ReviewiScience2026
Substrate-dependent performance patterns in nanocoatings across interior materials.
Review in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Nanostructured coatings are widely used to enhance surface durability while preserving visual appearance, yet it remains unclear whether performance is primarily governed by coating chemistry or by the underlying substrate. Here, we address this question through a structured scoping review (PRISMA-ScR) of 80 eligible empirical studies spanning seven material classes relevant to interior environments. Across 311 standardized observations, we find that substrate class emerged as the strongest observed association with simultaneous functional and optical performance. Non-porous substrates (e.g., glass, glazed ceramics) achieve dual performance targets in 67-82% of cases, compared to only 11-22% for highly porous materials (e.g., wood, textiles), revealing an approximately 4-fold performance gradient. This pattern is consistent with interfacial film formation mechanisms, including capillary depletion, hygroscopic stress, and surface heterogeneity. Exploratory study-level logistic regression (
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Registered trials
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