Evidence map›Paper›PMID 37528268›Full record

ArticleAnalytical and bioanalytical chemistry2023

Effect of perylene assembly shapes on photoelectrochemical properties and ultrasensitive biosensing behaviors toward dopamine.

Kuan-Neng Chi, Jia-Wen Liu, Yan Guan, Qiu-Xia Li, Tong Yang, Rong Hu, Yun-Hui Yang

Abstract read
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In one paragraph

Article in Analytical and bioanalytical chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 26% of its field
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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 7 citations in OpenAlex.

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4 · The record

Corrections and comments

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

7 authors at 1 institution in 1 country.

Kuan-Neng Chi *College of Chemistry and Chemical Engineering, Yunnan Normal University, Kunming, Yunnan, 650500, People's Republic of China.
Jia-Wen Liu *College of Chemistry and Chemical Engineering, Yunnan Normal University, Kunming, Yunnan, 650500, People's Republic of China.
Yan GuanCollege of Chemistry and Chemical Engineering, Yunnan Normal University, Kunming, Yunnan, 650500, People's Republic of China.
Qiu-Xia LiCollege of Chemistry and Chemical Engineering, Yunnan Normal University, Kunming, Yunnan, 650500, People's Republic of China. qiuxiali03@163.com.
Tong YangCollege of Chemistry and Chemical Engineering, Yunnan Normal University, Kunming, Yunnan, 650500, People's Republic of China.
Rong HuCollege of Chemistry and Chemical Engineering, Yunnan Normal University, Kunming, Yunnan, 650500, People's Republic of China. hudierong_168@163.com.
Yun-Hui YangCollege of Chemistry and Chemical Engineering, Yunnan Normal University, Kunming, Yunnan, 650500, People's Republic of China.
Yunnan Normal University · CN

Funding

National Natural Science Foundation of China 21605130National Natural Science Foundation of China 21864026
6 · The paper itself

Abstract

In this study, a photoelectrochemical (PEC) sensor based on perylene diimide derivatives (PDIs) was developed for the ultrasensitive quantification of dopamine (DA). PDIs were able to form self-assembled semiconductor nanostructures by strong π-π stacking, suitable for photoactive substances. Moreover, the shape of the PDI significantly affected the PEC properties of these nanostructures. The results showed that amino PDI with two-dimensional (2D) wrinkled layered nanostructures exhibited superior PEC properties relative to one-dimensional (1D) nanorods and fiber-based nanostructures (methyl and carboxyl PDIs). Based on these results, a mechanism for PEC sensor action was then proposed. The presence of 2D amino-PDI resulted in accelerated charge separation and transport. Furthermore, dopamine acted as effective electron donor to cause an increase in photocurrent. The as-obtained sensor was then used to detect small molecules like DA. A blue light optimized sensor at an applied potential of 0.7 V showed a detection limit of 1.67 nM with a wide linear range of 5 nM to 10 μM. On the other hand, the sensor presented acceptable reliability in determining DA in real samples. A recovery rate between 97.99 and 101.0% was obtained. Overall, controlling the morphology of semiconductors can influence PEC performance, which is a useful finding for the future development of PEC sensors.

Indexed as

Biosensing TechniquesNanostructuresPeryleneDopamineElectrochemical TechniquesLimit of DetectionReproducibility of ResultsDopaminePeryleneDimethyl-perylene compoundsDopaminePhotoelectrochemical (PEC) sensorTwo-dimensional material

Identifiers

PMID37528268
OpenAlexW4385448361

What OpenQuestion holds

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Registered trials

None linked

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.