Citation: Haijie Cai, Xiaopeng Qiao, Meilian Chen, Dongsheng Feng, Abdulaziz A. Alghamdi, Fahad A. Alharthi, Yingjie Pan, Yong Zhao, Yongheng Zhu, Yonghui Deng. Hydrothermal synthesis of hierarchical SnO₂ nanomaterials for high-efficiency detection of pesticide residue[J]. Chinese Chemical Letters, ;2021, 32(4): 1502-1506. doi: 10.1016/j.cclet.2020.10.029 shu

Hydrothermal synthesis of hierarchical SnO₂ nanomaterials for high-efficiency detection of pesticide residue

Haijie Cai ^{a, e, 1} ,
Xiaopeng Qiao ^{a, 1} ,
Meilian Chen ^b ,
Dongsheng Feng ^b ,
Abdulaziz A. Alghamdi ^c ,
Fahad A. Alharthi ^c ,
Yingjie Pan ^a ,
Yong Zhao ^a ,
Yongheng Zhu ^{a, *,} ,
Yonghui Deng ^{d, e}

a.
College of Food Science and Technology, Laboratory of Quality & Safety Risk Assessment for Aquatic Products on Storage and Preservation (Shanghai), Ministry of Agriculture and Shanghai Engineering Research Center of Aquatic-Product Processing & Preservation Shanghai Ocean University, Shanghai 201306, China
b.
Shanghai Agricultural Product Quality and Safety Center, Shanghai 201306, China
c.
Department of Chemistry, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia
d.
Department of Chemistry, Fudan University Shanghai 200433, China
e.
State Key Lab of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China

yh-zhu@shou.edu.cn

Received Date: 9 September 2020
Revised Date: 30 September 2020
Accepted Date: 21 October 2020
Available Online: 22 October 2020

Figures(5)

Acephate pesticide contamination in agricultural production has caused serious human health problems. Metal oxide semiconductor (MOS) gas sensor can be used as a portable and promising alternative tool for efficiently detection of acephate. In this study, hierarchical assembled SnO₂ nanosphere, SnO₂ hollow nanosphere and SnO₂ nanoflower were synthesized respectively as high efficiency sensing materials to build rapid and selective acephate pesticide residues sensors. The morphologies of different SnO₂ 3D nanostructures were characterized by various material characterization technology. The sensitive performance test results of the 3D SnO₂ nanomaterials towards acephate show that hollow nanosphere SnO₂ based sensor displayed preferable sensitivity, selectivity, and rapid response (9 s) properties toward acephate at the optimal working temperature (300 ℃). This SnO₂ hollow nanosphere based gas sensor represents a useful tool for simple and highly effective monitoring of acephate pesticide residues in food and environment. According to the characterization results, particularly Brunauer-Emmett-Teller (BET) and Ultraviolet-Visible Spectroscopy (UV–vis), the obvious and fast response can be attributed to the mesoporous hollow nanosphere structure and appropriate band gap of SnO₂ hollow nanosphere.
- SnO₂ nanomaterials,
- Hollow nanostructures,
- Hydrothermal methods,
- Acephate gas sensor,
- High-efficiency detection
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Hydrothermal synthesis of hierarchical SnO₂ nanomaterials for high-efficiency detection of pesticide residue