Editorial: Biotechnology and Bioengineering Applications for Egg-Derived Biomaterials
Bibliographic record
Abstract
The world generates around 71 million metric tons of table eggs annually About 30% of shell eggs are directed to breaker processing plants that create high quantities of eggshell (ES) and eggshell membrane (ESM) waste The ES is constituted mainly of CaCO 3 arranged as a calcite crystal The ESM holds the internal egg content and plays a crucial role in the assembly of ES by providing the structural support upon which biomineralization takes place In combination with ESM, ES contains around 1,000 proteins with diverse functionalities and is considered a promising biomaterial Numerous studies have been conducted to exploit ES waste for value-added applications The unique characteristics and abundance of ES and ESM make them promising biomaterials for various biotechnological applications The objective of this research topic "Biotechnology and Bioengineering Applications for Egg-Derived Biomaterials" within the scope of the section "Biomaterials" featured by the open-access journal "Frontiers in Bioengineering and Biotechnology" was to provide insight into the new technologies exploring the under-valued ES and the associated ESM. The research topic has a relatively broad theme to highlight the different applications of ES and ESM.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.004 | 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".