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Cui R, Tang H, Huang Q, Ye T, Chen J, Huang Y, Hou C, Wang S, Ramadan S, Li B, Xu Y, Xu L, Li D. AI-assisted smartphone-based colorimetric biosensor for visualized, rapid and sensitive detection of pathogenic bacteria. Biosens Bioelectron 2024; 259:116369. [PMID: 38781695 DOI: 10.1016/j.bios.2024.116369] [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: 03/02/2024] [Revised: 05/02/2024] [Accepted: 05/04/2024] [Indexed: 05/25/2024]
Abstract
Accurate and effective detection is essential to against bacterial infection and contamination. Novel biosensors, which detect bacterial bioproducts and convert them into measurable signals, are attracting attention. We developed an artificial intelligence (AI)-assisted smartphone-based colorimetric biosensor for the visualized, rapid, sensitive detection of pathogenic bacteria by measuring the bacteria secreted hyaluronidase (HAase). The biosensor consists of the chlorophenol red-β-D-galactopyranoside (CPRG)-loaded hyaluronic acid (HA) hydrogel as the bioreactor and the β-galactosidase (β-gal)-loaded agar hydrogel as the signal generator. The HAase degrades the bioreactor and subsequently determines the release of CPRG, which could further react with β-gal to generate signal colors. The self-developed YOLOv5 algorithm was utilized to analyze the signal colors acquired by smartphone. The biosensor can provide a report within 60 min with an ultra-low limit of detection (LoD) of 10 CFU/mL and differentiate between gram-positive (G+) and gram-negative (G-) bacteria. The proposed biosensor was successfully applied in various areas, especially the evaluation of infections in clinical samples with 100% sensitivity. We believe the designed biosensor has the potential to represent a new paradigm of "ASSURED" bacterial detection, applicable for broad biomedical uses.
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Affiliation(s)
- Rongwei Cui
- Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, 518107, China
| | - Huijing Tang
- Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, 518107, China
| | - Qing Huang
- Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, 518107, China
| | - Tingsong Ye
- Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, 518107, China
| | - Jiyang Chen
- School of Biomedical Engineering, Sun Yat-sen University, Shenzhen, 518107, China
| | - Yinshen Huang
- School of Biomedical Engineering, Sun Yat-sen University, Shenzhen, 518107, China
| | - Chongchao Hou
- Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, 518107, China
| | - Sihua Wang
- Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, 518107, China
| | - Sami Ramadan
- Department of Materials, Imperial College London, London, SW7 2AZ, UK
| | - Bing Li
- Institute for Materials Discovery, Department of Chemistry, University College London, London, WC1E 7JE, UK
| | - Yunsheng Xu
- Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, 518107, China; Shenzhen Key Laboratory of Chinese Medicine Active Substance Screening and Translational Research, Shenzhen, 518107, China
| | - Lizhou Xu
- ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou, 311215, China.
| | - Danyang Li
- Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, 518107, China; Shenzhen Key Laboratory of Chinese Medicine Active Substance Screening and Translational Research, Shenzhen, 518107, China.
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Yu S, Pan Y, Tang L, Wu S, Liang C, Zhang GJ, Li YT. Integrated Microfluidic-Transistor Sensing System for Multiplexed Detection of Traumatic Brain Injury Biomarkers. ACS Sens 2024; 9:3017-3026. [PMID: 38889364 DOI: 10.1021/acssensors.4c00194] [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] [Indexed: 06/20/2024]
Abstract
Traumatic brain injury (TBI) is widely recognized as a global public health crisis, affecting millions of people each year, leading to permanent neurologic, emotional, and occupational disability, and highlighting the urgent need for rapid, sensitive, and early assessment. Here, we design a novel and simple lithography-free method for preparing dual-channel graphene-based field-effect transistors (G-FETs) and integrating them with microfluidic channels for simultaneously multiplexed detection of key blood TBI biomarkers: neurofilament light chain (NFL) and glial fibrillary acidic protein (GFAP). The G-FET utilizes an ingenious dual-channel electrode array design, where the source is shared between channels and the drains are independent of each other, which is the key to achieving simultaneous output of dual detection signals. At the same time, the microfluidic chip realizes microscale fluidic control and fast sample response time. This integrated detection system shows excellent sensitivity in biological fluids for the TBI biomarkers with detection limits as low as 55.63 fg/mL for NFL and 144.45 fg/mL for GFAP in phosphate-buffered saline (PBS) buffer, respectively. Finally, the clinical sample analysis shows promising performance for TBI detection, with an area under the curve (AUC) of 0.98 for the two biomarkers. And the combined dual-protein assay is also a good predictor of intracranial injury findings on computed tomography (CT) scans (AUC = 0.907). The integrated microfluidic G-FET device with a dual-signal output strategy has important potential for application in clinical practice, providing more comprehensive information for brain injury assessment.
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Affiliation(s)
- Shanshan Yu
- School of Laboratory Medicine, Hubei University of Chinese Medicine, 16 Huangjia Lake West Road, Wuhan 430065, China
| | - Yuling Pan
- School of Laboratory Medicine, Hubei University of Chinese Medicine, 16 Huangjia Lake West Road, Wuhan 430065, China
| | - Lina Tang
- School of Laboratory Medicine, Hubei University of Chinese Medicine, 16 Huangjia Lake West Road, Wuhan 430065, China
| | - Shimin Wu
- Center for Clinical Laboratory, General Hospital of the Yangtze River Shipping, Wuhan Brain Hospital, Huiji Road, Wuhan 430030, China
| | - Chunzi Liang
- School of Laboratory Medicine, Hubei University of Chinese Medicine, 16 Huangjia Lake West Road, Wuhan 430065, China
| | - Guo-Jun Zhang
- School of Laboratory Medicine, Hubei University of Chinese Medicine, 16 Huangjia Lake West Road, Wuhan 430065, China
| | - Yu-Tao Li
- School of Laboratory Medicine, Hubei University of Chinese Medicine, 16 Huangjia Lake West Road, Wuhan 430065, China
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3
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Zhao W, Zhang W, Chen J, Li H, Han L, Li X, Wang J, Song W, Xu C, Cai X, Wang L. Sensitivity-Enhancing Strategies of Graphene Field-Effect Transistor Biosensors for Biomarker Detection. ACS Sens 2024; 9:2705-2727. [PMID: 38843307 DOI: 10.1021/acssensors.4c00322] [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] [Indexed: 06/29/2024]
Abstract
The ultrasensitive recognition of biomarkers plays a crucial role in the precise diagnosis of diseases. Graphene-based field-effect transistors (GFET) are considered the most promising devices among the next generation of biosensors. GFET biosensors possess distinct advantages, including label-free, ease of integration and operation, and the ability to directly detect biomarkers in liquid environments. This review summarized recent advances in GFET biosensors for biomarker detection, with a focus on interface functionalization. Various sensitivity-enhancing strategies have been overviewed for GFET biosensors, from the perspective of optimizing graphene synthesis and transfer methods, refinement of surface functionalization strategies for the channel layer and gate electrode, design of biorecognition elements and reduction of nonspecific adsorption. Further, this review extensively explores GFET biosensors functionalized with antibodies, aptamers, and enzymes. It delves into sensitivity-enhancing strategies employed in the detection of biomarkers for various diseases (such as cancer, cardiovascular diseases, neurodegenerative disorders, infectious viruses, etc.) along with their application in integrated microfluidic systems. Finally, the issues and challenges in strategies for the modulation of biosensing interfaces are faced by GFET biosensors in detecting biomarkers.
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Affiliation(s)
- Weilong Zhao
- School of Mechanical Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China
- Shandong Institute of Mechanical Design and Research, Jinan 250353, China
| | - Wenhong Zhang
- College of Mechanical Engineering, Donghua University, Shanghai 201620, China
| | - Jun Chen
- School of Mechanical Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China
- Shandong Institute of Mechanical Design and Research, Jinan 250353, China
| | - Huimin Li
- School of Mechanical Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China
- Shandong Institute of Mechanical Design and Research, Jinan 250353, China
| | - Lin Han
- Shenzhen Research Institute of Shandong University, Shenzhen 518057, China
| | - Xinyu Li
- Department of Oncology, Shandong Provincial Hospital Affiliated to Shandong University, Shandong 250021, China
| | - Jing Wang
- College of Mechanical Engineering, Donghua University, Shanghai 201620, China
| | - Wei Song
- Department of Oncology, Shandong Provincial Hospital Affiliated to Shandong University, Shandong 250021, China
| | - Chonghai Xu
- School of Mechanical Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China
- Shandong Institute of Mechanical Design and Research, Jinan 250353, China
| | - Xinxia Cai
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China
| | - Li Wang
- School of Mechanical Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China
- Shandong Institute of Mechanical Design and Research, Jinan 250353, China
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Jin Q, Men K, Li G, Ou T, Lian Z, Deng X, Zhao H, Zhang Q, Ming A, Wei Q, Wei F, Tu H. Ultrasensitive Graphene Field-Effect Biosensors Based on Ferroelectric Polarization of Lithium Niobate for Breast Cancer Marker Detection. ACS APPLIED MATERIALS & INTERFACES 2024; 16:28896-28904. [PMID: 38770712 DOI: 10.1021/acsami.4c05860] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2024]
Abstract
Herein, we present a novel ultrasensitive graphene field-effect transistor (GFET) biosensor based on lithium niobate (LiNbO3) ferroelectric substrate for the application of breast cancer marker detection. The electrical properties of graphene are varied under the electrostatic field, which is generated through the spontaneous polarization of the ferroelectric substrate. It is demonstrated that the properties of interface between graphene and solution are also altered due to the interaction between the electrostatic field and ions. Compared with the graphene field-effect biosensor based on the conventional Si/SiO2 gate structure, our biosensor achieves a higher sensitivity to 64.7 mV/decade and shows a limit of detection down to 1.7 fM (equivalent to 12 fg·mL-1) on the detection of microRNA21 (a breast cancer marker). This innovative design combining GFETs with ferroelectric substrates holds great promise for developing an ultrahigh-sensitivity biosensing platform based on graphene that enables rapid and early disease diagnosis.
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Affiliation(s)
- Qingxi Jin
- State Key Laboratory of Advanced Materials for Smart Sensing, GRINM Group Co., Ltd., Beijing 100088, China
- GRIMAT Engineering Institute Co., Ltd., Beijing 101407, China
- General Research Institute for Nonferrous Metals, Beijing 100088, China
| | - Kuo Men
- State Key Laboratory of Advanced Materials for Smart Sensing, GRINM Group Co., Ltd., Beijing 100088, China
- GRIMAT Engineering Institute Co., Ltd., Beijing 101407, China
- General Research Institute for Nonferrous Metals, Beijing 100088, China
| | - Gangrong Li
- State Key Laboratory of Advanced Materials for Smart Sensing, GRINM Group Co., Ltd., Beijing 100088, China
- GRINM (Guangdong) Institute for Advanced Materials and Technology, Foshan 528000, China
| | - Tianlang Ou
- State Key Laboratory of Advanced Materials for Smart Sensing, GRINM Group Co., Ltd., Beijing 100088, China
- GRINM (Guangdong) Institute for Advanced Materials and Technology, Foshan 528000, China
- General Research Institute for Nonferrous Metals, Beijing 100088, China
| | - Ziwei Lian
- State Key Laboratory of Advanced Materials for Smart Sensing, GRINM Group Co., Ltd., Beijing 100088, China
- GRIMAT Engineering Institute Co., Ltd., Beijing 101407, China
- General Research Institute for Nonferrous Metals, Beijing 100088, China
| | - Xin Deng
- State Key Laboratory of Advanced Materials for Smart Sensing, GRINM Group Co., Ltd., Beijing 100088, China
- GRIMAT Engineering Institute Co., Ltd., Beijing 101407, China
- General Research Institute for Nonferrous Metals, Beijing 100088, China
| | - Hongbin Zhao
- State Key Laboratory of Advanced Materials for Smart Sensing, GRINM Group Co., Ltd., Beijing 100088, China
- General Research Institute for Nonferrous Metals, Beijing 100088, China
| | - Qingzhu Zhang
- Key Laboratory of Microelectronics Devices and Integrated Technology, Institute of Microelectronics, Chinese Academy of Sciences, Beijing 100029, China
| | - Anjie Ming
- State Key Laboratory of Advanced Materials for Smart Sensing, GRINM Group Co., Ltd., Beijing 100088, China
- GRIMAT Engineering Institute Co., Ltd., Beijing 101407, China
- General Research Institute for Nonferrous Metals, Beijing 100088, China
| | - Qianhui Wei
- State Key Laboratory of Advanced Materials for Smart Sensing, GRINM Group Co., Ltd., Beijing 100088, China
- GRINM (Guangdong) Institute for Advanced Materials and Technology, Foshan 528000, China
- General Research Institute for Nonferrous Metals, Beijing 100088, China
| | - Feng Wei
- State Key Laboratory of Advanced Materials for Smart Sensing, GRINM Group Co., Ltd., Beijing 100088, China
- GRINM (Guangdong) Institute for Advanced Materials and Technology, Foshan 528000, China
- General Research Institute for Nonferrous Metals, Beijing 100088, China
| | - Hailing Tu
- State Key Laboratory of Advanced Materials for Smart Sensing, GRINM Group Co., Ltd., Beijing 100088, China
- General Research Institute for Nonferrous Metals, Beijing 100088, China
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Wang S, Li X, Wang X, Wu X, Jiang D, Zhou H, Gao S, Liu J. A triple read-out visible biosensing platform based on multifunctional nanozyme and bipolar electrode for multi-mode detection and imaging of CEA. Biosens Bioelectron 2024; 253:116170. [PMID: 38442619 DOI: 10.1016/j.bios.2024.116170] [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: 11/09/2023] [Revised: 01/01/2024] [Accepted: 02/24/2024] [Indexed: 03/07/2024]
Abstract
In this paper, a proposal of closed bipolar electrode (BPE) and nanozyme based multi-mode biosensing platform is first presented. As a novel integrated chip, multi-mode-BPE (MMBPE) combines enzyme-linked immunoassay (ELISA), electrochemiluminescence (ECL), ECL imaging and light emitting diode (LED) imaging, enabling highly sensitive triple read-out visible detection of cancer embryonic antigen (CEA). The ECL probe Ab2@Au@Co3O4/CoFe2O4 hollow nanocubes (HNCs) with excellent peroxidase (POD) activity is introduced into the BPE cathode through immune adsorption. The Au@Co3O4/CoFe2O4 HNCs can increase the rate of hydrogen peroxide oxidation of TMB, thus promoting the reaction, and can be used for ELISA detection of CEA at different concentrations. The modification of the BPE sensing interface and reporting interface involved the introduction of the luminescent reagent Ru(bpy)32+ to the BPE anode. The decomposition rate of H2O2 increased under the catalytic action of Au@Co3O4/CoFe2O4 HNCs nanozyme, leading to an accelerated electron transfer rate in the MMBPE system and an enhanced ECL signal from Ru(bpy)32+. The LED imaging technology further provides a convenient and visible approach for CEA imaging in which no additional chemicals are needed. The integration of nanoenzymes as the catalytic core in MMBPE system provides impetus, while the combination of nanozymes with BPE expands the application of nanoenzymes in the field of biological analysis. The integration of intelligent chips with multiple modes of detection shows portable, miniaturized, and integrated excellent properties which meets the requirements of modern detection devices and thus offers a flexible approach for determination of nucleic acids, proteins, and cells.
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Affiliation(s)
- Shumin Wang
- Key Laboratory of Optic-electric Sensing and Analytical Chemistry for Life Science, MOE, College of Chemistry and Molecular Engineering, Qingdao University of Science and Technology, Qingdao, 266042, PR China
| | - Xinyue Li
- Key Laboratory of Optic-electric Sensing and Analytical Chemistry for Life Science, MOE, College of Chemistry and Molecular Engineering, Qingdao University of Science and Technology, Qingdao, 266042, PR China
| | - Xinli Wang
- Key Laboratory of Optic-electric Sensing and Analytical Chemistry for Life Science, MOE, College of Chemistry and Molecular Engineering, Qingdao University of Science and Technology, Qingdao, 266042, PR China
| | - Xiaodi Wu
- Key Laboratory of Optic-electric Sensing and Analytical Chemistry for Life Science, MOE, College of Chemistry and Molecular Engineering, Qingdao University of Science and Technology, Qingdao, 266042, PR China
| | - Degang Jiang
- Key Laboratory of Optic-electric Sensing and Analytical Chemistry for Life Science, MOE, College of Chemistry and Molecular Engineering, Qingdao University of Science and Technology, Qingdao, 266042, PR China
| | - Hong Zhou
- Key Laboratory of Optic-electric Sensing and Analytical Chemistry for Life Science, MOE, College of Chemistry and Molecular Engineering, Qingdao University of Science and Technology, Qingdao, 266042, PR China.
| | - Shunxiang Gao
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, PR China.
| | - Jing Liu
- College of Chemical and Biological Engineering, Shandong University of Science and Technology, Qingdao, Shandong, 266590, PR China.
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Mukherjee P, Kundu S, Ganguly R, Barui A, RoyChaudhuri C. Deformed graphene FET biosensor on textured glass coupled with dielectrophoretic trapping for ultrasensitive detection of GFAP. NANOTECHNOLOGY 2024; 35:295502. [PMID: 38604130 DOI: 10.1088/1361-6528/ad3d65] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Accepted: 04/11/2024] [Indexed: 04/13/2024]
Abstract
Numerous efforts have been undertaken to mitigate the Debye screening effect of FET biosensors for achieving higher sensitivity. There are few reports that show sub-femtomolar detection of biomolecules by FET mechanisms but they either suffer from significant background noise or lack robust control. In this aspect, deformed/crumpled graphene has been recently deployed by other researchers for various biomolecule detection like DNA, COVID-19 spike proteins and immunity markers like IL-6 at sub-femtomolar levels. However, the chemical vapor deposition (CVD) approach for graphene fabrication suffers from various surface contamination while the transfer process induces structural defects. In this paper, an alternative fabrication methodology has been proposed where glass substrate has been initially texturized by wet chemical etching through the sacrificial layer of synthesized silver nanoparticles, obtained by annealing of thin silver films leading to solid state dewetting. Graphene has been subsequently deposited by thermal reduction technique from graphene oxide solution. The resulting deformed graphene structure exhibits higher sensor response towards glial fibrillary acidic protein (GFAP) detection with respect to flat graphene owing to the combined effect of reduced Debye screening and higher surface area for receptor immobilization. Additionally, another interesting aspect of the reported work lies in the biomolecule capture by dielectrophoretic (DEP) transport on the crests of the convex surfaces of graphene in a coplanar gated topology structure which has resulted in 10 aM and 28 aM detection limits of GFAP in buffer and undiluted plasma respectively, within 15 min of application of analyte. The detection limit in buffer is almost four decades lower than that documented for GFAP using biosensors which is is expected to pave way for advancing graphene FET based sensors towards ultrasensitive point-of-care diagnosis of GFAP, a biomarker for traumatic brain injury.
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Affiliation(s)
- P Mukherjee
- Department of Electronics & Telecommunication Engineering, Indian Institute of Engineering Science & Technology, Shibpur, Howrah, India
| | - S Kundu
- Dr Bholanath Chakraborty Memorial Fundamental Research Laboratory (under CCRH), Centre of Healthcare Science & Technology, Indian Institute of Engineering Science & Technology, Shibpur, Howrah, India
| | - R Ganguly
- Centre of Healthcare Science & Technology, Indian Institute of Engineering Science & Technology, Shibpur, Howrah, India
| | - A Barui
- Centre of Healthcare Science & Technology, Indian Institute of Engineering Science & Technology, Shibpur, Howrah, India
| | - C RoyChaudhuri
- Department of Electronics & Telecommunication Engineering, Indian Institute of Engineering Science & Technology, Shibpur, Howrah, India
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Ming P, Li J, Yang L, Yu Y, Tang L, Zhou H, Zhang ZY, Zhang GJ. A Drug Molecule-Modified Graphene Field-Effect Transistor Nanosensor for Rapid, Label-Free, and Ultrasensitive Detection of Estrogen Receptor α Protein. Anal Chem 2024; 96:3454-3461. [PMID: 38359782 DOI: 10.1021/acs.analchem.3c04809] [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: 02/17/2024]
Abstract
Estrogen receptor α (ERα) is an important biomarker in breast cancer diagnosis and treatment. Sensitive and accurate detection of ERα protein expression is crucial in guiding selection of an appropriate therapeutic strategy to improve the effectiveness and prognosis of breast cancer treatment. Herein, we report a liquid-gated graphene field-effect transistor (FET) biosensor that enables rapid, sensitive, and label-free detection of the ERα protein by employing a novel drug molecule as a capture probe. The drug molecule was synthesized and subsequently immobilized onto the sensing surface of the fabricated graphene FET, which was able to distinguish the ERα-positive from the ERα-negative protein. The developed sensor not only demonstrated a low detection limit (LOD: 2.62 fM) but also achieved a fast response to ERα protein samples within 30 min. Moreover, depending on the relationship between the change of dirac point and the ERα protein concentrations, the dissociation constant (Kd) was estimated to be 7.35 ± 0.06 pM, indicating that the drug probe-modified graphene FET had a good affinity with ERα protein. The nanosensor was able to analyze ERα proteins from 36 cell samples lysates. These results show that the graphene FET sensor was able to differentiate between ERα-positive and ERα-negative cells, indicating a promising biosensor for the ultrasensitive and rapid detection of ERα protein without antibody labeling.
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Affiliation(s)
- Pinghong Ming
- School of Laboratory Medicine, Hubei University of Chinese Medicine, 16 Huangjia Lake West Road, Wuhan 430065, P. R. China
- Department of Clinical Laboratory, The People's Hospital of Longhua, Shenzhen 518109, P. R. China
| | - Jiahao Li
- School of Laboratory Medicine, Hubei University of Chinese Medicine, 16 Huangjia Lake West Road, Wuhan 430065, P. R. China
| | - Lu Yang
- Department of Radiology, The Affiliated Hospital of Southwest Medical University, Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province, Luzhou 646000, P. R. China
| | - Yi Yu
- School of Laboratory Medicine, Hubei University of Chinese Medicine, 16 Huangjia Lake West Road, Wuhan 430065, P. R. China
| | - Lina Tang
- School of Laboratory Medicine, Hubei University of Chinese Medicine, 16 Huangjia Lake West Road, Wuhan 430065, P. R. China
| | - Haibing Zhou
- Hubei Provincial Key Laboratory of Developmentally Originated Disease, State Key Laboratory of Virology, Wuhan University School of Pharmaceutical Sciences, Wuhan 430071, P. R. China
| | - Zhi-Yong Zhang
- Key Laboratory for the Physics and Chemistry of Nanodevices and Center for Carbon-based Electronics, School of Electronics, Peking University, Beijing 100871, P. R. China
| | - Guo-Jun Zhang
- School of Laboratory Medicine, Hubei University of Chinese Medicine, 16 Huangjia Lake West Road, Wuhan 430065, P. R. China
- Hubei Shizhen Laboratory, Hubei University of Chinese Medicine, 16 Huangjia Lake West Road, Wuhan 430065, P. R. China
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8
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Jing Q, Liu J, Wang H, Wang Y, Xue H, Ren S, Wang W, Zhang X, Xu Z, Fu W. Ultrasensitive Biochemical Sensing Platform Enabled by Directly Grown Graphene on Insulator. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2023:e2305363. [PMID: 38105346 DOI: 10.1002/smll.202305363] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/09/2023] [Revised: 11/06/2023] [Indexed: 12/19/2023]
Abstract
To fabricate label-free and rapid-resulting semiconducting biosensor devices incorporating graphene, it is pertinent to directly grow uniform graphene films on technologically important dielectric and semiconducting substrates. However, it has long been intuitively believed that the nonideal disordered structures formed during direct growth, and the resulted inferior electrical properties will inevitably lead to deteriorated sensing performance. Here, graphene biosensor chips are constructed based on direct plasma-enhanced chemical vapor deposition (PECVD) grown graphene on a 4-inch silicon wafer with excellent film uniformity and high yield. To surprise, optimal operations of graphene biosensors permit ultrasensitive detection of SARS-CoV-2 virus nucleocapsid protein with dilutions down to sub-femtomolar concentrations. Such impressive limit of detection (LOD) is comparable to or even outperforms that of the state-of-the-art biosensor devices based on high-quality graphene. Further noise spectral characterizations and analysis confirms that the LOD is limited by molecular diffusion and/or known interference signals such as drift and instability of the sensors, rather than the electrical merits of the graphene devices along. Hence, result sheds light on processing directly grown PECVD graphene into high-performance sensor devices with important economic benefits and social significance.
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Affiliation(s)
- Qiushi Jing
- School of Materials Science and Engineering, Tsinghua University, Beijing, 100084, China
| | - Junjiang Liu
- Songshan Lake Materials Laboratory, Dongguan, 523808, China
| | - Huanming Wang
- Songshan Lake Materials Laboratory, Dongguan, 523808, China
| | - Yanli Wang
- Songshan Lake Materials Laboratory, Dongguan, 523808, China
| | - Honglei Xue
- School of Materials Science and Engineering, Tsinghua University, Beijing, 100084, China
| | - Shan Ren
- Beijing Youan Hospital, Capital Medical University, Beijing, 100069, China
| | - Wenjing Wang
- Beijing Youan Hospital, Capital Medical University, Beijing, 100069, China
| | - Xiaoyan Zhang
- School of Pharmaceutical Sciences, Capital Medical University, Beijing, 100069, China
| | - Zhi Xu
- Songshan Lake Materials Laboratory, Dongguan, 523808, China
| | - Wangyang Fu
- School of Materials Science and Engineering, Tsinghua University, Beijing, 100084, China
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Arya S, Bahuguna D, Bajad G, Loharkar S, Devangan P, Khatri DK, Singh SB, Madan J. Colloidal therapeutics in the management of traumatic brain injury: Portray of biomarkers and drug-targets, preclinical and clinical pieces of evidence and future prospects. Colloids Surf B Biointerfaces 2023; 230:113509. [PMID: 37595379 DOI: 10.1016/j.colsurfb.2023.113509] [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: 05/22/2023] [Revised: 07/28/2023] [Accepted: 08/05/2023] [Indexed: 08/20/2023]
Abstract
Complexity associated with the aberrant physiology of traumatic brain injury (TBI) makes its therapeutic targeting vulnerable. The underlying mechanisms of pathophysiology of TBI are yet to be completely illustrated. Primary injury in TBI is associated with contusions and axonal shearing whereas excitotoxicity, mitochondrial dysfunction, free radicals generation, and neuroinflammation are considered under secondary injury. MicroRNAs, proinflammatory cytokines, and Glial fibrillary acidic protein (GFAP) recently emerged as biomarkers in TBI. In addition, several approved therapeutic entities have been explored to target existing and newly identified drug-targets in TBI. However, drug delivery in TBI is hampered due to disruption of blood-brain barrier (BBB) in secondary TBI, as well as inadequate drug-targeting and retention effect. Colloidal therapeutics appeared helpful in providing enhanced drug availability to the brain owing to definite targeting strategies. Moreover, immense efforts have been put together to achieve increased bioavailability of therapeutics to TBI by devising effective targeting strategies. The potential of colloidal therapeutics to efficiently deliver drugs at the site of injury and down-regulate the mediators of TBI are serving as novel policies in the management of TBI. Therefore, in present manuscript, we have illuminated a myriad of molecular-targets currently identified and recognized in TBI. Moreover, particular emphasis is given to frame armamentarium of repurpose drugs which could be utilized to block molecular targets in TBI in addition to drug delivery barriers. The critical role of colloidal therapeutics such as liposomes, nanoparticles, dendrimers, and exosomes in drug delivery to TBI through invasive and non-invasive routes has also been highlighted.
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Affiliation(s)
- Shristi Arya
- Department of Pharmaceutics, National Institute of Pharmaceutical Education and Research, Hyderabad, Telangana, India
| | - Deepankar Bahuguna
- Department of Pharmaceutics, National Institute of Pharmaceutical Education and Research, Hyderabad, Telangana, India
| | - Gopal Bajad
- Department of Pharmaceutics, National Institute of Pharmaceutical Education and Research, Hyderabad, Telangana, India
| | - Soham Loharkar
- Department of Pharmaceutics, National Institute of Pharmaceutical Education and Research, Hyderabad, Telangana, India
| | - Pawan Devangan
- Department of Pharmaceutics, National Institute of Pharmaceutical Education and Research, Hyderabad, Telangana, India
| | - Dharmendra Kumar Khatri
- Department of Biological Sciences, National Institute of Pharmaceutical Education and Research, Hyderabad, Telangana, India
| | - Shashi Bala Singh
- Department of Biological Sciences, National Institute of Pharmaceutical Education and Research, Hyderabad, Telangana, India
| | - Jitender Madan
- Department of Pharmaceutics, National Institute of Pharmaceutical Education and Research, Hyderabad, Telangana, India.
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10
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Yin T, Xu L, Gil B, Merali N, Sokolikova MS, Gaboriau DCA, Liu DSK, Muhammad Mustafa AN, Alodan S, Chen M, Txoperena O, Arrastua M, Gomez JM, Ontoso N, Elicegui M, Torres E, Li D, Mattevi C, Frampton AE, Jiao LR, Ramadan S, Klein N. Graphene Sensor Arrays for Rapid and Accurate Detection of Pancreatic Cancer Exosomes in Patients' Blood Plasma Samples. ACS NANO 2023; 17:14619-14631. [PMID: 37470391 PMCID: PMC10416564 DOI: 10.1021/acsnano.3c01812] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Accepted: 07/17/2023] [Indexed: 07/21/2023]
Abstract
Biosensors based on graphene field effect transistors (GFETs) have the potential to enable the development of point-of-care diagnostic tools for early stage disease detection. However, issues with reproducibility and manufacturing yields of graphene sensors, but also with Debye screening and unwanted detection of nonspecific species, have prevented the wider clinical use of graphene technology. Here, we demonstrate that our wafer-scalable GFETs array platform enables meaningful clinical results. As a case study of high clinical relevance, we demonstrate an accurate and robust portable GFET array biosensor platform for the detection of pancreatic ductal adenocarcinoma (PDAC) in patients' plasma through specific exosomes (GPC-1 expression) within 45 min. In order to facilitate reproducible detection in blood plasma, we optimized the analytical performance of GFET biosensors via the application of an internal control channel and the development of an optimized test protocol. Based on samples from 18 PDAC patients and 8 healthy controls, the GFET biosensor arrays could accurately discriminate between the two groups while being able to detect early cancer stages including stages 1 and 2. Furthermore, we confirmed the higher expression of GPC-1 and found that the concentration in PDAC plasma was on average more than 1 order of magnitude higher than in healthy samples. We found that these characteristics of GPC-1 cancerous exosomes are responsible for an increase in the number of target exosomes on the surface of graphene, leading to an improved signal response of the GFET biosensors. This GFET biosensor platform holds great promise for the development of an accurate tool for the rapid diagnosis of pancreatic cancer.
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Affiliation(s)
- Tianyi Yin
- Department
of Materials, Imperial College London, London SW7 2AZ, U.K.
| | - Lizhou Xu
- Department
of Materials, Imperial College London, London SW7 2AZ, U.K.
- ZJU-Hangzhou
Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 311200, China
| | - Bruno Gil
- Hamlyn
Centre, Imperial College London, London SW7 2AZ, U.K.
| | - Nabeel Merali
- Oncology
Section, Surrey Cancer Research Institute, Department of Clinical
and Experimental Medicine, FHMS, University
of Surrey, The Leggett Building, Daphne Jackson Road, Guildford GU2 7WG, U.K.
- HPB
Surgical Unit, Royal Surrey NHS Foundation Trust, Guildford, Surrey GU2 7XX, U.K.
- Minimal Access
Therapy Training Unit (MATTU), University
of Surrey, The Leggett
Building, Daphne Jackson Road, Guildford GU2 7WG, U.K.
| | | | - David C. A. Gaboriau
- Facility
for Imaging By Light Microscopy, Imperial
College London, London SW7 2AZ, U.K.
| | - Daniel S. K. Liu
- Department
of Surgery & Cancer, Imperial College
London, Hammersmith Hospital
Campus, London W12 0NN, U.K.
- HPB
Surgical Unit, Imperial College Healthcare NHS Trust, Hammersmith
Hospital, London W12 0HS, U.K.
| | - Ahmad Nizamuddin Muhammad Mustafa
- Department
of Materials, Imperial College London, London SW7 2AZ, U.K.
- FTKEE,
Universiti Teknikal Malaysia Melaka, 76100 Durian Tunggal, Melaka, Malaysia
| | - Sarah Alodan
- Department
of Materials, Imperial College London, London SW7 2AZ, U.K.
| | - Michael Chen
- Department
of Materials, Imperial College London, London SW7 2AZ, U.K.
| | - Oihana Txoperena
- Graphenea Semiconductor, Paseo Mikeletegi 83, San Sebastián ES 20009, Spain
| | - María Arrastua
- Graphenea Semiconductor, Paseo Mikeletegi 83, San Sebastián ES 20009, Spain
| | - Juan Manuel Gomez
- Graphenea Semiconductor, Paseo Mikeletegi 83, San Sebastián ES 20009, Spain
| | - Nerea Ontoso
- Graphenea Semiconductor, Paseo Mikeletegi 83, San Sebastián ES 20009, Spain
| | - Marta Elicegui
- Graphenea Semiconductor, Paseo Mikeletegi 83, San Sebastián ES 20009, Spain
| | - Elias Torres
- Graphenea Semiconductor, Paseo Mikeletegi 83, San Sebastián ES 20009, Spain
| | - Danyang Li
- Research
Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen 518107, China
| | - Cecilia Mattevi
- Department
of Materials, Imperial College London, London SW7 2AZ, U.K.
| | - Adam E. Frampton
- Oncology
Section, Surrey Cancer Research Institute, Department of Clinical
and Experimental Medicine, FHMS, University
of Surrey, The Leggett Building, Daphne Jackson Road, Guildford GU2 7WG, U.K.
- HPB
Surgical Unit, Royal Surrey NHS Foundation Trust, Guildford, Surrey GU2 7XX, U.K.
- Minimal Access
Therapy Training Unit (MATTU), University
of Surrey, The Leggett
Building, Daphne Jackson Road, Guildford GU2 7WG, U.K.
- Department
of Surgery & Cancer, Imperial College
London, Hammersmith Hospital
Campus, London W12 0NN, U.K.
| | - Long R. Jiao
- Department
of Surgery & Cancer, Imperial College
London, Hammersmith Hospital
Campus, London W12 0NN, U.K.
| | - Sami Ramadan
- Department
of Materials, Imperial College London, London SW7 2AZ, U.K.
| | - Norbert Klein
- Department
of Materials, Imperial College London, London SW7 2AZ, U.K.
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11
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Wang Y, Guerenneur A, Ramadan S, Huang J, Fearn S, Nabi N, Klein N, Alford NM, Petrov PK. Toward Fabrication of Devices Based on Graphene/Oxide Multilayers. ACS APPLIED ELECTRONIC MATERIALS 2023; 5:3261-3267. [PMID: 37396054 PMCID: PMC10308813 DOI: 10.1021/acsaelm.3c00341] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Accepted: 05/26/2023] [Indexed: 07/04/2023]
Abstract
Owing to its high electrical conductivity, low density, and flexibility, graphene has great potential for use as a building block in a wide range of applications from nanoelectronics to biosensing and high-frequency devices. For many device applications, it is required to deposit dielectric materials on graphene at high temperatures and in ambient oxygen. This has been proven to be highly challenging because these conditions cause significant degradation in graphene. In this work, we investigate the degradation of graphene at elevated temperatures in an oxygen atmosphere and possible protection mechanisms to enable the growth of oxide thin films on graphene at higher temperatures. We show that coating graphene with self-assembled monolayers of hexamethyldisilazane (HMDS) prior to a high-temperature deposition can significantly reduce the damage induced. Furthermore, a graphene sample treated with HMDS displayed a weaker doping effect due to weak interaction with oxygen species than bare graphene, and a much slower rate of electrical resistance degradation was exhibited during annealing. Thus, it is a promising approach that could enable the deposition of metal oxide materials on graphene at high temperatures without significant degradation in graphene quality, which is critical for a wide range of applications.
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Affiliation(s)
- Yuxuan Wang
- Imperial College
London, London SW7 2AZ, U.K.
| | | | | | - Jingle Huang
- University College London, Gower Street, London WC1E 6BT, U.K.
| | - Sarah Fearn
- Imperial College
London, London SW7 2AZ, U.K.
| | - Nomaan Nabi
- Imperial College
London, London SW7 2AZ, U.K.
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12
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Tao S, Zhao X, Bao D, Liu X, Zhang W, Zhao L, Tang Y, Wu H, Ye H, Yang Y, Deng D. SARS-Cov-2 Spike-S1 Antigen Test Strip with High Sensitivity Endowed by High-Affinity Antibodies and Brightly Fluorescent QDs/Silica Nanospheres. ACS APPLIED MATERIALS & INTERFACES 2023; 15:27612-27623. [PMID: 37265327 DOI: 10.1021/acsami.3c03434] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/03/2023]
Abstract
The extensive research into developing novel strategies for detecting respiratory syndrome coronavirus 2 (SARS-CoV-2) antigens in clinical specimens, especially the sensitive point-of-care testing method, is still urgently needed to reach rapid screening of viral infections. Herein, a new lateral flow immunoassay (LFIA) platform was reported for the detection of SARS-CoV-2 spike-S1 protein antigens, in which four sensitive and specific SARS-CoV-2 mouse monoclonal antibodies (MmAbs) were tailored by using quantum dot (QD)-loaded dendritic mesoporous silica nanoparticles modified further for achieving the -COOH group surface coating (named Q/S-COOH nanospheres). Importantly, compact QD adsorption was achieved in mesoporous channels of silica nanoparticles on account of highly accessible central-radial pores and electrostatic interactions, leading to significant signal amplification. As such, a limit of detection for SARS-CoV-2 spike-S1 testing was found to be 0.03 ng/mL, which is lower compared with those of AuNPs-LFIA (traditional colloidal gold nanoparticles, Au NPs) and enzyme-linked immunosorbent assay methods. These results show that optimizing the affinity of antibody and the intensity of fluorescent nanospheres simultaneously is of great significance to improve the sensitivity of LFIA.
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Affiliation(s)
- Shiyi Tao
- Department of Biomedical Engineering, China Pharmaceutical University, Nanjing 211198, China
- China Regional Research Centre, International Centre for Genetic Engineering and Biotechnology, Taizhou 225300, China
| | - Xiaomin Zhao
- Department of Biomedical Engineering, China Pharmaceutical University, Nanjing 211198, China
| | - Dongping Bao
- China Regional Research Centre, International Centre for Genetic Engineering and Biotechnology, Taizhou 225300, China
| | - Xuecheng Liu
- Department of Biomedical Engineering, China Pharmaceutical University, Nanjing 211198, China
| | - Wei Zhang
- Department of Pharmaceutical Engineering, School of Engineering, China Pharmaceutical University, Nanjing 211198, China
| | - Liying Zhao
- Department of Pharmaceutical Engineering, School of Engineering, China Pharmaceutical University, Nanjing 211198, China
| | - Yujiao Tang
- Department of Biomedical Engineering, China Pharmaceutical University, Nanjing 211198, China
| | - Hongbin Wu
- Jiangsu Huatai Vaccine Engineering Technology Research Co., Ltd., Taizhou 225300, China
| | - Huayue Ye
- Jiangsu Huatai Vaccine Engineering Technology Research Co., Ltd., Taizhou 225300, China
| | - Yili Yang
- China Regional Research Centre, International Centre for Genetic Engineering and Biotechnology, Taizhou 225300, China
| | - Dawei Deng
- Department of Biomedical Engineering, China Pharmaceutical University, Nanjing 211198, China
- Department of Pharmaceutical Engineering, School of Engineering, China Pharmaceutical University, Nanjing 211198, China
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13
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Ling Y, Ramalingam M, Lv X, Zeng Y, Qiu Y, Si Y, Pedraz JL, Kim HW, Hu J. Recent Advances in Nanomedicine Development for Traumatic Brain Injury. Tissue Cell 2023; 82:102087. [PMID: 37060747 DOI: 10.1016/j.tice.2023.102087] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2023] [Revised: 03/26/2023] [Accepted: 04/03/2023] [Indexed: 04/08/2023]
Abstract
Traumatic brain injury (TBI) is one of the major causes of morbidity and mortality worldwide, and it is also a risk factor for neurodegeneration. However, there has not been perceptible progress in treating acute TBI over the last few years, mainly due to the inability of therapeutic drugs to cross the blood-brain barrier (BBB), failing to exert significant pharmacological effects on the brain parenchyma. Recently, nanomedicines are emerging as a powerful tool for the treatment of TBI where nanoscale materials (also called nanomaterials) are employed to deliver therapeutic agents. The advantages of using nanomaterials as a drug carrier include their high solubility and stability, high carrier capacity, site-specific, improved pharmacokinetics, and biodistribution. Keeping these points in consideration, this article reviews the pathophysiology, current treatment options, and emerging nanomedicine strategies for the treatment of TBI. The review will help readers to gain insight into the state-of-the-art of nanomedicine as a new tool for the treatment of TBI.
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14
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Silvestri A, Zayas-Arrabal J, Vera-Hidalgo M, Di Silvio D, Wetzl C, Martinez-Moro M, Zurutuza A, Torres E, Centeno A, Maestre A, Gómez JM, Arrastua M, Elicegui M, Ontoso N, Prato M, Coluzza I, Criado A. Ultrasensitive detection of SARS-CoV-2 spike protein by graphene field-effect transistors. NANOSCALE 2023; 15:1076-1085. [PMID: 36546457 DOI: 10.1039/d2nr05103f] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
COVID-19, caused by the severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2), originated a global health crisis, causing over 2 million casualties and altering human daily life all over the world. This pandemic emergency revealed the limitations of current diagnostic tests, highlighting the urgency to develop faster, more precise and sensitive sensors. Graphene field effect transistors (GFET) are analytical platforms that enclose all these requirements. However, the design of a sensitive and robust GFET is not a straightforward objective. In this work, we report a GFET array biosensor for the detection of SARS-CoV-2 spike protein using the human membrane protein involved in the virus internalisation: angiotensin-converting enzyme 2 (ACE2). By finely controlling the graphene functionalisation, by tuning the Debye length, and by deeply characterising the ACE2-spike protein interactions, we have been able to detect the target protein with an extremely low limit of detection (2.94 aM). This work set the basis for a new class of analytical platforms, based on human membrane proteins, with the potential to detect a broad variety of pathogens, even before their isolation, being a powerful tool in the fight against future pandemics.
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Affiliation(s)
- Alessandro Silvestri
- Center for Cooperative Research in Biomaterials (CIC biomaGUNE), Basque Research and Technology Alliance (BRTA), Paseo de Miramon 194, 20014 Donostia-San Sebastián, Spain.
| | - Julian Zayas-Arrabal
- Center for Cooperative Research in Biomaterials (CIC biomaGUNE), Basque Research and Technology Alliance (BRTA), Paseo de Miramon 194, 20014 Donostia-San Sebastián, Spain.
| | - Mariano Vera-Hidalgo
- Center for Cooperative Research in Biomaterials (CIC biomaGUNE), Basque Research and Technology Alliance (BRTA), Paseo de Miramon 194, 20014 Donostia-San Sebastián, Spain.
| | - Desire Di Silvio
- Center for Cooperative Research in Biomaterials (CIC biomaGUNE), Basque Research and Technology Alliance (BRTA), Paseo de Miramon 194, 20014 Donostia-San Sebastián, Spain.
| | - Cecilia Wetzl
- Center for Cooperative Research in Biomaterials (CIC biomaGUNE), Basque Research and Technology Alliance (BRTA), Paseo de Miramon 194, 20014 Donostia-San Sebastián, Spain.
- University of the Basque Country UPV-EHU, 20018 Donostia-San Sebastián, Spain
| | - Marta Martinez-Moro
- Center for Cooperative Research in Biomaterials (CIC biomaGUNE), Basque Research and Technology Alliance (BRTA), Paseo de Miramon 194, 20014 Donostia-San Sebastián, Spain.
| | - Amaia Zurutuza
- Graphenea Semiconductor SLU., Paseo Mikeletegi 83, 20009 San Sebastián, Spain
| | - Elias Torres
- Graphenea Semiconductor SLU., Paseo Mikeletegi 83, 20009 San Sebastián, Spain
| | - Alba Centeno
- Graphenea Semiconductor SLU., Paseo Mikeletegi 83, 20009 San Sebastián, Spain
| | - Arantxa Maestre
- Graphenea Semiconductor SLU., Paseo Mikeletegi 83, 20009 San Sebastián, Spain
| | - Juan Manuel Gómez
- Graphenea Semiconductor SLU., Paseo Mikeletegi 83, 20009 San Sebastián, Spain
| | - María Arrastua
- Graphenea Semiconductor SLU., Paseo Mikeletegi 83, 20009 San Sebastián, Spain
| | - Marta Elicegui
- Graphenea Semiconductor SLU., Paseo Mikeletegi 83, 20009 San Sebastián, Spain
| | - Nerea Ontoso
- Graphenea Semiconductor SLU., Paseo Mikeletegi 83, 20009 San Sebastián, Spain
| | - Maurizio Prato
- Center for Cooperative Research in Biomaterials (CIC biomaGUNE), Basque Research and Technology Alliance (BRTA), Paseo de Miramon 194, 20014 Donostia-San Sebastián, Spain.
- Department of Chemical and Pharmaceutical Sciences, University of Trieste, Via L. Giorgieri 1, 3412 7 Trieste, Italy
- Ikerbasque, Basque Foundation for Science, 48013 Bilbao, Spain
| | - Ivan Coluzza
- BCMaterials, Basque Center for Materials, Applications and Nanostructures, Bld. Martina Casiano, UPV/EHU Science Park, Barrio Sarriena s/n, 48940 Leioa, Spain.
- Ikerbasque, Basque Foundation for Science, 48013 Bilbao, Spain
| | - Alejandro Criado
- Center for Cooperative Research in Biomaterials (CIC biomaGUNE), Basque Research and Technology Alliance (BRTA), Paseo de Miramon 194, 20014 Donostia-San Sebastián, Spain.
- Universidade da Coruña, CICA - Centro Interdisciplinar de Química e Bioloxía, Rúa as Carballeiras, 15071 A Coruña, Spain.
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15
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Detection and modulation of neurodegenerative processes using graphene-based nanomaterials: Nanoarchitectonics and applications. Adv Colloid Interface Sci 2023; 311:102824. [PMID: 36549182 DOI: 10.1016/j.cis.2022.102824] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 12/02/2022] [Accepted: 12/08/2022] [Indexed: 12/14/2022]
Abstract
Neurodegenerative disorders (NDDs) are caused by progressive loss of functional neurons following the aggregation and fibrillation of proteins in the central nervous system. The incidence rate continues to rise alarmingly worldwide, particularly in aged population, and the success of treatment remains limited to symptomatic relief. Graphene nanomaterials (GNs) have attracted immense interest on the account of their unique physicochemical and optoelectronic properties. The research over the past two decades has recognized their ability to interact with aggregation-prone neuronal proteins, regulate autophagy and modulate the electrophysiology of neuronal cells. Graphene can prevent the formation of higher order protein aggregates and facilitate the clearance of such deposits. In this review, after highlighting the role of protein fibrillation in neurodegeneration, we have discussed how GN-protein interactions can be exploited for preventing neurodegeneration. A comprehensive understanding of such interactions would contribute to the exploration of novel modalities for controlling neurodegenerative processes.
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16
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Saha S, Sachdev M, Mitra SK. Recent advances in label-free optical, electrochemical, and electronic biosensors for glioma biomarkers. BIOMICROFLUIDICS 2023; 17:011502. [PMID: 36844882 PMCID: PMC9949901 DOI: 10.1063/5.0135525] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/20/2022] [Accepted: 02/06/2023] [Indexed: 06/18/2023]
Abstract
Gliomas are the most commonly occurring primary brain tumor with poor prognosis and high mortality rate. Currently, the diagnostic and monitoring options for glioma mainly revolve around imaging techniques, which often provide limited information and require supervisory expertise. Liquid biopsy is a great alternative or complementary monitoring protocol that can be implemented along with other standard diagnosis protocols. However, standard detection schemes for sampling and monitoring biomarkers in different biological fluids lack the necessary sensitivity and ability for real-time analysis. Lately, biosensor-based diagnostic and monitoring technology has attracted significant attention due to several advantageous features, including high sensitivity and specificity, high-throughput analysis, minimally invasive, and multiplexing ability. In this review article, we have focused our attention on glioma and presented a literature survey summarizing the diagnostic, prognostic, and predictive biomarkers associated with glioma. Further, we discussed different biosensory approaches reported to date for the detection of specific glioma biomarkers. Current biosensors demonstrate high sensitivity and specificity, which can be used for point-of-care devices or liquid biopsies. However, for real clinical applications, these biosensors lack high-throughput and multiplexed analysis, which can be achieved via integration with microfluidic systems. We shared our perspective on the current state-of-the-art different biosensor-based diagnostic and monitoring technologies reported and the future research scopes. To the best of our knowledge, this is the first review focusing on biosensors for glioma detection, and it is anticipated that the review will offer a new pathway for the development of such biosensors and related diagnostic platforms.
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Affiliation(s)
| | - Manoj Sachdev
- Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada
| | - Sushanta K. Mitra
- Micro and Nanoscale Transport Laboratory, Department of Mechanical and Mechatronics Engineering, Waterloo Institute for Nanotechnology, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada
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17
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Damavandi AR, Mirmosayyeb O, Ebrahimi N, Zalpoor H, khalilian P, Yahiazadeh S, Eskandari N, Rahdar A, Kumar PS, Pandey S. Advances in nanotechnology versus stem cell therapy for the theranostics of multiple sclerosis disease. APPLIED NANOSCIENCE 2022. [DOI: 10.1007/s13204-022-02698-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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18
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Xu L, Ramadan S, Rosa BG, Zhang Y, Yin T, Torres E, Shaforost O, Panagiotopoulos A, Li B, Kerherve G, Kim DK, Mattevi C, Jiao LR, Petrov PK, Klein N. On-chip integrated graphene aptasensor with portable readout for fast and label-free COVID-19 detection in virus transport medium. SENSORS & DIAGNOSTICS 2022; 1:719-730. [PMID: 35923775 PMCID: PMC9280445 DOI: 10.1039/d2sd00076h] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 06/10/2022] [Indexed: 01/12/2023]
Abstract
Graphene field-effect transistor (GFET) biosensors exhibit high sensitivity due to a large surface-to-volume ratio and the high sensitivity of the Fermi level to the presence of charged biomolecules near the surface. For most reported GFET biosensors, bulky external reference electrodes are used which prevent their full-scale chip integration and contribute to higher costs per test. In this study, GFET arrays with on-chip integrated liquid electrodes were employed for COVID-19 detection and functionalized with either antibody or aptamer to selectively bind the spike proteins of SARS-CoV-2. In the case of the aptamer-functionalized GFET (aptasensor, Apt-GFET), the limit-of-detection (LOD) achieved was about 103 particles per mL for virus-like particles (VLPs) in clinical transport medium, outperforming the Ab-GFET biosensor counterpart. In addition, the aptasensor achieved a LOD of 160 aM for COVID-19 neutralizing antibodies in serum. The sensors were found to be highly selective, fast (sample-to-result within minutes), and stable (low device-to-device signal variation; relative standard deviations below 0.5%). A home-built portable readout electronic unit was employed for simultaneous real-time measurements of 12 GFETs per chip. Our successful demonstration of a portable GFET biosensing platform has high potential for infectious disease detection and other health-care applications.
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Affiliation(s)
- Lizhou Xu
- Department of Materials, Imperial College LondonLondonSW7 2AZUK,ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang UniversityHangzhou311200China
| | - Sami Ramadan
- Department of Materials, Imperial College LondonLondonSW7 2AZUK
| | | | - Yuanzhou Zhang
- Department of Materials, Imperial College LondonLondonSW7 2AZUK
| | - Tianyi Yin
- Department of Materials, Imperial College LondonLondonSW7 2AZUK
| | - Elias Torres
- Graphenea SemiconductorPaseo Mikeletegi 83San Sebastián20009Spain
| | - Olena Shaforost
- Department of Materials, Imperial College LondonLondonSW7 2AZUK
| | | | - Bing Li
- Department of Brain Sciences, Imperial College LondonLondonW12 0BZUK,Care Research & Technology Centre, UK Dementia Research InstituteW12 0BZUK,Institute for Materials Discovery, University College LondonRoberts BuildingLondonWC1E 7JEUK
| | | | - Dong Kuk Kim
- Department of Materials, Imperial College LondonLondonSW7 2AZUK
| | - Cecilia Mattevi
- Department of Materials, Imperial College LondonLondonSW7 2AZUK
| | - Long R. Jiao
- Department of Hepatobiliary Surgery, Division of Surgery & Cancer, Imperial College LondonHammersmith Hospital Campus, Du Cane RoadLondonW12 0NNUK
| | - Peter K. Petrov
- Department of Materials, Imperial College LondonLondonSW7 2AZUK
| | - Norbert Klein
- Department of Materials, Imperial College LondonLondonSW7 2AZUK
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19
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Mehmandoust M, Erk EE, Soylak M, Erk N, Karimi F. Metal–Organic Framework Based Electrochemical Immunosensor for Label-Free Detection of Glial Fibrillary Acidic Protein as a Biomarker. Ind Eng Chem Res 2022. [DOI: 10.1021/acs.iecr.2c01445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Mohammad Mehmandoust
- Faculty of Pharmacy, Department of Analytical Chemistry, Ankara University, 06100 Ankara, Turkey
| | - Erknaz Ecehan Erk
- Institute of Neurological Sciences and Psychiatry, Hacettepe University 06230 Ankara, Turkey
| | - Mustafa Soylak
- Faculty of Sciences, Department of Chemistry, Erciyes University, 38039 Kayseri, Turkey
- Technology Research & Application Center (TAUM), Erciyes University, 38039 Kayseri, Turkey
- Turkish Academy of Sciences (TUBA), Cankaya, 06700 Ankara, Turkey
| | - Nevin Erk
- Faculty of Pharmacy, Department of Analytical Chemistry, Ankara University, 06100 Ankara, Turkey
| | - Fatemeh Karimi
- Department of Chemical Engineering, Laboratory of Nanotechnology, Quchan University of Technology, 9477177870 Quchan, Iran
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20
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Ghirardello M, Shyam R, Liu X, Garcia-Millan T, Sittel I, Ramos-Soriano J, Kurian KM, Galan MC. Carbon dot-based fluorescent antibody nanoprobes as brain tumour glioblastoma diagnostics. NANOSCALE ADVANCES 2022; 4:1770-1778. [PMID: 35434521 PMCID: PMC8962998 DOI: 10.1039/d2na00060a] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Accepted: 03/03/2022] [Indexed: 06/14/2023]
Abstract
The development of efficient and sensitive tools for the detection of brain cancer in patients is of the utmost importance particularly because many of these tumours go undiagnosed until the disease has advanced and when treatment is less effective. Current strategies employ antibodies (Abs) to detect Glial Fibrillary Acid Protein (GFAP) in tissue samples, since GFAP is unique to the brain and not present in normal peripheral blood, and it relies on fluorescent reporters. Herein we describe a low cost, practical and general method for the labelling of proteins and antibodies with fluorescent carbon dots (CD) to generate diagnostic probes that are robust, photostable and applicable to the clinical setting. The two-step protocol relies on the conjugation of a dibenzocyclooctyne (DBCO)-functionalised CD with azide functionalised proteins by combining amide conjugation and strain promoted alkyne-azide cycloaddition (SPAAC) ligation chemistry. The new class of Ab-CD conjugates developed using this strategy was successfully used for the immunohistochemical staining of human brain tissues of patients with glioblastoma (GBM) validating the approach. Overall, these novel fluorescent probes offer a promising and versatile strategy in terms of costs, photostability and applicability which can be extended to other Abs and protein systems.
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Affiliation(s)
| | - Radhe Shyam
- School of Chemistry, University of Bristol Bristol UK
| | - Xia Liu
- Bristol Medical School, Public Health Sciences, Southmead Hospital, University of Bristol Bristol UK
| | | | - Imke Sittel
- School of Chemistry, University of Bristol Bristol UK
| | | | - Kathreena M Kurian
- Bristol Medical School, Public Health Sciences, Southmead Hospital, University of Bristol Bristol UK
| | | |
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