Real-Time QCM-D Immunoassay through Oriented Antibody Immobilization Using Cross-Linked Hydrogel Biointerfaces
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
This report presents the development of pre-cross-linked and in situ cross-linked polyethyleneimine-carboxymethylcellulose antibody immobilization platforms for real-time QCM-D immunoassay of sepsis-related biomarkers. These platforms differ significantly from recent trends in QCM-based assays, a rapidly expanding field given the affordability and sensitivity of the transduction system, by providing ultrafast biointerface deposition through cross-linking of polysaccharides. Using rhIL-1ra (17 kDa), a known sepsis biomarker, for development, various immunoassay modifications to increase sensitivity were investigated, including the use of Protein A, Protein G, and anti-IgG Fc specific antibody capture ligands for oriented antibody immobilization, higher-frequency QCM-D crystals, and amplification using secondary antibodies. The optimized assay employs Protein A oriented immobilization on pre-cross-linked polymer and secondary antibodies to achieve a detection limit of 25 ng/mL on 5 MHz crystals. Assay repeatability using the optimized chemistry is robust, with no loss in 100 ng/mL antigen detection over 20 cycles of the 10 min sandwich assay. Nonspecific adsorption of human serum albumin, as characterized by ToF-SIMS, is minimal and negligible for the pre-cross-linked and in situ cross-linked compositions, respectively.
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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 it