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Maru K, Singh A, Jangir R, Jangir KK. Amyloid detection in neurodegenerative diseases using MOFs. J Mater Chem B 2024; 12:4553-4573. [PMID: 38646795 DOI: 10.1039/d4tb00373j] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/23/2024]
Abstract
Neurodegenerative diseases (amyloid diseases such as Alzheimer's and Parkinson's), stemming from protein misfolding and aggregation, encompass a spectrum of disorders with severe systemic implications. Timely detection is pivotal in managing these diseases owing to their significant impact on organ function and high mortality rates. The diverse array of amyloid disorders, spanning localized and systemic manifestations, underscores the complexity of these conditions and highlights the need for advanced detection methods. Traditional approaches have focused on identifying biomarkers using imaging techniques (PET and MRI) or invasive procedures. However, recent efforts have focused on the use of metal-organic frameworks (MOFs), a versatile class of materials known for their unique properties, in revolutionizing amyloid disease detection. The high porosity, customizable structures, and biocompatibility of MOFs enable their integration with biomolecules, laying the groundwork for highly sensitive and specific biosensors. These sensors have been employed using electrochemical and photophysical techniques that target amyloid species under neurodegenerative conditions. The adaptability of MOFs allows for the precise detection and quantification of amyloid proteins, offering potential advancements in early diagnosis and disease management. This review article delves into how MOFs contribute to detecting amyloid diseases by categorizing their uses based on different sensing methods, such as electrochemical (EC), electrochemiluminescence (ECL), fluorescence, Förster resonance energy transfer (FRET), up-conversion luminescence resonance energy transfer (ULRET), and photoelectrochemical (PEC) sensing. The drawbacks of MOF biosensors and the challenges encountered in the field are also briefly explored from our perspective.
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Affiliation(s)
- Ketan Maru
- Sardar Vallabhbhai National Institute of Technology, Ichchanath, Surat-395 007, Gujarat, India.
| | - Amarendra Singh
- Sardar Vallabhbhai National Institute of Technology, Ichchanath, Surat-395 007, Gujarat, India.
| | - Ritambhara Jangir
- Sardar Vallabhbhai National Institute of Technology, Ichchanath, Surat-395 007, Gujarat, India.
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2
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Gallo-Orive Á, Moreno-Guzmán M, Sanchez-Paniagua M, Montero-Calle A, Barderas R, Escarpa A. Gold Nanoparticle-Decorated Catalytic Micromotor-Based Aptassay for Rapid Electrochemical Label-Free Amyloid-β42 Oligomer Determination in Clinical Samples from Alzheimer's Patients. Anal Chem 2024; 96:5509-5518. [PMID: 38551492 PMCID: PMC11007680 DOI: 10.1021/acs.analchem.3c05665] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Revised: 02/08/2024] [Accepted: 03/11/2024] [Indexed: 04/10/2024]
Abstract
Micromotor (MM) technology offers a valuable and smart on-the-move biosensing microscale approach in clinical settings where sample availability is scarce in the case of Alzheimer's disease (AD). Soluble amyloid-β protein oligomers (AβO) (mainly AβO42) that circulate in biological fluids have been recognized as a molecular biomarker and therapeutic target of AD due to their high toxicity, and they are correlated much more strongly with AD compared to the insoluble Aβ monomers. A graphene oxide (GO)-gold nanoparticles (AuNPs)/nickel (Ni)/platinum nanoparticles (PtNPs) micromotors (MMGO-AuNPs)-based electrochemical label-free aptassay is proposed for sensitive, accurate, and rapid determination of AβO42 in complex clinical samples such as brain tissue, cerebrospinal fluid (CSF), and plasma from AD patients. An approach that implies the in situ formation of AuNPs on the GO external layer of tubular MM in only one step during MM electrosynthesis was performed (MMGO-AuNPs). The AβO42 specific thiolated-aptamer (AptAβO42) was immobilized in the MMGO-AuNPs via Au-S interaction, allowing for the selective recognition of the AβO42 (MMGO-AuNPs-AptAβO42-AβO42). AuNPs were smartly used not only to covalently bind a specific thiolated-aptamer for the design of a label-free electrochemical aptassay but also to improve the final MM propulsion performance due to their catalytic activity (approximately 2.0× speed). This on-the-move bioplatform provided a fast (5 min), selective, precise (RSD < 8%), and accurate quantification of AβO42 (recoveries 94-102%) with excellent sensitivity (LOD = 0.10 pg mL-1) and wide linear range (0.5-500 pg mL-1) in ultralow volumes of the clinical sample of AD patients (5 μL), without any dilution. Remarkably, our MM-based bioplatform demonstrated the competitiveness for the determination of AβO42 in the target samples against the dot blot analysis, which requires more than 14 h to provide qualitative results only. It is also important to highlight its applicability to the potential analysis of liquid biopsies as plasma and CSF samples, improving the reliability of the diagnosis given the heterogeneity and temporal complexity of neurodegenerative diseases. The excellent results obtained demonstrate the analytical potency of our approach as a future tool for clinical/POCT (Point-of-care testing) routine scenarios.
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Affiliation(s)
- Álvaro Gallo-Orive
- Department
of Analytical Chemistry, Physical Chemistry and Chemical Engineering, University of Alcalá, Ctra. Madrid-Barcelona, Km. 33.600, 28802 Alcalá de Henares, Madrid, Spain
- Department
of Chemistry in Pharmaceutical Sciences, Faculty of Pharmacy, Complutense University of Madrid, Plaza Ramón y Cajal s/n, 28040 Moncloa-Aravaca, Madrid, Spain
| | - María Moreno-Guzmán
- Department
of Chemistry in Pharmaceutical Sciences, Faculty of Pharmacy, Complutense University of Madrid, Plaza Ramón y Cajal s/n, 28040 Moncloa-Aravaca, Madrid, Spain
| | - Marta Sanchez-Paniagua
- Department
of Chemistry in Pharmaceutical Sciences, Faculty of Pharmacy, Complutense University of Madrid, Plaza Ramón y Cajal s/n, 28040 Moncloa-Aravaca, Madrid, Spain
| | - Ana Montero-Calle
- Chronic
Disease Programme, UFIEC, Carlos III Health
Institute, 28220 Majadahonda, Madrid, Spain
| | - Rodrigo Barderas
- Chronic
Disease Programme, UFIEC, Carlos III Health
Institute, 28220 Majadahonda, Madrid, Spain
| | - Alberto Escarpa
- Department
of Analytical Chemistry, Physical Chemistry and Chemical Engineering, University of Alcalá, Ctra. Madrid-Barcelona, Km. 33.600, 28802 Alcalá de Henares, Madrid, Spain
- Chemical
Research Institute “Andrés M. Del Rio”, University of Alcalá, 28802 Alcalá de Henares, Madrid, Spain
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3
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Gao H, Chen J, Huang Y, Zhao R. Advances in targeted tracking and detection of soluble amyloid-β aggregates as a biomarker of Alzheimer's disease. Talanta 2024; 268:125311. [PMID: 37857110 DOI: 10.1016/j.talanta.2023.125311] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 10/09/2023] [Accepted: 10/13/2023] [Indexed: 10/21/2023]
Abstract
Misfolding and aggregation of amyloid-β (Aβ) peptides are key hallmarks of Alzheimer's disease (AD). With accumulating evidence suggesting that different Aβ species have varied neurotoxicity and implications in AD development, the discovery of affinity ligands and analytical approaches to selective distinguish, detect, and monitor Aβ becomes an active research area. Remarkable advances have been achieved, which not only promote our understanding of the biophysical chemistry of the protein aggregation during neurodegeneration, but also provide promising tools for early detection of the disease. In view of this, we summarize the recent progress in selective and sensitive approaches for tracking and detection of Aβ species. Specific attentions are given to soluble Aβ oligomers, due to their crucial roles in AD development and occurrence at early stages. The design principle, performance of targeting units, and their cooperative effects with signal reporters for Aβ analysis are discussed. The applications of the novel targeting probes and sensing systems for dynamic monitoring oligomerization, measuring Aβ in biosamples and in vivo imaging in brain are summarized. Finally, the perspective and challenges are discussed regarding the future development of Aβ-targeting analytical tools to explore the unknown field to contribute to the early diagnosis and treatment of AD.
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Affiliation(s)
- Han Gao
- Beijing National Laboratory for Molecular Sciences, CAS Key Laboratory of Analytical Chemistry for Living Biosystems, CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences, Beijing, 100190, China; School of Chemical Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Jian Chen
- Beijing National Laboratory for Molecular Sciences, CAS Key Laboratory of Analytical Chemistry for Living Biosystems, CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences, Beijing, 100190, China; School of Chemical Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yanyan Huang
- Beijing National Laboratory for Molecular Sciences, CAS Key Laboratory of Analytical Chemistry for Living Biosystems, CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences, Beijing, 100190, China; School of Chemical Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China.
| | - Rui Zhao
- Beijing National Laboratory for Molecular Sciences, CAS Key Laboratory of Analytical Chemistry for Living Biosystems, CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences, Beijing, 100190, China; School of Chemical Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China.
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4
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Cruz-Pacheco AF, Quinchia J, Orozco J. Nanostructured poly(thiophene acetic acid)/Au/poly(methylene blue) interface for electrochemical immunosensing of p53 protein. Mikrochim Acta 2023; 190:136. [PMID: 36920574 DOI: 10.1007/s00604-023-05683-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Accepted: 01/30/2023] [Indexed: 03/16/2023]
Abstract
A poly(thiophene acetic acid)/Au/poly(methylene blue) nanostructured interface was electrochemically assembled step-by-step on screen-printed carbon electrodes (SPCE) for label-free detection of p53 protein. The initial electrical conductive properties of the polymeric interface were increased with an additional layer of poly(methylene blue) electropolymerized in the presence of gold nanoparticles. The nano-immunosensing architecture was prepared by covalent immobilization of anti-p53 antibodies as bioreceptors through the poly(thiophene acetic acid) moieties. The nano-immunosensor assembly was extensively characterized by ultraviolet-visible spectrophotometry, dynamic and electrophoretic light scattering, scanning electron microscopy, X-ray photoelectron spectroscopy, Raman spectroscopy, atomic force microscopy, cyclic voltammetry, and electrochemical impedance spectroscopy. Under optimal conditions, p53 was specifically and selectively detected by square wave voltammetry in a linear range between 1 and 100 ng mL-1 with a limit of detection of 0.65 ng mL-1. In addition, the electrochemical nano-immunosensor detected p53 in spiked human serum samples and colorectal cancer cell lysates, and the results were validated with a standard spectrophotometric method using a paired samples t test, which did not exhibit significant differences between both methods. The resultant p53 nano-immunosensor is simple to assemble, robust, and has the potential for point-of-care biomarker detection applications.
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Affiliation(s)
- Andrés F Cruz-Pacheco
- Max Planck Tandem Group in Nanobioengineering, Institute of Chemistry, Faculty of Natural and Exact Sciences, University of Antioquia, Complejo Ruta N, Calle 67 No. 52-20, 050010, Medellín, Colombia
| | - Jennifer Quinchia
- Max Planck Tandem Group in Nanobioengineering, Institute of Chemistry, Faculty of Natural and Exact Sciences, University of Antioquia, Complejo Ruta N, Calle 67 No. 52-20, 050010, Medellín, Colombia
| | - Jahir Orozco
- Max Planck Tandem Group in Nanobioengineering, Institute of Chemistry, Faculty of Natural and Exact Sciences, University of Antioquia, Complejo Ruta N, Calle 67 No. 52-20, 050010, Medellín, Colombia.
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5
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A simple and sensitive electrochemical sensor for the detection of peptidase activity. Anal Bioanal Chem 2023; 415:2209-2215. [PMID: 36856821 DOI: 10.1007/s00216-023-04628-4] [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: 01/02/2023] [Revised: 02/21/2023] [Accepted: 02/23/2023] [Indexed: 03/02/2023]
Abstract
In this work, a simple and sensitive electrochemical sensor was proposed for the detection of β-site amyloid precursor protein cleaving enzyme 1 (BACE1) activity. Firstly, the BACE1 specific peptide was modified onto the Au electrode to graft a single-strand DNA with polycytosine DNA sequence (dC12) via amide bonding between peptide and dC12. Because the dC12 is abundant in phosphate groups, thus it can react with molybdate to form redox molybdophosphate, which can generate electrochemical current. Using BACE1 as a model peptidase, the proposed sensor shows a linear response range from 1 to 15 U/mL and limit of detection down to 0.05 U/mL. The sensor displays good performance for the BACE1 activity detection in human serum samples, which may have potential applications in the clinical diagnostics of Alzheimer's disease.
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6
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Zhang X, Tan X, Wang P, Qin J. Application of Polypyrrole-Based Electrochemical Biosensor for the Early Diagnosis of Colorectal Cancer. NANOMATERIALS (BASEL, SWITZERLAND) 2023; 13:674. [PMID: 36839042 PMCID: PMC9967576 DOI: 10.3390/nano13040674] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Revised: 02/06/2023] [Accepted: 02/06/2023] [Indexed: 06/18/2023]
Abstract
Although colorectal cancer (CRC) is easy to treat surgically and can be combined with postoperative chemotherapy, its five-year survival rate is still not optimistic. Therefore, developing sensitive, efficient, and compliant detection technology is essential to diagnose CRC at an early stage, providing more opportunities for effective treatment and intervention. Currently, the widely used clinical CRC detection methods include endoscopy, stool examination, imaging modalities, and tumor biomarker detection; among them, blood biomarkers, a noninvasive strategy for CRC screening, have shown significant potential for early diagnosis, prediction, prognosis, and staging of cancer. As shown by recent studies, electrochemical biosensors have attracted extensive attention for the detection of blood biomarkers because of their advantages of being cost-effective and having sound sensitivity, good versatility, high selectivity, and a fast response. Among these, nano-conductive polymer materials, especially the conductive polymer polypyrrole (PPy), have been broadly applied to improve sensing performance due to their excellent electrical properties and the flexibility of their surface properties, as well as their easy preparation and functionalization and good biocompatibility. This review mainly discusses the characteristics of PPy-based biosensors, their synthetic methods, and their application for the detection of CRC biomarkers. Finally, the opportunities and challenges related to the use of PPy-based sensors for diagnosing CRC are also discussed.
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7
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Ultrasensitive electrochemiluminescence immunosensor based on Co-doped MoOx as co-reactant generator for the detection of amyloid β-protein. Microchem J 2022. [DOI: 10.1016/j.microc.2022.108036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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8
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Chen J, Zhou Z, Luo S, Liu G, Xiang J, Tian Z. Progress of advanced nanomaterials in diagnosis of neurodegenerative diseases. Biosens Bioelectron 2022; 217:114717. [PMID: 36179434 DOI: 10.1016/j.bios.2022.114717] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Revised: 08/25/2022] [Accepted: 09/10/2022] [Indexed: 12/22/2022]
Abstract
Neurodegenerative diseases (NDDs) encompass a wide range of clinically and pathologically diverse diseases characterized by progressive long-term cognitive decline, memory and function loss in daily life. Due to the lack of effective drugs and therapeutic strategies for preventing or delaying neurodegenerative progression, it is urgent to diagnose NDDs as early and accurately as possible. Nanomaterials, emerged as one of the most promising materials in the 21st century, have been widely applied and play a significant role in diagnosis and treatment of NDDs because of their remarkable properties including stability, prominent biocompatibility, unique structure, novel physical and chemical characteristics. In this review, we outlined general strategies for the application of different types of advanced materials in early and staged diagnosis of NDDs in vivo and in vitro. According to applied technology, in vivo research mainly involves magnetic resonance, fluorescence, and surface enhanced Raman imaging on structures of brain tissues, cerebral vessels and related distributions of biomarkers. In vitro research is focused on the detection of fluid biomarkers in cerebrospinal fluid and peripheral blood based on fluorescence, electrochemical, Raman and surface plasmon resonance techniques. Finally, we discussed the current challenges and future perspectives of biomarker-based NDDs diagnosis as well as potential applications regarding advanced nanomaterials.
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Affiliation(s)
- Jia Chen
- Hunan Provincial Key Laboratory of Micro & Nano Materials Interface Science, College of Chemistry and Chemical Engineering, Central South University, Changsha, 410083, PR China
| | - Zhifang Zhou
- State Key Laboratory of Marine Environmental Science, Fujian Provincial Key Laboratory for Coastal Ecology and Environmental Studies, Center for Marine Environmental Chemistry & Toxicology, College of the Environment and Ecology, Xiamen University, Xiamen, 361102, China
| | - Siheng Luo
- State Key Laboratory of Marine Environmental Science, Fujian Provincial Key Laboratory for Coastal Ecology and Environmental Studies, Center for Marine Environmental Chemistry & Toxicology, College of the Environment and Ecology, Xiamen University, Xiamen, 361102, China
| | - Guokun Liu
- State Key Laboratory of Marine Environmental Science, Fujian Provincial Key Laboratory for Coastal Ecology and Environmental Studies, Center for Marine Environmental Chemistry & Toxicology, College of the Environment and Ecology, Xiamen University, Xiamen, 361102, China
| | - Juan Xiang
- Hunan Provincial Key Laboratory of Micro & Nano Materials Interface Science, College of Chemistry and Chemical Engineering, Central South University, Changsha, 410083, PR China; National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Central South University, Changsha, 410083, PR China.
| | - Zhongqun Tian
- State Key Laboratory for Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, Fujian, 361005, China.
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9
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Polymer–Metal Composite Healthcare Materials: From Nano to Device Scale. JOURNAL OF COMPOSITES SCIENCE 2022. [DOI: 10.3390/jcs6080218] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
Metals have been investigated as biomaterials for a wide range of medical applications. At nanoscale, some metals, such as gold nanoparticles, exhibit plasmonics, which have motivated researchers’ focus on biosensor development. At the device level, some metals, such as titanium, exhibit good physical properties, which could allow them to act as biomedical implants for physical support. Despite these attractive features, the non-specific delivery of metallic nanoparticles and poor tissue–device compatibility have greatly limited their performance. This review aims to illustrate the interplay between polymers and metals, and to highlight the pivotal role of polymer–metal composite/nanocomposite healthcare materials in different biomedical applications. Here, we revisit the recent plasmonic engineered platforms for biomolecules detection in cell-free samples and highlight updated nanocomposite design for (1) intracellular RNA detection, (2) photothermal therapy, and (3) nanomedicine for neurodegenerative diseases, as selected significant live cell–interactive biomedical applications. At the device scale, the rational design of polymer–metallic medical devices is of importance for dental and cardiovascular implantation to overcome the poor physical load transfer between tissues and devices, as well as implant compatibility under a dynamic fluidic environment, respectively. Finally, we conclude the treatment of these innovative polymer–metal biomedical composite designs and provide a future perspective on the aforementioned research areas.
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10
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Zhao JG, Cao J, Wang WZ. Peptide-Based Electrochemical Biosensors and Their Applications in Disease Detection. JOURNAL OF ANALYSIS AND TESTING 2022. [DOI: 10.1007/s41664-022-00226-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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11
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Potentiometric Biosensor Based on Artificial Antibodies for an Alzheimer Biomarker Detection. APPLIED SCIENCES-BASEL 2022. [DOI: 10.3390/app12073625] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
This paper presents a potentiometric biosensor for the detection of amyloid β-42 (Aβ-42) in point-of-care analysis. This approach is based on the molecular imprint polymer (MIP) technique, which uses covalently immobilised Aβ-42 to create specific detection cavities on the surface of single-walled carbon nanotubes (SWCNTs). The biosensor was prepared by binding Aβ-42 to the SWCNT surface and then imprinting it by adding acrylamide (monomer), N,N’-methylene-bis-acrylamide (crosslinker) and ammonium persulphate (initiator). The target peptide was removed from the polymer matrix by the proteolytic action of an enzyme (proteinase K). The presence of imprinting sites was confirmed by comparing a MIP-modified surface with a negative control (NIP) consisting of a similar material where the target molecule had been removed from the process. The ability of the sensing material to rebind Aβ-42 was demonstrated by incorporating the MIP material as an electroactive compound in a PVC/plasticiser mixture applied to a solid conductive support of graphite. All steps of the synthesis of the imprinted materials were followed by Raman spectroscopy and Fourier transform infrared spectroscopy (FTIR). The analytical performance was evaluated by potentiometric transduction, and the MIP material showed cationic slopes of 75 mV-decade−1 in buffer pH 8.0 and a detection limit of 0.72 μg/mL. Overall, potentiometric transduction confirmed that the sensor can discriminate Aβ-42 in the presence of other biomolecules in the same solution.
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12
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Zare I, Yaraki MT, Speranza G, Najafabadi AH, Haghighi AS, Nik AB, Manshian BB, Saraiva C, Soenen SJ, Kogan MJ, Lee JW, Apollo NV, Bernardino L, Araya E, Mayer D, Mao G, Hamblin MR. Gold nanostructures: synthesis, properties, and neurological applications. Chem Soc Rev 2022; 51:2601-2680. [PMID: 35234776 DOI: 10.1039/d1cs01111a] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Recent advances in technology are expected to increase our current understanding of neuroscience. Nanotechnology and nanomaterials can alter and control neural functionality in both in vitro and in vivo experimental setups. The intersection between neuroscience and nanoscience may generate long-term neural interfaces adapted at the molecular level. Owing to their intrinsic physicochemical characteristics, gold nanostructures (GNSs) have received much attention in neuroscience, especially for combined diagnostic and therapeutic (theragnostic) purposes. GNSs have been successfully employed to stimulate and monitor neurophysiological signals. Hence, GNSs could provide a promising solution for the regeneration and recovery of neural tissue, novel neuroprotective strategies, and integrated implantable materials. This review covers the broad range of neurological applications of GNS-based materials to improve clinical diagnosis and therapy. Sub-topics include neurotoxicity, targeted delivery of therapeutics to the central nervous system (CNS), neurochemical sensing, neuromodulation, neuroimaging, neurotherapy, tissue engineering, and neural regeneration. It focuses on core concepts of GNSs in neurology, to circumvent the limitations and significant obstacles of innovative approaches in neurobiology and neurochemistry, including theragnostics. We will discuss recent advances in the use of GNSs to overcome current bottlenecks and tackle technical and conceptual challenges.
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Affiliation(s)
- Iman Zare
- Research and Development Department, Sina Medical Biochemistry Technologies Co. Ltd., Shiraz 7178795844, Iran
| | | | - Giorgio Speranza
- CMM - FBK, v. Sommarive 18, 38123 Trento, Italy.,IFN - CNR, CSMFO Lab., via alla Cascata 56/C Povo, 38123 Trento, Italy.,Department of Industrial Engineering, University of Trento, v. Sommarive 9, 38123 Trento, Italy
| | - Alireza Hassani Najafabadi
- Terasaki Institute for Biomedical Innovation (TIBI), Los Angeles, CA 90064, USA.,Department of Pharmaceutical Sciences, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Alireza Shourangiz Haghighi
- Department of Mechanical Engineering, Shiraz University of Technology, Modarres Boulevard, 13876-71557, Shiraz, Iran
| | - Amirala Bakhshian Nik
- Department of Biomedical Engineering, Florida International University, Miami, FL 33174, USA
| | - Bella B Manshian
- Translational Cell and Tissue Research Unit, Department of Imaging and Pathology, KU Leuven, Herestraat 49, B3000 Leuven, Belgium
| | - Cláudia Saraiva
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, 7 Avenue des Hauts-Fourneaux, 4362 Esch-sur-Alzette, Luxembourg.,Health Sciences Research Centre (CICS-UBI), University of Beira Interior, Rua Marques d'Avila e Bolama, 6201-001 Covilha, Portugal
| | - Stefaan J Soenen
- NanoHealth and Optical Imaging Group, Department of Imaging and Pathology, KU Leuven, Herestraat 49, B3000 Leuven, Belgium
| | - Marcelo J Kogan
- Advanced Center for Chronic Diseases (ACCDiS), Facultad de Ciencias Químicas y Farmacéuticas, Departamento de Química Farmacológica y Toxicológica, Universidad de Chile, 8380492 Santiago, Chile
| | - Jee Woong Lee
- Department of Medical Sciences, Clinical Neurophysiology, Uppsala University, Uppsala, SE-751 23, Sweden
| | - Nicholas V Apollo
- Center for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA.,School of Physics, University of Melbourne, Parkville, Victoria 3010, Australia
| | - Liliana Bernardino
- Health Sciences Research Centre (CICS-UBI), University of Beira Interior, Rua Marques d'Avila e Bolama, 6201-001 Covilha, Portugal
| | - Eyleen Araya
- Departamento de Ciencias Quimicas, Facultad de Ciencias Exactas, Universidad Andres Bello, Av. Republica 275, Santiago, Chile
| | - Dirk Mayer
- Institute of Biological Information Processing, Bioelectronics (IBI-3), Forschungszentrum Jülich GmbH, Germany
| | - Guangzhao Mao
- School of Chemical Engineering, University of New South Wales (UNSW Sydney), Sydney, NSW 2052, Australia
| | - Michael R Hamblin
- Laser Research Center, University of Johannesburg, Doorfontein 2028, South Africa.
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Nesakumar N, Lakshmanakumar M, Srinivasan S, Jayalatha JBB A, Balaguru Rayappan JB. Principles and Recent Advances in Biosensors for Pathogens Detection. ChemistrySelect 2021. [DOI: 10.1002/slct.202101062] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Affiliation(s)
- Noel Nesakumar
- Centre for Nanotechnology & Advanced Biomaterials (CeNTAB) SASTRA Deemed University Thanjavur 613 401 Tamil Nadu India
- School of Chemical and Biotechnology SASTRA Deemed University Thanjavur 613 401 Tamil Nadu India
| | - Muthaiyan Lakshmanakumar
- Centre for Nanotechnology & Advanced Biomaterials (CeNTAB) SASTRA Deemed University Thanjavur 613 401 Tamil Nadu India
- School of Electrical & Electronics Engineering SASTRA Deemed University Thanjavur 613 401 Tamil Nadu India
| | - Soorya Srinivasan
- School of Electrical & Electronics Engineering SASTRA Deemed University Thanjavur 613 401 Tamil Nadu India
| | - Arockia Jayalatha JBB
- School of Electrical & Electronics Engineering SASTRA Deemed University Thanjavur 613 401 Tamil Nadu India
| | - John Bosco Balaguru Rayappan
- Centre for Nanotechnology & Advanced Biomaterials (CeNTAB) SASTRA Deemed University Thanjavur 613 401 Tamil Nadu India
- School of Electrical & Electronics Engineering SASTRA Deemed University Thanjavur 613 401 Tamil Nadu India
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14
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Hanif S, Muhammad P, Niu Z, Ismail M, Morsch M, Zhang X, Li M, Shi B. Nanotechnology‐Based Strategies for Early Diagnosis of Central Nervous System Disorders. ADVANCED NANOBIOMED RESEARCH 2021. [DOI: 10.1002/anbr.202100008] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Affiliation(s)
- Sumaira Hanif
- Henan-Macquarie University Joint Centre for Biomedical Innovation School of Life Sciences Henan University Kaifeng Henan 475004 China
| | - Pir Muhammad
- Henan-Macquarie University Joint Centre for Biomedical Innovation School of Life Sciences Henan University Kaifeng Henan 475004 China
| | - Zheng Niu
- Province's Key Lab of Brain Targeted Bionanomedicine School of Pharmacy Henan University Kaifeng Henan 475004 China
| | - Muhammad Ismail
- Henan-Macquarie University Joint Centre for Biomedical Innovation School of Life Sciences Henan University Kaifeng Henan 475004 China
| | - Marco Morsch
- Department of Biomedical Sciences Macquarie University Centre for Motor Neuron Disease Research Macquarie University NSW 2109 Australia
| | - Xiaoju Zhang
- Department of Respiratory and Critical Care Medicine Henan Provincial People's Hospital Zhengzhou Henan 450003 China
| | - Mingqiang Li
- Laboratory of Biomaterials and Translational Medicine The Third Affiliated Hospital Sun Yat-sen University Guangzhou Guangdong 510630 China
| | - Bingyang Shi
- Department of Biomedical Sciences Faculty of Medicine & Health & Human Sciences Macquarie University NSW 2109 Australia
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15
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Wang W, Han R, Tang K, Zhao S, Ding C, Luo X. Biocompatible peptide hydrogels with excellent antibacterial and catalytic properties for electrochemical sensing application. Anal Chim Acta 2021; 1154:338295. [DOI: 10.1016/j.aca.2021.338295] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Revised: 01/31/2021] [Accepted: 02/02/2021] [Indexed: 10/22/2022]
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16
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Qiu Z, Shen Q, Jiang C, Yao L, Sun X, Li J, Duan C, Li R, Li X, Gopinath SCB, Anbu P, Lakshmipriya T, Li X. Alzheimer's Disease Determination by a Dual Probe on Gold Nanourchins and Nanohorn Hybrids. Int J Nanomedicine 2021; 16:2311-2322. [PMID: 33776435 PMCID: PMC7989959 DOI: 10.2147/ijn.s302396] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Accepted: 03/01/2021] [Indexed: 12/16/2022] Open
Abstract
Background Alzheimer’s disease (AD) is a neurodegenerative chronic disorder that causes dementia and problems in thinking, cognitive impairment and behavioral changes. Amyloid-beta (Aβ) is a peptide involved in AD progression, and a high level of Aβ is highly correlated with severe AD. Identifying and quantifying Aβ levels helps in the early treatment of AD and reduces the factors associated with AD. Materials and Methods This research introduced a dual probe detection system involving aptamers and antibodies to identify Aβ. Aptamers and antibodies were attached to the gold (Au) urchin and hybrid on the carbon nanohorn-modified surface. The nanohorn was immobilized on the sensor surface by using an amine linker, and then a Au urchin dual probe was immobilized. Results This dual probe-modified surface enhanced the current flow during Aβ detection compared with the surface with antibody as the probe. This dual probe interacted with higher numbers of Aβ peptides and reached the detection limit at 10 fM with R2=0.992. Furthermore, control experiments with nonimmune antibodies, complementary aptamer sequences and control proteins did not display the current responses, indicating the specific detection of Aβ. Conclusion Aβ-spiked artificial cerebrospinal fluid showed a similar response to current changes, confirming the selective identification of Aβ.
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Affiliation(s)
- Zhengguo Qiu
- Department of Anesthesiology, Affiliated Hospital of Shaanxi University of Traditional Chinese Medicine, Xianyang, Shaanxi, 712000, People's Republic of China
| | - Qianhe Shen
- Department of Anesthesiology, Xi'an GemFlower Changqing Hospital, Xi'an, Shaanxi, 710200, People's Republic of China
| | - Chao Jiang
- The Third Department of Neurology, The Second Affiliated Hospital of Xi'an Medical University, Xi'an, Shaanxi, 710038, People's Republic of China
| | - Li Yao
- Department of Neurology, The Hospital of Xidian Group, Xi'an, Shaanxi, 710077, People's Republic of China
| | - Xiaopeng Sun
- Department of Otolaryngology, The Second Affiliated Hospital of Xi'an Medical University, Xi'an, Shaanxi, 710038, People's Republic of China
| | - Jing Li
- Department of Anesthesiology, The Second Affiliated Hospital of Xi'an Medical University, Xi'an, Shaanxi, 710038, People's Republic of China
| | - Chongzhen Duan
- Department of Anesthesiology, Affiliated Hospital of Shaanxi University of Traditional Chinese Medicine, Xianyang, Shaanxi, 712000, People's Republic of China
| | - Rui Li
- Department of Anesthesiology, Affiliated Hospital of Shaanxi University of Traditional Chinese Medicine, Xianyang, Shaanxi, 712000, People's Republic of China
| | - Xiuli Li
- Department of Anesthesiology, Affiliated Hospital of Shaanxi University of Traditional Chinese Medicine, Xianyang, Shaanxi, 712000, People's Republic of China
| | - Subash C B Gopinath
- Faculty of Chemical Engineering Technology, Universiti Malaysia Perlis (UniMAP), Arau, Perlis, 02600, Malaysia.,Institute of Nano Electronic Engineering, Universiti Malaysia Perlis (UniMAP), Kangar, 01000, Malaysia
| | - Periasamy Anbu
- Department of Biological Engineering, College of Engineering, Inha University, Incheon, 402-751, Republic of Korea
| | - Thangavel Lakshmipriya
- Institute of Nano Electronic Engineering, Universiti Malaysia Perlis (UniMAP), Kangar, 01000, Malaysia
| | - Xu Li
- Department of Surgery and Anesthesiology, Xi'an Hospital of Traditional Chinese Medicine, Xi'an, Shaanxi, People's Republic of China
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17
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Karki HP, Jang Y, Jung J, Oh J. Advances in the development paradigm of biosample-based biosensors for early ultrasensitive detection of alzheimer's disease. J Nanobiotechnology 2021; 19:72. [PMID: 33750392 PMCID: PMC7945670 DOI: 10.1186/s12951-021-00814-7] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Accepted: 02/25/2021] [Indexed: 02/07/2023] Open
Abstract
This review highlights current developments, challenges, and future directions for the use of invasive and noninvasive biosample-based small biosensors for early diagnosis of Alzheimer's disease (AD) with biomarkers to incite a conceptual idea from a broad number of readers in this field. We provide the most promising concept about biosensors on the basis of detection scale (from femto to micro) using invasive and noninvasive biosamples such as cerebrospinal fluid (CSF), blood, urine, sweat, and tear. It also summarizes sensor types and detailed analyzing techniques for ultrasensitive detection of multiple target biomarkers (i.e., amyloid beta (Aβ) peptide, tau protein, Acetylcholine (Ach), microRNA137, etc.) of AD in terms of detection ranges and limit of detections (LODs). As the most significant disadvantage of CSF and blood-based detection of AD is associated with the invasiveness of sample collection which limits future strategy with home-based early screening of AD, we extensively reviewed the future trend of new noninvasive detection techniques (such as optical screening and bio-imaging process). To overcome the limitation of non-invasive biosamples with low concentrations of AD biomarkers, current efforts to enhance the sensitivity of biosensors and discover new types of biomarkers using non-invasive body fluids are presented. We also introduced future trends facing an infection point in early diagnosis of AD with simultaneous emergence of addressable innovative technologies.
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Affiliation(s)
- Hem Prakash Karki
- Department of Mechanical Design Engineering, College of Engineering, Jeonbuk National University, Jeonju, 54896, South Korea
| | - Yeongseok Jang
- Department of Mechanical Design Engineering, College of Engineering, Jeonbuk National University, Jeonju, 54896, South Korea
| | - Jinmu Jung
- Department of Mechanical Design Engineering, College of Engineering, Jeonbuk National University, Jeonju, 54896, South Korea.
- Department of Nano-bio Mechanical System Engineering, College of Engineering, Jeonbuk National University, Jeonju, 54896, South Korea.
| | - Jonghyun Oh
- Department of Mechanical Design Engineering, College of Engineering, Jeonbuk National University, Jeonju, 54896, South Korea.
- Department of Nano-bio Mechanical System Engineering, College of Engineering, Jeonbuk National University, Jeonju, 54896, South Korea.
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18
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Song Z, Zhou Y, Han X, Qin J, Tang X. Recent advances in enzymeless-based electrochemical sensors to diagnose neurodegenerative diseases. J Mater Chem B 2021; 9:1175-1188. [PMID: 33458727 DOI: 10.1039/d0tb02745f] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
The use of sensitive electrochemical sensors to detect biomarkers is an effective method for the early diagnosis of several neurodegenerative diseases (NDs), such as Alzheimer's disease, Parkinson's disease, Huntington's disease, amyotrophic lateral sclerosis, etc. However, the commercialization of enzyme/aptamer-based sensors is still hampered owing to the historic drawbacks of biorecognition elements including high cost, poor stability, and complex integration technology. Non-enzymatic electrochemical sensors are more attractive compared to their traditional counterparts and can be widely harnessed owing to their low cost, high stability, sensitivity, and ease of miniaturization. This review summarizes recent research progress focusing on the construction of non-enzymatic electrochemical sensors and analyzes their present use in the early diagnosis of NDs. Additionally, this review addresses the limitations and challenges of the use of current non-enzymatic electrochemical sensor technologies for the diagnosis of NDs and highlights the possible directions for future research.
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Affiliation(s)
- Zeyu Song
- Institute of Engineering Medicine, School of Life Science, Beijing Institute of Technology, Beijing 100081, China.
| | - Ying Zhou
- Institute of Engineering Medicine, School of Life Science, Beijing Institute of Technology, Beijing 100081, China.
| | - Xiao Han
- Institute of Engineering Medicine, School of Life Science, Beijing Institute of Technology, Beijing 100081, China.
| | - Jieling Qin
- Tongji University Cancer Center, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai 200092, China.
| | - Xiaoying Tang
- Institute of Engineering Medicine, School of Life Science, Beijing Institute of Technology, Beijing 100081, China.
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19
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Kim S, Cho M, Lee Y. Point-of-Care Platform for Early Diagnosis of Parkinson's Disease. ACS APPLIED BIO MATERIALS 2020; 3:8997-9001. [PMID: 35019576 DOI: 10.1021/acsabm.0c01242] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
We created a cost-benefit analysis and swift point-of-care (PoC) testing for early stage Parkinson's disease (PD) that delivers the possibility of providing sensitive, rapid, and user-friendly analysis in home diagnostics applications. α-Synuclein (α-Syn) is considered a meaningful biomarker for the diagnosis of early stage PD. The PoC platform for diagnosis of PD is simply constructed with a conductive polymer and an aptamer receptor on a screen-printed electrode and exhibits a remarkable low detection limit of 1 × 10-3 fM. The developed PoC platform will offer an opportunity for individuals to conveniently and periodically check the progress of the diseases and success through expansion as a checkup platform for other diseases.
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Affiliation(s)
- Soochan Kim
- School of Chemical Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea
| | - Misuk Cho
- School of Chemical Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea
| | - Youngkwan Lee
- School of Chemical Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea
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20
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Zhao J, Chang W, Liu L, Xing X, Zhang C, Meng H, Gopinath SCB, Lakshmipriya T, Chen Y, Liu Y. Graphene oxide-gold nanoparticle-aptamer complexed probe for detecting amyloid beta oligomer by ELISA-based immunoassay. J Immunol Methods 2020; 489:112942. [PMID: 33333060 DOI: 10.1016/j.jim.2020.112942] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2020] [Revised: 11/11/2020] [Accepted: 12/08/2020] [Indexed: 11/17/2022]
Abstract
Highly sensitive and easy detection method for Alzheimer's disease (AD) with a suitable biomarker is mandatory for preventing the factors resulting from AD. This research reports a modified ELISA with graphene for the detection of AD biomarker amyloid beta (Aβ) oligomer. Gold nanoparticle (AuNP) conjugated aptamer was used as the capture probe and attached on ELISA-graphene oxide surface through the amine linker. Antibody was used as the detection molecule to reach the maximum detection of Aβ oligomer. Suitable level of APTMS (2%), size of AuNP (30 nm) and aptamer concentration (2 μM) were optimized. This sandwich pattern of aptamer-Aβ oligomer-antibody helps to reach the detection at 50 pM on the optimized ELISA surface and the control experiments in the absence of Aβ oligomer or anti-Aβ oligomer antibody did not show the significant optical detection at 492 nm, indicting the specific detection. Further, Aβ oligomer spiked artificial cerebrospinal fluid did not interfere the detection of Aβ oligomer, confirming the selective detection. This new and modified ELISA surface helps to reach the lower detection of Aβ oligomer and diagnose AD.
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Affiliation(s)
- Jing Zhao
- Department of First Neurology, Baoding No.1 Central hospital, Baoding, Hebei 071000, China.
| | - Wenlong Chang
- Endocrine laboratory, Baoding No.1 Central hospital, Baoding, Hebei 071000, China
| | - Lu Liu
- Department of Clinical Psychology, Baoding No.1 Central hospital, Baoding, Hebei 071000, China
| | - Xiaoming Xing
- Department of First Neurology, Baoding No.1 Central hospital, Baoding, Hebei 071000, China
| | - Chao Zhang
- Department of First Neurology, Baoding No.1 Central hospital, Baoding, Hebei 071000, China
| | - Huihong Meng
- Department of First Neurology, Baoding No.1 Central hospital, Baoding, Hebei 071000, China
| | - Subash C B Gopinath
- Faculty of Chemical Engineering Technology, Universiti Malaysia Perlis (UniMAP), Perlis, Malaysia; Institute of Nano Electronic Engineering, 01000 Kangar, Universiti Malaysia Perlis (UniMAP), Perlis, Malaysia
| | - Thangavel Lakshmipriya
- Institute of Nano Electronic Engineering, 01000 Kangar, Universiti Malaysia Perlis (UniMAP), Perlis, Malaysia
| | - Yeng Chen
- Department of Oral & Craniofacial Sciences, Faculty of Dentistry, University of Malaya, 50603 Kuala Lumpur, Malaysia
| | - Yonggang Liu
- Department of First Neurology, Baoding No.1 Central hospital, Baoding, Hebei 071000, China.
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21
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22
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Toyos-Rodríguez C, García-Alonso FJ, de la Escosura-Muñiz A. Electrochemical Biosensors Based on Nanomaterials for Early Detection of Alzheimer's Disease. SENSORS (BASEL, SWITZERLAND) 2020; 20:E4748. [PMID: 32842632 PMCID: PMC7506792 DOI: 10.3390/s20174748] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Revised: 08/18/2020] [Accepted: 08/19/2020] [Indexed: 12/12/2022]
Abstract
Alzheimer's disease (AD) is an untreatable neurodegenerative disease that initially manifests as difficulty to remember recent events and gradually progresses to cognitive impairment. The incidence of AD is growing yearly as life expectancy increases, thus early detection is essential to ensure a better quality of life for diagnosed patients. To reach that purpose, electrochemical biosensing has emerged as a cost-effective alternative to traditional diagnostic techniques, due to its high sensitivity and selectivity. Of special relevance is the incorporation of nanomaterials in biosensors, as they contribute to enhance electron transfer while promoting the immobilization of biological recognition elements. Moreover, nanomaterials have also been employed as labels, due to their unique electroactive and electrocatalytic properties. The aim of this review is to add value in the advances achieved in the detection of AD biomarkers, the strategies followed for the incorporation of nanomaterials and its effect in biosensors performance.
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Affiliation(s)
- Celia Toyos-Rodríguez
- NanoBioAnalysis Group-Department of Physical and Analytical Chemistry, University of Oviedo, Julián Clavería 8, 33006 Oviedo, Spain;
- Biotechnology Institute of Asturias, University of Oviedo, Santiago Gascon Building, 33006 Oviedo, Spain;
| | - Francisco Javier García-Alonso
- Biotechnology Institute of Asturias, University of Oviedo, Santiago Gascon Building, 33006 Oviedo, Spain;
- NanoBioAnalysis Group-Department of Organic and Inorganic Chemistry, University of Oviedo, Julián Clavería 8, 33006 Oviedo, Spain
| | - Alfredo de la Escosura-Muñiz
- NanoBioAnalysis Group-Department of Physical and Analytical Chemistry, University of Oviedo, Julián Clavería 8, 33006 Oviedo, Spain;
- Biotechnology Institute of Asturias, University of Oviedo, Santiago Gascon Building, 33006 Oviedo, Spain;
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23
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Martín Várguez P, Brunel F, Raimundo JM. Recent Electrochemical/Electrical Microfabricated Sensor Devices for Ionic and Polyionic Analytes. ACS OMEGA 2020; 5:4733-4742. [PMID: 32201758 PMCID: PMC7081253 DOI: 10.1021/acsomega.9b04331] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/17/2019] [Accepted: 02/12/2020] [Indexed: 05/06/2023]
Abstract
The recent technological advances combined with the development of new concepts and strategies have revolutionized the field of sensor devices, allowing access to increasingly sophisticated device structures associated with high sensitivities and selectivities. Among them, electrochemical and electrical sensors have gained the most interest because they offer unique intrinsic characteristics and meet the requirements to be integrated in more sophisticated devices including microfluidics or lab-on-chips, opening access to multiplex and all-in-one detection devices. In the present article, we outline and provide a short and concise overview on the most recent achievements in the field of electrical detection of ionic species as they display versatile roles in many important biological events and are ubiquitous in environment.
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24
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Yang R, Liu JL, Chai YQ, Yuan R. MnO x MFs as a coreaction accelerator for the construction of a novel ternary electrochemiluminescence system: ultrasensitive detection of microRNA. Chem Commun (Camb) 2020; 56:976-979. [PMID: 31859315 DOI: 10.1039/c9cc08433a] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
By using multivalent manganese oxides microflowers (MnOx MFs) as prominent a coreaction accelerator in luminol/dissolved oxygen system, and by combining these with DNA nanostructures for efficient immobilization of the electrochemiluminescence (ECL) quencher doxorubicin-ferrocenecarboxylic acid (Dox-FcCOOH), an ultrasensitive biosensing platform was constructed to conduct a microRNA assay in tumour cells.
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Affiliation(s)
- Rong Yang
- Key Laboratory of Luminescent and Real-Time Analytical Chemistry, Ministry of Education, College of Chemistry and Chemical Engineering, Southwest University, Chongqing 400715, China.
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25
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Zhang Y, Ren B, Zhang D, Liu Y, Zhang M, Zhao C, Zheng J. Design principles and fundamental understanding of biosensors for amyloid-β detection. J Mater Chem B 2020; 8:6179-6196. [DOI: 10.1039/d0tb00344a] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Aβ as biomarker in Alzheimer’s disease (AD) drives the significant research efforts for developing different biosensors with different sensing strategies, materials, and mechanisms for Aβ detection.
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Affiliation(s)
- Yanxian Zhang
- Department of Chemical
- Biomolecular, and Corrosion Engineering
- The University of Akron
- Ohio
- USA
| | - Baiping Ren
- Department of Chemical
- Biomolecular, and Corrosion Engineering
- The University of Akron
- Ohio
- USA
| | - Dong Zhang
- Department of Chemical
- Biomolecular, and Corrosion Engineering
- The University of Akron
- Ohio
- USA
| | - Yonglan Liu
- Department of Chemical
- Biomolecular, and Corrosion Engineering
- The University of Akron
- Ohio
- USA
| | - Mingzhen Zhang
- Department of Chemical
- Biomolecular, and Corrosion Engineering
- The University of Akron
- Ohio
- USA
| | - Chao Zhao
- Department of Chemical and Biomolecular Engineering
- The University of Alabama
- USA
| | - Jie Zheng
- Department of Chemical
- Biomolecular, and Corrosion Engineering
- The University of Akron
- Ohio
- USA
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26
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Kim K, Lee CH, Park CB. Chemical sensing platforms for detecting trace-level Alzheimer's core biomarkers. Chem Soc Rev 2020; 49:5446-5472. [DOI: 10.1039/d0cs00107d] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
This review provides an overview of recent advances in optical and electrical detection of Alzheimer's disease biomarkers in clinically relevant fluids.
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Affiliation(s)
- Kayoung Kim
- Department of Materials Science and Engineering
- Korea Advanced Institute of Science and Technology (KAIST)
- Daejeon 305-701
- Republic of Korea
| | - Chang Heon Lee
- Department of Materials Science and Engineering
- Korea Advanced Institute of Science and Technology (KAIST)
- Daejeon 305-701
- Republic of Korea
| | - Chan Beum Park
- Department of Materials Science and Engineering
- Korea Advanced Institute of Science and Technology (KAIST)
- Daejeon 305-701
- Republic of Korea
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