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EFFECT OF HIGH‐PRESSURE HOMOGENIZATION ON THE FUNCTIONAL PROPERTY OF PEANUT PROTEIN

2010· article· en· W1549181262 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.

Bibliographic record

VenueJournal of Food Process Engineering · 2010
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicProteins in Food Systems
Canadian institutionsAgriculture and Agri-Food Canada
Fundersnot available
KeywordsSolubilityChemistryFood scienceMicrostructureHomogenization (climate)Differential scanning calorimetryProtein isolateScanning electron microscopePea proteinChemical engineeringChromatographyMaterials scienceOrganic chemistryBiologyCrystallographyComposite material

Abstract

fetched live from OpenAlex

ABSTRACT The effect of high‐pressure homogenization (HPH) at 0.1 (control), 40 or 80 MPa on the denatured peanut protein were investigated. Solubility, emulsifying property, foaming property, differential scanning calorimetry (DSC) characteristic, water‐holding capacity (WHC) and scanning electron microscope (SEM) analysis of the peanut protein isolates (PPIs) from the peanut flour after various HPH treatments were analyzed. Increased solubility of the denatured peanut protein by HPH treatment depended on the pH value. In the range of pH 4−7, the HPH‐treated peanut protein exhibited a higher solubility than the non‐HPH‐treated protein, but the HPH treatment did not affect significantly the solubility in the range of pH 8−10. HPH treatment improved the emulsifying activity index (EAI) and foaming capacity (FC) but reduced the emulsifying stability index and foaming stability. In addition, HPH treatment markedly improved the WHC but slightly affected the DSC parameter. Based on the observation of SEM, many irregular fine crackles in the peanut protein after HPH treatment appeared, which showed that the treatment resulted in the change in the surface microstructure of the protein. These results indicated that the HPH treatment led to the modification of the microstructure of peanut protein and, thus, improved its functional properties such as EAI, FC and WHC. PRACTICAL APPLICATIONS Functional properties of plant and animal proteins are important in food processing and production formulation. Peanut exhibits an excellent potential as a source of plant proteins. Improvement of functional or nutritional properties of proteins can help produce some novel food products in food industry. The use of high‐pressure homogenization (HPH) is one of the most efficient means to improve the functional properties of plant proteins. The study exhibited that application of HPH treatment resulted in the changed the microstructure of peanut protein and, thus, improved its functional properties such as the emulsifying activity index, foam capacity and water‐holding capacity, which might be utilized in food industry.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.123

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.009
GPT teacher head0.183
Teacher spread0.174 · 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