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Nakhostin-Allaf F, Eskandari H, Shamkhali AN, Heydari A. Determination of Orange II and Sulfasalazine in Food, Tablets, Urine, Soil, and Water by In Situ Preparation of Nickel Hydroxide Nanoflakes/Magnetite Nanoparticles for Magnetic Solid-phase Extraction followed by Electrochemical Detection. ANAL LETT 2023. [DOI: 10.1080/00032719.2023.2180014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/25/2023]
Affiliation(s)
- Farhad Nakhostin-Allaf
- Department of Chemistry, Faculty of Basic Sciences, University of Mohaghegh Ardabili, Ardabil, Iran
| | - Habibollah Eskandari
- Department of Chemistry, Faculty of Basic Sciences, University of Mohaghegh Ardabili, Ardabil, Iran
| | - Amir Nasser Shamkhali
- Department of Chemistry, Faculty of Basic Sciences, University of Mohaghegh Ardabili, Ardabil, Iran
| | - Amir Heydari
- Chemical Engineering Group, Faculty of Engineering, University of Mohaghegh Ardabili, Ardabil, Iran
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Metal-glycerolates and their derivatives as electrode materials: A review on recent developments, challenges, and future perspectives. Coord Chem Rev 2023. [DOI: 10.1016/j.ccr.2022.214954] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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Qin Z, Liu J, Sun B, Zou H, Chen L, Xu Y, Cao Y, Chen C. AC/Ni(OH)2 as a porous electrode material for supercapacitors with high-performance. Electrochim Acta 2022. [DOI: 10.1016/j.electacta.2022.141370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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Chong R, Rong J, Fan M, Zheng L, Wang X, Zhou Q, Wang L, Chang Z, Zhang L. A sensitive photoelectrochemical sensor based on hematite decorated with nickel hydroxide for the detection of glucose. J Electroanal Chem (Lausanne) 2022. [DOI: 10.1016/j.jelechem.2022.117035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
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Zhou Z, Wang L, Wang J, Liu C, Xu T, Zhang X. Machine Learning with Neural Networks to Enhance Selectivity of Nonenzymatic Electrochemical Biosensors in Multianalyte Mixtures. ACS APPLIED MATERIALS & INTERFACES 2022; 14:52684-52690. [PMID: 36397204 DOI: 10.1021/acsami.2c17593] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Nonenzymatic biosensors hold great potential in the field of analysis and detection due to long-term stability, high sensitivity, and low cost. However, the relative low selectivity, especially the overlapped oxidation peaks of biomarkers, in the biological matrix severely limits the practical application. In this work, we introduce an intelligent back-propagation neural network into nonenzymatic electrochemical biosensing to overcome the limitation of low selectivity for glucose and lactate detection. After simple electrodeposition and dropping modification, three working electrodes with distinct characters are fabricated and integrated into electrochemical microdroplet arrays for glucose and lactic acid detection. By analyzing chronoamperometry data from a standard mixture of glucose and lactate in varying concentrations, a database of highly selective detection can be simply established. The trained neural network model can reliably identify and accurately predict the concentration of glucose and lactic acid in the range of 0.25-20 mM with a correlation coefficient of 0.9997 in multianalyte mixtures. More importantly, the predicted results of serum samples are precise, and the relative standard deviation is less than 6.5%, proving the possible applicability of this method in real scenarios. This innovative method to enhance selectivity can avoid complex material synthesis and selection, and the highly specific nonenzymatic electrochemical biosensing platform paves the way for intelligent and precise point-of-care detection in long-term and is of low cost.
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Affiliation(s)
- Zhongzeng Zhou
- College of Chemistry and Environmental Engineering, School of Biomedical Engineering of Health Science Center, Shenzhen University, Shenzhen, Guangdong, China518060
| | - Luojun Wang
- College of Chemistry and Environmental Engineering, School of Biomedical Engineering of Health Science Center, Shenzhen University, Shenzhen, Guangdong, China518060
| | - Jing Wang
- College of Chemistry and Environmental Engineering, School of Biomedical Engineering of Health Science Center, Shenzhen University, Shenzhen, Guangdong, China518060
| | - Conghui Liu
- College of Chemistry and Environmental Engineering, School of Biomedical Engineering of Health Science Center, Shenzhen University, Shenzhen, Guangdong, China518060
- Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen, China518060
| | - Tailin Xu
- College of Chemistry and Environmental Engineering, School of Biomedical Engineering of Health Science Center, Shenzhen University, Shenzhen, Guangdong, China518060
- Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen, China518060
| | - Xueji Zhang
- College of Chemistry and Environmental Engineering, School of Biomedical Engineering of Health Science Center, Shenzhen University, Shenzhen, Guangdong, China518060
- Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen, China518060
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Sensing performances of spinel ferrites MFe2O4 (M = Mg, Ni, Co, Mn, Cu and Zn) based electrochemical sensors: A review. Anal Chim Acta 2022; 1233:340362. [DOI: 10.1016/j.aca.2022.340362] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2022] [Revised: 09/02/2022] [Accepted: 09/03/2022] [Indexed: 11/19/2022]
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Xu Y, Zhu T, Niu Y, Ye BC. Electrochemical detection of glutamate by metal–organic frameworks-derived Ni@NC electrocatalysts. Microchem J 2022. [DOI: 10.1016/j.microc.2022.107229] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
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Azeredo NFB, Gonçalves JM, Lima IS, Araki K, Wang J, Angnes L. Screen‐printed Nickel‐Cerium Hydroxide Sensor for Acetaminophen Determination in Body Fluids. ChemElectroChem 2021. [DOI: 10.1002/celc.202100417] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Affiliation(s)
- Nathália F. B. Azeredo
- Department of Fundamental Chemistry Institute of Chemistry University of São Paulo São Paulo Brazil
- Department of Nanoengineering University of California San Diego La Jolla USA
| | - Josué M. Gonçalves
- Department of Fundamental Chemistry Institute of Chemistry University of São Paulo São Paulo Brazil
| | - Irlan S. Lima
- Department of Fundamental Chemistry Institute of Chemistry University of São Paulo São Paulo Brazil
| | - Koiti Araki
- Department of Fundamental Chemistry Institute of Chemistry University of São Paulo São Paulo Brazil
| | - Joseph Wang
- Department of Nanoengineering University of California San Diego La Jolla USA
| | - Lúcio Angnes
- Department of Fundamental Chemistry Institute of Chemistry University of São Paulo São Paulo Brazil
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Uric acid electrochemical sensing in biofluids based on Ni/Zn hydroxide nanocatalyst. Mikrochim Acta 2020; 187:379. [DOI: 10.1007/s00604-020-04351-2] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Accepted: 05/22/2020] [Indexed: 02/06/2023]
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