MétaCan
Menu
Back to cohort

PERFORMANCE COMPARISON OF TWO MEDIA DURING STARCH–PROTEIN SEPARATION OF CHICKPEA FLOUR USING A HYDROCYCLONE

2009· article· en· W1989382028 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 · 2009
Typearticle
Languageen
FieldEngineering
TopicCyclone Separators and Fluid Dynamics
Canadian institutionsUniversity of SaskatchewanAgriculture and Agri-Food Canada
Fundersnot available
KeywordsArithmetic underflowIsopropyl alcoholHydrocycloneStarchChemistryChromatographyFraction (chemistry)FractionationFood scienceOrganic chemistry

Abstract

fetched live from OpenAlex

ABSTRACT Chickpea flour was suspended in isopropyl alcohol or deionized water at three concentrations and fractionated to the underflow (starch fraction) and the overflow (protein fraction) using a hydrocyclone. The separation using deionized water resulted in higher starch content in the underflow and higher protein content in the overflow than using isopropyl alcohol. Deionized water resulted in a greater starch separation efficiency (96.3–97.8%) and slightly lower protein separation efficiency (70.4–73.3%) than did isopropyl alcohol. The geometric mean diameter (GMD) of the overflow and underflow increased with a decrease in inlet pressure. The GMD of the underflow fraction in deionized water (26.27–31.28 µ m) was greater than that in isopropyl alcohol (17.09–21.12 µ m). In both media, the estimated centrifugal and drag forces increased with a decrease of inlet pressure. The centrifugal force applied to the particles in deionized water (1.32 × 10 − 6 –1.67 × 10 − 6 N) was greater than that in isopropyl alcohol (0.54 × 10 − 6 –0.76 × 10 − 6 N). Therefore, deionized water resulted in markedly higher starch separation efficiency. However, in isopropyl alcohol, a higher drag force was applied to the particles, and the protein separation efficiency was slightly greater than in deionized water. PRACTICAL APPLICATIONS The separation of starch and protein from chickpea flour in suspension of isopropyl alcohol or deionized water using a hydrocyclone was investigated. Fractionation from the deionized water suspension resulted in higher starch content in the underflow and higher protein content in the overflow than from isopropyl alcohol. The method using deionized water resulted in higher starch separation efficiency; the separation using isopropyl alcohol resulted in slightly higher protein separation efficiency. The differences in the separation efficiencies of the two media were related to the variations in forces applied to the particles in the hydrocyclone. The magnitude of forces applied to the starch granules and protein particles was estimated.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.054
Threshold uncertainty score0.896

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.011
GPT teacher head0.262
Teacher spread0.251 · 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