In one paragraphArticle in Biosensors, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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.
2 · The registryThe 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.
3 · Its place in the literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
9 authors.
Sankar SekarDivision of System Semiconductor, Dongguk University-Seoul, Seoul 04620, Republic of Korea.ORCID 0000-0001-9554-2328 Sejoon LeeDivision of System Semiconductor, Dongguk University-Seoul, Seoul 04620, Republic of Korea.ORCID 0000-0002-4548-7436 Sutha SadhasivamDepartment of Chemistry, CMS College of Engineering, Namakkal 637003, Tamil Nadu, India.
Kumar Sangeetha SelvanDepartment of Chemistry, VelTech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai 600062, Tamil Nadu, India.
Saravanan SekarDepartment of Mechanical Engineering, K. Ramakrishnan College of Technology, Trichy 621112, Tamil Nadu, India.
Youngmin LeeDivision of System Semiconductor, Dongguk University-Seoul, Seoul 04620, Republic of Korea.ORCID 0000-0002-8685-3033 Pugazhendi IlanchezhiyanCentre for Research and Development, Sri Manakula Vinayagar Engineering College, Madagadipet, Puducherry 605107, India.
Seung-Cheol ChangDepartment of Cogno-Mechatronics Engineering, College of Nanoscience and Nanotechnology, Pusan National University, Busan 46241, Republic of Korea.ORCID 0000-0002-2333-9424 Ramalingam ManikandanDepartment of Cogno-Mechatronics Engineering, College of Nanoscience and Nanotechnology, Pusan National University, Busan 46241, Republic of Korea.ORCID 0000-0002-1947-9715 Funding
Korean government (MSIT) RS-2021-NR060086Ministry of Education of korea RS202300249778National Research Foundation (NRF) of Korea 2021R1I1A1A01049638; RS-2023-NR076644, RS-2022-NR075805
6 · The paper itselfAbstract
We report a highly sensitive and interference-free electrochemical sensor for dopamine (DA) detection in the presence of uric acid (UA) and ascorbic acid (AA), based on an in situ deposited graphitic carbon nitride (g-C
Indexed as
Biosensing TechniquesDopamineElectrochemical TechniquesAscorbic AcidElectrodesGraphiteHumansLimit of DetectionNitrogen CompoundsThymolphthaleinUric AcidAscorbic AcidDopamineGraphitegraphitic carbon nitrideNitrogen CompoundsThymolphthaleinUric Acidbiofluids samplesdopaminegraphitic carbon nitridemethyl thymol bluescreen printed carbon electrode
Identifiers
PMID41744742
PMCPMC12937753
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