4.6 Article

High-Precision Colorimetric Sensing by Dynamic Tracking of Solvent Diffusion in Hollow-Sphere Photonic Crystals

Journal

RESEARCH
Volume 2022, Issue -, Pages -

Publisher

AMER ASSOC ADVANCEMENT SCIENCE
DOI: 10.34133/2022/9813537

Keywords

-

Funding

  1. US National Science Foundation [DMR-1810485]
  2. National Natural Science Foundation of China [21972046]

Ask authors/readers for more resources

In this study, a photonic crystal sensor based on self-assembled hollow spheres was fabricated for colorimetric sensing of polar solvents. The sensor showed superior selectivity and sensitivity, making it a convenient tool for solvent detection and identification.
Expensive instruments and complicated data processing are often required to discriminate solvents with similar structures and properties. Colorimetric sensors with high selectivity, low cost, and good portability are highly desirable to simplify such detection tasks. Herein, we report the fabrication of a photonic crystal sensor based on the self-assembled resorcinol formaldehyde (RF) hollow spheres to realize colorimetric sensing of polar solvents, including homologs and isomers based on the saturated diffusion time. The diffusion of solvent molecules through the photonic crystal film exhibits a unique three-step diffusion profile accompanied by a dynamic color change, as determined by the physicochemical properties of the solvent molecules and their interactions with the polymer shells, making it possible to accurately identify the solvent type based on the dynamic reflection spectra or visual perception. With its superior selectivity and sensitivity, this single-component colorimetric sensor represents a straightforward tool for convenient solvent detection and identification.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available