2.2.6 Developing Electrochemical Impedance Immunosensor for the Detection of Myoglobin
Bibliographic record
Abstract
In the present work, electrochemical impedance immunosensor is developed for detection of myoglobin.The procedure involves the immobilization of myoglobin antibodies on the interdigitated gold electrodes (IDE) using alkanethiol self-assembled monolayer (SAM) for binding myoglobin antigens available in the blood serum/aqueous solution.Then the sensor system is characterised using alternating current (AC) electrochemical impedance spectroscopy (EIS), in which the change in impedance spectra is observed across the frequency range of 0.1 Hz to 10 MHz.This work mainly focuses on understanding and improving the impedance immunosensor for better sensitivity readings (~1 ng/mL) by adjusting the interdigitated electrode configuration, incubation times, reagent sample volumes and immobilisation protocols.Myoglobin is one of the premature indentifying cardiac protein markers to monitor minor heart attacks.Hence, the developed immunosensor has potential of using as a point-of-care diagnostic device.The protocol developed in this work can be useful for detecting other cardiac markers like Troponin and CK-MB by using respective antibodies.
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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 | 0.001 | 0.001 |
| 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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".