ArticleScientific reports2025
Efficient detection of gastric cancer biomarkers on functionalized carbon nanoribbons using DFT analysis.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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.
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4 authors.
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Abstract
Early diagnosis of gastric cancer (GC) is crucially important to initiate a therapy plan aiming at rescue and cure. In this regard, the detection of volatile organic compounds (VOCs), related to GC in the patient's exhaled breath, is known to be an efficient and cost-effective technique for early diagnosis. The scope of the present study is to develop a nano-biosensor with great sensitivity and suitable selectivity towards specific VOCs related to GC, such as 2-pentanone, butanone, isoprene, methylglyoxal, N-decanal, N-pentanal, and pyridine. We employed van der Waals corrected density functional theory (DFT) to study the adsorption properties of the mentioned VOCs along with interfering air molecules (N
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