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Guo L, Zhao Y, Huang Q, Huang J, Tao Y, Chen J, Li HY, Liu H. Electrochemical protein biosensors for disease marker detection: progress and opportunities. MICROSYSTEMS & NANOENGINEERING 2024; 10:65. [PMID: 38784375 PMCID: PMC11111687 DOI: 10.1038/s41378-024-00700-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Revised: 01/23/2024] [Accepted: 03/08/2024] [Indexed: 05/25/2024]
Abstract
The development of artificial intelligence-enabled medical health care has created both opportunities and challenges for next-generation biosensor technology. Proteins are extensively used as biological macromolecular markers in disease diagnosis and the analysis of therapeutic effects. Electrochemical protein biosensors have achieved desirable specificity by using the specific antibody-antigen binding principle in immunology. However, the active centers of protein biomarkers are surrounded by a peptide matrix, which hinders charge transfer and results in insufficient sensor sensitivity. Therefore, electrode-modified materials and transducer devices have been designed to increase the sensitivity and improve the practical application prospects of electrochemical protein sensors. In this review, we summarize recent reports of electrochemical biosensors for protein biomarker detection. We highlight the latest research on electrochemical protein biosensors for the detection of cancer, viral infectious diseases, inflammation, and other diseases. The corresponding sensitive materials, transducer structures, and detection principles associated with such biosensors are also addressed generally. Finally, we present an outlook on the use of electrochemical protein biosensors for disease marker detection for the next few years.
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Affiliation(s)
- Lanpeng Guo
- School of Integrated Circuits, Wuhan National Laboratory for Optoelectronics, Optics Valley Laboratory, Huazhong University of Science and Technology, Wuhan, 430074 China
| | - Yunong Zhao
- Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Integrated Circuits, Anhui University, Hefei, 230601 China
| | - Qing Huang
- School of Integrated Circuits, Wuhan National Laboratory for Optoelectronics, Optics Valley Laboratory, Huazhong University of Science and Technology, Wuhan, 430074 China
- School of Optoelectronic Materials and Technology, Jianghan University, Wuhan, 430056 China
| | - Jing Huang
- School of Integrated Circuits, Wuhan National Laboratory for Optoelectronics, Optics Valley Laboratory, Huazhong University of Science and Technology, Wuhan, 430074 China
| | - Yanbing Tao
- School of Integrated Circuits, Wuhan National Laboratory for Optoelectronics, Optics Valley Laboratory, Huazhong University of Science and Technology, Wuhan, 430074 China
| | - Jianjun Chen
- Department of Otorhinolaryngology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, 430022 China
| | - Hua-Yao Li
- School of Integrated Circuits, Wuhan National Laboratory for Optoelectronics, Optics Valley Laboratory, Huazhong University of Science and Technology, Wuhan, 430074 China
- Wenzhou Institute of Advanced Manufacturing Technology, Huazhong University of Science and Technology, Wenzhou, 325000 China
| | - Huan Liu
- School of Integrated Circuits, Wuhan National Laboratory for Optoelectronics, Optics Valley Laboratory, Huazhong University of Science and Technology, Wuhan, 430074 China
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Jin S, Chen H, Pan K, Li R, Ma X, Yuan R, Meng X, He H. State-of-the-art electrochemical biosensors based on covalent organic frameworks and their hybrid materials. Talanta 2024; 270:125557. [PMID: 38128284 DOI: 10.1016/j.talanta.2023.125557] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Revised: 12/10/2023] [Accepted: 12/13/2023] [Indexed: 12/23/2023]
Abstract
As the development of global population and industry civilization, the accurate and sensitive detection of intended analytes is becoming an important and great challenge in the field of environmental, medical, and public safety. Recently, electrochemical biosensors have been constructed and used in sensing fields, such as antibiotics, pesticides, specific markers of cancer, and so on. Functional materials have been designed and prepared to enhance detection performance. Among all reported materials, covalent organic frameworks (COFs) are emerging as porous crystalline materials to construct electrochemical biosensors, because COFs have many unique advantages, including large surface area, high stability, atom-level designability, and diversity, to achieve a far better sensing performance. In this comprehensive review, we not only summarize state-of-the-art electrochemical biosensors based on COFs and their hybrid materials but also highlight and discuss some typical examples in detail. We finally provide the challenge and future perspective of COFs-based electrochemical biosensors.
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Affiliation(s)
- Shi Jin
- Department of Basic Science, Jilin Jianzhu University, Changchun, 130118, PR China
| | - Hongxu Chen
- College of Material and Textile Engineering, Jiaxing University, Jiaxing, 314001, PR China.
| | - Kexuan Pan
- College of Material and Textile Engineering, Jiaxing University, Jiaxing, 314001, PR China
| | - Ruyu Li
- Department of Materials Science and Engineering, Jilin Jianzhu University, Changchun, 130118, PR China
| | - Xingyu Ma
- Department of Materials Science and Engineering, Jilin Jianzhu University, Changchun, 130118, PR China
| | - Rongrong Yuan
- Department of Materials Science and Engineering, Jilin Jianzhu University, Changchun, 130118, PR China.
| | - Xianshu Meng
- College of Chemistry, Tianjin Key Laboratory of Structure and Performance for Functional Molecules, Tianjin Normal University, Tianjin, 300387, PR China
| | - Hongming He
- College of Chemistry, Tianjin Key Laboratory of Structure and Performance for Functional Molecules, Tianjin Normal University, Tianjin, 300387, PR China.
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Karachaliou CE, Livaniou E. Immunosensors for Autoimmune-Disease-Related Biomarkers: A Literature Review. SENSORS (BASEL, SWITZERLAND) 2023; 23:6770. [PMID: 37571553 PMCID: PMC10422610 DOI: 10.3390/s23156770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Revised: 07/20/2023] [Accepted: 07/26/2023] [Indexed: 08/13/2023]
Abstract
Immunosensors are a special class of biosensors that employ specific antibodies for biorecognition of the target analyte. Immunosensors that target disease biomarkers may be exploited as tools for disease diagnosis and/or follow-up, offering several advantages over conventional analytical techniques, such as rapid and easy analysis of patients' samples at the point-of-care. Autoimmune diseases have been increasingly prevalent worldwide in recent years, while the COVID-19 pandemic has also been associated with autoimmunity. Consequently, demand for tools enabling the early and reliable diagnosis of autoimmune diseases is expected to increase in the near future. To this end, interest in immunosensors targeting autoimmune disease biomarkers, mainly, various autoantibodies and specific pro-inflammatory proteins (e.g., specific cytokines), has been rekindled. This review article presents most of the immunosensors proposed to date as potential tools for the diagnosis of various autoimmune diseases, such as type 1 diabetes, rheumatoid arthritis, and multiple sclerosis. The signal transduction and the immunoassay principles of each immunosensor have been suitably classified and are briefly presented along with certain sensor elements, e.g., special nano-sized materials used in the construction of the immunosensing surface. The main concluding remarks are presented and future perspectives of the field are also briefly discussed.
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Affiliation(s)
| | - Evangelia Livaniou
- Immunopeptide Chemistry Lab, Institute of Nuclear & Radiological Sciences & Technology, Energy & Safety, National Centre for Scientific Research ‘‘Demokritos”, P.O. Box 60037, 153 10 Agia Paraskevi, Greece;
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Gamboa J, Paulo-Mirasol S, Estrany F, Torras J. Recent Progress in Biomedical Sensors Based on Conducting Polymer Hydrogels. ACS APPLIED BIO MATERIALS 2023; 6:1720-1741. [PMID: 37115912 DOI: 10.1021/acsabm.3c00139] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/29/2023]
Abstract
Biosensors are increasingly taking a more active role in health science. The current needs for the constant monitoring of biomedical signals, as well as the growing spending on public health, make it necessary to search for materials with a combination of properties such as biocompatibility, electroactivity, resorption, and high selectivity to certain bioanalytes. Conducting polymer hydrogels seem to be a very promising materials, since they present many of the necessary properties to be used as biosensors. Furthermore, their properties can be shaped and enhanced by designing conductive polymer hydrogel-based composites with more specific functionalities depending on the end application. This work will review the recent state of the art of different biological hydrogels for biosensor applications, discuss the properties of the different components alone and in combination, and reveal their high potential as candidate materials in the fabrication of all-organic diagnostic, wearable, and implantable sensor devices.
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Affiliation(s)
- Jillian Gamboa
- Departament d'Enginyeria Química, EEBE, Universitat Politècnica de Catalunya, C/Eduard Maristany, 10-14, Ed. I.2, Barcelona 08019, Spain
| | - Sofia Paulo-Mirasol
- Departament d'Enginyeria Química, EEBE, Universitat Politècnica de Catalunya, C/Eduard Maristany, 10-14, Ed. I.2, Barcelona 08019, Spain
| | - Francesc Estrany
- Departament d'Enginyeria Química, EEBE, Universitat Politècnica de Catalunya, C/Eduard Maristany, 10-14, Ed. I.2, Barcelona 08019, Spain
| | - Juan Torras
- Departament d'Enginyeria Química, EEBE, Universitat Politècnica de Catalunya, C/Eduard Maristany, 10-14, Ed. I.2, Barcelona 08019, Spain
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