Evidence map›Paper›PMID 41228747›Full record

ArticleSensors (Basel, Switzerland)2025

Localized Surface Plasmon Resonance-Based Gas Sensor with a Metal-Organic-Framework-Modified Gold Nano-Urchin Substrate for Volatile Organic Compounds Visualization.

Cong Wang, Hao Guo, Bin Chen, Jia Yan, Fumihiro Sassa, Kenshi Hayashi

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 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.

Cong WangGraduate School of Information Science and Electrical Engineering, Kyushu University, Fukuoka 819-0395, Japan.ORCID 0009-0005-3687-2710
Hao GuoGraduate School of Information Science and Electrical Engineering, Kyushu University, Fukuoka 819-0395, Japan.
Bin ChenChongqing Key Laboratory of Non-Linear Circuit and Intelligent Information Processing, College of Electronic and Information Engineering, Southwest University, Chongqing 400715, China.
Jia YanCollege of Artificial Intelligence, Southwest University, Chongqing 400715, China.ORCID 0000-0001-8012-5097
Fumihiro SassaGraduate School of Information Science and Electrical Engineering, Kyushu University, Fukuoka 819-0395, Japan.
Kenshi HayashiGraduate School of Information Science and Electrical Engineering, Kyushu University, Fukuoka 819-0395, Japan.ORCID 0000-0001-8679-4953

Funding

China Scholarship Council 202308050018Japan Society for the Promotion of Science JP22H04952National Natural Science Foundation of China 62576294
6 · The paper itself

Abstract

Volatile organic compound (VOC) monitoring is crucial for environmental safety and health, but conventional gas sensors often suffer from poor selectivity or lack spatial information. Here, we report a localized surface plasmon resonance (LSPR) gas sensor based on Au nano-urchins coated with a zeolitic imidazolate framework (ZIF-8) for both the quantitative detection and visualization of VOCs. Substrates were fabricated by immobilizing Au nano-urchins (~90 nm) on 3-aminopropyltriethoxysilane-modified glass and subsequently growing ZIF-8 crystals (~250 nm) for different durations. Scanning electron microscopy and optical analysis revealed that 90 min of ZIF-8 growth provided the optimal coverage and strongest plasmonic response. Using a spectrometer-based LSPR system, the optimized substrate exhibited clear, concentration-dependent responses to three representative VOCs, 2-pentanone, acetic acid, and ethyl acetate, over nine concentrations, with detection limits of 12.7, 14.5, and 36.3 ppm, respectively. Furthermore, a camera-based LSPR visualization platform enabled real-time imaging of gas plumes and evaporation-driven diffusion, with differential pseudo-color mapping providing intuitive spatial distributions and concentration dependence. These results demonstrate that ZIF-8-modified Au nano-urchin substrates enable sensitive and reproducible VOC detection and, importantly, transform plasmonic sensing into a visual modality, offering new opportunities for integrated LSPR-surface-enhanced Raman scattering dual-mode gas sensing in the future.

Indexed as

Au nano-urchinsgas visualizationlocalized surface plasmon resonancevolatile organic compoundsZIF-8

Identifiers

PMID41228747
PMCPMC12609884

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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.