Uranium and Neptunium Accumulation by the Byssus of <i>Mytilus galloprovincialis</i>
Bibliographic record
Abstract
Marine mussel byssus is recognized for its capacity to accumulate trace metals from seawater including metallic radionuclides. This study deals with uranium and neptunium, two actinides involved in the electronuclear cycle. We propose to elucidate the underlying molecular mechanisms at the origin of uranium and neptunium uptake by the byssus threads of mussel using model systems of increasing molecular complexity: PEG–DOPA (4‐arm polyethylene glycol–dihydroxyphenylalanine), purified mfp‐1 (mussel foot protein‐1), and native byssus. Ex vivo sorption isotherms display a linear adsorption behavior at environmentally relevant concentrations, reflected in high uranium concentration factors that emphasize the byssus as an efficient passive accumulator. Extended X‐ray absorption fine structure analysis showed that uranium (uranyl(VI)) coordinates through oxygen donors ligands, consistent with chelation by catechols in mfp‐1 and byssus. X‐ray absorption near edge structure (XANES) confirmed that uranyl(VI) remained unreduced in all systems. For neptunium (neptunyl(V)), UV–Vis–NIR spectra and XANES both revealed partial reduction of neptunyl(V) to Np(IV) in the presence of mfp‐1 , while PEG–DOPA induced no such reduction, suggesting the presence of redox‐active moieties in the mfp‐1 . These findings advance our understanding of uranium and neptunium accumulation in mussel byssus, highlighting the central role of mfps and their catechol‐rich domains in selective and redox‐active actinide binding.
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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) | 0.000 | 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 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".