Globally Ultra-Trace Intelligent Detection of Hydrazine in Eco-Environment with Ratiometric Fluorescent Bioimaging

36 Pages Posted: 15 Jan 2025

See all articles by Xiao‐Hong Li

Xiao‐Hong Li

Guizhou University

Meng-Zhao Li

Central China Normal University

Xiao-Yan Yang

Guizhou University

Tian-Yan Wang

Central China Normal University

Yin-Heng Luo

Central China Normal University

Jing-Yi Li

Central China Normal University

Ge-Fei Hao

Guizhou University

Chun-Rong Liu

Central China Normal University

Abstract

Inorganic pollutants, due to their chemical stability, toxicity, and persistence in the environment, have become a growing concern for global ecosystems. Among them, hydrazine (N2H4), a highly reactive specie widely used in industrial processes because of its high reactivity, poses significant ecological risks. Although significant advances have been made in the detection of N2H4 in ecological contexts, the global and simple detection of N2H4 in eco-environment remains a significant challenge. Herein, we developed an ultra-trace fluorescence chemosensor, DIPOT, and integrated it into a portable and fluorometric tool for intelligently quantitative detection and visualization of N2H4 using a smartphone app. DIPOT exhibited excellent ratiometric fluorescence performance in aqueous solution with a detection limit as low as 4.5 nM, emitting red fluorescence that shifted to green upon the addition of N2H4. Furthermore, it has been successfully applied to detection of ultra-trace levels of N2H4 in over 10 different eco-environmental samples, including water, soil, and crops, and has enabled ultra-sensitive ratiometric bioimaging of various ecological organisms. Our findings provide a simple and effective approach for globally ultra-trace intelligent detection of N2H4 in eco-environmental contexts.

Keywords: Ratiometric fluorescence chemosensor, hydrazine, intelligent detection, global analysis, ultra-sensitive bioimaging, eco-environment

Suggested Citation

Li, Xiao‐Hong and Li, Meng-Zhao and Yang, Xiao-Yan and Wang, Tian-Yan and Luo, Yin-Heng and Li, Jing-Yi and Hao, Ge-Fei and Liu, Chun-Rong, Globally Ultra-Trace Intelligent Detection of Hydrazine in Eco-Environment with Ratiometric Fluorescent Bioimaging. Available at SSRN: https://ssrn.com/abstract=5098330 or http://dx.doi.org/10.2139/ssrn.5098330

Xiao‐Hong Li

Guizhou University ( email )

Guizhou
China

Meng-Zhao Li

Central China Normal University ( email )

152 Luoyu Road
Wuhan, 430079
China

Xiao-Yan Yang

Guizhou University ( email )

Guizhou
China

Tian-Yan Wang

Central China Normal University ( email )

152 Luoyu Road
Wuhan, 430079
China

Yin-Heng Luo

Central China Normal University ( email )

152 Luoyu Road
Wuhan, 430079
China

Jing-Yi Li

Central China Normal University ( email )

152 Luoyu Road
Wuhan, 430079
China

Ge-Fei Hao (Contact Author)

Guizhou University ( email )

Chun-Rong Liu

Central China Normal University ( email )

152 Luoyu Road
Wuhan, 430079
China

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