Structural Elucidation of Lignosulfonate–Cellulase Complexes: Formation, Composition, and Spatial Reconstruction
Bibliographic record
Abstract
Lignosulfonate (LS) can enhance lignocellulose saccharification by forming complexes with cellulase. However, the composition and spatial structure of lignosulfonate-cellulase complexes (LCCs) are not clear. This study employed quartz crystal microbalance with dissipation monitoring, surface plasmon resonance, and small-angle X-ray scattering (SAXS) to investigate the composition and spatial arrangement of LCCs. Results revealed that LS molecules self-assemble into aggregates in buffer (pH 4.8), which subsequently form distinct complexes with cellulase depending on the molar ratio. At LS:cellulase ratios of 4:1 or higher, one LS aggregate binds to a single cellulase molecule, while at lower ratios, one LS aggregate binds to multiple cellulase molecules. SAXS analysis revealed that cellulase's adsorption domain interacts with LS aggregates, suggesting a mechanism to reduce nonproductive binding to lignin. Ionic strength was found to influence the complex formation through electrostatic interactions. These findings elucidate the structural basis for LS-mediated saccharification, providing insights for optimizing lignocellulosic biomass conversion.
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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 | 0.000 |
| 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".