Title: | Polymer-based flexible NO(x) sensors with ppb-level detection at room temperature using breath-figure molding |
Author(s): | Yu SH; Girma HG; Sim KM; Yoon S; Park JM; Kong H; Chung DS; |
Address: | "Department of Energy Science and Engineering, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu 42988, Republic of Korea. dchung@dgist.ac.kr" |
ISSN/ISBN: | 2040-3372 (Electronic) 2040-3364 (Linking) |
Abstract: | "A strategically designed polymer semiconductor thin film morphology with both high responsivity to the specific gas analyte and high signal transport efficiency is reported to realize high-performance flexible NOx gas sensors. Breath-figure (BF) molding of polymer semiconductors enables a finely defined degree of nano-porosity in polymer films with high reproducibility while maintaining high charge carrier mobility characteristics of organic field effect transistors (OFETs). The optimized BF-OFET with a donor-acceptor copolymer exhibits a maximum responsivity of over 104%, sensitivity of 774% ppm-1, and limit of detection (LOD) of 110 ppb against NO at room temperature. When tested across at NO concentrations of 0.2-10 ppm, the BF-OFET gas sensor exhibits a response time of 100-300 s, which is suitable for safety purposes in practical applications. Furthermore, BF-OFETs show a high reproducibility as confirmed by statistical analysis on 64 independently fabricated devices. The selectivity of NOx analytes is tested by comparing the sensing ability of BF-OFETs with those of other reducing gases and volatile organic compounds; the BF-OFET gas sensor platform monitors specific gas analytes based on their polarity and magnitude of sensitivity. Finally, flexible BF-OFETs conjugated with plastic substrates are demonstrated and they exhibit a sensitivity of 500% ppm-1 and a LOD of 215 ppb, with a responsivity degradation of only 14.2% after 10 000 bending cycles at 1% strain" |
Notes: | "PubMed-not-MEDLINEYu, Seong Hoon Girma, Henok Getachew Sim, Kyu Min Yoon, Seongwon Park, Jong Mok Kong, Hoyoul Chung, Dae Sung eng England 2019/09/24 Nanoscale. 2019 Oct 3; 11(38):17709-17717. doi: 10.1039/c9nr06096k" |