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Ultrasound-Assisted Extraction of Bioactive Compounds from Strawberry Pomace: Optimization and Bioactivity

Milena Terzić¹, Biljana Lončar¹, Mirjana Petronijević¹

¹Faculty of Technology Novi Sad, University of Novi Sad, Bulevar cara Lazara 1, 21000 Novi Sad, Serbia.

Antioxidants (Basel, Switzerland)

|January 28, 2026

Summary

This study optimized ultrasound-assisted extraction (UAE) of strawberry pomace, yielding a bioactive extract rich in phenolics and flavonoids. The process is environmentally friendly, offering potential for food and pharmaceutical applications.

Keywords:

artificial neural networks by-product valorization greenness metric phenolic compounds strawberry pomace

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Area of Science:

Food Science
Biotechnology
Green Chemistry

Background:

Strawberry pomace is a phenolic-rich byproduct with significant valorization potential.
Efficient extraction methods are needed to harness the bioactive compounds from strawberry pomace.

Purpose of the Study:

To optimize ultrasound-assisted extraction (UAE) of strawberry pomace.
To evaluate the bioactivity of the extracted compounds.
To assess the environmental friendliness of the UAE process.

Main Methods:

Ultrasound-assisted extraction (UAE) was employed to extract bioactive compounds.
AGREEprep metric was used for greenness assessment.
Artificial neural network (ANN) modeling was utilized for parameter optimization.

Main Results:

Optimized UAE conditions yielded extracts with high total phenolic (16.49 mg GAE/g) and flavonoid (2.10 mg RE/g) content.
The extract demonstrated significant antioxidant activity (DPPH, ABTS, CUPRAC, FRAP) and enzyme inhibition (tyrosinase, acetylcholinesterase).
The UAE process achieved a greenness score of 0.68/1, indicating environmental friendliness.

Conclusions:

UAE is an efficient and sustainable method for strawberry pomace valorization.
ANN modeling provides a robust approach for optimizing extraction parameters.
The bioactive extracts hold promise for food, nutraceutical, and pharmaceutical industries.