Evidence map›Paper›PMID 41924112›Full record

ArticleRSC advances2026

Smartphone-integrated sensing platform based on a "one-stone-three-birds" strategy for real-time quantitative detection of Ag(i) ions.

Lihua Zhang, Jiang Li, Tengyan Gao, Wei Liu, Zirui Zhang, Zezhong Chen, Feng Feng

Abstract read
In one paragraph

Article in RSC advances, 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
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

7 authors.

Lihua ZhangShanxi Provincial Key Laboratory of Chemical Biosensing, School of Chemistry and Chemical Engineering, Shanxi Datong University Datong 037009 China lihuazhang888@163.com feng-feng64@263.net.ORCID https://orcid.org/0000-0002-6589-3693
Jiang LiShanxi Provincial Key Laboratory of Chemical Biosensing, School of Chemistry and Chemical Engineering, Shanxi Datong University Datong 037009 China lihuazhang888@163.com feng-feng64@263.net.ORCID https://orcid.org/0000-0003-1928-6523
Tengyan GaoShanxi Provincial Key Laboratory of Chemical Biosensing, School of Chemistry and Chemical Engineering, Shanxi Datong University Datong 037009 China lihuazhang888@163.com feng-feng64@263.net.
Wei LiuShanxi Provincial Key Laboratory of Chemical Biosensing, School of Chemistry and Chemical Engineering, Shanxi Datong University Datong 037009 China lihuazhang888@163.com feng-feng64@263.net.
Zirui ZhangShanxi Provincial Key Laboratory of Chemical Biosensing, School of Chemistry and Chemical Engineering, Shanxi Datong University Datong 037009 China lihuazhang888@163.com feng-feng64@263.net.
Zezhong ChenShanxi Provincial Key Laboratory of Chemical Biosensing, School of Chemistry and Chemical Engineering, Shanxi Datong University Datong 037009 China lihuazhang888@163.com feng-feng64@263.net.
Feng FengShanxi Provincial Key Laboratory of Chemical Biosensing, School of Chemistry and Chemical Engineering, Shanxi Datong University Datong 037009 China lihuazhang888@163.com feng-feng64@263.net.ORCID https://orcid.org/0000-0002-0063-2724

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heavy metal ion contamination poses a serious threat to human health and ecological balance, emphasizing the need for sensitive detection methods to maintain water quality and safeguard public safety. To meet this challenge, an integrated quantitative detection platform based on smartphone image capture and a built-in RGB color analysis app, following a "one-stone-three-birds" strategy, was developed. It allows for rapid, sensitive, and on-site detection of silver ions (Ag(i)) in actual water samples. In the presence of Ag(i) ions, the aggregation of AuNPs with ammonium thioglycolate (ATG), which acts as a multifunctional agent (an aggregation inducer, charge modulator, and recognition unit), is inhibited, resulting in a notable hypsochromic shift in the surface plasmon resonance (SPR) spectrum of AuNPs and a color change from gray-blue to pink-red, depending on the target level. Quantitative analysis is performed by measuring the color signal intensity of AuNPs after adding Ag(i) ions with a smartphone equipped with an RGB color detector. The detection mechanism was verified further through transmission electron microscopy (TEM), dynamic light scattering (DLS), and UV-Vis spectrophotometry (UV-Vis). The smartphone-integrated detection method exhibited a linear range of 0.1 to 8 µM and a detection limit of 10.4 nM. Results from this platform, paired with a smartphone, were validated against data from atomic absorption spectrometry (AAS). This smartphone-based detection approach offers the benefits of simplicity, speed, and low cost, making it suitable for environmental monitoring of Ag(i) ions.

Identifiers

PMID41924112
PMCPMC13037588

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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.