Editorial: Biosurfactants: New Insights in Their Biosynthesis, Production and Applications
Bibliographic record
Abstract
The surface-active properties of all the chemically diverse molecules that are defined as surfactants are essential for a wide variety of industrial applications, such as soaps and detergents, food products, cosmetics, agriculture, oil recovery and bioremediation. A small share of the surfactant market is comprised of biosurfactants (surfactants produced by different organisms, but we will focus on those produced by microorganisms), even though they have clear advantages over chemically synthesized surfactants in terms of their biodegradability, low toxicity and sustainability. This is mainly due to the lower production cost of chemically-produced surfactants and to important technical challenges in the large-scale production of biosurfactants, such as foaming during the fermentation process that are difficult to manage and cause biomass loss from the bioreactor. The aim of this Research Topic "Biosurfactants: New Insights in Their Synthesis, Production and Applications" is to present an overview of different perspective and the latest research innovations coming from diverse scientific disciplines that address these fascinating molecules through a multidisciplinary approach. Thus, it comprises different approaches on the synthesis (including metabolic engineering strategies), production (fermentation and downstream processing) and applications of several types of biosurfactants. This Research Topic includes 2 in-depth reviews, 4 minireviews and 15 original research articles, presenting a wide panorama of the state-of-the-art in the rapidly growing field of biosurfactants research.
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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| 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".