Review on Nitrogen Transformation during Microalgae Thermochemical Liquefaction: Recent Advances and Future Perspectives
Bibliographic record
Abstract
Producing biocrude from wet biomass such as microalgae via hydrothermal liquefaction has been attracting extensive attention. However, those biocrude usually contained high nitrogen and oxygen and produced massive nitrogen oxides during downstream utilization like combustion. Because hydrothermal liquefaction is a complex and dynamic transformation process, the pathway of nitrogen during microalgae hydrothermal liquefaction has not yet been clearly described. This work critically and comprehensively reviewed the effects of detecting and analyzing method, microalgae property and operating condition on the nitrogen contents, and the types of nitrogen organic compounds of biocrude. The mechanism of nitrogen transformation in the hydrothermal liquefaction process was systematically summarized; the dominant reactions in each stage were described in detail. Moreover, the nitrogen removal methods from biocrude were proposed from two perspectives: feedstock and product, respectively. Finally, challenges and future perspectives are proposed in view of the existing research gaps.
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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) | 0.000 | 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 | 0.000 |
| 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".