ArticleAnalytical chemistry2026
Automatic Blood Protein Enrichment by Magnetic-COF Polymers.
Article in Analytical chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Blood proteome is a highly informative biological fluid, reflecting physiological and pathological states across the entire body. It contains thousands of proteins spanning a dynamic range of more than 10 orders of magnitude. This makes blood proteome an ideal matrix for disease diagnosis, prognosis, therapeutic selection, and monitoring. However, comprehensive and reproducible analysis of blood proteins remains technically challenging, primarily due to the overwhelming presence of high-abundance proteins that obscure low-abundance targets. Blood proteome analysis offers several advantages over tissue-based diagnostics: it enables real time, longitudinal sampling, captures systemic physiological or pathological changes, and provides access to tissue-derived proteins. Automation offers consistent handling, reduced human error, and better reproducibility, which are essential for translating proteomics into routine biomedical workflows. We designed this platform to integrate Magnetic-COF-based protein capture with scalable robotic handling, enabling blood protein enrichment and LC-MS/MS analysis, resulting in more than 4000 plasma proteins identified with a throughput of 30 samples per day. By combining molecular selectivity, magnetic enrichment, and automation, our strategy addresses key limitations in current blood proteomics workflows and offers a flexible foundation for the research and discovery of proteomics from pancreatic ductal adenocarcinoma patients.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.