1
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Wan Z, Lu J, Lu L, Zhao W, Jiang W. A binding-triggered hybridization chain reaction cascade multi-site activated CRISPR/Cas12a signal amplification strategy for sensitive detection of α-synuclein. Analyst 2024; 149:3725-3731. [PMID: 38757739 DOI: 10.1039/d4an00453a] [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: 05/18/2024]
Abstract
Alpha-synuclein (α-syn) is closely related to the pathological process of Parkinson's disease (PD). Sensitive detection of α-syn is important for the early diagnosis and disease progression monitoring of PD. Herein, we report a binding-triggered hybridization chain reaction (HCR) cascade multi-site activated CRISPR/Cas12a signal amplification strategy for sensitive detection of α-syn. In this method, antibody-DNA capture probes recognized α-syn and bound with it to increase the local effective concentrations of two DNA strands, promoting their hybridization to form a split HCR trigger. Then the trigger initiated an HCR to generate a long double-stranded structure which contained abundant periodically repeated Cas12a/crRNA target sequences. Finally, the Cas12a/crRNA recognized the target sequence in HCR products and then the cleavage activity toward fluorescent reporters was activated, leading to the recovery of appreciable fluorescence signals. Our method provided a detection limit as low as 9.33 pM and exhibited satisfactory applicability in human serum samples. In summary, this study provides a homogeneous strategy for convenient, sensitive, and accurate detection of α-syn, showing great potential in the early diagnosis of PD.
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Affiliation(s)
- Zhenzhuo Wan
- School of Chemistry and Chemical Engineering, Shandong University, 250100, Jinan, PR China.
| | - Jiahao Lu
- School of Chemistry and Chemical Engineering, Shandong University, 250100, Jinan, PR China.
| | - Lu Lu
- Department of Oncology, Central Hospital Affiliated to Shandong First Medical University, 250013, Jinan, PR China.
| | - Weichong Zhao
- Department of Oncology, Central Hospital Affiliated to Shandong First Medical University, 250013, Jinan, PR China.
| | - Wei Jiang
- School of Chemistry and Chemical Engineering, Shandong University, 250100, Jinan, PR China.
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2
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Sun X, Song G, Hu Z, Zhang W, Luo N, Gao H. An electrochemical immunosensor based on hybrid self-assembled monolayers for rapid detection of Bombyx mori nucleopolyhedrovirus. J Invertebr Pathol 2024; 204:108080. [PMID: 38432354 DOI: 10.1016/j.jip.2024.108080] [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: 10/19/2023] [Revised: 02/26/2024] [Accepted: 02/27/2024] [Indexed: 03/05/2024]
Abstract
Bombyx mori nucleopolyhedrovirus (BmNPV) is highly contagious and poses a serious threat to sericulture production. Because there are currently no effective treatments for BmNPV, a rapid and simple detection method is urgently needed. This paper describes an electrochemical immunosensor for the detection of BmNPV. The immunosensor was fabricated by covalently immobilizing anti-BmNPV, a biorecognition element, onto the surface of the working gold electrode via 11-mercaptoundecanoic acid (MUA)/β-mercaptoethanol (ME) hybrid self-assembled monolayers. Electrochemical impedance spectroscopy (EIS) and atomic force microscopy (AFM) were used to characterize the electrochemical performance and morphology of the immunosensor, respectively. Under optimum conditions, the developed immunosensor exhibited a linear response to BmNPV polyhedrin in the range of 1 × 102-1 × 108 fg/mL, with a low detection limit of 14.54 fg/mL. The immunosensor also exhibited remarkable repeatability, reproducibility, specificity, accuracy, and regeneration. Normal silkworm blood was mixed with BmNPV polyhedrin and analyzed quantitatively using this sensor, and the recovery was 92.31 %-100.61 %. Additionally, the sensor was used to analyze silkworm blood samples at different time points after BmNPV infection, and an obvious antigen signal was detected at 12 h post infection. Although this result agreed with that provided by the conventional polymerase chain reaction (PCR) method, the electroanalysis method established in this study was simpler, shorter in detection period, and lower in material cost. Furthermore, this innovative electrochemical immunosensor, developed for the ultra-sensitive and rapid detection of BmNPV, can be used for the early detection of virus-infected silkworms.
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Affiliation(s)
- Xiaomei Sun
- College of Forestry, Shandong Agricultural University, Taian 271018, China
| | - Guizhen Song
- College of Forestry, Shandong Agricultural University, Taian 271018, China
| | - Zengjuan Hu
- Qingdao Agricultural Technology Extension Center, Qingdao 266100, China
| | - Wenjing Zhang
- College of Forestry, Shandong Agricultural University, Taian 271018, China
| | - Ning Luo
- College of Forestry, Shandong Agricultural University, Taian 271018, China
| | - Huiju Gao
- College of Forestry, Shandong Agricultural University, Taian 271018, China; State Forestry and Grassland Administration Key Laboratory of Silviculture in Downstream Areas of the Yellow River, Shandong Agricultural University, Taian 271018, China.
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3
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Li Y, Ren H, Chi C, Miao Y. Artificial Intelligence-Guided Gut-Microenvironment-Triggered Imaging Sensor Reveals Potential Indicators of Parkinson's Disease. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2307819. [PMID: 38569219 PMCID: PMC11187919 DOI: 10.1002/advs.202307819] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 03/16/2024] [Indexed: 04/05/2024]
Abstract
The gut-brain axis has recently emerged as a crucial link in the development and progression of Parkinson's disease (PD). Dysregulation of the gut microbiota has been implicated in the pathogenesis of this disease, sparking growing interest in the quest for non-invasive biomarkers derived from the gut for early PD diagnosis. Herein, an artificial intelligence-guided gut-microenvironment-triggered imaging sensor (Eu-MOF@Au-Aptmer) to achieve non-invasive, accurate screening for various stages of PD is presented. The sensor works by analyzing α-Syn in the gut using deep learning algorithms. By monitoring changes in α-Syn, the sensor can predict the onset of PD with high accuracy. This work has the potential to revolutionize the diagnosis and treatment of PD by allowing for early intervention and personalized treatment plans. Moreover, it exemplifies the promising prospects of integrating artificial intelligence (AI) and advanced sensors in the monitoring and prediction of a broad spectrum of diseases and health conditions.
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Affiliation(s)
- Yiwei Li
- Department of Haematology, Sichuan Academy of Medical Sciences & Sichuan Provincial People's HospitalSchool of Medicine of University of Electronic Science and Technology of ChinaNo. 32, West Section 2, First Ring Road, Qingyang DistrictChengdu610000China
- Institute of Communications Engineering & Department of Electrical EngineeringNational Tsing Hua UniversityHsinchu30013Taiwan
| | - Hong‐Xia Ren
- Sichuan Technology & Business CollegeChengdu611800China
| | - Chong‐Yung Chi
- Institute of Communications Engineering & Department of Electrical EngineeringNational Tsing Hua UniversityHsinchu30013Taiwan
| | - Yang‐Bao Miao
- Department of Haematology, Sichuan Academy of Medical Sciences & Sichuan Provincial People's HospitalSchool of Medicine of University of Electronic Science and Technology of ChinaNo. 32, West Section 2, First Ring Road, Qingyang DistrictChengdu610000China
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4
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Giarola JF, Santos J, Estevez MC, Ventura S, Pallarès I, Lechuga LM. An α-helical peptide-based plasmonic biosensor for highly specific detection of α-synuclein toxic oligomers. Anal Chim Acta 2024; 1304:342559. [PMID: 38637056 DOI: 10.1016/j.aca.2024.342559] [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: 01/24/2024] [Revised: 03/20/2024] [Accepted: 03/28/2024] [Indexed: 04/20/2024]
Abstract
BACKGROUND α-Synuclein (αS) aggregation is the main neurological hallmark of a group of neurodegenerative disorders, collectively referred to as synucleinopathies, of which Parkinson's disease (PD) is the most prevalent. αS oligomers are elevated in the cerebrospinal fluid (CSF) of PD patients, standing as a biomarker for disease diagnosis. However, methods for early PD detection are still lacking. We have recently identified the amphipathic 22-residue peptide PSMα3 as a high-affinity binder of αS toxic oligomers. PSMα3 displayed excellent selectivity and reproducibility, binding to αS toxic oligomers with affinities in the low nanomolar range and without detectable cross-reactivity with functional monomeric αS. RESULTS In this work, we leveraged these PSMα3 unique properties to design a plasmonic-based biosensor for the direct detection of toxic oligomers under label-free conditions. SIGNIFICANCE AND NOVELTY We describe the integration of the peptide in a lab-on-a-chip plasmonic platform suitable for point-of-care measurements of αS toxic oligomers in CSF samples in real-time and at an affordable cost, providing an innovative biosensor for PD early diagnosis in the clinic.
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Affiliation(s)
- Juliana Fátima Giarola
- Nanobiosensors and Bioanalytical Applications Group (NanoB2A), Catalan Institute of Nanoscience and Nanotechnology (ICN2), CSIC, CIBER-BBN and BIST, Campus UAB, Bellaterra, 08193, Barcelona, Spain
| | - Jaime Santos
- Institut de Biotecnologia I Biomedicina and Departament de Bioquímica I Biologia Molecular, Universitat Autònoma de Barcelona, 08193, Barcelona, Spain
| | - M-Carmen Estevez
- Nanobiosensors and Bioanalytical Applications Group (NanoB2A), Catalan Institute of Nanoscience and Nanotechnology (ICN2), CSIC, CIBER-BBN and BIST, Campus UAB, Bellaterra, 08193, Barcelona, Spain.
| | - Salvador Ventura
- Institut de Biotecnologia I Biomedicina and Departament de Bioquímica I Biologia Molecular, Universitat Autònoma de Barcelona, 08193, Barcelona, Spain
| | - Irantzu Pallarès
- Institut de Biotecnologia I Biomedicina and Departament de Bioquímica I Biologia Molecular, Universitat Autònoma de Barcelona, 08193, Barcelona, Spain.
| | - Laura M Lechuga
- Nanobiosensors and Bioanalytical Applications Group (NanoB2A), Catalan Institute of Nanoscience and Nanotechnology (ICN2), CSIC, CIBER-BBN and BIST, Campus UAB, Bellaterra, 08193, Barcelona, Spain
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5
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Arora K, Sherilraj PM, Abutwaibe KA, Dhruw B, Mudavath SL. Exploring glycans as vital biological macromolecules: A comprehensive review of advancements in biomedical frontiers. Int J Biol Macromol 2024; 268:131511. [PMID: 38615867 DOI: 10.1016/j.ijbiomac.2024.131511] [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: 09/01/2023] [Revised: 04/02/2024] [Accepted: 04/09/2024] [Indexed: 04/16/2024]
Abstract
This comprehensive review delves into the intricate landscape of glycans and glycoconjugates, unraveling their multifaceted roles across diverse biological dimensions. From influencing fundamental cellular processes such as signaling, recognition, and adhesion to exerting profound effects at the molecular and genetic levels, these complex carbohydrate structures emerge as linchpins in cellular functions and interactions. The structural diversity of glycoconjugates, which can be specifically classified into glycoproteins, glycolipids, and proteoglycans, underscores their importance in shaping the architecture of cells. Beyond their structural roles, these molecules also play key functions in facilitating cellular communication and modulating recognition mechanisms. Further, glycans and glycoconjugates prove invaluable as biomarkers in disease diagnostics, particularly in cancer, where aberrant glycosylation patterns offer critical diagnostic cues. Furthermore, the review explores their promising therapeutic applications, ranging from the development of glycan-based nanomaterials for precise drug delivery to innovative interventions in cancer treatment. This review endeavors to comprehensively explore the intricate functions of glycans and glycoconjugates, with the primary goal of offering valuable insights into their extensive implications in both health and disease. Encompassing a broad spectrum of biological processes, the focus of the review aims to provide a comprehensive understanding of the significant roles played by glycans and glycoconjugates.
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Affiliation(s)
- Kanika Arora
- Infectious Disease Biology Laboratory, Institute of Nano Science & Technology (INST), Sector 81, Mohali, Punjab 140306, India
| | - P M Sherilraj
- Infectious Disease Biology Laboratory, Institute of Nano Science & Technology (INST), Sector 81, Mohali, Punjab 140306, India
| | - K A Abutwaibe
- Infectious Disease Biology Laboratory, Institute of Nano Science & Technology (INST), Sector 81, Mohali, Punjab 140306, India
| | - Bharti Dhruw
- Infectious Disease Biology Laboratory, Institute of Nano Science & Technology (INST), Sector 81, Mohali, Punjab 140306, India
| | - Shyam Lal Mudavath
- Infectious Disease Biology Laboratory, Institute of Nano Science & Technology (INST), Sector 81, Mohali, Punjab 140306, India; Department of Animal Biology, School of Life Sciences, University of Hyderabad, Prof. C.R. Rao Road, Gachibowli Hyderabad 500046, Telangana, India.
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6
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Saadati A, Baghban HN, Hasanzadeh M, Shadjou N. An innovative transportable immune device for the recognition of α-synuclein using KCC-1- nPr-CS 2 modified silver nano-ink: integration of pen-on-paper technology with biosensing toward early-stage diagnosis of Parkinson's disease. RSC Adv 2024; 14:8810-8818. [PMID: 38495975 PMCID: PMC10941091 DOI: 10.1039/d3ra07058a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Accepted: 02/18/2024] [Indexed: 03/19/2024] Open
Abstract
Parkinson's disease (PD), the second most frequent neurodegenerative illness, is a neurological ailment that produces unintentional or uncontrolled body movements, which should be diagnosed in its early stages to hinder the progression. Monitoring the concentration of α-synuclein (α-Syn) in body fluids can be one of the most efficient ways for PD early detection. In this work, a paper-based electrochemical immunosensor was designed for α-Syn bio-assay in human plasma samples based on encapsulation of the biotinylated antibody on novel dendritic fibrous nanosilica ((KCC-1-nPr-CS2)-Ab). For this purpose, a three-electrode system was prepared using stabilization of silver nano-ink on photographic paper. Then, the (KCC-1-NH-CS2)-Ab was immobilized on its surface and used to detect the target antigen (α-Syn). After characterization of the prepared substrate by FE-SEM and EDS, the redox behavior of the biosensor was evaluated using chronoamperometry techniques. Under optimal experimental conditions and using a label-free strategy, the engineered immunosensor showed a linear relationship between peak current and antigen concentration in the linear range from 0.002 to 128 ng mL-1 with the lower limit of quantification of 0.002 ng mL-1. Moreover, this work involves unprecedented use of conductive nano-inks for the manufacture of α-Syn immunosensor, which is aided by the use of a mesoporous silicate dendrimer in encapsulating the α-Syn antibody, thus offering a robust and simple point-of-care device for early PD diagnosis. The ability of the proposed platform to detect small amounts of α-Syn offers a promising approach to developing low-cost, sensitive, and transportable biosensors for Parkinson's disease screening in its early stages.
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Affiliation(s)
- Arezoo Saadati
- Nutrition Research Center, Tabriz University of Medical Sciences Tabriz Iran
| | - Hossein Navay Baghban
- Food and Drug Safety Research Center, Tabriz University of Medical Sciences Tabriz Iran
| | - Mohammad Hasanzadeh
- Pharmaceutical Analysis Research Center, Tabriz University of Medical Sciences Tabriz 51664 Iran
| | - Nasrin Shadjou
- Department of Nanotechnology, Faculty Chemistry, Urmia University Urmia Iran
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7
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Sonuç Karaboğa MN, Ünal MA, Arı F, Sezgintürk MK, Özkan SA. An innovative method for the detection of alpha synuclein, a potential biomarker of Parkinson's disease: quartz tuning fork-based mass sensitive immunosensor design. Phys Chem Chem Phys 2024; 26:5106-5114. [PMID: 38259152 DOI: 10.1039/d3cp04527g] [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: 01/24/2024]
Abstract
An innovative biosensing fabrication strategy has been demonstrated for the first time using a quartz tuning fork (QTF) to develop a practical immunosensor for sensitive, selective and practical analysis of alpha synuclein protein (SYN alpha), a potential biomarker of Parkinson's disease. Functionalization of gold-coated QTFs was carried out in 2 steps by forming a self-assembled monolayer with 4-aminothiophenol (4-ATP) and conjugation of gold nanoparticles (AuNPs). The selective determination range for SYN alpha of the developed biosensor system is 1-500 ng mL-1 in accordance with the resonance frequency shifts associated with a limit of detection of 0.098 ng mL-1. The changes in surface morphology and elemental composition were evaluated using scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FTIR) and energy-dispersive X-ray spectroscopy (EDX). The remarkable point of the study is that this QTF based mass sensitive biosensor system can capture the SYN alpha target protein in cerebrospinal fluid (CSF) samples with recoveries ranging from 92% to 104%.
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Affiliation(s)
| | | | - Fikret Arı
- Faculty of Engineering, Department of Electrical and Electronics Engineering, Ankara University, Ankara, Turkey
| | - Mustafa Kemal Sezgintürk
- Faculty of Engineering, Bioengineering Department, Çanakkale Onsekiz Mart University, Çanakkale, Turkey.
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8
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Orzari LO, Silva LRGE, de Freitas RC, Brazaca LC, Janegitz BC. Lab-made disposable screen-printed electrochemical sensors and immunosensors modified with Pd nanoparticles for Parkinson's disease diagnostics. Mikrochim Acta 2024; 191:76. [PMID: 38172448 DOI: 10.1007/s00604-023-06158-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Accepted: 12/15/2023] [Indexed: 01/05/2024]
Abstract
A new conductive ink based on the addition of carbon black to a poly(vinyl alcohol) matrix is developed and investigated for electrochemical sensing and biosensing applications. The produced devices were characterized using morphological and electrochemical techniques and modified with Pd nanoparticles to enhance electrical conductivity and reaction kinetics. With the aid of chemometrics, the parameters for metal deposition were investigated and the sensor was applied to the determination of Parkinson's disease biomarkers, specifically epinephrine and α-synuclein. A linear behavior was obtained in the range 0.75 to 100 μmol L-1 of the neurotransmitter, and the device displayed a limit of detection (LOD) of 0.051 μmol L-1. The three-electrode system was then tested using samples of synthetic cerebrospinal fluid. Afterward, the device was modified with specific antibodies to quantify α-synuclein using electrochemical impedance spectroscopy. In phosphate buffer, a linear range was obtained for α-synuclein concentrations from 1.5 to 15 μg mL-1, with a calculated LOD of 0.13 μg mL-1. The proposed immunosensor was also applied to blood serum samples, and, in this case, the linear range was observed from 6.0 to 100.5 μg mL-1 of α-synuclein, with a LOD = 1.3 µg mL-1. Both linear curves attend the range for the real diagnosis, demonstrating its potential application to complex matrices.
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Affiliation(s)
- Luiz Otávio Orzari
- Department of Nature Sciences, Mathematics and Education, Federal University of São Carlos, Araras, SP, 13600-970, Brazil
- Department of Physics, Chemistry and Mathematics, Federal University of São Carlos, Sorocaba, SP, 18052-780, Brazil
| | - Luiz Ricardo Guterres E Silva
- Department of Nature Sciences, Mathematics and Education, Federal University of São Carlos, Araras, SP, 13600-970, Brazil
- Department of Physics, Chemistry and Mathematics, Federal University of São Carlos, Sorocaba, SP, 18052-780, Brazil
| | - Rafaela Cristina de Freitas
- Department of Nature Sciences, Mathematics and Education, Federal University of São Carlos, Araras, SP, 13600-970, Brazil
- Department of Physics, Chemistry and Mathematics, Federal University of São Carlos, Sorocaba, SP, 18052-780, Brazil
| | - Laís Canniatti Brazaca
- São Carlos Institute of Chemistry, University of São Paulo, São Carlos, SP, 13566-590, Brazil
| | - Bruno Campos Janegitz
- Department of Nature Sciences, Mathematics and Education, Federal University of São Carlos, Araras, SP, 13600-970, Brazil.
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9
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Wang R, Pang SC, Li JY, Li CL, Liu JM, Wang YM, Chen ML, Li YB. A review of the current research on in vivo and in vitro detection for alpha-synuclein: a biomarker of Parkinson's disease. Anal Bioanal Chem 2023; 415:1589-1605. [PMID: 36688984 DOI: 10.1007/s00216-023-04520-1] [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] [Received: 10/21/2022] [Revised: 12/15/2022] [Accepted: 01/04/2023] [Indexed: 01/24/2023]
Abstract
Parkinson's disease is a health-threatening neurodegenerative disease of the elderly with clinical manifestations of motor and non-motor deficits such as tremor palsy and loss of smell. Alpha-synuclein (α-Syn) is the pathological basis of PD, it can abnormally aggregate into insoluble forms such as oligomers, fibrils, and plaques, causing degeneration of nigrostriatal dopaminergic neurons in the substantia nigra in the patient's brain and the formation of Lewy bodies (LBs) and Lewy neuritis (LN) inclusions. As a result, achieving α-Syn aggregate detection in the early stages of PD can effectively stop or delay the progression of the disease. In this paper, we provide a brief overview and analysis of the molecular structures and α-Syn in vivo and in vitro detection methods, such as mass spectrometry, antigen-antibody recognition, electrochemical sensors, and imaging techniques, intending to provide more technological support for detecting α-Syn early in the disease and intervening in the progression of Parkinson's disease.
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Affiliation(s)
- Rui Wang
- First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, 300381, China.,College of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China
| | - Shu-Chao Pang
- First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, 300381, China
| | - Jing-Ya Li
- College of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China
| | - Chan-Lian Li
- College of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China
| | - Jun-Miao Liu
- College of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China
| | - Yu-Ming Wang
- College of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China
| | - Mei-Ling Chen
- College of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China.
| | - Yu-Bo Li
- College of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China.
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10
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Lee S, Kim HH, Seo J, Jang BC, Yoo H. Disordered Mixture of Self-Assembled Molecular Functional Groups on Heterointerfaces with p-Si Leads to Multiple Key Generation in Physical Unclonable Functions. ACS APPLIED MATERIALS & INTERFACES 2023; 15:1693-1703. [PMID: 36512688 DOI: 10.1021/acsami.2c18740] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Physical unclonable function (PUF) security devices based on hardware are becoming an effective strategy to overcome the dependency of the internet cloud and software-based hacking vulnerabilities. On the other hand, existing Si-based artificial security devices have several issues, including the absence of a method for multiple key generation, complex and expensive fabrication processes, and easy prediction compared to devices retaining natural randomness. Herein, to generate unique and unpredictable multiple security keys, this paper proposes novel PUF devices consisting of a disordered random mixture of two self-assembled monolayers (SAMs) formed onto p-type Si. The proposed PUF devices exhibited multikeys at different voltage biasing, including 0 V, through the arbitrary dipole effect. As a result, multiple unpredictable hardware security keys were generated from one device using a simple solution-coating process. The PUF security device based on the mixture of materials with different dipoles developed in this study can provide valuable insights for implementing various PUF devices in the future.
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Affiliation(s)
- Subin Lee
- Department of Electronic Engineering, Gachon University, 1342 Seongnam-daero, Seongnam13120, Republic of Korea
| | - Hyun Ho Kim
- Department of Energy Engineering Convergence & School of Materials Science and Engineering, Kumoh National Institute of Technology, 61 Daehakro, Gumi39177, Republic of Korea
| | - Juhyung Seo
- Department of Electronic Engineering, Gachon University, 1342 Seongnam-daero, Seongnam13120, Republic of Korea
| | - Byung Chul Jang
- School of Electronic and Electrical Engineering, Kyungpook National University, 80 Daehakro, Bukgu, Daegu41566, Republic of Korea
- School of Electronics Engineering, Kyungpook National University, 80 Daehakro, Bukgu, Daegu41566, Republic of Korea
| | - Hocheon Yoo
- Department of Electronic Engineering, Gachon University, 1342 Seongnam-daero, Seongnam13120, Republic of Korea
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11
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Carneiro P, Loureiro JA, Delerue-Matos C, Morais S, Pereira MDC. Nanostructured label–free electrochemical immunosensor for detection of a Parkinson's disease biomarker. Talanta 2023; 252:123838. [DOI: 10.1016/j.talanta.2022.123838] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 08/02/2022] [Accepted: 08/08/2022] [Indexed: 10/15/2022]
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12
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Bagree G, De Silva O, Liyanage PD, Ramarathinam SH, Sharma SK, Bansal V, Ramanathan R. α-synuclein as a potential biomarker for developing diagnostic tools against neurodegenerative disorders. Trends Analyt Chem 2023. [DOI: 10.1016/j.trac.2023.116922] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
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13
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Navay Baghban H, Hasanzadeh M, Liu Y, Seidi F. Efficient Entrapment of Alpha-Synuclein Biotinylated Antibody in KCC-1-NH-CS 2 and Application for the Sensitive Diagnosis of Parkinson's Using Recognition of Biomarker: An Innovative Electrochemical Label-Free Immunosensor for the Biomedical Analysis of Neurodegenerative Diseases. BIOSENSORS 2022; 12:911. [PMID: 36291047 PMCID: PMC9599316 DOI: 10.3390/bios12100911] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/01/2022] [Revised: 10/18/2022] [Accepted: 10/19/2022] [Indexed: 06/16/2023]
Abstract
The early detection of Parkinson's disease (PD) is a critical issue in terms of efficiency. Alpha-synuclein (α-Syn) is a biomarker in PD checks. Alpha-synuclein (α-syn) is the major constituent of Lewy bodies and a pathogenic hallmark of all synucleinopathies, including PDs, dementia with Lewy bodies, and multiple system atrophy. In this study, KCC-1-NH-CS2 was conjugated with biotinylated Ab and entrapped in P(β-CD) polymer cavities. Using this approach, a novel electrochemical label-free immunosensor was designed for the quantification of α-syn in real human samples. For this purpose, the glassy carbon electrode electropolymerized with P(β-CD) biopolymer provided an excellent matrix for entrapping of KCC-1-NH-CS2 loaded with the biotinylated antibody of α-syn. Using the chronoamperometric technique, the proposed immunosensor shows a suitable range of 0.02 to 64 ng/mL for the determination of α-syn. Additionally, a low limit of quantification of the engineered biosensor was obtained at 0.02 ng/mL. The developed immunosensor's adequate stability, sensitivity, and selectivity, together with its ease of manufacture, make it a promising diagnostic technique for further research. This study also will pave the way for further applications of the synergetic effect of β-CD and KCC-1-NH-CS2 for biomedical analysis in the near future.
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Affiliation(s)
- Hossein Navay Baghban
- Jiangsu Co-Innovation Center for Efficient Processing and Utilization of Forest Resources and International Innovation Center for Forest Chemicals and Materials, Nanjing Forestry University, Nanjing 210037, China
- Pharmaceutical Analysis Research Center, Tabriz University of Medical Sciences, Tabriz 5165665811, Iran
| | - Mohammad Hasanzadeh
- Pharmaceutical Analysis Research Center, Tabriz University of Medical Sciences, Tabriz 5165665811, Iran
- Nutrition Research Center, Tabriz University of Medical Sciences, Tabriz 5165665811, Iran
| | - Yuqian Liu
- Jiangsu Co-Innovation Center for Efficient Processing and Utilization of Forest Resources and International Innovation Center for Forest Chemicals and Materials, Nanjing Forestry University, Nanjing 210037, China
| | - Farzad Seidi
- Jiangsu Co-Innovation Center for Efficient Processing and Utilization of Forest Resources and International Innovation Center for Forest Chemicals and Materials, Nanjing Forestry University, Nanjing 210037, China
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14
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Progress in Electrochemical Biosensing of SARS-CoV-2 Virus for COVID-19 Management. CHEMOSENSORS 2022. [DOI: 10.3390/chemosensors10070287] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Rapid and early diagnosis of lethal coronavirus disease-19 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is an important issue considering global human health, economy, education, and other activities. The advancement of understanding of the chemistry/biochemistry and the structure of the SARS-CoV-2 virus has led to the development of low-cost, efficient, and reliable methods for COVID-19 diagnosis over “gold standard” real-time reverse transcription-polymerase chain reaction (RT-PCR) due to its several limitations. This led to the development of electrochemical sensors/biosensors for rapid, fast, and low-cost detection of the SARS-CoV-2 virus from the patient’s biological fluids by detecting the components of the virus, including structural proteins (antigens), nucleic acid, and antibodies created after COVID-19 infection. This review comprehensively summarizes the state-of-the-art research progress of electrochemical biosensors for COVID-19 diagnosis. They include the detection of spike protein, nucleocapsid protein, whole virus, nucleic acid, and antibodies. The review also outlines the structure of the SARS-CoV-2 virus, different detection methods, and design strategies of electrochemical SARS-CoV-2 biosensors by highlighting the current challenges and future perspectives.
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15
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Karaboğa MNS, Sezgintürk MK. Biosensor approaches on the diagnosis of neurodegenerative diseases: Sensing the past to the future. J Pharm Biomed Anal 2022; 209:114479. [PMID: 34861607 DOI: 10.1016/j.jpba.2021.114479] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Revised: 11/05/2021] [Accepted: 11/14/2021] [Indexed: 12/12/2022]
Abstract
Early diagnosis of neurodegeneration-oriented diseases that develop with the aging world is essential for improving the patient's living conditions as well as the treatment of the disease. Alzheimer's and Parkinson's diseases are prominent examples of neurodegeneration characterized by dementia leading to the death of nerve cells. The clinical diagnosis of these diseases only after the symptoms appear, delays the treatment process. Detection of biomarkers, which are distinctive molecules in biological fluids, involved in neurodegeneration processes, has the potential to allow early diagnosis of neurodegenerative diseases. Studies on biosensors, whose main responsibility is to detect the target analyte with high specificity, has gained momentum in recent years with the aim of high detection of potential biomarkers of neurodegeneration process. This study aims to provide an overview of neuro-biosensors developed on the basis of biomarkers identified in biological fluids for the diagnosis of neurodegenerative diseases such as Alzheimer's disease (AD), and Parkinson's disease (PD), and to provide an overview of the urgent needs in this field, emphasizing the importance of early diagnosis in the general lines of the neurodegeneration pathway. In this review, biosensor systems developed for the detection of biomarkers of neurodegenerative diseases, especially in the last 5 years, are discussed.
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16
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17
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Rahman MM, Lopa NS, Lee J. Advances in electrochemical aptasensing for cardiac biomarkers. B KOREAN CHEM SOC 2021. [DOI: 10.1002/bkcs.12434] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Affiliation(s)
| | - Nasrin Siraj Lopa
- Research Center for Photoenergy Harvesting & Conversion Technology (phct), Department of Energy and Materials Engineering Dongguk University Seoul South Korea
| | - Jae‐Joon Lee
- Research Center for Photoenergy Harvesting & Conversion Technology (phct), Department of Energy and Materials Engineering Dongguk University Seoul South Korea
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18
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Pal A, Biswas S, O Kare SP, Biswas P, Jana SK, Das S, Chaudhury K. Development of an impedimetric immunosensor for machine learning-based detection of endometriosis: A proof of concept. SENSORS AND ACTUATORS B: CHEMICAL 2021; 346:130460. [DOI: 10.1016/j.snb.2021.130460] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/19/2023]
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19
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Enhanced Plasmonic Biosensor Utilizing Paired Antibody and Label-Free Fe 3O 4 Nanoparticles for Highly Sensitive and Selective Detection of Parkinson's α-Synuclein in Serum. BIOSENSORS-BASEL 2021; 11:bios11100402. [PMID: 34677358 PMCID: PMC8534275 DOI: 10.3390/bios11100402] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/19/2021] [Revised: 10/09/2021] [Accepted: 10/14/2021] [Indexed: 12/12/2022]
Abstract
Parkinson’s disease (PD) is an acute and progressive neurodegenerative disorder, and diagnosis of the disease at its earliest stage is of paramount importance to improve the life expectancy of patients. α-Synuclein (α-syn) is a potential biomarker for the early diagnosis of PD, and there is a great need to develop a biosensing platform that precisely detects α-syn in human body fluids. Herein, we developed a surface plasmon resonance (SPR) biosensor based on the label-free iron oxide nanoparticles (Fe3O4 NPs) and paired antibody for the highly sensitive and selective detection of α-syn in serum samples. The sensitivity of the SPR platform is enhanced significantly by directly depositing Fe3O4 NPs on the Au surface at a high density to increase the decay length of the evanescent field on the Au film. Moreover, the utilization of rabbit-type monoclonal antibody (α-syn-RmAb) immobilized on Au films allows the SPR platform to have a high affinity-selectivity binding performance compared to mouse-type monoclonal antibodies as a common bioreceptor for capturing α-syn molecules. As a result, the current platform has a detection limit of 5.6 fg/mL, which is 20,000-fold lower than that of commercial ELISA. The improved sensor chip can also be easily regenerated to repeat the α-syn measurement with the same sensitivity. Furthermore, the SPR sensor was applied to the direct analysis of α-syn in serum samples. By using a format of paired α-syn-RmAb, the SPR sensor provides a recovery rate in the range from 94.5% to 104.3% to detect the α-syn in diluted serum samples precisely. This work demonstrates a highly sensitive and selective quantification approach to detect α-syn in human biofluids and paves the way for the future development in the early diagnosis of PD.
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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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21
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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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22
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Tao D, Gu Y, Song S, Nguyen EP, Cheng J, Yuan Q, Pan H, Jaffrezic-Renault N, Guo Z. Ultrasensitive detection of alpha-synuclein oligomer using a PolyD-glucosamine/gold nanoparticle/carbon-based nanomaterials modified electrochemical immunosensor in human plasma. Microchem J 2020. [DOI: 10.1016/j.microc.2020.105195] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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23
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Yang X, Li H, Zhao X, Liao W, Zhang CX, Yang Z. A novel, label-free liquid crystal biosensor for Parkinson's disease related alpha-synuclein. Chem Commun (Camb) 2020; 56:5441-5444. [PMID: 32292959 DOI: 10.1039/d0cc01025a] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
A liquid crystal biosensor based on DNA aptamer for sensitive detection of Parkinson's Disease (PD) related alpha-synuclein was developed. This LC biosensor is constructed using a simple and label free method, and it not only enables early PD diagnosis, but also provides a general platform for detection based on DNA aptamer.
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Affiliation(s)
- Xiuxiu Yang
- Key Laboratory of Organic Optoelectronics and Molecular Engineering of the Ministry of Education, Department of Chemistry, Tsinghua University, Beijing 100084, China.
| | - Haiyu Li
- Key Laboratory of Organic Optoelectronics and Molecular Engineering of the Ministry of Education, Department of Chemistry, Tsinghua University, Beijing 100084, China.
| | - Xiaofang Zhao
- Beijing Institute of Brain Disorders, Laboratory of Brain Disorders, Ministry of Science and Technology, Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing, China.
| | - Wei Liao
- Key Laboratory of Organic Optoelectronics and Molecular Engineering of the Ministry of Education, Department of Chemistry, Tsinghua University, Beijing 100084, China.
| | - Claire Xi Zhang
- Beijing Institute of Brain Disorders, Laboratory of Brain Disorders, Ministry of Science and Technology, Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing, China.
| | - Zhongqiang Yang
- Key Laboratory of Organic Optoelectronics and Molecular Engineering of the Ministry of Education, Department of Chemistry, Tsinghua University, Beijing 100084, China.
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