Comparative study of CuO/Co3O4 external and CuO-Co3O4 internal heterojunctions: Do these factors always enhance gas-sensing performance?

被引：12
作者：
Phuoc, Phan Hong [1 ]
Viet, Nguyen Ngoc [1 ]
Chien, Nguyen Viet [1 ]
Hoang, Nguyen Van [2 ]
Hung, Chu Manh [3 ]
Hoa, Nguyen Duc [3 ]
Duy, Nguyen Van [3 ]
Hong, Hoang Si [4 ]
Trung, Do Dang [5 ]
Hieu, Nguyen Van [1 ]
机构：
[1] Phenikaa Univ, Fac Elect & Elect Engn, Hanoi, Vietnam
[2] Quy Don Tech Univ, Dept Mat Sci & Engn, Hanoi, Vietnam
[3] Hanoi Univ Sci & Technol, Int Training Inst Mat Sci, Hanoi, Vietnam
[4] Hanoi Univ Sci & Technol, Sch Elect Engn, Hanoi, Vietnam
[5] Univ Fire Fighting & Prevent, Dept Basics Sci, 243 Khuat Duy Tien, Hanoi, Vietnam
来源：
SENSORS AND ACTUATORS B-CHEMICAL | 2023年 / 384卷
关键词：
Heterojunction; Composite nanofiber; Mixed-nanofiber; Gas sensor; CUO NANOFIBERS; SNO2; NANOWIRES; GRAIN-SIZE; CO3O4; SENSORS; NANOSTRUCTURES; NANOSHEETS; GROWTH; BEHAVIOR;
D O I：
10.1016/j.snb.2023.133620
中图分类号：
O65 [分析化学];
学科分类号：
070302 ; 081704 ;
摘要：
The nanoscale heterojunctions in the nanofiber (NF) structure have been widely utilized in semiconductor metal oxide-based gas sensors to optimize the sensing characteristics. In this study, the CuO-Co3O4 composite and CuO/ Co3O4 mixed-NFs were synthesized to compare the influence level of internal- and external- junctions within NF on the gas sensing characteristics. The gas-sensing properties of four kinds of sensors based on NFs (CuO-Co3O4 composite, CuO/Co3O4 mixed, pristine CuO, and pristine Co3O4 NFs) were investigated in the concentration ranges of 0.1-1 ppm H2S reducing gas and 1-10 ppm NO2 oxidizing gas at different working temperatures from 250 degrees C to 450 degrees C. In addition, the response/recovery times, and the detection limits of NF sensors toward the target gases were explored. The evidence confirmed that both the internal and external junctions influenced the gas sensing performances for the reducing and oxidizing gases in two opposite trends. The response of heterojunction NF sensors was increased to H2S gas while reduced to NO2 gas. Thermal fingerprint analysis using the machine learning algorithm was applied to strengthen the selection of the gases. The results confirmed the internal junction existing within NFs was mainly governing the gas sensing performance.
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页数：12
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