Parametric study and optimization of process conditions for solvent extraction of polyphenols from mango seed by response surface methodology (RSM)

Date

6-2016

Degree

Bachelor of Science in Chemical Engineering

College

College of Engineering and Agro-Industrial Technology (CEAT)

Adviser/Committee Chair

Jovita L. Movillon

Abstract

The solvent extraction of polyphenols from mango seed using acetone was studied using factorial design and was optimized through response surface methodology (RSM) experiments using Design-Expert 10.0.1® (trial version, 5989-6302-0001-EVAL, Statease Inc., Minnesota, USA). The responses studied were total phenolic content (TPC) and concentration (10-60% v/v), and reaction time (0-60 min) as factors. The two-factorial analysis revealed that the solids loading, acetone concentration, and reaction time significantly affected the TPC and CUPRAC of the polyphenols extracted. The Box Behnken Design (BBD) was employed for the optimization of the process, wherein the reaction time was extended from 0 to 6 hours, and all the factors considered were significant based from the ANOVA. Significant quadratic models relating the factors were obtained for both responses. It was found that high solids loading, high acetone concentration, and moderate to low reaction time significantly increased the TP and CUPRAC in the extract. The optimum conditions for the process, as generated from the Design Expert, were 15% w/v solids loading, 60% v/v acetone concentration, and 2 hours reaction time. Experimental verification of the optimum conditions yielded TPC of 104.55 mg GAE and CUPRAC of 0.61 A450nm, which were within prediction interval.

Language

English

Location

UPLB College of Engineering and Agro-Industrial Technology (CEAT)

Call Number

LG 993.5 2016 E62 /J67

Document Type

Thesis

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