Top‐down lignomics analysis of the French pine lignin by atmospheric pressure photoionization quadrupole time‐of‐flight tandem mass spectrometry: Identification of a novel series of lignin–carbohydrate complexes
Bibliographic record
Abstract
RATIONALE: We report the top-down lignomics analysis of the virgin released lignin (VRL) extracted from French pine wood by using atmospheric pressure photoionization quadrupole time-of-flight mass spectrometry (APPI-QqTOF-MS) and low-energy collision-induced dissociation tandem mass spectrometry (CID-MS/MS). METHODS: We used APPI-QqTOF-MS (positive ion mode) for the analysis of the complex mixture of VRL oligomers extracted from French pine wood. Some of the major precursor ions were fished out from the complex VRL oligomeric mixture and subjected to low-energy CID-MS/MS analyses. RESULTS: Fourteen novel lignin-carbohydrate complexes (LCCs) were identified using APPI-QqTOF-MS/MS of the very complex mixture of virgin released lignins (VRLs), directly extracted from French pine wood without any kind of purification. The low-energy CID-MS/MS analyses allowed us to establish the fragmentation patterns of the precursor ions and to identify the complex structures of the identified LCC molecules. These novel identified series of LCCs were composed of one or two carbohydrate rings to which one, two, or three lignin units were covalently attached. In addition to the fourteen LCCs, acetyl eugenol was identified in the French pine VRL sample. The identification of acetyl eugenol indicates possible lignin degradation and modification (acetylation) during the mild extraction method developed by the Compagnie Industrielle de la Matière Végétale (CIMV). CONCLUSIONS: The top-down lignomics analysis of the French pine VRLs using APPI-QqTOF-MS and low energy CID-MS/MS allowed us to identify acetylated eugenol and a novel series of fourteen LCCs. These series of LCCs provide evidence that lignins are covalently linked to carbohydrates in the native wood network and act as cross-linkers between cellulose and hemicellulose components of wood.
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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) | 0.001 | 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) | 0.001 | 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".