A novel quantitative design modeling on gas sensing parameter of nano-materials based on micro-gravimetric thermo-dynamic experiments

摘要

The study is aimed at building a novel quantitative adsorbing/sensing model for chemical gas sensing materials, with which various key sensing parameters can be comprehensively evaluated and optimally designed. Gravimetric resonant-cantilevers are used in experiment to real-time record sensing curves at different temperatures, which are further used to extract adsorbing/sensing performance of the specific materials for quantitative evaluation and optimal design of the sensor. The technique is well validated by choosing the best trimethylamine (TMA) sensing material among three similar mesoporous silica nanoparticles (MSNs).