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Record W7028893439

Influence of storage on the cooking quality of Canadian wonder common beans (Phaseolus vulgaris): insight into mechanism of softening and evolution of volatile compounds

2018· article· en· W7028893439 on OpenAlexaboutno aff

Bibliographic record

VenueLirias (KU Leuven) · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicGlobalization, Historical Perspectives, and International Relations
Canadian institutionsnot available
Fundersnot available
KeywordsSofteningStarchTexture (cosmology)PectinMiddle lamellaAnalyser
DOInot available

Abstract

fetched live from OpenAlex

In this study, the mechanism of softening and evolution of volatile compounds during cooking of Canadian wonder common beans (Phaseolus vulgaris) were explored. If stored inappropriately, common beans develop a textural defect, hard-to-cook (HTC) hence its influence on softening and evolution of volatiles was investigated. Fresh and aged (with HTC) beans were soaked and cooked in demineralised water, hardness (as an indicator of texture) was measured using a texture analyser to obtain cooking profiles from which the rate of softening of the beans was determined. Thereafter, the cooked tissues were disintegrated using pestle and mortar to mimic mastication before determination of the rate-limiting step in softening of beans during cooking. On the one hand, microstructure visualisation of disintegrated tissues was done to investigate evolution of tissue failure with increased cooking time. On the other hand, the extent of starch gelatinisation with increased cooking time was evaluated using calorimetry. To study the evolution of volatile compounds from beans during cooking, fresh and aged beans were soaked then cooked in demineralised water in sealed tubes to capture the produced volatiles. Thereafter, the volatile fraction was analysed using headspace-solid phase microextraction-gas chromatography-mass spectrometry and marker compounds were identified using multi-variate data analysis. During cooking, hardness of beans decreased and upon disintegration, an evolution from cell breakage to cell separation was observed. Presence of HTC decreased the rate of softening and delayed cell separation. Starch was gelatinised early during cooking. Therefore, softening of beans was attributed to mainly pectin solubilisation (mainly in the middle lamella) as indicated by cell separation. The influence of cooking time on evolution of volatile compounds from beans was very clear and a number of marker compounds were identified. This study revealed that pectin solubilisation is the main mechanism for softening of beans and that volatile compounds of significance were produced during cooking. Hard-to-cook showed a great influence on bean softening and evolution of volatiles both of which determine the cooking quality of beans.

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.

How this classification was reachedexpand

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.535
Threshold uncertainty score0.693

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.031
GPT teacher head0.306
Teacher spread0.275 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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