Article in Molecules (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it
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 registry
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.
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what money
Authors and funding
11 authors.
Qirong TianSchool of Chemistry and Chemical Engineering, Liaocheng University, Liaocheng 252059, China.
Xinyang SunSchool of Chemistry and Chemical Engineering, Liaocheng University, Liaocheng 252059, China.
Chuan LiSchool of Chemistry and Chemical Engineering, Liaocheng University, Liaocheng 252059, China.
Lei ShangSchool of Chemistry and Chemical Engineering, Liaocheng University, Liaocheng 252059, China.
Rongna MaSchool of Chemistry and Chemical Engineering, Liaocheng University, Liaocheng 252059, China.
Xiaojian LiSchool of Chemistry and Chemical Engineering, Liaocheng University, Liaocheng 252059, China.
Liping JiaSchool of Chemistry and Chemical Engineering, Liaocheng University, Liaocheng 252059, China.
Shuijian HeCo-Innovation Center of Efficient Processing and Utilization of Forest Resources, International Innovation Center for Forest Chemicals and Materials, College of Materials Science and Engineering, Nanjing Forestry University, Nanjing 210037, China.ORCID 0000-0003-4172-4999
Qian ZhangCo-Innovation Center of Efficient Processing and Utilization of Forest Resources, International Innovation Center for Forest Chemicals and Materials, College of Science, Nanjing Forestry University, Nanjing 210037, China.ORCID 0000-0003-4692-4789
Wei ZhangSchool of Chemistry and Chemical Engineering, Liaocheng University, Liaocheng 252059, China.ORCID 0000-0001-8392-2139
Huaisheng WangSchool of Chemistry and Chemical Engineering, Liaocheng University, Liaocheng 252059, China.
Funding
National Natural Science Foundation of China 21804063Natural Science Foundation of Shandong Province ZR2017BB084Natural Science Foundation of Shandong Province ZR2021QB080
6 · The paper itself
Abstract
Dopamine (DA) is an important catecholamine neurotransmitter and its abnormal concentration is closely related to diseases such as hypertension, Parkinson's disease and schizophrenia. Due to the advantages of high sensitivity and fast response for electrochemiluminescence (ECL), developing ECL sensors for detecting DA was very critical in clinical diagnosis. ECL resonance energy transfer (ECL-RET) was an effective signaling mechanism. However, the shortage of highly efficient ECL-RET pairs impeded the development of DA sensors. Herein, methyl-modified perylene diimide derivative (PDI-CH
Indexed as
Biosensing TechniquesCopperDopamineElectrochemical TechniquesImidesLuminescent MeasurementsNanostructuresPeryleneHumansLimit of DetectionNanocompositesCoppercupric oxideDopamineImidesPeryleneperylenediimideCuOdopamine sensorelectrochemiluminescence resonance energy transferperylene diimide derivativeself-assembly
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.
Novel Electrochemiluminescence Sensor for Dopamine Detection Based on Perylene Diimide/CuO Nanomaterials. · full record | OpenQuestion