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Record W2356533100

On the Relationship between Color Reaction of Starch with I_2 and Content of Reducing Sugar

2005· article· en· W2356533100 on OpenAlex
WU Zhong-liang

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

VenueResearch and Exploration in Laboratory · 2005
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEnzyme Production and Characterization
Canadian institutionsL'Alliance Boviteq
Fundersnot available
KeywordsStarchSugarReducing sugarChemistrySubstrate (aquarium)Food scienceDecompositionColor reactionOrganic chemistryBiologyReagent
DOInot available

Abstract

fetched live from OpenAlex

An experiment was designed that combines both qualitative and quantitative experiment on sugar. The content of reducing sugar is measured when the different colors change during the reaction of starch with I_2, and a qualitative result corresponding to a quantitative experiment is reported. When the concentration of substrate starch is 2 g/L and that of α-amylase is 0.5u/mL, the solution shows blue, violet and red for the reaction time of 0~2.5 minu, 2.5~5.5min and 5.5~13.5 min respectively. Beyond 13.5 min, the solution turns to colorless. The decomposition rates of reducing sugar corresponding to the changing point of colors are 45% (blue to violet), 66%(violet to red) and 76%(red to colorless) respectively.

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 score0.195
Threshold uncertainty score0.125

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 head0.130
GPT teacher head0.342
Teacher spread0.212 · 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