ArticleACS sensors2025
Coupling Organic Ultralong Lifetime Phosphorescence Materials with Paper-Based Bioanalytical Architectures for Autofluorescence-Free Sensing.
Article in ACS sensors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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
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Who cites it
4 citing papers in PubMed.
- Efficient red circularly-polarized phosphorescence from pyrene derivatives mediated by locked axial chirality scaffold.Chemical science · 2026Article
- Optical Biosensors-Principles of Operation and Applications.Micromachines · 2026Review
- Article
- Microfluidic Paper-Based Devices at the Edge of Real Samples: Fabrication Limits, Hybrid Detection, and Perspectives.Micromachines · 2026Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Minimizing autofluorescence is a crucial step for enhancing fluorescence-based bioanalytical assays. Although inorganic "glow-in-the-dark" persistent luminescence phosphors are commonly used to achieve this, they require rare earth elements and complex synthetic procedures. In this work, we introduce a suite of chemo- and biosensors that leverage the ultralong phosphorescence of pyrene-doped benzophenone, a fully organic host-guest material. By melt-casting the material onto cellulose, we created a modular sensor platform in which the emission is dependent on the variable absorption of the receptor-based sensor architectures. Three distinct sensing mechanisms were demonstrated: optode membranes were cast onto the paper scaffold to link ion-dependent color changes with the output, enabling "glow-in-the-dark" K
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Registered trials
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.