Stable Hydrogen‐Bonded Cobalt‐porphyrin Framework for High‐Performance Electrochemical Detection of Carcinoembryonic Antigen
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
ABSTRACT The accurate and sensitive detection of low‐abundance cancer‐related biomarkers in blood remains a key technical challenge in clinical applications. Herein, a simple and accurate sandwich‐type electrochemical immunosensor based on a stable hydrogen‐bonded cobalt‐porphyrin framework (Co‐HOF) was successfully developed for the ultrasensitive detection of the cancer‐related biomarker, carcinoembryonic antigen (CEA). The antibody‐modified Co‐HOF forms a sandwich structure with the CEA aptamer electrode exclusively in the presence of CEA, enabling the specific electrochemical detection of CEA. The electrochemical signal increased linearly with the concentration of CEA, demonstrating a wide linear range (0.001–50 ng mL −1 ) and a low detection limit (0.22 pg mL −1 ), surpassing the performance of commercial ELISA kits and most reported detection methods. The sensor was successfully employed for CEA detection in spiked human serum, with recoveries ranging from 85.04% to 105.20%. Additionally, we collected blood samples from colorectal cancer patients and healthy individuals to clinically validate the sensor, observing that CEA levels increased with cancer progression. The sensor detection results showed strong consistency ( R 2 = 0.995) with those obtained from commercial ELISA kits, demonstrating the proposed sensor's practicality for clinical detection of CEA and related cancer biomarkers.
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 | 0.000 |
| 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