ArticleMikrochimica acta2022
2D disposable stochastic sensors for molecular recognition and quantification of maspin in biological samples.
Article in Mikrochimica acta, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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.
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Who cites it
5 citing papers in PubMed, 11 citations in OpenAlex.
- Minimally Invasive and Fast Diagnosis of Gastric Cancer Based on Maspin Levels in Different Biological Samples.Diagnostics (Basel, Switzerland) · 2023Article
- Correlation between Maspin Levels in Different Biological Samples and Pathologic Features in Colorectal Adenocarcinomas.Life (Basel, Switzerland) · 2023Article
- MXene-enhanced ePatch with antibacterial activity for wound healing.Frontiers in chemistry · 2023Article
- Article
- The most effective but largely ignored target for prostate cancer early detection and intervention.Journal of Cancer · 2022Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
Three disposable stochastic sensors using nanolayer deposition of a graphene nanocomposite comprising graphene nanoparticles and gold nanoparticles, on different supports: silk, plastic, and paper, and modified with chitosan, were characterized and validated for molecular recognition and quantification of maspin in biological samples. Very low limits of determination (of pg mL
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What OpenQuestion holds
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.