Study of Pretreatment and Enzymatic Hydrolysis on Microcrystalline Cellulose and HVS A4 Paper in Pressurized CO2 Media
Bibliographic record
Abstract
The aim of this work is to investigate the potential used of pressurized CO2 in the pre-treatment and the enzymatic hydrolysis of waste HVS A4 paperto produce a monomeric sugars (C5 and C6 sugars) which is a precursor for bioethanol production. Prior to the utilization of waste HVS A4 paper, the microcrystalline cellulose and HVS A4 paper were first used in the experiments as model compound in order to gain better insights of the process. The experiment consists of two main parts which are the preliminary experimentsto determine the best pretreatment conditionsbetween two selected pressure values (80 and 100 bar) at a fixed temperature (T = 75 oC) and the enzymatic hydrolysis experiments. In the latter, the microcrystalline and HVS A4 paper were hydrolyzed at different pressures (100 bar, 125 bar, and 150 bar) and at different cellulase intakes (1% (v/v), 3% (v/v), and 5% (v/v)) with a fixed temperature (50°C). The hydrolyzed products were analyzed with a High Performance Liquid Chromatography (HPLC) to quantify the monomeric sugars and to determine the presence of the side products (furfural, HMF and levulinic acid). Within the experimental range, a maximum glucose concentration of 7602.35 ppm and 4560.79 ppm are obtained for microcrystalline and HVS A4 paper, respectively. In addition, there are no furfural, HMF and levulinic acid detected in the products This study shows a potential used of pressurized CO2 in the pretreatment and enzymatic hydrolysis of the model compound and gives a better insight for further application.
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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 | 0.001 |
| 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".