Methodologies of meat analogue production and nutritional perspectives: A review
Bibliographic record
Abstract
With increasing global population and environmental concerns, the development of meat analogues, including plant-based proteins and cultivated meat, has become a solution for elevating global protein production and addressing sustainability issues. North America and Europe lead the meat analogue market, driven by elevated consumer awareness of health and environmental concerns. Under the influence of western diet, the Asian market is also poised for growth. While cultivated meat industry remains immature, advancements in production and cost reductions are expected to boost its market share over time. Although research on meat analogue methodology has increased in recent years, reviews that combine production methodologies and nutritional perspectives remain uncommon. This review comprehensively analyses the production methods, nutritional values, and market prospects of meat analogues. Meat analogue production has great potential in reducing water consumption, promoting sustainability, and improving animal welfare. Meat analogue provides high protein content and balanced amino acid profile, though certain micronutrient deficiencies due to production processes. This review outlines directions for further research in meat analogue production, emphasizing the importance of enhancing production efficiency and nutritional fortification to address food insecurity and environmental damage.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.010 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".