A–D–A Molecular Design Strategy Enabling Ultrasensitive NIR Vapor Sensing

Thin-film fluorescent chemosensors, characterized by their tunable design, high selectivity, and exceptional sensitivity, hold significant promise for gas detection applications. However, the simultaneous realization of the 3S attributes (sensitivity, selectivity, and stability) remains a formidable challenge, particularly in the underexplored field of near-infrared (NIR) gas detection. In this work, we employ an acceptor-donor-acceptor (A-D-A) molecular design strategy to drive the development of an organic semiconductor fluorescent material with a progressive red shift in the emission wavelength. As a result, we synthesized C8-IDTT-IC, a NIR fluorescent thin film with a peak emission at 790 nm. In contrast to conventional visible fluorescent materials, this NIR material demonstrates excellent resistance to background light interference and optical damage, particularly in the detection of biogenic amines. Systematic evaluations reveal that the material achieves remarkable selectivity, with a detection limit as low as 116 ppb, a rapid response time of less than 30 s, and an optical damage rate of only 3% over 1800 s. The practical utility of this material is further exemplified by its integration into a hand-held detector, enabling real-time monitoring of spoilage in beef and fish samples, showcasing its potential for real-world applications.

Authors

Institutions

Publication Details

Journal
Analytical Chemistry
Published
2024-12-19
DOI
https://doi.org/10.1021/acs.analchem.4c05394
Citations
3
Primary Topic
Luminescence and Fluorescent Materials
Type
article
Field-Weighted Citation Impact
0.35

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A–D–A Molecular Design Strategy Enabling Ultrasensitive NIR Vapor Sensing

Wénxìng Xú, Zhi‐Qiang Shi, Xiang Ma, Wancheng Bao et al.
3 citations
Analytical Chemistry
Luminescence and Fluorescent Materials
0.35
article

A–D–A Molecular Design Strategy Enabling Ultrasensitive NIR Vapor Sensing

Wénxìng Xú, Zhi‐Qiang Shi, Xiang Ma, Wancheng Bao, Huizi Li, Kai Qi, Yanyan Fu, Qingguo He, Zhengqi Shen, Kangbo Zhen, Huan Liu, Chunhui Li, Wei Xu, Zhaohui Zhu, Jiangong Cheng, Bo Wang, Xiuyun Jiang
article en
3 citations

Abstract

Thin-film fluorescent chemosensors, characterized by their tunable design, high selectivity, and exceptional sensitivity, hold significant promise for gas detection applications. However, the simultaneous realization of the 3S attributes (sensitivity, selectivity, and stability) remains a formidable challenge, particularly in the underexplored field of near-infrared (NIR) gas detection. In this work, we employ an acceptor-donor-acceptor (A-D-A) molecular design strategy to drive the development of an organic semiconductor fluorescent material with a progressive red shift in the emission wavelength. As a result, we synthesized C8-IDTT-IC, a NIR fluorescent thin film with a peak emission at 790 nm. In contrast to conventional visible fluorescent materials, this NIR material demonstrates excellent resistance to background light interference and optical damage, particularly in the detection of biogenic amines. Systematic evaluations reveal that the material achieves remarkable selectivity, with a detection limit as low as 116 ppb, a rapid response time of less than 30 s, and an optical damage rate of only 3% over 1800 s. The practical utility of this material is further exemplified by its integration into a hand-held detector, enabling real-time monitoring of spoilage in beef and fish samples, showcasing its potential for real-world applications.

Analytical ChemistryVol. 97(1)
East China University of Science and Technology (CN), Chinese Academy of Sciences (CN), Shanghai Normal University (CN), State Key Laboratory of Transducer Technology (CN), Shanghai Institute of Microsystem and Information Technology (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China, Science and Technology Commission of Shanghai Municipality, National Key Research and Development Program of China
Openalex Percentile: Top 42%
Luminescence and Fluorescent Materials
0.35
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.