Chemical recognition using metal-organic framework-based luminescence materials
Year: 2025
Type: article
Abstract: Nowadays, the invention of new substances has led to significant environmental pollution and chemical misuse, posing serious threats to both environmental health and human well-being. Human activities and industrial processes have accelerated the release of pollutants into the air, water, and soil, adversely impacting ecosystems, climate, and public health. Addressing these issues necessitates the instant and efficient recognition of pollutants and chemicals. Chemical recognition is crucial across various scientific fields, involving the selective identification and binding of specific molecules from complex mixtures. This process is essential in both natural processes and technological applications and is facilitated by artificial receptors and recognition systems utilizing various interactions for high specificity and affinity. Luminescent sensing, an advanced technique in analytical chemistry, leverages the optical properties of luminescent materials for highly sensitive and selective detection of analytes. Advances in nanotechnology and materials science have further enhanced analyte recognition capabilities through novel materials especially metal-organic frameworks (MOFs). These materials offer customizable platforms with tunable properties, and their luminescent properties enable sensitive and selective detection methods for various analytes. This review introduces the luminescence and response mechanisms of MOF-based luminescent sensing materials and explores the development processes for chemical recognition, highlighting advancements in recognizing a range of analytes from simple to complex and from single to multiple targets.
Source: Coordination chemistry research.
Authors: Zongsu Han, Joshua Rushlow, Yihao Yang, Jiatong Huo, Hong-Cai Zhou
Institution: Texas A&M University
Language: English
Subfield: Inorganic Chemistry
Field: Chemistry
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $1,390
Funder: Welch Foundation
Award: G2843182097
OpenAlex ID: W4410524322
