Integrating functional and techno-economic analyses to optimize black bean protein extraction: a holistic framework for process development.

Jasmin S Yang, Fernanda F G Dias, Karen A McDonald, Juliana M L N de Moura Bell

Abstract read

In one paragraph

Article in Current research in food science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it

0cells of the map it votes in

2citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

From Grass to Protein: Assessing the Economic Viability of Mechanochemical-Assisted Extraction for Sustainable Food Production.ACS sustainable chemistry & engineering · 2026
Article
Mechanism and Potential of Aqueous Enzymatic Extraction for Constructing Green Production System for Lipids and Proteins.Foods (Basel, Switzerland) · 2025
Review

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Jasmin S YangDepartment of Food Science and Technology, University of California, Davis, One Shields Avenue, Davis, CA, 95616, United States.

Fernanda F G DiasDepartment of Food Science and Technology, University of California, Davis, One Shields Avenue, Davis, CA, 95616, United States.

Karen A McDonaldDepartment of Chemical Engineering, University of California, Davis, One Shields Avenue, Davis, CA, 95616, United States.

Juliana M L N de Moura BellDepartment of Food Science and Technology, University of California, Davis, One Shields Avenue, Davis, CA, 95616, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to develop aqueous (AEP) and enzyme-assisted extraction processes (EAEP) for black bean proteins using an optimization framework that integrates functionality and industrial-scale profitability. A preliminary screening was performed to identify the best pH (AEP) and food-grade enzyme (EAEP) regarding total protein extractability (TPE), solubility, and

Indexed as

Black beanEnzyme-assisted extractionFunctional propertiesIn vitro protein digestibilityPhysicochemical propertiesProcess optimizationTechno-economic analysis

Identifiers

PMID40491529

DOI10.1016/j.crfs.2025.101078

PMCPMC12148614

What OpenQuestion holds

Textmetadata

LicenceCC BY-NC

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.