Structural characteristics of hemicelluloses and lignin-carbohydrate complexes in alkaline-extracted bamboo green, core, and yellow
Bibliographic record
Abstract
Understanding the differences in the chemical structures of important components in different bamboo tissues is crucial for maximizing bamboo utilization and biorefining bamboo resources. Hemicellulose and lignin-carbohydrate complex (LCC) were extracted from bamboo green, bamboo core, and bamboo yellow tissues by using the alkali-leaching method, and the chemical composition, thermal stability, dissolution process, and structural characteristics were analyzed. The extraction yield of hemicelluloses followed the order: bamboo yellow > bamboo core > bamboo green. Hemicelluloses extracted from bamboo green mainly originated from the secondary wall (S-layer) of the fiber cells and parenchyma cell walls, while those from the bamboo core and yellow mainly originated from the inner S-layer and outer S-layer of the fiber cells, as well as the parenchyma cell walls. The LCCs from bamboo core and bamboo yellow contained a large number of type I phenyl glycoside (PhGlc1) bonds, which mainly originated from the parenchyma cell walls of these tissues. These findings provide data on the structural differences between carbohydrate components in green, core, and yellow bamboo, offering valuable guidance for the high-value utilization of different bamboo tissues.
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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 | 0.001 | 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) | 0.001 | 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".