Title: | Ti(3)C(2)T(x) MXene-Loaded 3D Substrate toward On-Chip Multi-Gas Sensing with Surface-Enhanced Raman Spectroscopy (SERS) Barcode Readout |
Author(s): | Yang K; Zhu K; Wang Y; Qian Z; Zhang Y; Yang Z; Wang Z; Wu L; Zong S; Cui Y; |
Address: | "Advanced Photonics Center, Southeast University, Nanjing 210096, China" |
ISSN/ISBN: | 1936-086X (Electronic) 1936-0851 (Linking) |
Abstract: | "Gas sensors lie at the heart of various fields ranging from medical to environmental sciences, and the demand of gas sensors is instantly expanding. However, in the face of complex gas samples, how to maintain high sensitivity while performing multiplex detection still puzzles the researchers. Here, by introducing Ti(3)C(2)T(x) MXene into a microfluidic gas sensor with a three-dimensional (3D) transferable SERS substrate, a powerful gas sensor having both multiplex detecting ability and high sensitivity is demonstrated. The employ of MXene endows the sensor with a universal high adsorption efficiency for various gases while the generation of in situ gas vortices in the sophisticated nanomicro structure extends the molecule residence time in SERS-active area, both leading to the increased sensitivity. In the proof-of-concept experiment, a limit of detection (LOD) of 10-50 ppb was achieved for three typical volatile organic compounds (VOCs) according to the intrinsic SERS signals of gas molecules. Besides, the well-designed periodic 3D structure solves the general repeatability problem of SERS substrates. In addition, the detailed composition of gas mixture was revealed using classic least-square analysis (CLS) with an average accuracy of 90.6%. Further, a chromatic barcode was developed based on the results of CLS to read out the complex composition of samples visually" |
Keywords: | "*Spectrum Analysis, Raman/methods Titanium Limit of Detection Gases/chemistry *Volatile Organic Compounds/analysis MXene Ti3C2Tx classic least-square analysis (CLS) self-assembly surface-enhanced Raman spectroscopy (SERS) volatile organic compounds (VOCs);" |
Notes: | "MedlineYang, Kuo Zhu, Kai Wang, Yuanzhe Qian, Ziting Zhang, Yizhi Yang, Zhaoyan Wang, Zhuyuan Wu, Lei Zong, Shenfei Cui, Yiping eng Research Support, Non-U.S. Gov't 2021/07/31 ACS Nano. 2021 Aug 24; 15(8):12996-13006. doi: 10.1021/acsnano.1c01890. Epub 2021 Jul 30" |