Research Article

Asian Journal of Dairy and Food Research, volume 37 issue 4 (december 2018) : 310-315

Optimization of extraction conditions for improving total polyphenolic content in Quince fruit extracts (Cydonia oblonga Miller) using response surface methodology

Sarver Ahmad Rather, Peerzada Rashid Hussain, Prashant Suradkar, Nazir Ahmad Mir

Affiliations

¹Astrophysical Sciences Division, Bhabha Atomic Research Centre, Srinagar-190 006, Jammu and Kashmir, India.

Submitted06-10-2018|
Accepted29-11-2018|
First Online 27-12-2018|
doi 10.18805/ajdfr.DR-1404

Cite article:- Rather Ahmad Sarver, Hussain Rashid Peerzada, Suradkar Prashant, Mir Ahmad Nazir (2018). Optimization of extraction conditions for improving total polyphenolic content in Quince fruit extracts (Cydonia oblonga Miller) using response surface methodology. Asian Journal of Dairy and Food Research. 37(4): 310-315. doi: 10.18805/ajdfr.DR-1404.

ABSTRACT

The effect of solvent concentration (20–80%), solvent to sample ratio(10:1–30:1), extraction time (10–30 min) and extraction temperature (20-100oC) on total phenolic content (TPC) in quince fruit was investigated for the first time using response surface methodology (RSM). Experiments were designed according to Central Composite Rotatable Design (CCRD) with these four factors, including central and axial points. A second-order polynomial Model satisfactorily fitted the experimental data with the R2 values of 0.89 for the response implying a good agreement between the predicted and experimental values. The optimal conditions of optimized response were solvent conc. of 60%, solvent/sample ratio of 16:1, extraction time of 20 min. and temperature of 65oC. Based on these optimised conditions, our model predicted TPC of 291.8 mg GAE/100g which was in the close agreement with experimental value of 285.2 mg GAE/100g for TPC with %CV of 2.2%.

KEYWORDS

REFERENCES

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Research Article

Optimization of extraction conditions for improving total polyphenolic content in Quince fruit extracts (Cydonia oblonga Miller) using response surface methodology

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