Tailoring Super-Performed Chemo-Sensor via Simulation-Modeling and MEMS-Screening.

ABSTRACT: Chemo-sensor designing involves a time-consuming trial-and-error screening process, which commonly cannot lead to optimal S⁴R features (Sensitivity, Selectivity, Speed, Stability, and Reversibility). Due to strong path dependence on reported groups/mechanisms, conventional chemo-sensors often fail to meet critical application demands, especially in achieving high reversibility without compromising other features. Here, a three-step screen and design strategy is developed for gaining customized chemo-sensors, through Structure modeling; MEMS (Micro Electro Mechanical Systems) analysis, and Performance verification. With such a strategy, the coordination hanging anion mechanism is screened out for reversible nerve agent detection and shows reversible emission enhancement by 25.8 t

SUBMITTER: Xu W 

PROVIDER: S-EPMC11848570 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature