Editorial: Value-added bioproducts development through sustainable conversion and production routes
Bibliographic record
Abstract
Editorial on the Research Topic Value-added bioproducts development through sustainable conversion and production routesTo respond to the need for shifting from a petroleum-based economy to a bioeconomy, it is essential to search for renewable and sustainable sources to produce fuels, chemicals, and materials.Biowaste could be an abundant and alternative resource to produce a range of fuels, chemicals, and materials (Zhang et al., 2019a; Zhang et al., 2019b;Zhang et al., 2022).Biomass is deemed a luxuriant, natural, sustainable, and renewable energy source, serving as the feedstock for the sustainable transformation of value-added bioproducts (Chen et al., 2023;Jiang et al., 2023).It is of great significance to develop biomass conversion and production approaches.This Research Topic "Value-added Bioproducts Development Through Sustainable Conversion and Production Routes" explores the latest research advances in currently developing technologies, with particular attention to the underlying reaction mechanisms and kinetics, which have proven to be the most important factor in achieving process scaleup due to the wide variety of biomasses and different conversion methods.Four eminent research groups in the fields of materials chemistry and biomass resourcing gladly accepted our invitation to participate in the discussion of this Research Topic, as briefly described below:In the paper entitled "Synthesis of strong magnetic response ZIF-67 for rapid adsorption of Cu 2+ ," Lei et al. investigated the adsorption performance of Fe 3 O 4 @ZIF-67 catalyst for lowconcentration Cu 2+ .The preparation, advantages and disadvantages, reaction conditions, and unique properties of Fe 3 O 4 @ZIF-67 catalysts, such as high chemical stability, specific surface area, adsorption, and magnetic recovery were mainly introduced.Meanwhile, exploring the effect of Fe 3 O 4 @ZIF-67 prepared in different solvents on the adsorption of Cu 2+ , and its reusability were also determined.In the paper entitled "Gas-solid fluidization modification of calcium carbonate for highperformance poly (butylene adipate-co-terephthalate) (PBAT) composites," Shang et al. focused on modifying biodegradable polypropylene dioxide (PBAT) plastics by using
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.004 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.012 | 0.012 |
| Insufficient payload (model declined to judge) | 0.017 | 0.012 |
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".