Evidence map›Paper›PMID 42246279›Full record

ReviewSmall (Weinheim an der Bergstrasse, Germany)2026

Stimuli-Responsive Intelligent Coatings With Nano/Microcarriers for Early Corrosion Sensing: Advances and Challenges.

Jinsong Wang, Farzad Seidi, Yuqian Liu, Yang Huang, Huining Xiao

Abstract readReview
In one paragraph

Review in Small (Weinheim an der Bergstrasse, Germany), 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

5 authors.

Jinsong WangJiangsu Co-Innovation Center of Efficient Processing and Utilization of Forest Resources and International Innovation Center for Forest Chemicals and Materials, Nanjing Forestry University, Nanjing, China.
Farzad SeidiJiangsu Co-Innovation Center of Efficient Processing and Utilization of Forest Resources and International Innovation Center for Forest Chemicals and Materials, Nanjing Forestry University, Nanjing, China.ORCID https://orcid.org/0000-0001-5510-9554
Yuqian LiuJiangsu Co-Innovation Center of Efficient Processing and Utilization of Forest Resources and International Innovation Center for Forest Chemicals and Materials, Nanjing Forestry University, Nanjing, China.ORCID https://orcid.org/0000-0001-6210-1147
Yang HuangJiangsu Co-Innovation Center of Efficient Processing and Utilization of Forest Resources and International Innovation Center for Forest Chemicals and Materials, Nanjing Forestry University, Nanjing, China.
Huining XiaoDepartment of Chemical Engineering, University of New Brunswick, Fredericton, New Brunswick, Canada.ORCID https://orcid.org/0000-0003-3500-2308

Funding

Nanjing Forestry UniversityNational Natural Science Foundation of China 31730106 31770623Postgraduate Research & Practice Innovation Program of Jiangsu Province 163105813Postgraduate Research & Practice Innovation Program of Jiangsu Province KYCX25_1488Provincial Key Lab of Pulp and Paper Science and Technology and Joint International Research Lab of Lignocellulosic Functional Materials
6 · The paper itself

Abstract

The critical threat of metal corrosion to infrastructure highlights the importance of detecting corrosion in its early stages to reduce economic impacts and safety risks. The main corrosion-sensing approaches are based on optical systems including pH indicators, metal-ligand complexation, fluorescent probes, and chromogenic agents. Corrosion causes local changes in pH and metal ion concentrations that enable these sensors to provide a clear alarm triggered by these alterations. Furthermore, emerging microcracks within the coating can initiate corrosion due to the unveiling of the metal surface; therefore, incorporation of pigments into the coatings can help the quick detection of damage and cracks by color change. However, direct incorporation of these sensors into the coating system can cause false alarms due to unintended leakage from the coating matrix. Therefore, their encapsulation inside nano/microstructures can prevent false alarms, increase the lifetime of the sensing system, and increase the mechanical strength of the coating. This review focuses on the advances in corrosion-sensing coatings reported mainly over the past five years, with particular emphasis on the encapsulation of different sensing compounds inside diverse nano/microstructures and their use as corrosion sensors after embedding into coating matrices. The advantages and limitations of each sensing strategy are discussed in detail.

Indexed as

coatingcorrosionmetalnano/microstructuressensingstimuli‐responsive

Identifiers

PMID42246279
PMCPMC13325702

What OpenQuestion holds

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Read underepoch 390

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.