Biotinylation of TiO<sub>2</sub> Nanoparticles and Their Conjugation with Streptavidin
Bibliographic record
Abstract
Photoactive TiO(2) can be used to mediate a variety of disinfection processes. It was postulated that TiO(2) particles could be directed to specific targets of interest using biotin/streptavidin linkages. Biotinylated TiO(2) nanoparticles (anatase) were obtained by treating TiO(2) nanoparticles with 3-aminopropyltriethoxysilane (APTS) in anhydrous DMSO, followed by reaction with N-hydroxysuccinimidobiotin. 29Si CP-MAS NMR, 13C CP-MAS NMR, and FTIR spectra showed that biotin was covalently bound to the TiO(2) surface. Transmission electron microscopy (TEM) demonstrated that prolonging the silanization reaction times led to increasingly thick silsesquioxane coating layers of up to approximately 10 nm. The specific surface area (SSA) of the TiO2 particles decreased from 16 m(2) g(-1) before treatment to 9.1 m(2) g(-1) after aminosilanization and to 8.4 m(2) g(-)1 after biotinylation, as measured by nitrogen adsorption. Amino surfaces modified for 4, 16, and 26 h had total amino group densities ranging from 2.9 to 26 to 66 nm(-2), respectively, whereas accessible surface amino group densities ranged from 2.7 to 10 to 17 nm(-2) as shown from nitrogen adsorption, polyelectrolyte titration, conductometric titration, and biotin assays. Not all the amino groups were accessible for biotinylation: the densities of active biotin were found to be 2.1, 7.0, and 11.5 nm(-2). The ability of the attached biotin to bind to streptavidin was demonstrated by confocal microscopy with the use of fluorescently labeled streptavidin-FITC. Although streptavidin was readily able to bind to biotinylated TiO(2) particles, it did not act as a strong flocculating agent for the biotinylated TiO2 particles. The implications of these observations, with respect to particle accessibility to tethered streptavidin, are discussed.
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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 | 0.000 |
| 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 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".