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A benign alternative process for efficient separation of pure commercially important flavonoid nutraceuticals from edible plants

Subramaniam, Shankar, Raju, Ravikumar, Sivasubramanian, Aravind
Journal of food science and technology 2017 v.54 no.6 pp. 1519-1526
correlation, experimental design, flavonoids, food industry, food plants, functional foods, high performance liquid chromatography, models, regression analysis
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.