Evidence map›Paper›PMID 40084302›Full record

ArticleRSC advances2025

Non-enzymatic dopamine detection using iron doped ZIF-8-based electrochemical sensor.

Nugraha, Nurul Hanifah, Atqiya Muslihati, Muhammad Fadlan Raihan, Ni Luh Wulan Septiani, Brian Yuliarto

Abstract read
In one paragraph

Article in RSC advances, 2025. 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
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

NugrahaAdvanced Functional Materials Laboratory, Faculty of Industrial Technology, Institut Teknologi Bandung Bandung 40132 Indonesia nugraha@itb.ac.id.
Nurul HanifahAdvanced Functional Materials Laboratory, Faculty of Industrial Technology, Institut Teknologi Bandung Bandung 40132 Indonesia nugraha@itb.ac.id.
Atqiya MuslihatiAdvanced Functional Materials Laboratory, Faculty of Industrial Technology, Institut Teknologi Bandung Bandung 40132 Indonesia nugraha@itb.ac.id.
Muhammad Fadlan RaihanAdvanced Functional Materials Laboratory, Faculty of Industrial Technology, Institut Teknologi Bandung Bandung 40132 Indonesia nugraha@itb.ac.id.
Ni Luh Wulan SeptianiResearch Center for Electronics, National Research and Innovation Agency (BRIN) Bandung 40135 Indonesia nilu010@brin.go.id.ORCID https://orcid.org/0000-0001-7960-7312
Brian YuliartoAdvanced Functional Materials Laboratory, Faculty of Industrial Technology, Institut Teknologi Bandung Bandung 40132 Indonesia nugraha@itb.ac.id.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dopamine plays a vital function in the central nervous, cardiovascular, and endocrine systems. The precise identification of dopamine is essential for the diagnosis and treatment of different disorders. Electrochemical approaches provide a hopeful substitute for intricate methods such as HPLC and mass spectroscopy. However, the presence of other interference from other substances is a challenge. Modifying the electrode surface or using Zeolitic Imidazolate Framework 8 (ZIF-8) coated with iron can enhance sensitivity and selectivity. Iron-modified ZIF-8 (Fe-ZIF-8) has shown excellent catalytic activity. This study proposes the development of Fe-ZIF-8 for dopamine detection using electrochemical methods. Fe-ZIF-8 displayed sensitive and selective performance, surpassing interfering compounds. A successful synthesis of Fe-ZIF-8 composites with varying iron ratios was achieved, with Fe5-ZIF-8 exhibiting the highest oxidation and reduction peaks. The performance of the Fe5-ZIF-8/GCE sensor was evaluated, demonstrating superior sensing performance in linear range of 0.05-20 μM. The limit of detection (LOD) was determined as 0.035 μM, falling within the concentration of dopamine in human serum. The sensor also exhibited selectivity towards interfering substances, including uric acid, ascorbic acid, and urea. These findings highlight the successful synthesis and promising performance of Fe5-ZIF-8 as a selective sensor material.

Identifiers

PMID40084302
PMCPMC11904881

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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.