# Improving the Texturization of Pea Protein Through the Addition of a Mung Bean Protein Extract Solution and Optimizing the Moisture Content, Screw Speed, and Extrusion Temperature

## TL;DR

This study improves the texture of pea protein by adding mung bean protein extract and optimizing extrusion conditions.

## Contribution

The novel use of mung bean protein extract as a moisture source in high-moisture extrusion is introduced.

## Key findings

- MP addition of 50-60% improved textural and physicochemical properties of pea protein extrudates.
- Optimal extrusion conditions were 53% MP, 160 rpm, and 150°C, achieving a high texturization degree.
- Higher extrusion temperatures reduced texturization and bulk density due to Maillard browning.

## Abstract

This study explores the use of a homemade mung bean protein extract solution (MP) as the moisture source in high-moisture extrusion to produce pea–mung bean composite textured protein (PMP). Single-factor experiments assessed the effects of MP addition amount (30–70%), screw speed (140–220 rpm), and extrusion temperature (140–180 °C) on the textural, physicochemical, and structural properties, followed by optimization using response surface methodology (RSM). MP addition amounts between 50% and 60% promoted higher surface hydrophobicity, a higher disulfide bond content, more ordered secondary structures, and a higher intrinsic fluorescence, accompanied by improved water- and oil-holding capacities, bulk density, and texturization degree (p < 0.05). Screw speeds of 160–180 rpm enhanced texturization and texture via increased shear and reduced residence time, whereas higher extrusion temperatures darkened the color (Maillard browning) and reduced texturization and the bulk density. RSM found that the optimal conditions were 53% MP, 160 rpm, and 150 °C, yielding a theoretical maximum texturization degree of 1.55, which was experimentally validated (1.53 ± 0.02). These findings support MP as an effective green moisture source to tailor the structure and functionality of pea-based high-moisture extrudates. Future work will integrate calibrated SME, sensory evaluation, and application testing in meat-analog formats.