Spherical Gd<sub>3</sub>TaO<sub>7</sub> Particles with Phase-Stabilized Structure for Multimodal Bioimaging Application
Bibliographic record
Abstract
High Resolution Image Download MS PowerPoint Slide We report the polyol-mediated synthesis of spherical Gd 3 TaO 7 particles with controlled morphology, phase purity, and luminescence, engineered as trimodal nanoprobes for bioimaging. The method yields monodisperse particles (∼170 nm) that retain their spherical morphology even after high-temperature annealing at 800 and 1000 °C, overcoming the morphological instability and aggregation typically observed in tantalate-based systems. Structural characterization confirms the stabilization of the disordered cubic fluorite-related phase, with Eu 3+ ions acting as structural and luminescent probes. The doped particles exhibit broad-band red emission and long-lived excited states, suitable for optical detection. Notably, luminescence is significantly enhanced via postsynthetic coordination with 2-thenoyltrifluoroacetone (TTA), enabling clear intracellular visualization through confocal microscopy. In parallel, undoped Gd 3 TaO 7 particles show excellent performance as T 2 -weighted MRI contrast agents ( r 2 = 71.5 mM –1 s –1 at 7 T) and demonstrate strong X-ray attenuation for CT imaging, attributed to the presence of Gd and Ta high- Z elements. Confocal imaging confirms cellular uptake, while cytotoxicity assays in NIH-3T3 mouse fibroblasts demonstrate over 95% viability up to 1000 μg/mL, attesting to their biocompatibility. This work establishes Gd 3 TaO 7 -based nanoprobes as robust, compositionally engineered candidates for integrated MRI, CT, and optical imaging, with enhanced luminescence achievable via TTA sensitization for advanced bioimaging applications.
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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 | 0.001 |
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".