Enhanced formaldehyde sensing properties of hollow SnO 2 nanofibers by graphene oxide

2017 ◽  
Vol 250 ◽  
pp. 533-542 ◽  
Author(s):  
Ding Wang ◽  
Minglu Zhang ◽  
Zhenlu Chen ◽  
Huijun Li ◽  
Aiying Chen ◽  
...  
2022 ◽  
Vol 276 ◽  
pp. 125378
Author(s):  
Xiaohua Jia ◽  
Shouwen Yu ◽  
Chuande Cheng ◽  
Jin Yang ◽  
Yong Li ◽  
...  

2018 ◽  
Vol 739 ◽  
pp. 260-269 ◽  
Author(s):  
Xiaoguang San ◽  
Ming Li ◽  
Dongyu Liu ◽  
Guosheng Wang ◽  
Yanbai Shen ◽  
...  

Nanomaterials ◽  
2019 ◽  
Vol 9 (6) ◽  
pp. 835 ◽  
Author(s):  
Zhaotian Cai ◽  
Yabing Ye ◽  
Xuan Wan ◽  
Jun Liu ◽  
Shihui Yang ◽  
...  

Various morphologies of iron oxide nanoparticles (Fe2O3 NPs), including cubic, thorhombic and discal shapes were synthesized by a facile meta-ion mediated hydrothermal route. To further improve the electrochemical sensing properties, discal Fe2O3 NPs with the highest electrocatalytic activity were coupled with graphene oxide (GO) nanosheets. The surface morphology, microstructures and electrochemical properties of the obtained Fe2O3 NPs and Fe2O3/GO nanohybrids were characterized by scanning electron microscopy (SEM), X-ray diffraction (XRD), cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS) techniques. As expected, the electrochemical performances were found to be highly related to morphology. The discal Fe2O3 NPs coupled with GO showed remarkable electrocatalytic activity toward the oxidation of dopamine (DA) and uric acid (UA), due to their excellent synergistic effect. The electrochemical responses of both DA and UA were linear to their concentrations in the ranges of 0.02–10 μM and 10–100 μM, with very low limits of detection (LOD) of 3.2 nM and 2.5 nM for DA and UA, respectively. Moreover, the d-Fe2O3/GO nanohybrids showed good selectivity and reproducibility. The proposed d-Fe2O3/GO/GCE realized the simultaneous detection of DA and UA in human serum and urine samples with satisfactory recoveries.


2019 ◽  
Vol 124 ◽  
pp. 36-43 ◽  
Author(s):  
Dan Liu ◽  
Junli Pan ◽  
Jianghong Tang ◽  
Weiqiao Liu ◽  
Shouli Bai ◽  
...  

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