Optimizing Multi-Analyte Detection with IL-MOF Hybrids on Elastic Substrates
Keywords:
multi-analyte detection, IL-MOF hybrids, elastic substrates, wearable sensors, electrohydrodynamic printing, Zn2(BTC)2, silicone, chemiresistive sensing, selectivity enhancementAbstract
Multi-analyte detection in wearable gas sensors demands inno- vative materials and fabrication techniques. This review inves- tigates IL-functionalized Zn2(BTC)2 MOF hybrids on silicone substrates using electrohydrodynamic (E-jet) printing, extend- ing the insights of Ahmadipour et al. (2025). Synthesizing 40 studies (2020-2025), we explore hybrid material design, printing optimization, and selectivity for NO2, CO, and H2S, achieving a 400% response at 30 ppm NO2. Original tables benchmark sensitivity and recovery times, while figures depict sensor architecture and response patterns. The novelty lies in a gradient-layered E- jet method to improve analyte discrimination, addressing scalability and durability challenges in wearable environmental monitoring.
