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Yang J, Qin D, Wang N, Wu Y, Fang K, Deng B. Aggregation-Induced Electrochemiluminescence Based on a Zinc-Based Metal-Organic Framework and a Double Quencher Au@UiO-66-NH 2 for the Sensitive Detection of Amyloid β 42 via Resonance Energy Transfer. Anal Chem 2023; 95:7045-7052. [PMID: 37079698 DOI: 10.1021/acs.analchem.3c00729] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/22/2023]
Abstract
A novel sandwich electrochemiluminescence (ECL) biosensor based on aggregation-induced electrochemiluminescence resonance energy transfer (AIECL-RET) was designed for the sensitive detection of amyloid β42 (Aβ42). The synthesized silver nanoparticle-functionalized zinc metal-organic framework (Ag@ZnPTC) and gold nanoparticle-functionalized zirconium organic framework (Au@UiO-66-NH2) were used as the ECL donor and acceptor, respectively. AgNPs were generated in situ on the surface of ZnPTC, which further improved the ECL intensity and the loading of antibody 1 (Ab1). Under the optimized experimental conditions, the linear detection range of Aβ42 concentration was 10 fg/mL to 100 ng/mL, and the detection limit was 2.4 fg/mL (S/N = 3). The recoveries of Aβ42 were 99.5-104%. The method has good stability, repeatability, and specificity. Ag@ZnPTC/Au@UiO-66-NH2 provides an assay for the sensitive detection of disease biomarkers.
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Affiliation(s)
- Juan Yang
- State Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources, School of Chemistry and Pharmaceutical Sciences, Guangxi Normal University, Guilin 541004, China
| | - Dongmiao Qin
- State Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources, School of Chemistry and Pharmaceutical Sciences, Guangxi Normal University, Guilin 541004, China
| | - Na Wang
- State Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources, School of Chemistry and Pharmaceutical Sciences, Guangxi Normal University, Guilin 541004, China
| | - Yusheng Wu
- State Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources, School of Chemistry and Pharmaceutical Sciences, Guangxi Normal University, Guilin 541004, China
| | - Kanjun Fang
- State Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources, School of Chemistry and Pharmaceutical Sciences, Guangxi Normal University, Guilin 541004, China
| | - Biyang Deng
- State Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources, School of Chemistry and Pharmaceutical Sciences, Guangxi Normal University, Guilin 541004, China
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Rouhi N, Akhgari A, Orouji N, Nezami A, Rahimzadegan M, Kamali H. Recent progress in the graphene-based biosensing approaches for the detection of Alzheimer's biomarkers. J Pharm Biomed Anal 2023; 222:115084. [DOI: 10.1016/j.jpba.2022.115084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2022] [Revised: 09/15/2022] [Accepted: 09/26/2022] [Indexed: 12/01/2022]
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Detection and modulation of neurodegenerative processes using graphene-based nanomaterials: Nanoarchitectonics and applications. Adv Colloid Interface Sci 2023; 311:102824. [PMID: 36549182 DOI: 10.1016/j.cis.2022.102824] [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: 10/03/2022] [Revised: 12/02/2022] [Accepted: 12/08/2022] [Indexed: 12/14/2022]
Abstract
Neurodegenerative disorders (NDDs) are caused by progressive loss of functional neurons following the aggregation and fibrillation of proteins in the central nervous system. The incidence rate continues to rise alarmingly worldwide, particularly in aged population, and the success of treatment remains limited to symptomatic relief. Graphene nanomaterials (GNs) have attracted immense interest on the account of their unique physicochemical and optoelectronic properties. The research over the past two decades has recognized their ability to interact with aggregation-prone neuronal proteins, regulate autophagy and modulate the electrophysiology of neuronal cells. Graphene can prevent the formation of higher order protein aggregates and facilitate the clearance of such deposits. In this review, after highlighting the role of protein fibrillation in neurodegeneration, we have discussed how GN-protein interactions can be exploited for preventing neurodegeneration. A comprehensive understanding of such interactions would contribute to the exploration of novel modalities for controlling neurodegenerative processes.
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Park Y, Dang TV, Jeong U, Kim MI, Kim J. Comparison of Optical and Electrical Sensor Characteristics for Efficient Analysis of Attachment and Detachment of Aptamer. BIOSENSORS 2022; 12:979. [PMID: 36354488 PMCID: PMC9688426 DOI: 10.3390/bios12110979] [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: 08/22/2022] [Revised: 10/30/2022] [Accepted: 11/02/2022] [Indexed: 06/16/2023]
Abstract
Nucleic acid aptamer-based research has focused on achieving the highest performance for bioassays. However, there are limitations in evaluating the affinity for the target analytes in these nucleic acid aptamer-based bioassays. In this study, we mainly propose graphene oxide (GO)-based electrical and optical analyses to efficiently evaluate the affinity between an aptamer and its target. We found that an aptamer-coupled GO-based chip with an electrical resistance induced by a field-effect transistor, with aptamers as low as 100 pM, can detect the target, thrombin, at yields as low as 250 pM within five minutes. In the optical approach, the fluorescent dye-linked aptamer, as low as 100 nM, was efficiently used with GO, enabling the sensitive detection of thrombin at yields as low as 5 nM. The cantilever type of mechanical analysis also demonstrated the intuitive aptamer-thrombin reaction in the signal using dBm units. Finally, a comparison of electrical and optical sensors' characteristics was introduced in the attachment and detachment of aptamer to propose an efficient analysis that can be utilized for various aptamer-based research fields.
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Affiliation(s)
- Yejin Park
- Department of Biomedical Engineering, College of Life Science and Biotechnology, Dongguk University, Seoul 04620, Korea
| | - Thinh Viet Dang
- Department of BioNano Technology, Gachon University, Seongnam 13120, Gyeonggi, Korea
| | - Uiseok Jeong
- SKhynix, Gyeongchung-daero 2091, Bubal-eup, Incheon-si 17336, Gyeonggi-do, Korea
| | - Moon Il Kim
- Department of BioNano Technology, Gachon University, Seongnam 13120, Gyeonggi, Korea
| | - Jinsik Kim
- Department of Biomedical Engineering, College of Life Science and Biotechnology, Dongguk University, Seoul 04620, Korea
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Kim C, Yoo YK, Lee NE, Lee J, Kim KH, Lee S, Kim J, Park SJ, Lee D, Lee SW, Hwang KS, Han SI, Lee D, Yoon DS, Lee JH. Nanoelectrokinetic-assisted lateral flow assay for COVID-19 antibody test. Biosens Bioelectron 2022; 212:114385. [PMID: 35623254 PMCID: PMC9112610 DOI: 10.1016/j.bios.2022.114385] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Revised: 05/08/2022] [Accepted: 05/14/2022] [Indexed: 12/19/2022]
Abstract
A lateral flow assay (LFA) platform is a powerful tool for point-of-care testing (POCT), especially for self-testing. Although the LFA platform provides a simple and disposable tool for Coronavirus disease of 2019 (COVID-19) antigen (Ag) and antibody (Ab) screening tests, the lower sensitivity for low virus titers has been a bottleneck for practical applications. Herein, we report the combination of a microfluidic paper-based nanoelectrokinetic (NEK) preconcentrator and an LFA platform for enhancing the sensitivity and limit of detection (LOD). Biomarkers were electrokinetically preconcentrated onto a specific layer using the NEK preconcentrator, which was then coupled with LFA diagnostic devices for enhanced performance. Using this nanoelectrokinetic-assisted LFA (NEK-LFA) platform for self-testing, the severe acute respiratory syndrome coronavirus 2 Immunoglobulin G (SARS-CoV-2 IgG) sample was preconcentrated from serum samples. After preconcentration, the LOD of the LFA was enhanced by 32-fold, with an increase in analytical sensitivity (16.4%), which may offer a new opportunity for POCT and self-testing, especially in the COVID-19 pandemic and endemic global context.
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Affiliation(s)
- Cheonjung Kim
- Department of Electrical Engineering, Kwangwoon University, Seoul, 01897, Republic of Korea
| | - Yong Kyoung Yoo
- Department of Electronic Engineering, Catholic Kwandong University, 24, Beomil-ro 579 beon-gil, Gangneung-si, Gangwon-do, 25601, Republic of Korea
| | - Na Eun Lee
- Department of Electrical Engineering, Kwangwoon University, Seoul, 01897, Republic of Korea; Department of Biotechnology, College of Life Sciences and Biotechnology, Korea University, Seoul, 02841, Republic of Korea
| | - Junwoo Lee
- Department of Electrical Engineering, Kwangwoon University, Seoul, 01897, Republic of Korea
| | - Kang Hyeon Kim
- Department of Electrical Engineering, Kwangwoon University, Seoul, 01897, Republic of Korea
| | - Seungmin Lee
- Department of Electrical Engineering, Kwangwoon University, Seoul, 01897, Republic of Korea; School of Biomedical Engineering, Korea University, Seoul, 02841, Republic of Korea
| | - Jinhwan Kim
- Department of Electrical Engineering, Kwangwoon University, Seoul, 01897, Republic of Korea
| | - Seong Jun Park
- Department of Electrical Engineering, Kwangwoon University, Seoul, 01897, Republic of Korea
| | - Dongtak Lee
- School of Biomedical Engineering, Korea University, Seoul, 02841, Republic of Korea
| | - Sang Won Lee
- School of Biomedical Engineering, Korea University, Seoul, 02841, Republic of Korea
| | - Kyo Seon Hwang
- Department of Clinical Pharmacology and Therapeutics, College of Medicine, Kyung Hee University, Seoul, 02447, Republic of Korea
| | - Sung Il Han
- CALTH Inc., Changeop-ro 54, Seongnam, Gyeonggi, 13449, Republic of Korea
| | - Dongho Lee
- CALTH Inc., Changeop-ro 54, Seongnam, Gyeonggi, 13449, Republic of Korea
| | - Dae Sung Yoon
- School of Biomedical Engineering, Korea University, Seoul, 02841, Republic of Korea.
| | - Jeong Hoon Lee
- Department of Electrical Engineering, Kwangwoon University, Seoul, 01897, Republic of Korea.
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Sethi J, Van Bulck M, Suhail A, Safarzadeh M, Perez-Castillo A, Pan G. A label-free biosensor based on graphene and reduced graphene oxide dual-layer for electrochemical determination of beta-amyloid biomarkers. Mikrochim Acta 2020; 187:288. [PMID: 32333119 PMCID: PMC7182627 DOI: 10.1007/s00604-020-04267-x] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2019] [Accepted: 04/10/2020] [Indexed: 01/03/2023]
Abstract
A label-free biosensor is developed for the determination of plasma-based Aβ1–42 biomarker in Alzheimer’s disease (AD). The platform is based on highly conductive dual-layer of graphene and electrochemically reduced graphene oxide (rGO). The modification of dual-layer with 1-pyrenebutyric acid N-hydroxysuccinimide ester (Pyr-NHS) is achieved to facilitate immobilization of H31L21 antibody. The effect of these modifications were studied with morphological, spectral and electrochemical techniques. The response of the biosensor was evaluated using differential pulse voltammetry (DPV). The data was acquired at a working potential of ~ 180 mV and a scan rate of 50 mV s−1. A low limit of detection (LOD) of 2.398 pM is achieved over a wide linear range from 11 pM to 55 nM. The biosensor exhibits excellent specificity over Aβ1–40 and ApoE ε4 interfering species. Thus, it provides a viable tool for electrochemical determination of Aβ1–42. Spiked human and mice plasmas were used for the successful validation of the sensing platform in bio-fluidic samples. The results obtained from mice plasma analysis concurred with the immunohistochemistry (IHC) and magnetic resonance imaging (MRI) data obtained from brain analysis. Schematic representation of the electrochemical system proposed for Aβ1–42 determination: (a) modification of graphene screen-printed electrode (SPE) with monolayer graphene oxide (GO) followed by its electrochemical reduction generating graphene/reduced graphene oxide (rGO) dual-layer (b), modification of dual-layer with linker (c), Aβ1–42 antibody (H31L21) (d), bovine serum albumin (BSA) (e) and Aβ1–42 peptide (f). ![]()
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Affiliation(s)
- Jagriti Sethi
- Wolfson Nanomagnetics Laboratory, School of Engineering, Computing and Mathematics, University of Plymouth, Devon, PL4 8AA, UK.
| | - Michiel Van Bulck
- Instituto de Investigaciones Biomédicas (CSIC-UAM), Arturo Duperier, 4, 28029, Madrid, Spain.,Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Valderrebollo, 5, 28031, Madrid, Spain
| | - Ahmed Suhail
- Wolfson Nanomagnetics Laboratory, School of Engineering, Computing and Mathematics, University of Plymouth, Devon, PL4 8AA, UK
| | - Mina Safarzadeh
- Wolfson Nanomagnetics Laboratory, School of Engineering, Computing and Mathematics, University of Plymouth, Devon, PL4 8AA, UK
| | - Ana Perez-Castillo
- Instituto de Investigaciones Biomédicas (CSIC-UAM), Arturo Duperier, 4, 28029, Madrid, Spain.,Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Valderrebollo, 5, 28031, Madrid, Spain
| | - Genhua Pan
- Wolfson Nanomagnetics Laboratory, School of Engineering, Computing and Mathematics, University of Plymouth, Devon, PL4 8AA, UK
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Zhang X, Jing Q, Ao S, Schneider GF, Kireev D, Zhang Z, Fu W. Ultrasensitive Field-Effect Biosensors Enabled by the Unique Electronic Properties of Graphene. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2020; 16:e1902820. [PMID: 31592577 DOI: 10.1002/smll.201902820] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/30/2019] [Revised: 09/08/2019] [Indexed: 05/20/2023]
Abstract
This review provides a critical overview of current developments on nanoelectronic biochemical sensors based on graphene. Composed of a single layer of conjugated carbon atoms, graphene has outstanding high carrier mobility and low intrinsic electrical noise, but a chemically inert surface. Surface functionalization is therefore crucial to unravel graphene sensitivity and selectivity for the detection of targeted analytes. To achieve optimal performance of graphene transistors for biochemical sensing, the tuning of the graphene surface properties via surface functionalization and passivation is highlighted, as well as the tuning of its electrical operation by utilizing multifrequency ambipolar configuration and a high frequency measurement scheme to overcome the Debye screening to achieve low noise and highly sensitive detection. Potential applications and prospectives of ultrasensitive graphene electronic biochemical sensors ranging from environmental monitoring and food safety, healthcare and medical diagnosis, to life science research, are presented as well.
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Affiliation(s)
- Xiaoyan Zhang
- State Key Laboratory of New Ceramics and Fine Processing, School of Materials Science and Engineering, Tsinghua University, Beijing, 100084, P. R. China
- Leiden Institute of Chemistry, Leiden University, Einsteinweg 55, 2333CC, Leiden, The Netherlands
| | - Qiushi Jing
- School of Materials Science and Engineering, Tsinghua University, Shaw Technical Science Building, Haidian District, Beijing, 100084, P. R. China
| | - Shen Ao
- School of Materials Science and Engineering, Tsinghua University, Shaw Technical Science Building, Haidian District, Beijing, 100084, P. R. China
| | - Grégory F Schneider
- Leiden Institute of Chemistry, Leiden University, Einsteinweg 55, 2333CC, Leiden, The Netherlands
| | - Dmitry Kireev
- Department of Electrical and Computer Engineering, University of Texas at Austin, Austin, TX, 78757, USA
| | - Zhengjun Zhang
- School of Materials Science and Engineering, Tsinghua University, Shaw Technical Science Building, Haidian District, Beijing, 100084, P. R. China
| | - Wangyang Fu
- State Key Laboratory of New Ceramics and Fine Processing, School of Materials Science and Engineering, Tsinghua University, Beijing, 100084, P. R. China
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