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Mu W, Wu C, Wu F, Gao H, Ren X, Feng J, Miao M, Zhang H, Chang D, Pan H. Ultrasensitive and label-free electrochemical immunosensor for the detection of the ovarian cancer biomarker CA125 based on CuCo-ONSs@AuNPs nanocomposites. J Pharm Biomed Anal 2024; 243:116080. [PMID: 38479306 DOI: 10.1016/j.jpba.2024.116080] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2024] [Revised: 02/20/2024] [Accepted: 02/29/2024] [Indexed: 04/06/2024]
Abstract
Cancer antigen 125 (CA125) is pivotal as a tumor marker in early ovarian cancer prevention and diagnosis. In this work, we introduced an ultrasensitive label-free electrochemical immunosensor tailored for CA125 detection, leveraging nanogold-functionalized copper-cobalt oxide nanosheets (CuCo-ONSs@AuNPs) as nanocomposites. For the inaugural application, copper-cobalt oxide nanosheets delivered the requisite DPV electrochemical response for the immunosensors. Their large specific surface area and commendable electrical conductivity amplify electron transfer and enable significant gold nanoparticle loading. Concurrently, AuNPs offer a plethora of active sites, facilitating easy immobilization of biomolecules via the bond between amino groups and AuNPs. We employed scanning electron microscopy, transmission electron microscopy, and x-ray photoelectron spectroscopy to characterize the nanomaterials' surface morphology and elemental composition. The electrochemical sensor response signals were ascertained using differential pulse voltammetry. Under optimal conditions, the immunosensor exhibited a linear detection range from 1×10-7 U/mL to 1×10-3 U/mL and a detection limit of 3.9×10-8 U/mL (S/N=3). The proposed label-free electrochemical immunosensor furnishes a straightforward, dependable, and sensitive approach for CA125 quantification and stands as a promising method for clinical detection of other tumor markers.
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Affiliation(s)
- Wendi Mu
- School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, People's Republic of China; Collaborative Research Center, Shanghai University of Medicine and Health Sciences, Shanghai 201318, People's Republic of China
| | - Chunyan Wu
- School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, People's Republic of China; Collaborative Research Center, Shanghai University of Medicine and Health Sciences, Shanghai 201318, People's Republic of China
| | - Fangfang Wu
- Collaborative Research Center, Shanghai University of Medicine and Health Sciences, Shanghai 201318, People's Republic of China
| | - Hongmin Gao
- School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, People's Republic of China; Collaborative Research Center, Shanghai University of Medicine and Health Sciences, Shanghai 201318, People's Republic of China
| | - Xinshui Ren
- Collaborative Research Center, Shanghai University of Medicine and Health Sciences, Shanghai 201318, People's Republic of China; Shanghai University of Medicine and Health Sciences, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, People's Republic of China
| | - Jing Feng
- Collaborative Research Center, Shanghai University of Medicine and Health Sciences, Shanghai 201318, People's Republic of China
| | - Meng Miao
- Collaborative Research Center, Shanghai University of Medicine and Health Sciences, Shanghai 201318, People's Republic of China
| | - Hehua Zhang
- Collaborative Research Center, Shanghai University of Medicine and Health Sciences, Shanghai 201318, People's Republic of China
| | - Dong Chang
- Department of Laboratory Medicine, Shanghai Pudong Hospital, Shanghai 201399, People's Republic of China.
| | - Hongzhi Pan
- Collaborative Research Center, Shanghai University of Medicine and Health Sciences, Shanghai 201318, People's Republic of China; The Affiliated Zhoupu Hospital, Shanghai University of Medicine and Health Sciences, Shanghai 201318, People's Republic of China.
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Li Z, Zhang J, Huang Y, Zhai J, Liao G, Wang Z, Ning C. Development of electroactive materials-based immunosensor towards early-stage cancer detection. Coord Chem Rev 2022. [DOI: 10.1016/j.ccr.2022.214723] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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Zhao Y, Zhang H, Li Y, Wang X, Zhao L, Xu J, Zhan Z, Zhang G, Li WJ. Glycated Hemoglobin Electrochemical Immunosensor Based on Screen-Printed Electrode. BIOSENSORS 2022; 12:902. [PMID: 36291040 PMCID: PMC9599171 DOI: 10.3390/bios12100902] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Revised: 10/04/2022] [Accepted: 10/10/2022] [Indexed: 06/16/2023]
Abstract
An electrochemical HbA1c sensor with high sensitivity and good specificity is proposed based on the electrochemical immune principle. The reproducibility and conductivity of the electrode are improved by depositing gold nanoparticles (AuNPs) on the surface of the screen-printed electrode (SPE). The HbA1c antibodies are immobilized on the surface of the modified electrode by adsorption to capture the HbA1c in the sample. The hindering effect of HbA1c on the electrode transfer reaction was exploited as the HbA1c detection mechanism. The electrode's properties were characterized by electrochemical impedance spectroscopy (EIS), and the measurement properties of the electrode were analyzed using differential pulse voltammetry (DPV) and cyclic voltammetry (CV). The experimental results show that the peak current signal of the electrochemical immunosensor produced a linear response to HbA1c in the concentration range of 20-200 μg/mL, a linear relationship coefficient of 0.9812, a detection limit of 15.5 µg/mL, and a sensitivity of 0.0938 µA/µg·mL-1. The sensor delivered satisfactory repeatability, stability, and anti-interference performance. Due to its small size, high sensitivity, and wide linear detection range, it is expected to play a significant role in managing diabetes at home.
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Affiliation(s)
- Yuliang Zhao
- School of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China
| | - Hongyu Zhang
- Department of Mechanical Engineering, City University of Hong Kong, Hong Kong SAR 999077, China
| | - Yang Li
- Key Laboratory of Intelligent Rehabilitation and Neuromodulation of Hebei Province, School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China
| | - Xiaoai Wang
- School of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China
| | - Liang Zhao
- Dalian Institute of Measurement and Testing, Dalian 116033, China
| | - Jianghong Xu
- Qinhuangdao Hospital of Traditional Chinese Medicine, Qinhuangdao 066004, China
| | - Zhikun Zhan
- Key Laboratory of Intelligent Rehabilitation and Neuromodulation of Hebei Province, School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China
- School of Computer and Communication Engineering, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China
| | - Guanglie Zhang
- City University of Hong Kong Shenzhen Research Institute, Shenzhen 518057, China
| | - Wen Jung Li
- Department of Mechanical Engineering, City University of Hong Kong, Hong Kong SAR 999077, China
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Zhan Z, Li Y, Zhao Y, Zhang H, Wang Z, Fu B, Li WJ. A Review of Electrochemical Sensors for the Detection of Glycated Hemoglobin. BIOSENSORS 2022; 12:bios12040221. [PMID: 35448281 PMCID: PMC9024622 DOI: 10.3390/bios12040221] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Revised: 03/29/2022] [Accepted: 03/29/2022] [Indexed: 05/17/2023]
Abstract
Glycated hemoglobin (HbA1c) is the gold standard for measuring glucose levels in the diagnosis of diabetes due to the excellent stability and reliability of this biomarker. HbA1c is a stable glycated protein formed by the reaction of glucose with hemoglobin (Hb) in red blood cells, which reflects average glucose levels over a period of two to three months without suffering from the disturbance of the outside environment. A number of simple, high-efficiency, and sensitive electrochemical sensors have been developed for the detection of HbA1c. This review aims to highlight current methods and trends in electrochemistry for HbA1c monitoring. The target analytes of electrochemical HbA1c sensors are usually HbA1c or fructosyl valine/fructosyl valine histidine (FV/FVH, the hydrolyzed product of HbA1c). When HbA1c is the target analyte, a sensor works to selectively bind to specific HbA1c regions and then determines the concentration of HbA1c through the quantitative transformation of weak electrical signals such as current, potential, and impedance. When FV/FVH is the target analyte, a sensor is used to indirectly determine HbA1c by detecting FV/FVH when it is hydrolyzed by fructosyl amino acid oxidase (FAO), fructosyl peptide oxidase (FPOX), or a molecularly imprinted catalyst (MIC). Then, a current proportional to the concentration of HbA1c can be produced. In this paper, we review a variety of representative electrochemical HbA1c sensors developed in recent years and elaborate on their operational principles, performance, and promising future clinical applications.
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Affiliation(s)
- Zhikun Zhan
- School of Computer and Communication Engineering, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China;
- Key Laboratory of Intelligent Rehabilitation and Neuromodulation of Hebei Province, School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China; (Y.L.); (Z.W.); (B.F.)
| | - Yang Li
- Key Laboratory of Intelligent Rehabilitation and Neuromodulation of Hebei Province, School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China; (Y.L.); (Z.W.); (B.F.)
| | - Yuliang Zhao
- School of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China
- Correspondence: (Y.Z.); (W.J.L.)
| | - Hongyu Zhang
- Department of Mechanical Engineering, City University of Hong Kong, Kowloon, Hong Kong 999077, China;
| | - Zhen Wang
- Key Laboratory of Intelligent Rehabilitation and Neuromodulation of Hebei Province, School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China; (Y.L.); (Z.W.); (B.F.)
| | - Boya Fu
- Key Laboratory of Intelligent Rehabilitation and Neuromodulation of Hebei Province, School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China; (Y.L.); (Z.W.); (B.F.)
| | - Wen Jung Li
- Department of Mechanical Engineering, City University of Hong Kong, Kowloon, Hong Kong 999077, China;
- Correspondence: (Y.Z.); (W.J.L.)
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A sensitive analysis of sulfadimethoxine using an AuNPs/Ag-GO-Nf-based electrochemical immunosensor. J Solid State Electrochem 2022. [DOI: 10.1007/s10008-021-05069-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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