An eco-friendly approach for the recovery of astaxanthin and β-carotene from Phaffia rhodozyma biomass using bio-based solvents
Bibliographic record
Abstract
There is a growing demand in the development of environmentally friendly technologies, based on the use of more biocompatible solvents for the recovery of natural bioactive compounds. In this work, the red yeast Phaffia rhodozyma biomass was used as a source of carotenoids to develop an integrative and efficient platform that promotes the recovery of astaxanthin and β-carotene using bio-based solvents (BioSs). The extraction aptitude of pure BioSs was evaluated and compared with the conventional organic method. At this point, the influence of the BioSs molecular structures involved in the extraction procedures were also investigated. Overall, envisaging the industrial application of the process, an integrative platform was proposed for the recovery of astaxanthin/β-carotene from P. rhodozyma biomass and the recycle of the BioSs. The life cycle assessment of the proposed technology using EtOH was evaluated, validating the sustainability of BioSs in the process with environmental impact reduction of 3-12%.
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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) | 0.000 | 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 | 0.001 |
| 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".