Recent Research and Progress in Food, Feed and Nutrition with Advanced Synchrotron-based SR-IMS and DRIFT Molecular Spectroscopy
Bibliographic record
Abstract
Ultraspatially resolved synchrotron radiation based infrared microspectroscopy is able to detect the structure features of a food or feed tissue at cellular and molecular levels. However, to date, this advanced synchrotron-based technique is almost unknown to food and feed scientists. The objective of this article was to introduce this novel analytical technology, ultra-spatially resolved synchrotron radiation based infrared microspectroscopy (SR-IMS) to food, feed, conventional nutrition, and molecular nutrition scientists. The emphasis of this review focused on the following areas: (1) Principles of molecular spectroscopy for food and feed structure research, such as protein molecular structure, carbohydrate conformation, heating induced protein structure changes, and effect of gene-transformation on food and feed structure; (2) Molecular spectral analysis methodology; (3) Biological applications of synchrotron SR-IMS and DRIFT spectroscopy; and (4) Recent progress in food, feed and nutrition research program. The information described in this article gives better insight in food structure research progress and update.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".