# Impact of Green Extraction Methods for Algae and Aquatic Plants on Amino Acid Composition and Taste Detection Using Electronic Tongue Analysis

**Authors:** Lyket Chuon, Witoon Prinyawiwatkul, Amporn Sae-Eaw, Peerapong Wongthahan

PMC · DOI: 10.3390/foods15020305 · 2026-01-14

## TL;DR

This study compares green extraction methods for algae and aquatic plants, finding that extraction method and material compatibility strongly influence protein yield, amino acid content, and taste profiles.

## Contribution

The study introduces a comparative analysis of green extraction methods for algae and aquatic plants, linking amino acid profiles to taste detection using electronic tongue analysis.

## Key findings

- Wolffia extracted by maceration yielded the highest protein compared to other methods and commercial seaweed.
- Higher levels of glutamic and aspartic acids were associated with umami taste, while histidine contributed to bitter taste.
- Extraction efficiency was more influenced by method-material compatibility than raw material alone.

## Abstract

The growing demand for sustainable protein sources has increased interest in algae and aquatic plants as alternatives to animal-derived proteins. These resources are rich in protein, amino acids, and umami compounds but require suitable extraction methods to maximize yield and quality. This study compared three green extraction techniques—maceration (MAE, 80 °C, 2 h), ultrasound-assisted extraction (UAE, 750 W, 20 kHz, 50% amplitude, 35 °C, pH 12, 1 h), and enzyme-assisted extraction (EAE, 5% β-glucanase/flavourzyme, 55 °C, pH 6.5, 1 h)—on five raw materials: wakame (commercial seaweed), hair seaweed, sea lettuce, water silk algae, and Wolffia. The result revealed that both raw materials and extraction methods significantly (p < 0.05) affected protein yield, amino acid, physicochemical properties, and taste detection with e-tongue. Wolffia extracted by MAE yielded the highest protein overall, followed by UAE and EAE methods, when compared with commercial seaweed. The relationship between amino acid profiles and taste detection was investigated by principal component analysis (PCA) and hierarchical cluster analysis (HCA); the samples with higher glutamic and aspartic acids were linked with umami taste, while histidine contributed to bitter taste. Overall, the findings highlighted that extraction efficiency was influenced more by the extraction method–material compatibility than the raw material alone.

## Linked entities

- **Chemicals:** flavourzyme (PubChem CID 15578), glutamic acid (PubChem CID 611), aspartic acid (PubChem CID 424), histidine (PubChem CID 773)
- **Species:** Wolffia (taxon 161109)

## Full-text entities

- **Chemicals:** Amino Acid (MESH:D000596), EAE (-), aspartic acids (MESH:D001224), histidine (MESH:D006639)
- **Species:** Wolffia (genus) [taxon 161109], PX clade (clade) [taxon 569578]

## Figures

3 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12840424/full.md

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Source: https://tomesphere.com/paper/PMC12840424