Highly sensitive non-enzymatic MP sensor based on electrospun copper oxide-doped zirconium oxide composite microfibers

被引：14

作者：

Li, Ling ^{[1
]}

Wang, Zhihui ^{[1
]}

Wang, Tingting ^{[1
]}

Gong, Jian ^{[1
]}

Qi, Bin ^{[1
]}

机构：

[1] Northeast Normal Univ, Key Lab Polyoxometalate Sci, Minist Educ, Dept Chem, Changchun 130024, Jilin, Peoples R China

来源：

JOURNAL OF ELECTROANALYTICAL CHEMISTRY | 2019年 / 846卷

关键词：

Zirconium oxide; Copper oxide; Methyl parathion; Modified electrode; Electrospinning microfibers; METHYL PARATHION; ELECTROCHEMICAL SENSOR; ORGANOPHOSPHORUS PESTICIDES; MAGNETIC NANOPARTICLES; CATALYZED HYDROLYSIS; SELECTIVE DETECTION; MESOPOROUS CARBONS; MASS-SPECTROMETRY; FACILE SYNTHESIS; GRAPHENE OXIDE;

D O I：

10.1016/j.jelechem.2019.05.053

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

An optimized detecting methyl parathion (MP) electrochemical sensor, fluorine tin oxide (FTO) electrodes modified by copper oxide doped zirconium oxide microfibers (CuO-ZrO2-MFs), has been successfully prepared. The CuO-ZrO2-MFs were characterized by scanning electron microscopy (SEM), energy dispersive X-ray spectroscopy (EDX), and X-ray diffraction pattern (XRD). The electrochemical and electrocatalytic performances of the CuO center dot ZrO2-MFs were investigated by cyclic voltammogram (CV) and square-wave voltammogram (SWV). The CuO center dot ZrO2-MFs as non-enzymatic MP sensor shows high sensitivity of 0.002-200 ppb and low detection limit of 0.16 ppb (signal/noise radio (S/N) = 3), which are among the best values reported in literature. Additionally, excellent selectivity and reproducibility have also been observed.

引用

收藏

页数：7

相关论文

共 50 条

[41] Copper Oxide Chitosan Nanocomposite: Characterization and Application in Non-Enzymatic Hydrogen Peroxide Sensing [J].

Arena, Antonella ;

Scandurra, Graziella ;

Ciofi, Carmine .

SENSORS, 2017, 17 (10)

[42] A Biocompatible, Highly Sensitive, and Non-Enzymatic Glucose Electrochemical Sensor Based on a Copper-Cysteamine (Cu-Cy)/Chitosan-Modified Electrode [J].

Chen, Huan ;

Gu, Tingting ;

Lv, Longyang ;

Chen, Xing ;

Lu, Qifeng ;

Kotb, Amer ;

Chen, Wei .

NANOMATERIALS, 2024, 14 (17)

[43] One-step preparation of ultra-thin copper oxide nanowire arrays/copper wire electrode for non-enzymatic glucose sensor [J].

He, Guanghua ;

Wang, Li .

IONICS, 2018, 24 (10) :3167-3175

[44] Non-enzymatic glucose sensor based on copper oxide and multi-wall carbon nanotubes using PEDOT:PSS matrix [J].

Amirzadeh, Zhila ;

Javadpour, Sirus ;

Shariat, Mohammad Hossein ;

Knibbe, Ruth .

SYNTHETIC METALS, 2018, 245 :160-166

[45] Facile preparation of a highly sensitive non-enzymatic glucose sensor based on the composite of Cu(OH)2 nanotubes arrays and conductive polypyrrole [J].

Manafi-Yeldaghermani, Reza ;

Shahrokhian, Saeed ;

Kahnamouei, Mohammad Hafezi .

MICROCHEMICAL JOURNAL, 2021, 169

[46] Synthesis and characterization of novel copper oxide-chitosan nanocomposites for non-enzymatic glucose sensing [J].

Figiela, Monika ;

Wysokowski, Marcin ;

Galinski, Maciej ;

Jesionowski, Teofil ;

Stepniak, Izabela .

SENSORS AND ACTUATORS B-CHEMICAL, 2018, 272 :296-307

[47] Nanolayers of carbon protected copper oxide nanocomposite for high performance energy storage and non-enzymatic glucose sensor [J].

Vediyappan, Veeramani ;

Sivakumar, Mani ;

Chen, Shen-Ming ;

Lai, Qiwen ;

Madhu, Rajesh .

JOURNAL OF ALLOYS AND COMPOUNDS, 2021, 875

[48] Porous Copper Oxide Thin Film Electrodes for Non-Enzymatic Glucose Detection [J].

Carinelli, Soledad ;

Salazar-Carballo, Pedro A. ;

Melian, Julio Ernesto De la Rosa ;

Garcia-Garcia, Francisco .

CHEMOSENSORS, 2023, 11 (05)

[49] A non-enzymatic electrochemical sensor based on zinc oxide/reduced graphene oxide (ZnO/rGO) nanocomposite for effective detection of urea [J].

Aparna, S. M. ;

Rakhi, R. B. .

MATERIALS SCIENCE AND ENGINEERING B-ADVANCED FUNCTIONAL SOLID-STATE MATERIALS, 2025, 312

[50] A sensitive non-enzymatic electrochemical glucose sensor based on a ZnO/Co3O4/reduced graphene oxide nanocomposite [J].

Hussein, Beshir A. ;

Tsegaye, Abebaw A. ;

Shifera, Getabalew ;

Taddesse, Abi M. .

SENSORS & DIAGNOSTICS, 2023, 2 (02) :347-360

← 1 2 3 4 5 →