Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/81312
Title: Highly-sensitive optical organic vapor sensor through polymeric swelling induced variation of fluorescent intensity
Authors: Jiang, Xiangyu
Gao, Hanfei
Zhang, Xiqi
Pang, Jinhui
Li, Yunqi
Li, Kan
Wu, Yuchen
Li, Shuzhou
Zhu, Jia
Wei, Yen
Jiang, Lei
Keywords: Optical Organic Vapor Sensor
Polymeric Swelling
DRNTU::Engineering::Materials
Issue Date: 2018
Source: Jiang, X., Gao, H., Zhang, X., Pang, J., Li, Y., Li, K., . . . Jiang, L. (2018). Highly-sensitive optical organic vapor sensor through polymeric swelling induced variation of fluorescent intensity. Nature Communications, 9(1). doi:10.1038/s41467-018-06101-8
Series/Report no.: Nature Communications
Abstract: Traditional optical organic vapor sensors with solvatochromic shift mechanisms have lower sensitivity due to weak intermolecular interactions. Here, we report a general strategy to prepare a higher sensitivity optical organic vapor sensor through polymeric swelling-induced variation of fluorescent intensity. We combine one-dimensional polymeric structures and aggregation-induced emission (AIE) molecules together to form a polymer/AIE microwires array as a sensor. The prepared sensors based on different commercial polymers can successfully classify and identify various organic vapors. Among them, the poly(vinyl butyral)/AIE microwires array can detect methanol vapor as low as 0.05% of its saturation vapor pressure. According to the theory of like dissolves like, we further fabricate a polymer/AIE microwires array derived from designable polyethersulfones, through regulating their side chains, to distinguish similar organic vapors of benzene and toluene. Both experimental and theoretical simulation results reveal that specific molecular interactions between the polyethersulfones and organic vapors can improve the specific recognition performance of the sensors.
URI: https://hdl.handle.net/10356/81312
http://hdl.handle.net/10220/47483
DOI: 10.1038/s41467-018-06101-8
Rights: © 2018 The Author(s). This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:MSE Journal Articles

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