MétaCan
Menu
Back to cohort
Record W6999581924

Development and Characterization of Soymilk Okara Gels Modified by Citric Acid

2023· dissertation· en· W6999581924 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueUWSpace (University of Waterloo) · 2023
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicSeaweed-derived Bioactive Compounds
Canadian institutionsnot available
FundersUniversity of Waterloo
KeywordsCitric acidSwelling capacityPectinMaillard reactionWater holding capacityAmphiphilePolysaccharide
DOInot available

Abstract

fetched live from OpenAlex

Okara, a valuable resource rich in fiber (53 – 58 %), protein (25 – 28 %), and lipids (9 – 11 %), also contains significant isoflavones and essential minerals, offering nutritional and health benefits. Recent research aims to enhance its utilization in high-fiber tofu, however, the incorporation of okara in soymilk for the gelation results in a heterogeneous, gritty network structure due to its high water absorbing capacity and large particle size. The present study aimed to explore the effects of citric acid (CA) modified okara materials on the characterization of soymilk okara gels as well as gain understanding of the underlying mechanisms of okara modification and soymilk gelation. Initially, okara was modified with CA solutions at concentrations ranging from 2.5 to 10 %, followed by the heat-induced gelation with soymilk at 95 °C. With the modification of okara by 2.5 % CA solution, soymilk okara gels exhibited increase in level of homogeneity and hydrophobic protein-protein interactions, indicating an improvement in the compatibility between okara and soymilk gel. This finding might be attributed to the extensive okara fiber degradation, release of pectin and formation of amphiphilic protein-polysaccharides conjugates via Maillard reaction, as confirmed by TGA and FTIR. When increasing the CA concentration from 2.5 to 5 and 10 %, the soymilk okara gels exhibited even higher levels of homogeneity, accompanied with the reduction in viscoelasticity by around 4 times and in hydrophobic protein-protein interactions from 62.8 to 37.2 mg protein/g sample. Concurrently, the water holding capacity (72 – 80 %) and mechanical properties including true fracture stress (1400 – 1700 Pa) and Young’s modulus (7000 – 10000 Pa) remained similar. Additionally, at the micro-scale, soymilk okara gels modified by CA exhibited a particulate protein matrix, compared to fine-stranded structure observed in gels without CA, which might be attributed to the unreacted CA’s effect on protein during the gelation process.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.524
Threshold uncertainty score0.763

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.019
GPT teacher head0.188
Teacher spread0.170 · 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