Anti‐Fouling Polymer or Peptide‐Modified Electrochemical Biosensors for Improved Biosensing in Complex Media
Bibliographic record
Abstract
Abstract Electrochemical biosensing represents a highly effective technology for detecting disease biomarkers given its high sensitivity, low and clinically relevant limit of detection, and cost effectiveness. However, in complex media such as urine, blood, sweat or saliva, biosensing performance can be significantly impacted by electrode biofouling by proteins, cells, lipids, and other matrix components. Such biofouling leads to reduced signal from the target analyte coupled with an elevated background signal, resulting in poor signal‐to‐noise ratios (SNRs), reduced sensitivity, and lower specificity. This comprehensive review describes the design of anti‐fouling polymers and peptides as a potential solution to prevent or suppress electrochemical biosensor fouling. Various anti‐fouling polymers and peptides developed for improved biosensing in complex media are summarized in the context of their mechanism(s) of anti‐fouling, methods of deposition, and practical applications. Recent advances and persistent challenges in the field are also reviewed to provide perspectives on new directions toward enhancing anti‐fouling in electrochemical biosensors.
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.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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".