Highly Selective Conversion of Furfural to Furfural Alcohol or Levulinate Ester in One Pot over ZrO<sub>2</sub>@SBA-15 and Its Kinetic Behavior
Why this work is in the frame
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Bibliographic record
Abstract
Biorefinery for the purpose of producing biofuels, chemicals, and materials has received much attention. Furfural alcohol (FOL) and levulinate ester (LE) are important biomass-derived platform chemicals, and they are produced from sugar-based furfural (FAL). Unfortunately, the two products are often obtained separately in different reaction systems, which is undesirable; furthermore, it is of significant practical interest to control their selectivity so that the desired product can be accumulated in high yields. Herein, we present an efficient method for the highly selective conversion of FAL to FOL or isopropyl levulinate (IPL) in a one pot system using isopropanol as the hydrogen source and ZrO 2 @SBA-15 as a bifunctional catalyst with both Lewis acid and Brønsted acid sites. Under optimized reaction conditions, high yields of FOL and IPL in up to 90.4% and 87.2%, respectively, were obtained. Based on the experimental results, a kinetic model describing the catalytic conversion of FAL into FOL and IPL process has been established, which has a good correlation ( R 2 > 0.92) between the measured and predicted data. The developed kinetics can provide an effective tool to monitor the process and tailor the process conditions to obtain the desired product.
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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 it