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Record W1971610031 · doi:10.1002/star.201000134

Physicochemical properties of sweetpotato starch

2011· article· en· W1971610031 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

VenueStarch - Stärke · 2011
Typearticle
Languageen
FieldNursing
TopicFood composition and properties
Canadian institutionsUniversity of Guelph
FundersUniversity of Hong Kong
KeywordsAmyloseStarchChemistrySwellingGel permeation chromatographySolubilityFood scienceSugarChemical engineeringPolymerOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract Sweetpotato starch is high‐yielding, but has limited development and uses. In this study, physicochemical properties of sweetpotato starch from 11 representative genotypes with diverse geographic origins in China were characterized and showed wide variations. Apparent amylose contents measured by iodine binding ranged from 23.3 to 26.5%, by gel permeation chromatography after debranching from 17.5 to 23.9%, and true amylose content by concanavalin A binding from 15.9 to 22.5%. In vitro digestibility varied from 29.5 to 41.2%. Swelling power and water solubility index were highly correlated ( r 2 = 0.88). Gelatinization peak temperature and enthalpy ranged from 75.4 to 79.7°C, and 7.6 to 13.6 J/g, respectively. Pasting peak and cold paste viscosities varied from 268 to 469 RVU, and 170 to 284 RVU. Amylose contents were highly correlated to digestibility, pasting, and thermal parameters.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.042
Threshold uncertainty score0.537

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 head0.070
GPT teacher head0.269
Teacher spread0.199 · 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