Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/45692
Title: Optimization of an Antihyperglycemic Triherbal Formulation using Response Surface Methodology
Authors: Tanisha
Majumdar, M
Keywords: Antihyperglycemic;Antilipase;Triherbal formulation;RSM;Optimization
Issue Date: Jan-2019
Publisher: NISCAIR-CSIR, India
Abstract: The present study was aimed to optimize the combination of methanolic extracts of Salvia hispanica, Chenopodium quinoa and Nelumbo nucifera seeds for developing an anti-hyperglycemic triherbal formulation with multifunctional potentials based on Response Surface Methodology using central composite design. A three- level factorial design was applied to determine the combined effect of three independent variables (S.hispanica:A;C. quinoa:B and N.nucifera: C) on inhibition of four responses (α- amylase: R1; α-glucosidase:R2; DPPH:R3 and Lipase:R4). The three factors were coded at five levels (−α, −1, 0, +1 and + α), which resulted in 20 experimental runs. The optimum concentration showing α-amylase (79.51%), α-glucosidase (82.97%) and lipase (70.47%) inhibitory activities with DPPH (83.47%) scavenging potential was found to be 1 mg/ml. A quadratic polynomial equation was found to best fit the model with α-amylase R2 = 0.891, α-glucosidase R2 = 0.911, DPPH R2 = 0.904 and lipase R2 = 0.915. The lack-of-fit values were insignificant (p > 0.05) for all four second-order equation. The analytical method was validated and the results were found closer to the predicted values. The optimized formulation was chosen further to develop the triherbal antihyperglycemic formulation.
Page(s): 39-45
URI: http://nopr.niscair.res.in/handle/123456789/45692
ISSN: 0975-1084 (Online); 0022-4456 (Print)
Appears in Collections:JSIR Vol.78(01) [January 2019]

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