Mild Fractionation of Biomass into Three Binary-Component Fractions
Bibliographic record
Abstract
The effective fractionation technology route is a crucial aspect for the full valorization of lignocellulose. The current fractionation technologies primarily focus on single-component fractionation of lignocellulose, with the technical dilemma between each component conversion availability and overall product yields, especially under harsh fractionation conditions. This work proposed the mild fractionation process of a mechanochemistry-assisted choline hydroxide-ethylene glycol alkaline deep eutectic solvent (Ch-Ely DES) to fractionate straw biomass, with the goal of higher-value binary-component fractions pursuing, i.e., holocellulose, lignin-carbohydrate complexes (LCC), and arabinoxylan (AX). Through the synergistic effect of mechanochemical deconstruction and alkaline deep eutectic solvent swelling, 93% holocellulose recovery, corresponding to a 53.2/100 Ar β-O-4 bond content in the LCC fraction, was achieved. The resulting holocellulose hydrolysis values at a 5 wt % solid loading were 96 and 55% for glucose and xylose respectively. The mild fractionation process could yield fractions with well-preserved structures by selective hydrogen bond network interaction and lignin-carbohydrate complex covalent bond preservation. The proposed binary-component fractionation route is promising to diversify current fractionation technologies and product streams.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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".