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Amplified Dimensionality Effect from 2D to 3D Covalent Organic Frameworks for Enhanced Fluorescent Sensing of Nitroaromatic Explosives.

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Title: Amplified Dimensionality Effect from 2D to 3D Covalent Organic Frameworks for Enhanced Fluorescent Sensing of Nitroaromatic Explosives.
Authors: Song, Jia-Long1 (AUTHOR), Ren, Jun-Xia2 (AUTHOR), Miao, Bo2 (AUTHOR), Huang, Zheng-Hao1 (AUTHOR), Lv, Xiao1 (AUTHOR), Cheng, Lei1 (AUTHOR), Huang, Run-Lin1 (AUTHOR), Huang, Yu-Xuan1 (AUTHOR), Zhong, Tian3 (AUTHOR), Liu, Yao-Zu2 (AUTHOR) yaozuliu@jlu.edu.cn, An, Jing1 (AUTHOR) anjing@jluzh.edu.cn, Fang, Qian-Rong2 (AUTHOR)
Source: Chinese Journal of Polymer Science (Springer Science & Business Media B.V.). May2026, Vol. 44 Issue 5, p1373-1380. 8p.
Subjects: Explosives detection, Nitroaromatic compounds, Photoluminescence, Photoinduced electron transfer, Fluorescent probes, Polymer structure
Abstract: Efficient detection of nitroaromatic explosives remains a great challenge, and covalent organic frameworks (COFs) incorporating aggregation-induced emission (AIE) units provide a promising platform for high-performance fluorescent sensing. Herein, we designed and synthesized both two-dimensional (2D) and three-dimensional (3D) AIE-active COFs to systematically investigate how dimensional differences (pore architecture, charge transfer efficiency, and AIE behavior) regulate sensing performance. Through a "4+4" imine condensation strategy, a 2D sql topological COF (TPPDA-TPTPE) was obtained from a planar tetraamine (TPPDA), whereas a 3D pts topological COF (JUC-646) was constructed from a twisted tetraamine (BMTA) with Td geometry—using the same TPTPE linker. Both COFs exhibit high crystallinity, stability, and strong AIE-derived luminescence, but show strikingly different sensing performances. In particular, JUC-646 achieves a quenching constant of 6.99×104 L/mol toward 2,4,6-trinitrophenol (TNP), nearly five times higher than that of TPPDA-TPTPE. This superior performance originates from the 3D open-channel structure (facilitating analyte diffusion), enhanced host-guest interactions, and energetically favorable photoinduced electron transfer—all of which are derived from dimensional differences. This comparative study explicitly establishes a structure-function relationship between framework dimensionality and sensing performance, offering direct guidance for the rational design of AIE-active COFs with tailored dimensionality for efficient explosive detection. [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
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Abstract:Efficient detection of nitroaromatic explosives remains a great challenge, and covalent organic frameworks (COFs) incorporating aggregation-induced emission (AIE) units provide a promising platform for high-performance fluorescent sensing. Herein, we designed and synthesized both two-dimensional (2D) and three-dimensional (3D) AIE-active COFs to systematically investigate how dimensional differences (pore architecture, charge transfer efficiency, and AIE behavior) regulate sensing performance. Through a "4+4" imine condensation strategy, a 2D sql topological COF (TPPDA-TPTPE) was obtained from a planar tetraamine (TPPDA), whereas a 3D pts topological COF (JUC-646) was constructed from a twisted tetraamine (BMTA) with Td geometry—using the same TPTPE linker. Both COFs exhibit high crystallinity, stability, and strong AIE-derived luminescence, but show strikingly different sensing performances. In particular, JUC-646 achieves a quenching constant of 6.99×104 L/mol toward 2,4,6-trinitrophenol (TNP), nearly five times higher than that of TPPDA-TPTPE. This superior performance originates from the 3D open-channel structure (facilitating analyte diffusion), enhanced host-guest interactions, and energetically favorable photoinduced electron transfer—all of which are derived from dimensional differences. This comparative study explicitly establishes a structure-function relationship between framework dimensionality and sensing performance, offering direct guidance for the rational design of AIE-active COFs with tailored dimensionality for efficient explosive detection. [ABSTRACT FROM AUTHOR]
ISSN:02567679
DOI:10.1007/s10118-025-3531-3