ArticleSmall science2025
Solvato/Vapochromism-Based Alcohol Sensing through Metal-Organic Framework Thin Films with Coordinatively Unsaturated Metal Sites.
Article in Small science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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.
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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.
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Authors and funding
5 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Ethanol (EtOH) is a ubiquitous compound with critical applications across various industries, necessitating accurate and reliable sensing for sanitation, quality control, and environmental monitoring. Chromism-based sensors, known for their simplicity, portability, and real-time detection capabilities, have faced limitations in EtOH sensing due to insufficient sensitivity, low selectivity, irreversibility, and low color perception. Herein, a groundbreaking solvato/vapochromism-based EtOH sensor utilizing a Cu-based metal-organic framework (MOF) thin film, Cu-MOF-74, is reported. The conversion of Cu-based ceramics to Cu-MOF-74 facilitates the fabrication of solvato/vapochromic MOF thin films with low light scattering, enabling effective colorimetric analysis. The Cu-MOF-74 thin films demonstrate rapid and reversible solvato/vapochromism upon the adsorption of guest molecules, including water and EtOH. This unique behavior allows for the precise and reliable detection of EtOH across the entire concentration range. Furthermore, a smartphone application is developed to detect EtOH concentrations, enabling rapid and convenient evaluation of EtOH levels. The findings represent a significant advancement in EtOH sensing technology, overcoming the limitations of traditional methods. The Cu-MOF-74-based sensor offers a versatile and reliable solution for various applications, including environmental monitoring, process control, and healthcare.
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