Proteinaceous Nano container Encapsulate Polycyclic Aromatic Hydrocarbons
Bibliographic record
Abstract
Polycyclic aromatic hydrocarbons (PAHs) are toxic, mutagenic and among the most damaging chemical compounds with regard to living organisms. Because of their persistence and wide distribution removal from the environment is an important challenge. Here we report a new Nano container matrix based on the deep sea archaea-derived RHCC-Nanotube (RHCC-NT), which rapidly and preferentially binds low molecular weight PAHs. Under controlled-laboratory conditions and using fluorescence spectroscopy in combination with X-ray crystallography and MD simulations, we quantified the real-time binding of low molecular weight PAHs (2-4 rings) to our substrate. Binding coefficients ranged from 5.4 ± 1.6 (fluorene) to 32 ± 7.0 μM (acenaphthylene) and a binding capacity of 85 pmoles PAH per mg RHCC-NT, or 2.12 μmoles in a standard 25 mg sampler. The uptake rate of pyrene was calculated to be 1.59 nmol/hr∙mol RHCC-NT (at 10 C). Our results clearly show that RHCC-NT is uniquely suited as a monitoring matrix for low molecular weight PAHs.
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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 | 0.000 |
| 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".