| Title: | A Programmable Plasmonic Gas Microsystem for Detecting Arbitrarily Combinated Volatile Organic Compounds (VOCs) with Ultrahigh Resolution |
| Author(s): | Yang K; Zhang C; Zhu K; Qian Z; Yang Z; Wu L; Zong S; Cui Y; Wang Z; |
| Address: | "Advanced Photonics Center, School of Electronic Science and Engineering, Southeast University, Nanjing 210096, China" |
| ISSN/ISBN: | 1936-086X (Electronic) 1936-0851 (Linking) |
| Abstract: | "For gas sensors, the ultrasensitive and highly selective detection of multiple components is of great significance in a wide range of applications extending from environment to healthcare, which is still a long-term challenge due to the single sensing mechanism of most sensors. Here, we combine the advantages of microfluidic chips and surface-enhanced Raman spectroscopy (SERS) spectra to fabricate a smart single-chip for simultaneously detecting an arbitrary combination of VOCs that incorporates different detection units, working on either a physisorption or chemisorption mechanism. Full integration of microfluidic and multiplex nanostructure components on one chip permits programmable design for sensing multifarious volatile compounds, and enables on-chip signal amplifications with increased reproducibility. As a proof-of-principle experiment, we demonstrate the simultaneous identification of 9 different gases that belong to aromatic compounds, aldehydes, ketones, or sulfides in one mixture, with high sensitivity (ppb level), high selectivity, and high robustness (error approximately 8%). We further evaluated the application of our universal gas sensor in two scenarios including indoor air pollution monitoring and exhaled breath-based disease diagnosis. We expect that our design will improve the various practical applications of gas sensors" |
| Keywords: | "*Volatile Organic Compounds Reproducibility of Results Gases/chemistry Spectrum Analysis, Raman Aldehydes Ti3C2Tx MXene gas sensors microfluidic chips surface-enhanced Raman spectroscopy (SERS) volatile organic compounds (VOCs);" |
| Notes: | "MedlineYang, Kuo Zhang, Congyu Zhu, Kai Qian, Ziting Yang, Zhaoyan Wu, Lei Zong, Shenfei Cui, Yiping Wang, Zhuyuan eng Research Support, Non-U.S. Gov't 2022/10/25 ACS Nano. 2022 Nov 22; 16(11):19335-19345. doi: 10.1021/acsnano.2c08906. Epub 2022 Oct 24" |
