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Record W4407843600 · doi:10.1002/leg3.70025

Impact of Radiofrequency and Microwave Heating on the Nutritional and Antinutritional Properties of Pulses: A Review

2025· review· en· W4407843600 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueLegume Science · 2025
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMagnetic and Electromagnetic Effects
Canadian institutionsNational Research Council CanadaUniversity of SaskatchewanSaskatchewan Research Council (Canada)
FundersNational Research Council CanadaNatural Sciences and Engineering Research Council of CanadaUniversity of Saskatchewan
KeywordsMicrowaveMicrowave heatingMaterials scienceComputer scienceTelecommunications

Abstract

fetched live from OpenAlex

ABSTRACT Pulses, which are the dry seeds of legume crops, have gained global popularity, leading to a notable rise in their production. They are rich in protein, minerals, fibers, and low in fat content. However, they have some antinutrients that need to be removed. Novel techniques like radiofrequency (RF) and microwave (MW) heating can enhance pulse quality by reducing the antinutrients. The key mechanism behind this improvement is the rapid heating that disrupts the native structure of the pulses. These technologies offer several advantages, including speed, consistency, sustainability, and energy efficiency. The effectiveness of RF and MW processing depends on the heating conditions used and the kind of pulses being treated. This review highlights the mechanisms and influencing factors of RF and MW heating as well as their effect on the nutritional and antinutritional qualities of various pulses. Additionally, the limitations of these technologies are summarized, and future research prospects focusing on pulse processing are identified.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.648
Threshold uncertainty score0.431

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.307
Teacher spread0.289 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it