Biological sample analysis with immunoaffinity solid-phase microextraction
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A theophylline antiserum was covalently immobilized on the surface of a fused silica fiber, modified with 3-aminopropyltriethoxysilane (APTES) and glutaraldehyde, and used as a selective and sensitive extraction medium for the immunoaffinity solid-phase microextraction (SPME) determination of theophylline in serum samples. The specificity of the immunoaffinity SPME fiber was first investigated using a fixed concentration of [3H]theophylline together with various amounts of interference, possessing no cross-reactivity with the theophylline antibody. No significant non-specific binding was observed. The reproducibility of the fiber preparation and the immunoaffinity SPME analysis was also investigated, resulting in a relative standard deviation of 6.1% for five analyses of the same fiber. The antigen-antibody binding isotherm was obtained by analyzing theophylline standards of various concentrations (0.1-5 ng mL(-1)) until saturation values were reached. Initial binding of theophylline was linear with a r2 = 0.968. The cross-reactivity of the theophylline immunoaffinity SPME fiber for the structural analog caffeine was investigated by adding various amounts of caffeine in the presence of theophylline at a saturation concentration and produced a low cross-reactivity value of 0.1%. Finally. spiked serum samples (10 and 50 ng mL(-1)) were successfully analyzed with an excellent correlation with the standard binding isotherm, thus confirming the performance of the immunoaffinity SPME coating for improved bioanalysis.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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) | 0.005 | 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 it