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具有荧光强度和波长偏移双重信号的仿生聚合物阵列气相传感器。

Bio-inspired polymer array vapor sensor with dual signals of fluorescence intensity and wavelength shift.

作者信息

Zhao Zhihao, Ge Yinghao, Xu Lingyun, Sun Xiaohan, Zuo Jing, Wang Zhenglin, Liu Hongyang, Jiang Xiangyu, Wang Dong

机构信息

Research Institute of Frontier Science, Beihang University, Beijing, China.

Department of Materials Physics and Chemistry, School of Materials Science and Engineering, University of Science and Technology Beijing, Beijing, China.

出版信息

Front Bioeng Biotechnol. 2022 Oct 31;10:1058404. doi: 10.3389/fbioe.2022.1058404. eCollection 2022.

Abstract

Organic vapor sensors based on polymer owing to their tunable molecular structures and designable functions have attracted considerable research interest. However, detecting multiple organic vapors with high accuracy and a low detection limit is still challenging. Herein, inspired by the mammalian olfactory recognition system, organic vapor sensors based on one-dimensional microfilament array structures with a wide range of sensing gases are demonstrated. By introducing aggregation-induced emission (AIE) molecules, sensors possess dual-optical sensing mechanisms of variation in fluorescence intensity and wavelength. By virtue of the synergistic effects of dual signals, superb accuracy and incredibly low detection limit are achieved for identifying analytes. In particular, the polymer/AIE microfilament array can detect acetone vapor down to 0.03% of saturated vapor pressure. In the saturated vapor of acetone, the fluorescence intensity of the sensor arrays was reduced by 53.7%, while the fluorescence wavelength was red-shifted by 21 nm. Combined with the principal component analysis (PCA) algorithm, the polymer/AIE molecular sensor arrays accomplished the classification and identification of acetone, ethanol, methylene chloride, toluene, and benzene. This bioinspired approach with dual sensing signals may broaden practical applications to high-performance gas sensors for precise molecular detection.

摘要

基于聚合物的有机蒸汽传感器因其可调节的分子结构和可设计的功能而引起了广泛的研究兴趣。然而,高精度、低检测限地检测多种有机蒸汽仍然具有挑战性。在此,受哺乳动物嗅觉识别系统的启发,展示了基于一维微丝阵列结构的有机蒸汽传感器,其具有广泛的传感气体。通过引入聚集诱导发光(AIE)分子,传感器具有荧光强度和波长变化的双光学传感机制。借助双信号的协同效应,在识别分析物时实现了超高的精度和极低的检测限。特别是,聚合物/AIE微丝阵列能够检测低至0.03%饱和蒸气压的丙酮蒸汽。在丙酮的饱和蒸汽中,传感器阵列的荧光强度降低了53.7%,而荧光波长红移了21nm。结合主成分分析(PCA)算法,聚合物/AIE分子传感器阵列完成了丙酮、乙醇、二氯甲烷、甲苯和苯的分类和识别。这种具有双传感信号的仿生方法可能会拓宽高性能气体传感器在精确分子检测方面的实际应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/37bb/9659642/c183a7bda7e5/fbioe-10-1058404-g001.jpg

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