Effect of heat processing methods on spectral images of biological tissues (yellow canola seed protein) using advanced synchrotron-based infrared technique
Bibliographic record
Abstract
The objective of this study was to use the synchrotron-based SR-IMS imaging technique to study heating effect on protein molecular imaging of yellow canola seed tissues. The heating methods included the control (raw), autoclaving at 120°C for 1 h and dry roasting at 120°C for 1 h. The spectral images were carried out from outside to inside of the yellow seed tissues under functional groups of amide I at ca. 1650 cm −1 and amide II at ca. 1550 cm −1 . The results showed protein amide I and II spectral features were affected by heating methods. The heat processing induced changes in protein secondary structure profile. Different processing had different impact on protein secondary structure profile. The spectral images of the yellow seed tissues were different among the control, autoclaved and dry heated treatments. Future study is needed to confirm such changes with a large number of seed samples and compare the response to different heat-related processing between yellow canola seed (with thin seed coat) and dark-brown canola seed (with thick seed coat).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".