Visible‐Light‐Driven Lignin Valorization into Value‐Added Chemicals and Sustainable Hydrogen Using Zn<sub>1‐<i>x</i></sub>Cd<sub><i>x</i></sub>S Solid Solutions as Photocatalyst
Bibliographic record
Abstract
Abstract Biomass photorefinery for simultaneous production of value‐added chemicals and sustainable hydrogen holds promising perspective to achieve a negative carbon economy. However, insight into lignin valorization by the photorefinery approach is still lacking due to the extremely complex structure and component. In this work, we design a series of Zn 1‐ x Cd x S solid solutions as photocatalyst to reveal the photocatalytic mechanism for model component conversion. Bandgap engineering by changing the Zn/Cd ratio is proven to efficiently regulate the reaction pathway. Specifically, Zn 0.75 Cd 0.25 S (ZCS25) presented the best performance for hydrogen evolution (610±105 μmol h −1 g cat. −1 ) while Zn 0.5 Cd 0.5 S (ZCS50) demonstrated the best substrate conversion to monophenolic compounds. Besides, the well‐designed Zn 1‐x Cd x S solid solutions also show the ability to produce hydrogen and eliminate a methoxy group from real lignin by the photorefinery approach. This present work demonstrates a good example of biomass valorization by careful design of photocatalysts.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".