Duque-Estrada · The Proceedings of the Nutrition Society 2026 · Narrative review · n=?

Nutritional quality and processing of plant proteins for healthy and sustainable foods.

Cited 1 times in the scientific literature.

Level 5 - mechanism / opinion, no new human data

Narrative review without systematic search or primary empirical data

PubMed 41566704 · doi:10.1017/S0029665126102213 · record verified 2026-08-28

What was done

The authors conducted a narrative review evaluating how processing techniques, such as thermal extrusion and biological fermentation, influence the nutritional quality, protein digestibility, and antinutrient profile of legume-derived and other plant-based proteins. The review also examined the trade-offs between environmental sustainability and nutritional adequacy, alongside a critique of processing-based food classification systems such as NOVA.

What was found

The abstract reports no numerical findings or quantitative metrics. Qualitatively, it reports that raw plant matrices inherently limit protein digestibility due to antinutrient content, which can be mitigated through thermal and biological processing. However, these processing steps can lead to protein oxidation and the formation of undesirable compounds. Additionally, the authors conclude that current food classification frameworks categorize plant-based alternatives as ultra-processed foods without factoring in ingredient nutritional quality or final digestibility.

Why it matters

As consumers shift toward plant-based diets for environmental reasons, understanding the balance between industrial processing and nutritional quality is critical. The review highlights that rigid food classification systems may disincentivize the consumption of nutritionally adequate plant protein foods by focusing solely on processing level rather than nutrient profile.

Limits

This is a narrative review that presents conceptual arguments rather than a systematic review or meta-analysis. The abstract provides no primary empirical human data, sample sizes, or quantitative effect sizes regarding specific processing methods or health outcomes.

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