Sacrificial BSA to block non‐specific adsorption on organosilane adlayers in ultra‐high frequency acoustic wave sensing
Bibliographic record
Abstract
This follow‐up study describes the implementation of recently developed cross‐linking trichlorosilane surface chemistry with acoustic wave sensing technology for the real‐time and label‐free detection of biotin/avidin interactions. Biosensing platforms consist of unelectroded piezoelectric quartz resonator discs onto which functionalizable mixed organosilane adlayers are prepared using a new trichlorosilane cross‐linker in combination with a shorter monofunctional diluent molecule. Thiolated or aminated biotin probes can next be anchored to the mixed assembly in a single, preactivation‐free step through site‐specific coupling at pentafluorophenyl ester head moieties. Biosensing properties are assessed at ultra‐high frequency (>0.74 GHz) with the highly sensitive electromagnetic piezoelectric acoustic sensor using micromolar buffered solutions of avidin. This biosensor prototype – which generally displays good reproducibility – uses sacrificial bovine serum albumin to block non‐specific adsorption. This preliminary work in buffer constitutes an important step towards the development of real‐world biosensors able to perform with more demanding biological samples. Copyright © 2013 John Wiley & Sons, Ltd.
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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) | 0.001 | 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 | 0.001 | 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".