Fluorescent Labeling of Lignin in the Wood Pulp Fiber Wall
Bibliographic record
Abstract
Abstract Fluorescent labeling of lignin in wood pulp fibers with acridine orange (AO) was investigated. The orthochromatic and metachromatic labeling conditions were explored, and the quantitative aspects of fluorescence analysis were discussed. It was found that with sufficiently low AO concentration, orthochromatic only labeling of lignin could be attained, and the fluorescence intensity of stained pulp fibers could be correlated to the lignin concentration of the pulp. The distribution of lignin across the fiber wall was clearly imaged with confocal laser scanning microscopy (CLSM) after fluorescent staining of pulp fibers. Keywords: Acridine orangeLigninCLSMWood pulp fibersFluorescent labeling Acknowledgment The authors wish to acknowledge Erco Worldwide for their financial support for this work.
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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 | 0.001 |
| 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".