramanian Aravind
School of Chemical and Biotechnology, SASTRA University, Thanjavur, 613402 India.
Department of Chemistry, Vivekanandha College of Arts and Sciences for Women (Autonomous), Elayampalayam, 637 205 India.
J Food Sci Technol. 2017 May;54(6):1519-1526. doi: 10.1007/s13197-017-2583-y. Epub 2017 Mar 22.
The present study signifies the development of a unique, optimized procedure for both selective determination and separation of different flavonoid nutraceuticals from edible plants. Totally ten different flavonoids were determined (HPLC-DAD) and isolated from five different plants using the developed process with a remarkable purity of 91-98% and recovery of 88-95%. Box-Behnken experimental design model yielded a optimized amount of 40.36 mg/g of AI extract (Pinostrobin) and 28.95 mg/g of AI extract (Baicalein) with a high correlation coefficient (0.98-0.99), indicating a good fit between the second order regression model and the experimental observations. The final purity of compounds through optimized process is 97.1% (Pinostrobin) and 93.5% (Baicalein) respectively. The optimized yields depicted a total recovery of 92% for pinostrobin, and 89% for Baicalein respectively. Thus, the developed process worked as a potential alternative which when statistically optimized results in a remarkable recovery of flavonoids from various plants. Being an environmentally friendly protocol the process could be useful in industrial separation of commercially important flavonoids widely applied in food industry.
本研究表明开发了一种独特的、优化的程序,用于从可食用植物中选择性测定和分离不同的类黄酮营养保健品。使用所开发的方法,通过高效液相色谱-二极管阵列检测法(HPLC-DAD)测定并从五种不同植物中分离出了总共十种不同的类黄酮,其纯度高达91%-98%,回收率为88%-95%。Box-Behnken实验设计模型得出了40.36 mg/g的AI提取物(松属素)和28.95 mg/g的AI提取物(黄芩素)的优化量,相关系数较高(0.98-0.99),表明二阶回归模型与实验观察结果拟合良好。通过优化工艺得到的化合物最终纯度分别为97.1%(松属素)和93.5%(黄芩素)。优化后的产率表明,松属素的总回收率为92%,黄芩素为89%。因此,所开发的工艺是一种潜在的替代方法,经过统计优化后,能从各种植物中显著回收类黄酮。作为一种环境友好的方案,该工艺可用于食品工业中广泛应用的商业重要类黄酮的工业分离。