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Peng B, Wang Y, Xie Y, Dong X, Liu W, Li D, Chen H. An overview of influenza A virus detection methods: from state-of-the-art of laboratories to point-of-care strategies. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2024; 16:4496-4515. [PMID: 38946516 DOI: 10.1039/d4ay00508b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/02/2024]
Abstract
Influenza A virus (IAV), a common respiratory infectious pathogen, poses a significant risk to personal health and public health safety due to rapid mutation and wide host range. To better prevent and treat IAV, comprehensive measures are needed for early and rapid screening and detection of IAV. Although traditional laboratory-based techniques are accurate, they are often time-consuming and not always feasible in emergency or resource-limited areas. In contrast, emerging point-of-care strategies provide faster results but may compromise sensitivity and specificity. Here, this review critically evaluates various detection methods for IAV from established laboratory-based procedures to innovative rapid diagnosis. By analyzing the recent research progress, we aim to address significant gaps in understanding the effectiveness, practicality, and applicability of these methods in different scenarios, which could provide information for healthcare strategies, guide public health response measures, and ultimately strengthen patient care in the face of the ongoing threat of IAV. Through a detailed comparison of diagnostic models, this review can provide a reliable reference for rapid, accurate and efficient detection of IAV, and to contribute to the diagnosis, treatment, prevention, and control of IAV.
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Affiliation(s)
- Bin Peng
- Guangzhou Huashang Vocational College, Guangzhou, 510000, China
| | - Yaqi Wang
- Guangzhou Institute for Food Inspection, Guangzhou, 510000, China
| | - Yueliang Xie
- Guangdong Agriculture Industry Business Polytechnic College, Guangzhou, 510000, China
| | - Xiangyan Dong
- State Key Laboratory of Chemical Oncogenomics, Institute of Biomedical and Health Engineering, Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China.
| | - Wen Liu
- Guangdong Agriculture Industry Business Polytechnic College, Guangzhou, 510000, China
| | - Dan Li
- College of Pharmacy, Jinzhou Medical University, Jinzhou, 121000, China
| | - Hui Chen
- State Key Laboratory of Chemical Oncogenomics, Institute of Biomedical and Health Engineering, Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China.
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2
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Battisti A, Samal SK, Puppi D. Biosensing Systems Based on Graphene Oxide Fluorescence Quenching Effect. MICROMACHINES 2023; 14:1522. [PMID: 37630058 PMCID: PMC10456591 DOI: 10.3390/mi14081522] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 07/20/2023] [Accepted: 07/26/2023] [Indexed: 08/27/2023]
Abstract
Graphene oxide (GO) is a versatile material obtained by the strong oxidation of graphite. Among its peculiar properties, there is the outstanding ability to significantly alter the fluorescence of many common fluorophores and dyes. This property has been exploited in the design of novel switch-ON and switch-OFF fluorescence biosensing platforms for the detection of a plethora of biomolecules, especially pathological biomarkers and environmental contaminants. Currently, novel advanced strategies are being developed for therapeutic, diagnostic and theranostic approaches to widespread pathologies caused by viral or bacterial agents, as well as to cancer. This work illustrates an overview of the most recent applications of GO-based sensing systems relying on its fluorescence quenching effect.
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Affiliation(s)
- Antonella Battisti
- NEST, Istituto Nanoscienze-CNR and Scuola Normale Superiore, p.zza San Silvestro 12, I-56127 Pisa, Italy
| | - Sangram Keshari Samal
- Laboratory of Biomaterials and Regenerative Medicine for Advanced Therapies, ICMR-RMRC, Bhubaneswar 751023, Odisha, India;
| | - Dario Puppi
- BIOLab Research Group, Department of Chemistry and Industrial Chemistry, University of Pisa, UdR INSTM Pisa, Via Moruzzi 13, I-56124 Pisa, Italy;
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3
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Sharifi E, Yousefiasl S, Trovato M, Sartorius R, Esmaeili Y, Goodarzi H, Ghomi M, Bigham A, Moghaddam FD, Heidarifard M, Pourmotabed S, Nazarzadeh Zare E, Paiva-Santos AC, Rabiee N, Wang X, Tay FR. Nanostructures for prevention, diagnosis, and treatment of viral respiratory infections: from influenza virus to SARS-CoV-2 variants. J Nanobiotechnology 2023; 21:199. [PMID: 37344894 PMCID: PMC10283343 DOI: 10.1186/s12951-023-01938-8] [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: 12/21/2022] [Accepted: 05/24/2023] [Indexed: 06/23/2023] Open
Abstract
Viruses are a major cause of mortality and socio-economic downfall despite the plethora of biopharmaceuticals designed for their eradication. Conventional antiviral therapies are often ineffective. Live-attenuated vaccines can pose a safety risk due to the possibility of pathogen reversion, whereas inactivated viral vaccines and subunit vaccines do not generate robust and sustained immune responses. Recent studies have demonstrated the potential of strategies that combine nanotechnology concepts with the diagnosis, prevention, and treatment of viral infectious diseases. The present review provides a comprehensive introduction to the different strains of viruses involved in respiratory diseases and presents an overview of recent advances in the diagnosis and treatment of viral infections based on nanotechnology concepts and applications. Discussions in diagnostic/therapeutic nanotechnology-based approaches will be focused on H1N1 influenza, respiratory syncytial virus, human parainfluenza virus type 3 infections, as well as COVID-19 infections caused by the SARS-CoV-2 virus Delta variant and new emerging Omicron variant.
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Affiliation(s)
- Esmaeel Sharifi
- Department of Tissue Engineering and Biomaterials, School of Advanced Medical Sciences and Technologies, Hamadan University of Medical Sciences, Hamadan, 6517838736, Iran.
| | - Satar Yousefiasl
- Dental Research Center, Dentistry Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Maria Trovato
- Institute of Biochemistry and Cell Biology (IBBC), National Research Council (CNR), 80131, Naples, Italy
| | - Rossella Sartorius
- Institute of Biochemistry and Cell Biology (IBBC), National Research Council (CNR), 80131, Naples, Italy
| | - Yasaman Esmaeili
- School of Advanced Technologies in Medicine, Biosensor Research Center, Isfahan University of Medical Sciences, Isfahan, 8174673461, Iran
| | - Hamid Goodarzi
- Centre de recherche, Hôpital Maisonneuve-Rosemont, Montreal, QC, Canada
- Départment d'Ophtalmologie, Université de Montréal, Montreal, QC, Canada
| | - Matineh Ghomi
- School of Chemistry, Damghan University, Damghan, 36716-45667, Iran
| | - Ashkan Bigham
- Department of Tissue Engineering and Biomaterials, School of Advanced Medical Sciences and Technologies, Hamadan University of Medical Sciences, Hamadan, 6517838736, Iran
| | - Farnaz Dabbagh Moghaddam
- Institute for Photonics and Nanotechnologies, National Research Council, Via Fosso del Cavaliere, 100, 00133, Rome, Italy
| | - Maryam Heidarifard
- Centre de recherche, Hôpital Maisonneuve-Rosemont, Montreal, QC, Canada
- Départment d'Ophtalmologie, Université de Montréal, Montreal, QC, Canada
| | - Samiramis Pourmotabed
- Department of Emergency Medicine, School of Medicine, Hamadan University of Medical Sciences, Hamadan, 6517838736, Iran
| | | | - Ana Cláudia Paiva-Santos
- Department of Pharmaceutical Technology, Faculty of Pharmacy of the University of Coimbra, University of Coimbra, 3000-548, Coimbra, Portugal
- Group of Pharmaceutical Technology, Faculty of Pharmacy of the University of Coimbra, University of Coimbra, 3000-548, Coimbra, Portugal
| | - Navid Rabiee
- School of Engineering, Macquarie University, Sydney, NSW, 2109, Australia
- Department of Materials Science and Engineering, Pohang University of Science and Technology (POSTECH), 77 Cheongam-ro, Nam-gu, Pohang, Gyeongbuk, 37673, Republic of Korea
| | - Xiangdong Wang
- Department of Pulmonary and Critical Care Medicine, Zhongshan Hospital, Fudan University Shanghai Medical College, Shanghai, 200032, China
| | - Franklin R Tay
- The Graduate School, Augusta University, Augusta, GA, 30912, USA.
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4
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Innovations in the synthesis of graphene nanostructures for bio and gas sensors. BIOMATERIALS ADVANCES 2023; 145:213234. [PMID: 36502548 DOI: 10.1016/j.bioadv.2022.213234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Revised: 11/11/2022] [Accepted: 11/30/2022] [Indexed: 12/12/2022]
Abstract
Sensors play a significant role in modern technologies and devices used in industries, hospitals, healthcare, nanotechnology, astronomy, and meteorology. Sensors based upon nanostructured materials have gained special attention due to their high sensitivity, precision accuracy, and feasibility. This review discusses the fabrication of graphene-based biosensors and gas sensors, which have highly efficient performance. Significant developments in the synthesis routes to fabricate graphene-based materials with improved structural and surface properties have boosted their utilization in sensing applications. The higher surface area, better conductivity, tunable structure, and atom-thick morphology of these hybrid materials have made them highly desirable for the fabrication of flexible and stable sensors. Many publications have reported various modification approaches to improve the selectivity of these materials. In the current work, a compact and informative review focusing on the most recent developments in graphene-based biosensors and gas sensors has been designed and delivered. The research community has provided a complete critical analysis of the most robust case studies from the latest fabrication routes to the most complex challenges. Some significant ideas and solutions have been proposed to overcome the limitations regarding the field of biosensors and hazardous gas sensors.
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Eksin E, Erdem A. Recent Progress on Optical Biosensors Developed for Nucleic Acid Detection Related to Infectious Viral Diseases. MICROMACHINES 2023; 14:mi14020295. [PMID: 36837995 PMCID: PMC9966969 DOI: 10.3390/mi14020295] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Revised: 01/16/2023] [Accepted: 01/19/2023] [Indexed: 05/28/2023]
Abstract
Optical biosensors have many advantages over traditional analytical methods. They enable the identification of several biological and chemical compounds directly, instantly, and without the need of labels. Their benefits include excellent specificity, sensitivity, compact size, and low cost. In this review, the main focus is placed on the nucleic acid-based optical biosensor technologies, including colorimetric, fluorescence, surface plasmon resonance (SPR), Evanescent-Wave Optical, Fiber optic and bioluminescent optical fibre. The fundamentals of each type of biosensor are briefly explained, and particular emphasis has been placed on the achievements which have been gained in the last decade on the field of diagnosis of infectious viral diseases. Concluding remarks concerning the perspectives of further developments are discussed.
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Affiliation(s)
- Ece Eksin
- Biomedical Device Technology Program, Vocational School of Health Services, Izmir Democracy University, 35290 Izmir, Turkey
| | - Arzum Erdem
- Department of Analytical Chemistry, Faculty of Pharmacy, Ege University, 35100 Izmir, Turkey
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Anusuyadevi K, Velmathi S. Design strategies of carbon nanomaterials in fluorescent sensing of biomolecules and metal ions -A review. RESULTS IN CHEMISTRY 2023. [DOI: 10.1016/j.rechem.2023.100918] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/08/2023] Open
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7
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Zeng Y, Zhou L, Yang Z, Yu X, Song Z, He Y. High sensitivity SARS-CoV-2 detection using graphene oxide-multiplex qPCR. Anal Chim Acta 2022; 1234:340533. [PMID: 36328724 PMCID: PMC9578719 DOI: 10.1016/j.aca.2022.340533] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Revised: 09/09/2022] [Accepted: 10/16/2022] [Indexed: 11/25/2022]
Abstract
The emerging pandemic of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) critically challenges early and accurate virus diagnoses. However, the current gold standard for SARS-CoV-2 detection, reverse transcription-quantitative polymerase chain reaction (RT-qPCR), has reportedly failed to detect low-viral loads. One compound, graphene oxide (GO), which adsorbs single-stranded DNA (ssDNA), has been widely applied in molecular pathogen detection. This study presents a highly sensitive GO-multiplex qPCR method for simultaneous detection of two SARS-CoV-2 genes (RdRP and E) and one reference gene (RNase P). In a GO-multiplex qPCR system, GO pre-absorbs each forward primer to form specific GO-forward primer composites before entering the amplification system. Target gene amplification is confined within the primer-enriched composites, thus, improving the sensitivity of the assay. Compared to conventional multiplex qPCR, GO-multiplex qPCR reduces the limit of detection by 10-fold to 10 copies/reaction. Hence, the GO-multiplex qPCR assay can be effectively used for SARS-CoV-2 detection.
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Affiliation(s)
- Yuanyuan Zeng
- State Key Laboratory of Southwestern Chinese Medicine Resources, College of Medical Technology, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, 611137, China
| | - Lili Zhou
- School of Laboratory Medicine, Chengdu Medical College, Chengdu, Sichuan, 610500, China
| | - Zhongzhu Yang
- State Key Laboratory of Southwestern Chinese Medicine Resources, College of Medical Technology, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, 611137, China
| | - Xiuzhong Yu
- Department of Laboratory Medicine, People's Hospital of Xinjin District, Chengdu, Sichuan, 611430, China
| | - Zhen Song
- State Key Laboratory of Southwestern Chinese Medicine Resources, College of Medical Technology, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, 611137, China
| | - Yang He
- State Key Laboratory of Southwestern Chinese Medicine Resources, College of Medical Technology, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, 611137, China.
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8
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Fluorescent Biosensors for the Detection of Viruses Using Graphene and Two-Dimensional Carbon Nanomaterials. BIOSENSORS 2022; 12:bios12070460. [PMID: 35884263 PMCID: PMC9312944 DOI: 10.3390/bios12070460] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Revised: 06/13/2022] [Accepted: 06/14/2022] [Indexed: 11/16/2022]
Abstract
Two-dimensional carbon nanomaterials have been commonly employed in the field of biosensors to improve their sensitivity/limits of detection and shorten the analysis time. These nanomaterials act as efficient transducers because of their unique characteristics, such as high surface area and optical, electrical, and magnetic properties, which in turn have been exploited to create simple, quick, and low-cost biosensing platforms. In this review, graphene and two-dimensional carbon material-based fluorescent biosensors are covered between 2010 and 2021, for the detection of different human viruses. This review specifically focuses on the new developments in graphene and two-dimensional carbon nanomaterials for fluorescent biosensing based on the Förster resonance energy transfer (FRET) mechanism. The high-efficiency quenching capability of graphene via the FRET mechanism enhances the fluorescent-based biosensors. The review provides a comprehensive reference for the different types of carbon nanomaterials employed for the detection of viruses such as Rotavirus, Ebola virus, Influenza virus H3N2, HIV, Hepatitis C virus (HCV), and Hepatitis B virus (HBV). This review covers the various multiplexing detection technologies as a new direction in the development of biosensing platforms for virus detection. At the end of the review, the different challenges in the use of fluorescent biosensors, as well as some insights into how to overcome them, are highlighted.
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9
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Sato Y, Miura H, Tanabe T, Okeke CU, Kikuchi A, Nishizawa S. Fluorescence Sensing of the Panhandle Structure of the Influenza A Virus RNA Promoter by Thiazole Orange Base Surrogate-Carrying Peptide Nucleic Acid Conjugated with Small Molecule. Anal Chem 2022; 94:7814-7822. [PMID: 35604144 DOI: 10.1021/acs.analchem.1c05488] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
We have developed a new class of triplex-forming peptide nucleic acid (PNA)-based fluorogenic probes for sensing of the panhandle structure of the influenza A virus (IAV) RNA promoter region. Here, a small molecule (DPQ) capable of selectively binding to the internal loop structure was conjugated with triplex-forming forced intercalation of the thiazole orange (tFIT) probe with natural PNA nucleobases. The resulting conjugate, tFIT-DPQ, showed a significant light-up response (83-fold) upon strong (Kd = 107 nM) and structure-selective binding to the IAV RNA promoter region under physiological conditions (pH 7.0, 100 mM NaCl). We demonstrated the conjugation of these two units through the suitable spacer was key to show useful binding and fluorogenic signaling functions. tFIT-DPQ facilitated the sensitive and selective detection of IAV RNA based on its binding to the promoter region. Furthermore, we found that tFIT-DPQ could work as a sensitive indicator for screening of test compounds targeting the IAV RNA promoter region in the fluorescence indicator displacement assay.
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Affiliation(s)
- Yusuke Sato
- Department of Chemistry, Graduate School of Science, Tohoku University, Sendai 980-8578, Japan
| | - Hiromasa Miura
- Department of Chemistry, Graduate School of Science, Tohoku University, Sendai 980-8578, Japan
| | - Takaaki Tanabe
- Department of Chemistry, Graduate School of Science, Tohoku University, Sendai 980-8578, Japan
| | - Chioma Uche Okeke
- Department of Chemistry, Graduate School of Science, Tohoku University, Sendai 980-8578, Japan
| | - Akiko Kikuchi
- Department of Kampo and Integrative Medicine, Graduate School of Medicine, Tohoku University, Sendai 980-8575, Japan
| | - Seiichi Nishizawa
- Department of Chemistry, Graduate School of Science, Tohoku University, Sendai 980-8578, Japan
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10
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Zhang Z, Ma P, Ahmed R, Wang J, Akin D, Soto F, Liu BF, Li P, Demirci U. Advanced Point-of-Care Testing Technologies for Human Acute Respiratory Virus Detection. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2022; 34:e2103646. [PMID: 34623709 DOI: 10.1002/adma.202103646] [Citation(s) in RCA: 76] [Impact Index Per Article: 38.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Revised: 08/25/2021] [Indexed: 04/14/2023]
Abstract
The ever-growing global threats to human life caused by the human acute respiratory virus (RV) infections have cost billions of lives, created a significant economic burden, and shaped society for centuries. The timely response to emerging RVs could save human lives and reduce the medical care burden. The development of RV detection technologies is essential for potentially preventing RV pandemic and epidemics. However, commonly used detection technologies lack sensitivity, specificity, and speed, thus often failing to provide the rapid turnaround times. To address this problem, new technologies are devised to address the performance inadequacies of the traditional methods. These emerging technologies offer improvements in convenience, speed, flexibility, and portability of point-of-care test (POCT). Herein, recent developments in POCT are comprehensively reviewed for eight typical acute respiratory viruses. This review discusses the challenges and opportunities of various recognition and detection strategies and discusses these according to their detection principles, including nucleic acid amplification, optical POCT, electrochemistry, lateral flow assays, microfluidics, enzyme-linked immunosorbent assays, and microarrays. The importance of limits of detection, throughput, portability, and specificity when testing clinical samples in resource-limited settings is emphasized. Finally, the evaluation of commercial POCT kits for both essential RV diagnosis and clinical-oriented practices is included.
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Affiliation(s)
- Zhaowei Zhang
- Oil Crops Research Institute of Chinese Academy of Agricultural Sciences, National Reference Laboratory for Agricultural Testing (Biotoxin), Key Laboratory of Biology and Genetic Improvement of Oil Crops, Key Laboratory of Detection for Mycotoxins, Ministry of Agriculture and Rural Affairs, Wuhan, 430062, P. R. China
- Bio-Acoustic MEMS in Medicine (BAMM) Laboratory, Canary Center at Stanford for Cancer Early Detection, Department of Radiology, Stanford School of Medicine, Palo Alto, CA, 94304, USA
| | - Peng Ma
- Bio-Acoustic MEMS in Medicine (BAMM) Laboratory, Canary Center at Stanford for Cancer Early Detection, Department of Radiology, Stanford School of Medicine, Palo Alto, CA, 94304, USA
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics - Hubei Bioinformatics & Molecular Imaging Key Laboratory Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, P. R. China
| | - Rajib Ahmed
- Bio-Acoustic MEMS in Medicine (BAMM) Laboratory, Canary Center at Stanford for Cancer Early Detection, Department of Radiology, Stanford School of Medicine, Palo Alto, CA, 94304, USA
| | - Jie Wang
- Bio-Acoustic MEMS in Medicine (BAMM) Laboratory, Canary Center at Stanford for Cancer Early Detection, Department of Radiology, Stanford School of Medicine, Palo Alto, CA, 94304, USA
| | - Demir Akin
- Bio-Acoustic MEMS in Medicine (BAMM) Laboratory, Canary Center at Stanford for Cancer Early Detection, Department of Radiology, Stanford School of Medicine, Palo Alto, CA, 94304, USA
| | - Fernando Soto
- Bio-Acoustic MEMS in Medicine (BAMM) Laboratory, Canary Center at Stanford for Cancer Early Detection, Department of Radiology, Stanford School of Medicine, Palo Alto, CA, 94304, USA
| | - Bi-Feng Liu
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics - Hubei Bioinformatics & Molecular Imaging Key Laboratory Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, P. R. China
| | - Peiwu Li
- Oil Crops Research Institute of Chinese Academy of Agricultural Sciences, National Reference Laboratory for Agricultural Testing (Biotoxin), Key Laboratory of Biology and Genetic Improvement of Oil Crops, Key Laboratory of Detection for Mycotoxins, Ministry of Agriculture and Rural Affairs, Wuhan, 430062, P. R. China
| | - Utkan Demirci
- Bio-Acoustic MEMS in Medicine (BAMM) Laboratory, Canary Center at Stanford for Cancer Early Detection, Department of Radiology, Stanford School of Medicine, Palo Alto, CA, 94304, USA
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11
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Yim Y, Shin H, Ahn SM, Min DH. Graphene oxide-based fluorescent biosensors and their biomedical applications in diagnosis and drug discovery. Chem Commun (Camb) 2021; 57:9820-9833. [PMID: 34494621 DOI: 10.1039/d1cc02157e] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Graphene oxide (GO), an oxidized derivative of graphene, has received much attention for developing novel fluorescent bioanalytic platforms due to its remarkable optical properties and biocompatibility. The reliable performance and robustness of GO-based biosensors have enabled various applications in the biomedical field including diagnosis and drug discovery. Here, recent advances in the development of GO-based fluorescent biosensors are overviewed, particularly nucleic acid detection and enzyme activity assay. In addition, practical applications in biomarker detection and high-throughput screening are also examined. Lastly, basic design principles and remaining challenges of these types of biosensors are discussed for further progress.
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Affiliation(s)
- Yeajee Yim
- Department of Chemistry, Seoul National University, Seoul 08826, Republic of Korea.
| | - Hojeong Shin
- Department of Chemistry, Seoul National University, Seoul 08826, Republic of Korea.
| | - Seong Min Ahn
- Department of Chemistry, Seoul National University, Seoul 08826, Republic of Korea.
| | - Dal-Hee Min
- Department of Chemistry, Seoul National University, Seoul 08826, Republic of Korea. .,Department of Biological Sciences, Seoul National University, Seoul 08826, Republic of Korea.,Institute of Biotherapeutics Convergence Technology, Lemonex Inc., Seoul 06683, Republic of Korea
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12
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Asghari A, Wang C, Yoo KM, Rostamian A, Xu X, Shin JD, Dalir H, Chen RT. Fast, accurate, point-of-care COVID-19 pandemic diagnosis enabled through advanced lab-on-chip optical biosensors: Opportunities and challenges. APPLIED PHYSICS REVIEWS 2021; 8:031313. [PMID: 34552683 PMCID: PMC8427516 DOI: 10.1063/5.0022211] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/18/2020] [Accepted: 05/21/2021] [Indexed: 05/14/2023]
Abstract
The sudden rise of the worldwide severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic in early 2020 has called into drastic action measures to perform instant detection and reduce the rate of spread. Common clinical and nonclinical diagnostic testing methods have been partially effective in satisfying the increasing demand for fast detection point-of-care (POC) methods to slow down further spread. However, accurate point-of-risk diagnosis of this emerging viral infection is paramount as the need for simultaneous standard operating procedures and symptom management of SARS-CoV-2 will be the norm for years to come. A sensitive, cost-effective biosensor with mass production capability is crucial until a universal vaccination becomes available. Optical biosensors can provide a noninvasive, extremely sensitive rapid detection platform with sensitivity down to ∼67 fg/ml (1 fM) concentration in a few minutes. These biosensors can be manufactured on a mass scale (millions) to detect the COVID-19 viral load in nasal, saliva, urine, and serological samples, even if the infected person is asymptotic. Methods investigated here are the most advanced available platforms for biosensing optical devices that have resulted from the integration of state-of-the-art designs and materials. These approaches include, but are not limited to, integrated optical devices, plasmonic resonance, and emerging nanomaterial biosensors. The lab-on-chip platforms examined here are suitable not only for SARS-CoV-2 spike protein detection but also for other contagious virions such as influenza and Middle East respiratory syndrome (MERS).
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Affiliation(s)
- Aref Asghari
- Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, Texas 78758, USA
| | - Chao Wang
- Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, Texas 78758, USA
| | - Kyoung Min Yoo
- Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, Texas 78758, USA
| | - Ali Rostamian
- Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, Texas 78758, USA
| | - Xiaochuan Xu
- Omega Optics, Inc., 8500 Shoal Creek Blvd., Austin, Texas 78757, USA
| | - Jong-Dug Shin
- Omega Optics, Inc., 8500 Shoal Creek Blvd., Austin, Texas 78757, USA
| | - Hamed Dalir
- Omega Optics, Inc., 8500 Shoal Creek Blvd., Austin, Texas 78757, USA
| | - Ray T. Chen
- Author to whom correspondence should be addressed:
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13
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Ghosh T, Mondal A, Vamsi Bharadwaj SV, Mishra S. A naturally fluorescent protein C-phycoerythrin and graphene oxide bio-composite as a selective fluorescence 'turn off/on' probe for DNA quantification and characterization. Int J Biol Macromol 2021; 185:644-653. [PMID: 34217741 DOI: 10.1016/j.ijbiomac.2021.06.201] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Revised: 06/28/2021] [Accepted: 06/29/2021] [Indexed: 10/21/2022]
Abstract
Highly specific graphene-DNA interactions have been at the forefront of graphene-based sensor design for various analytes, including DNA itself. However, in addition to its detection, DNA also needs to be characterized according to its size and concentration in a sample, which is an additional analytical step. Designing a highly sensitive and selective DNA sensing and characterization platform is, thus, of great interest. The present study demonstrates that a bio-derived, naturally fluorescent protein C-phycoerythrin (CPE) - graphene oxide (GO) bio-composite can be used to detect dsDNA in nanomolar quantities efficiently via fluorescent "turn off/on" mechanism. Interaction with GO temporarily quenches CPE fluorescence in a dose-dependent manner. Analytical characterization indicates an indirect charge transfer with a corresponding loss of crystalline GO structure. The fluorescence is regained with the addition of DNA, while other biomolecules do not pose any hinderance in the detection process. The extent of regain is DNA length dependent, and the corresponding calibration curve successfully quantifies the size of an unknown DNA. The incubation time for detection is ~3-5 min. The bio-composite platform also works successfully in a complex biomolecule matrix and cell lysate. However, the presence of serum albumin poses a hinderance in the serum sample. Particle size analysis proves that CPE displacement from GO surface by the incoming DNA is the reason for the 'turn on' response, and that the sensing process is exclusive to dsDNA. This new platform could be an exciting and rapid DNA sensing and characterization tool.
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Affiliation(s)
- Tonmoy Ghosh
- Applied Phycology and Biotechnology Division, CSIR - Central Salt and Marine Chemicals Research Institute, Gijubhai Badheka Marg, Bhavnagar 364002, Gujarat, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, Uttar Pradesh, India.
| | - Aniruddha Mondal
- Inorganic Materials and Catalysis Division, CSIR - Central Salt and Marine Chemicals Research Institute, Gijubhai Badheka Marg, Bhavnagar 364002, Gujarat, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, Uttar Pradesh, India
| | - S V Vamsi Bharadwaj
- Applied Phycology and Biotechnology Division, CSIR - Central Salt and Marine Chemicals Research Institute, Gijubhai Badheka Marg, Bhavnagar 364002, Gujarat, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, Uttar Pradesh, India
| | - Sandhya Mishra
- Applied Phycology and Biotechnology Division, CSIR - Central Salt and Marine Chemicals Research Institute, Gijubhai Badheka Marg, Bhavnagar 364002, Gujarat, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, Uttar Pradesh, India.
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14
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Sohrabi F, Saeidifard S, Ghasemi M, Asadishad T, Hamidi SM, Hosseini SM. Role of plasmonics in detection of deadliest viruses: a review. EUROPEAN PHYSICAL JOURNAL PLUS 2021; 136:675. [PMID: 34178567 PMCID: PMC8214556 DOI: 10.1140/epjp/s13360-021-01657-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Accepted: 06/08/2021] [Indexed: 05/09/2023]
Abstract
Viruses have threatened animal and human lives since a long time ago all over the world. Some of these tiny particles have caused disastrous pandemics that killed a large number of people with subsequent economic downturns. In addition, the quarantine situation itself encounters the challenges like the deficiency in the online educational system, psychiatric problems and poor international relations. Although viruses have a rather simple protein structure, they have structural heterogeneity with a high tendency to mutation that impedes their study. On top of the breadth of such worldwide worrying issues, there are profound scientific gaps, and several unanswered questions, like lack of vaccines or antivirals to combat these pathogens. Various detection techniques like the nucleic acid test, immunoassay, and microscopy have been developed; however, there is a tradeoff between their advantages and disadvantages like safety in sample collecting, invasiveness, sensitivity, response time, etc. One of the highly resolved techniques that can provide early-stage detection with fast experiment duration is plasmonics. This optical technique has the capability to detect viral proteins and genomes at the early stage via highly sensitive interaction between the biological target and the plasmonic chip. The efficiency of this technique could be proved using commercialized techniques like reverse transcription polymerase chain reaction (RT-PCR) and enzyme-linked immunosorbent assay (ELISA) techniques. In this study, we aim to review the role of plasmonic technique in the detection of 11 deadliest viruses besides 2 common genital viruses for the human being. This is a rapidly moving topic of research, and a review article that encompasses the current findings may be useful for guiding strategies to deal with the pandemics. By investigating the potential aspects of this technique, we hope that this study could open new avenues toward the application of point-of-care techniques for virus detection at early stage that may inhibit the progressively hygienic threats.
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Affiliation(s)
- Foozieh Sohrabi
- Magneto-Plasmonic Lab, Laser and Plasma Research Institute, Shahid Beheshti University, Daneshju Boulevard, 1983969411 Tehran, Iran
| | - Sajede Saeidifard
- Magneto-Plasmonic Lab, Laser and Plasma Research Institute, Shahid Beheshti University, Daneshju Boulevard, 1983969411 Tehran, Iran
| | - Masih Ghasemi
- Magneto-Plasmonic Lab, Laser and Plasma Research Institute, Shahid Beheshti University, Daneshju Boulevard, 1983969411 Tehran, Iran
| | - Tannaz Asadishad
- Magneto-Plasmonic Lab, Laser and Plasma Research Institute, Shahid Beheshti University, Daneshju Boulevard, 1983969411 Tehran, Iran
| | - Seyedeh Mehri Hamidi
- Magneto-Plasmonic Lab, Laser and Plasma Research Institute, Shahid Beheshti University, Daneshju Boulevard, 1983969411 Tehran, Iran
| | - Seyed Masoud Hosseini
- Department of Microbiology and Microbial Biotechnology, Faculty of Life Sciences and Biotechnology, Shahid Beheshti University, Evin, Tehran, Iran
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15
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Sengupta J, Hussain CM. Graphene-based field-effect transistor biosensors for the rapid detection and analysis of viruses: A perspective in view of COVID-19. CARBON TRENDS 2021; 2:100011. [PMID: 38620735 PMCID: PMC7834279 DOI: 10.1016/j.cartre.2020.100011] [Citation(s) in RCA: 56] [Impact Index Per Article: 18.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/13/2020] [Revised: 11/17/2020] [Accepted: 11/19/2020] [Indexed: 05/03/2023]
Abstract
Current situation of COVID-19 demands a rapid, reliable, cost-effective, facile detection strategy to break the transmission chain and biosensor has emerged as a feasible solution for this purpose. Introduction of nanomaterials has undoubtedly improved the performance of biosensor and the addition of graphene enhanced the sensing ability to a peerless level. Amongst different graphene-based biosensing schemes, graphene field-effect transistor marked its unique presence owing to its ability of ultrasensitive and low-noise detection thereby facilitating instantaneous measurements even in the presence of small amounts of analytes. Recently, graphene field-effect transistor type biosensor is even successfully employed in rapid detection of SARS-CoV-2 and this triggers the interest of the scientific community in reviewing the current developments in graphene field-effect transistor. Subsequently, in this article, the recent progress in graphene field-effect transistor type biosensors for the detection of the virus is reviewed and challenges along with their strengths are discussed.
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Affiliation(s)
- Joydip Sengupta
- Department of Electronic Science, Jogesh Chandra Chaudhuri College (Affiliated to University of Calcutta), Kolkata 700 033, W.B., India
| | - Chaudhery Mustansar Hussain
- Department of Chemistry and Environmental Science, New Jersey Institute of Technology, Newark, New Jersey, USA
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16
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Application of carbon nanomaterials in human virus detection. JOURNAL OF SCIENCE: ADVANCED MATERIALS AND DEVICES 2020; 5. [PMCID: PMC7509950 DOI: 10.1016/j.jsamd.2020.09.005] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2023]
Abstract
Human-pathogenic viruses are still a chief reason for illness and death on the globe, as epitomized by the COVID-19 pandemic instigated by a coronavirus in 2020. Multiple novel sensors have been invented because diseases must be detected and diagnosed as early as possible, and recognition methods have to be carried out with minimal invasivity. Sensors have been particularly developed focusing on miniaturization by the use of nanomaterials for fabricating nanosensors. The nano-sized nature of nanomaterials and their exclusive optical, electronical, magnetical, and mechanical attributes can enhance patient care through the use of sensors with minimal invasivity and extreme sensitivity. Amongst the nanomaterials utilized for fabricating nano-sensors, carbon-based nanomaterials are promising as these sensors respond better to signals in various sensing settings. This review provides an overview of the recent developments in carbon nanomaterial-based biosensors for viral recognition based on the biomarkers that arise from the infection, the nucleic acids from the viruses, and the entire virus. The role of carbon nanomaterials is highlighted by the improvement of sensor and recognition functionality. The Dengue virus, Ebola virus, Hepatits virus, human immunodeficiency virus (HIV), influenza virus, Zika virus and Adenovirus are the virus types reviewed to illustrate the implementation of the techniques. Finally, the drawbacks and advantages of carbon nanomaterial-based biosensors for viral recognition are identified and discussed.
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17
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Jiang Z, Feng B, Xu J, Qing T, Zhang P, Qing Z. Graphene biosensors for bacterial and viral pathogens. Biosens Bioelectron 2020; 166:112471. [PMID: 32777726 PMCID: PMC7382337 DOI: 10.1016/j.bios.2020.112471] [Citation(s) in RCA: 75] [Impact Index Per Article: 18.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Revised: 07/14/2020] [Accepted: 07/21/2020] [Indexed: 02/06/2023]
Abstract
The infection and spread of pathogens (e.g., COVID-19) pose an enormous threat to the safety of human beings and animals all over the world. The rapid and accurate monitoring and determination of pathogens are of great significance to clinical diagnosis, food safety and environmental evaluation. In recent years, with the evolution of nanotechnology, nano-sized graphene and graphene derivatives have been frequently introduced into the construction of biosensors due to their unique physicochemical properties and biocompatibility. The combination of biomolecules with specific recognition capabilities and graphene materials provides a promising strategy to construct more stable and sensitive biosensors for the detection of pathogens. This review tracks the development of graphene biosensors for the detection of bacterial and viral pathogens, mainly including the preparation of graphene biosensors and their working mechanism. The challenges involved in this field have been discussed, and the perspective for further development has been put forward, aiming to promote the development of pathogens sensing and the contribution to epidemic prevention.
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Affiliation(s)
- Zixin Jiang
- College of Environment and Resources, Xiangtan University, Xiangtan, 411105, Hunan Province, China
| | - Bo Feng
- College of Environment and Resources, Xiangtan University, Xiangtan, 411105, Hunan Province, China.
| | - Jin Xu
- College of Environment and Resources, Xiangtan University, Xiangtan, 411105, Hunan Province, China
| | - Taiping Qing
- College of Environment and Resources, Xiangtan University, Xiangtan, 411105, Hunan Province, China.
| | - Peng Zhang
- College of Environment and Resources, Xiangtan University, Xiangtan, 411105, Hunan Province, China
| | - Zhihe Qing
- Hunan Provincial Key Laboratory of Cytochemistry, School of Chemistry and Food Engineering, Changsha University of Science and Technology, Changsha, 410114, Hunan Province, China.
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18
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Vermisoglou E, Panáček D, Jayaramulu K, Pykal M, Frébort I, Kolář M, Hajdúch M, Zbořil R, Otyepka M. Human virus detection with graphene-based materials. Biosens Bioelectron 2020; 166:112436. [PMID: 32750677 PMCID: PMC7375321 DOI: 10.1016/j.bios.2020.112436] [Citation(s) in RCA: 92] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Revised: 06/22/2020] [Accepted: 07/07/2020] [Indexed: 02/06/2023]
Abstract
Our recent experience of the COVID-19 pandemic has highlighted the importance of easy-to-use, quick, cheap, sensitive and selective detection of virus pathogens for the efficient monitoring and treatment of virus diseases. Early detection of viruses provides essential information about possible efficient and targeted treatments, prolongs the therapeutic window and hence reduces morbidity. Graphene is a lightweight, chemically stable and conductive material that can be successfully utilized for the detection of various virus strains. The sensitivity and selectivity of graphene can be enhanced by its functionalization or combination with other materials. Introducing suitable functional groups and/or counterparts in the hybrid structure enables tuning of the optical and electrical properties, which is particularly attractive for rapid and easy-to-use virus detection. In this review, we cover all the different types of graphene-based sensors available for virus detection, including, e.g., photoluminescence and colorimetric sensors, and surface plasmon resonance biosensors. Various strategies of electrochemical detection of viruses based on, e.g., DNA hybridization or antigen-antibody interactions, are also discussed. We summarize the current state-of-the-art applications of graphene-based systems for sensing a variety of viruses, e.g., SARS-CoV-2, influenza, dengue fever, hepatitis C virus, HIV, rotavirus and Zika virus. General principles, mechanisms of action, advantages and drawbacks are presented to provide useful information for the further development and construction of advanced virus biosensors. We highlight that the unique and tunable physicochemical properties of graphene-based nanomaterials make them ideal candidates for engineering and miniaturization of biosensors.
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Affiliation(s)
- Eleni Vermisoglou
- Regional Centre of Advanced Technologies and Materials (RCPTM), Faculty of Science, Palacký University Olomouc, Czech Republic
| | - David Panáček
- Regional Centre of Advanced Technologies and Materials (RCPTM), Faculty of Science, Palacký University Olomouc, Czech Republic; Department of Physical Chemistry, Faculty of Science, Palacký University Olomouc, Czech Republic
| | - Kolleboyina Jayaramulu
- Regional Centre of Advanced Technologies and Materials (RCPTM), Faculty of Science, Palacký University Olomouc, Czech Republic; Department of Chemistry, Indian Institute of Technology Jammu, Jammu & Kashmir, 181221, India
| | - Martin Pykal
- Regional Centre of Advanced Technologies and Materials (RCPTM), Faculty of Science, Palacký University Olomouc, Czech Republic
| | - Ivo Frébort
- Centre of the Region Haná (CRH), Faculty of Science, Palacký University Olomouc, Czech Republic
| | - Milan Kolář
- Department of Microbiology, Faculty of Medicine and Dentistry, Palacký University Olomouc, Czech Republic
| | - Marián Hajdúch
- Institute of Molecular and Translational Medicine (UMTM), Faculty of Medicine and Dentistry, Palacký University Olomouc, Czech Republic
| | - Radek Zbořil
- Regional Centre of Advanced Technologies and Materials (RCPTM), Faculty of Science, Palacký University Olomouc, Czech Republic
| | - Michal Otyepka
- Regional Centre of Advanced Technologies and Materials (RCPTM), Faculty of Science, Palacký University Olomouc, Czech Republic.
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Fluorometric Detection of Oncogenic EML4-ALK Fusion Gene based on a Graphene Oxide System. BIOCHIP JOURNAL 2019. [DOI: 10.1007/s13206-019-3408-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
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20
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A graphene oxide fluorescent sensing platform for sensitive and specific detecting biomarker of radiation-resistant nasopharyngeal carcinoma. Bioorg Med Chem Lett 2019; 29:2383-2386. [DOI: 10.1016/j.bmcl.2019.06.005] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2019] [Revised: 05/26/2019] [Accepted: 06/04/2019] [Indexed: 10/26/2022]
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