Bibliographic record
Abstract
【Objective】High-amylose maize starch is an important industrial raw material.This study investigated its physicochemical properties to improve the cultivation of new varieties and industrial exploitation.【Method】Using thirteen high-amylose maize inbreds and one common inbred(Zheng 58),the differences in phenotypic characteristics of starch granules,thermal properties,pasting properties,solubility and expansion power of high-amylose maize starch and normal maize starch were investigated.【Result】The amylose content of common maize inbred starch was 27.72%.The amylose content of high-amylose maize inbred starch was 44.22%-78.81%,and could be divided into four levels.According to scanning electron micrographs,A-type starch granules from common inbred were full and smooth spheres or polyhedrons with waxy luster but those from high-amylose maize inbred were shrunken irregular and dull polyhed-rons.There were also significant differences in B-type starch granules and full and smooth spheres gradually changed to dull ovals,even to distorted irregular shapes.With increase of amylose content,To,Tp,Tc and To-Tc gradually increased butΔHgradually reduced.The pasting properties(RVA)of common inbred starch showed typicaldoubletscurve,while that of high-amylose maize inbred starch showedScurve with the increase of amylose content.The melting curves and expansion curves of common inbred starch and high-amylose maize inbred starch showed same trends,while starch solubility and swelling degree decreased significantly with the increase of amylose content.【Conclusion】Compared to common corn starch,high-amylose corn starch was different in the phenotypic characteristics of starch granules,thermal properties,pasting properties,solubility and swelling power.The difference increased as the increase of amylose content.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".