Model development and process optimization for solvent extraction of polyphenols from red grapes using Box-Behnken...

Area of Science:

• Food Science
• Natural Product Chemistry
• Agricultural Science

Background:

• Polyphenols, abundant in red grapes, possess significant health benefits.
• Efficient extraction of these bioactive compounds is crucial for their application in food and pharmaceutical industries.
• Optimizing extraction parameters is key to maximizing yield and preserving compound integrity.

Purpose of the Study:

• To determine the optimal extraction conditions for polyphenols from red grapes.
• To investigate the effects of temperature, time, and solid-liquid ratio on polyphenol yield.
• To apply statistical modeling (Box-Behnken design) for process optimization.

Main Methods:

• Red grape polyphenols were extracted using an acid-ethanol solvent.
• Box-Behnken design was employed to study extraction temperature (40-60°C), time (20-100 min), and solid-liquid ratio (1:5-1:15 g:ml).
• Derringer's desirability function methodology was used to identify optimal conditions.

Main Results:

• Quadratic models significantly predicted the extraction yields for total anthocyanin, phenolic, and flavonoid content.
• Optimal extraction conditions were determined as 57°C, 61 min, and a 1:8.7 g:ml solid-liquid ratio.
• At optimal conditions, yields were 73.92 mg/100 g anthocyanin, 221.4 mg GAE/100 g total phenolics, and 79.08 mg CE/100 g total flavonoids.

Conclusions:

• The study successfully optimized polyphenol extraction from red grapes using a statistically designed methodology.
• The established conditions provide a robust method for maximizing the recovery of valuable bioactive compounds.
• The findings contribute to efficient utilization of red grapes for polyphenol production.