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Giarola JF, Santos J, Estevez MC, Ventura S, Pallarès I, Lechuga LM. An α-helical peptide-based plasmonic biosensor for highly specific detection of α-synuclein toxic oligomers. Anal Chim Acta 2024; 1304:342559. [PMID: 38637056 DOI: 10.1016/j.aca.2024.342559] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Revised: 03/20/2024] [Accepted: 03/28/2024] [Indexed: 04/20/2024]
Abstract
BACKGROUND α-Synuclein (αS) aggregation is the main neurological hallmark of a group of neurodegenerative disorders, collectively referred to as synucleinopathies, of which Parkinson's disease (PD) is the most prevalent. αS oligomers are elevated in the cerebrospinal fluid (CSF) of PD patients, standing as a biomarker for disease diagnosis. However, methods for early PD detection are still lacking. We have recently identified the amphipathic 22-residue peptide PSMα3 as a high-affinity binder of αS toxic oligomers. PSMα3 displayed excellent selectivity and reproducibility, binding to αS toxic oligomers with affinities in the low nanomolar range and without detectable cross-reactivity with functional monomeric αS. RESULTS In this work, we leveraged these PSMα3 unique properties to design a plasmonic-based biosensor for the direct detection of toxic oligomers under label-free conditions. SIGNIFICANCE AND NOVELTY We describe the integration of the peptide in a lab-on-a-chip plasmonic platform suitable for point-of-care measurements of αS toxic oligomers in CSF samples in real-time and at an affordable cost, providing an innovative biosensor for PD early diagnosis in the clinic.
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Affiliation(s)
- Juliana Fátima Giarola
- Nanobiosensors and Bioanalytical Applications Group (NanoB2A), Catalan Institute of Nanoscience and Nanotechnology (ICN2), CSIC, CIBER-BBN and BIST, Campus UAB, Bellaterra, 08193, Barcelona, Spain
| | - Jaime Santos
- Institut de Biotecnologia I Biomedicina and Departament de Bioquímica I Biologia Molecular, Universitat Autònoma de Barcelona, 08193, Barcelona, Spain
| | - M-Carmen Estevez
- Nanobiosensors and Bioanalytical Applications Group (NanoB2A), Catalan Institute of Nanoscience and Nanotechnology (ICN2), CSIC, CIBER-BBN and BIST, Campus UAB, Bellaterra, 08193, Barcelona, Spain.
| | - Salvador Ventura
- Institut de Biotecnologia I Biomedicina and Departament de Bioquímica I Biologia Molecular, Universitat Autònoma de Barcelona, 08193, Barcelona, Spain
| | - Irantzu Pallarès
- Institut de Biotecnologia I Biomedicina and Departament de Bioquímica I Biologia Molecular, Universitat Autònoma de Barcelona, 08193, Barcelona, Spain.
| | - Laura M Lechuga
- Nanobiosensors and Bioanalytical Applications Group (NanoB2A), Catalan Institute of Nanoscience and Nanotechnology (ICN2), CSIC, CIBER-BBN and BIST, Campus UAB, Bellaterra, 08193, Barcelona, Spain
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2
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Wang W, Xia L, Xiao X, Li G. Recent Progress on Microfluidics Integrated with Fiber-Optic Sensors for On-Site Detection. SENSORS (BASEL, SWITZERLAND) 2024; 24:2067. [PMID: 38610279 PMCID: PMC11014287 DOI: 10.3390/s24072067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/24/2024] [Revised: 03/14/2024] [Accepted: 03/22/2024] [Indexed: 04/14/2024]
Abstract
This review introduces a micro-integrated device of microfluidics and fiber-optic sensors for on-site detection, which can detect certain or several specific components or their amounts in different samples within a relatively short time. Fiber-optics with micron core diameters can be easily coated and functionalized, thus allowing sensors to be integrated with microfluidics to separate, enrich, and measure samples in a micro-device. Compared to traditional laboratory equipment, this integrated device exhibits natural advantages in size, speed, cost, portability, and operability, making it more suitable for on-site detection. In this review, the various optical detection methods used in this integrated device are introduced, including Raman, ultraviolet-visible, fluorescence, and surface plasmon resonance detections. It also provides a detailed overview of the on-site detection applications of this integrated device for biological analysis, food safety, and environmental monitoring. Lastly, this review addresses the prospects for the future development of microfluidics integrated with fiber-optic sensors.
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Affiliation(s)
| | | | - Xiaohua Xiao
- School of Chemistry, Sun Yat-sen University, Guangzhou 510006, China; (W.W.); (L.X.)
| | - Gongke Li
- School of Chemistry, Sun Yat-sen University, Guangzhou 510006, China; (W.W.); (L.X.)
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Yang C, Wang Z, Xiao K, Ushakov N, Kumar S, Li X, Min R. Portable optical fiber biosensors integrated with smartphone: technologies, applications, and challenges [Invited]. BIOMEDICAL OPTICS EXPRESS 2024; 15:1630-1650. [PMID: 38495719 PMCID: PMC10942678 DOI: 10.1364/boe.517534] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Revised: 02/04/2024] [Accepted: 02/04/2024] [Indexed: 03/19/2024]
Abstract
The increasing demand for individualized health monitoring and diagnostics has prompted considerable research into the integration of portable optical fiber biosensors integrated with smartphones. By capitalizing on the benefits offered by optical fibers, these biosensors enable qualitative and quantitative biosensing across a wide range of applications. The integration of these sensors with smartphones, which possess advanced computational power and versatile sensing capabilities, addresses the increasing need for portable and rapid sensing solutions. This extensive evaluation thoroughly examines the domain of optical fiber biosensors in conjunction with smartphones, including hardware complexities, sensing approaches, and integration methods. Additionally, it explores a wide range of applications, including physiological and chemical biosensing. Furthermore, the review provides an analysis of the challenges that have been identified in this rapidly evolving area of research and concludes with relevant suggestions for the progression of the field.
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Affiliation(s)
- Chengwei Yang
- Center for Cognition and Neuroergonomics, State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Zhuhai 519087, China
| | - Zhuo Wang
- Center for Cognition and Neuroergonomics, State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Zhuhai 519087, China
| | - Kun Xiao
- Faculty of Arts and Sciences, Beijing Normal University, Zhuhai 519087, China
| | - Nikolai Ushakov
- Institute of Electronics and Telecommunications, Peter the Great St. Petersburg Polytechnic University, 195251 St. Petersburg, Russia
| | - Santosh Kumar
- Department of Electronics and Communication Engineering, K L Deemed to be University, Guntur, Andhra Pradesh 522302, India
| | - Xiaoli Li
- School of Automation Science and Engineering, South China University of Technology, Guangzhou 510641, China
- Guangdong Artificial Intelligence and Digital Economy Laboratory (Guangzhou), Guangzhou 510335, China
| | - Rui Min
- Center for Cognition and Neuroergonomics, State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Zhuhai 519087, China
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Mondal HS, Hossain MZ, Birbilis N. A selective LSPR biosensor for molecular-level glycated albumin detection. Heliyon 2023; 9:e22795. [PMID: 38125431 PMCID: PMC10731091 DOI: 10.1016/j.heliyon.2023.e22795] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Revised: 11/05/2023] [Accepted: 11/20/2023] [Indexed: 12/23/2023] Open
Abstract
A biosensor specifically engineered to detect glycated albumin (GA), a critical biomarker for diabetes monitoring, is presented. Unlike conventional GA monitoring methods, the biosensor herein uniquely employs localised surface plasmon resonance (LSPR) for signal transduction, leveraging a novel fabrication process where gold nanoparticles are deposited on a quartz substrate using flame spray pyrolysis. This enables the biosensor to provide mean glucose levels over a three-week period, correlating with the glycation status of diabetes patients. The sensor's DNA aptamer conjugation selectively binds GA, inducing a plasmonic wavelength shift; resulting in a detection limit of 0.1 μM, well within the human GA range of 20-240 μM. Selectivity experiments with diverse molecules and an exploration of sensor reusability were carried out with positive results. The novelty of the biosensor presented includes specificity, sensitivity and practical applicability; which is promising for enhanced diabetes diagnosis using a rapid and inexpensive process.
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Affiliation(s)
- Himadri Shekhar Mondal
- School of Engineering, ANU College of Engineering, Computing and Cybernetics, The Australian National University, Canberra, ACT 2601, Australia
| | - Md Zakir Hossain
- School of Engineering, ANU College of Engineering, Computing and Cybernetics, The Australian National University, Canberra, ACT 2601, Australia
- School of Electrical Engineering, Computing and Mathematical Sciences, Curtin University, Bentley, WA 6102, Australia
| | - Nick Birbilis
- School of Engineering, ANU College of Engineering, Computing and Cybernetics, The Australian National University, Canberra, ACT 2601, Australia
- Faculty of Science, Engineering and Built Environment, Deakin University, Waurn Ponds, VIC 3261, Australia
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5
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Song X, Fredj Z, Zheng Y, Zhang H, Rong G, Bian S, Sawan M. Biosensors for waterborne virus detection: Challenges and strategies. J Pharm Anal 2023; 13:1252-1268. [PMID: 38174120 PMCID: PMC10759259 DOI: 10.1016/j.jpha.2023.08.020] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 08/20/2023] [Accepted: 08/29/2023] [Indexed: 01/05/2024] Open
Abstract
Waterborne viruses that can be harmful to human health pose significant challenges globally, affecting health care systems and the economy. Identifying these waterborne pathogens is essential for preventing diseases and protecting public health. However, handling complex samples such as human and wastewater can be challenging due to their dynamic and complex composition and the ultralow concentration of target analytes. This review presents a comprehensive overview of the latest breakthroughs in waterborne virus biosensors. It begins by highlighting several promising strategies that enhance the sensing performance of optical and electrochemical biosensors in human samples. These strategies include optimizing bioreceptor selection, transduction elements, signal amplification, and integrated sensing systems. Furthermore, the insights gained from biosensing waterborne viruses in human samples are applied to improve biosensing in wastewater, with a particular focus on sampling and sample pretreatment due to the dispersion characteristics of waterborne viruses in wastewater. This review suggests that implementing a comprehensive system that integrates the entire waterborne virus detection process with high-accuracy analysis could enhance virus monitoring. These findings provide valuable insights for improving the effectiveness of waterborne virus detection, which could have significant implications for public health and environmental management.
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Affiliation(s)
- Xixi Song
- CenBRAIN Neurotech, School of Engineering, Westlake University, Hangzhou, 310030, China
| | - Zina Fredj
- CenBRAIN Neurotech, School of Engineering, Westlake University, Hangzhou, 310030, China
| | - Yuqiao Zheng
- CenBRAIN Neurotech, School of Engineering, Westlake University, Hangzhou, 310030, China
| | - Hongyong Zhang
- CenBRAIN Neurotech, School of Engineering, Westlake University, Hangzhou, 310030, China
| | - Guoguang Rong
- CenBRAIN Neurotech, School of Engineering, Westlake University, Hangzhou, 310030, China
| | - Sumin Bian
- CenBRAIN Neurotech, School of Engineering, Westlake University, Hangzhou, 310030, China
| | - Mohamad Sawan
- CenBRAIN Neurotech, School of Engineering, Westlake University, Hangzhou, 310030, China
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Hu J, Song E, Liu Y, Yang Q, Sun J, Chen J, Meng Y, Jia Y, Yu Z, Ran Y, Shao L, Shum PP. Fiber Laser-Based Lasso-Shaped Biosensor for High Precision Detection of Cancer Biomarker-CEACAM5 in Serum. BIOSENSORS 2023; 13:674. [PMID: 37504073 PMCID: PMC10377356 DOI: 10.3390/bios13070674] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 06/09/2023] [Accepted: 06/21/2023] [Indexed: 07/29/2023]
Abstract
Detection of trace tumor markers in blood/serum is essential for the early screening and prognosis of cancer diseases, which requires high sensitivity and specificity of the assays and biosensors. A variety of label-free optical fiber-based biosensors has been developed and yielded great opportunities for Point-of-Care Testing (POCT) of cancer biomarkers. The fiber biosensor, however, suffers from a compromise between the responsivity and stability of the sensing signal, which would deteriorate the sensing performance. In addition, the sophistication of sensor preparation hinders the reproduction and scale-up fabrication. To address these issues, in this study, a straightforward lasso-shaped fiber laser biosensor was proposed for the specific determination of carcinoembryonic antigen (CEA)-related cell adhesion molecules 5 (CEACAM5) protein in serum. Due to the ultra-narrow linewidth of the laser, a very small variation of lasing signal caused by biomolecular bonding can be clearly distinguished via high-resolution spectral analysis. The limit of detection (LOD) of the proposed biosensor could reach 9.6 ng/mL according to the buffer test. The sensing capability was further validated by a human serum-based cancer diagnosis trial, enabling great potential for clinical use. The high reproduction of fabrication allowed the mass production of the sensor and extended its utility to a broader biosensing field.
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Affiliation(s)
- Jie Hu
- Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen 518055, China
| | - Enlai Song
- Guangdong Provincial Key Laboratory of Optical Fiber Sensing and Communications, Institute of Photonics Technology, Jinan University, Guangzhou 510632, China
| | - Yuhui Liu
- Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen 518055, China
| | - Qiaochu Yang
- Guangdong Provincial Key Laboratory of Optical Fiber Sensing and Communications, Institute of Photonics Technology, Jinan University, Guangzhou 510632, China
| | - Junhui Sun
- Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen 518055, China
| | - Jinna Chen
- Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen 518055, China
| | - Yue Meng
- Department of Clinical Laboratory, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 511436, China
| | - Yanwei Jia
- State-Key Laboratory of Analog and Mixed-Signal VLSI, Institute of Microelectronics, Faculty of Science and Technology-ECE, Faculty of Health Sciences, MoE Frontiers Science Center for Precision Oncology, University of Macau, Macau 999078, China
| | - Zhiguang Yu
- Medcaptain Medical Technology Co., Ltd., Shenzhen 518055, China
| | - Yang Ran
- Guangdong Provincial Key Laboratory of Optical Fiber Sensing and Communications, Institute of Photonics Technology, Jinan University, Guangzhou 510632, China
| | - Liyang Shao
- Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen 518055, China
| | - Perry Ping Shum
- Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen 518055, China
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Hao X, St-Pierre JP, Zou S, Cao X. Localized surface plasmon resonance biosensor chip surface modification and signal amplifications toward rapid and sensitive detection of COVID-19 infections. Biosens Bioelectron 2023; 236:115421. [PMID: 37244083 DOI: 10.1016/j.bios.2023.115421] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 05/01/2023] [Accepted: 05/22/2023] [Indexed: 05/29/2023]
Abstract
We developed a multi-pronged approach to enhance the detection sensitivity of localized surface plasmon resonance (LSPR) sensor chips to detect SARS-CoV-2. To this end, poly(amidoamine) dendrimers were immobilized onto the surface of LSPR sensor chips to serve as templates to further conjugate aptamers specific for SARS-CoV-2. The immobilized dendrimers were shown to reduce surface nonspecific adsorptions and increase capturing ligand density on the sensor chips, thereby improving detection sensitivity. To characterize the detection sensitivity of the surface-modified sensor chips, SARS-CoV-2 spike protein receptor-binding domain was detected using LSPR sensor chips with different surface modifications. The results showed that the dendrimer-aptamer modified LSPR sensor chip exhibited a limit of detection (LOD) of 21.9 pM, a sensitivity that was 9 times and 152 times more sensitive than the traditional aptamer- or antibody-based LSPR sensor chips, respectively. In addition, detection sensitivity was further improved by combining rolling circle amplification product and gold nanoparticles to further amplify the detection signals by increasing both the target mass and plasmonic coupling effects. Using pseudo SARS-CoV-2 viral particles as detection targets, we demonstrated that this combined signal intensification approach further enhanced the detection sensitivity by 10 folds with a remarkable LOD of 148 vp/mL, making it one of the most sensitive SARS-CoV-2 detection assays reported to date. These results highlight the potential of a novel LSPR-based detection platform for sensitive and rapid detection of COVID-19 infections, as well as other viral infections and point-of-care applications.
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Affiliation(s)
- Xingkai Hao
- Department of Chemical and Biological Engineering, University of Ottawa, 161 Louis Pasteur, Ottawa, Ontario, K1N 6N5, Canada
| | - Jean-Philippe St-Pierre
- Department of Chemical and Biological Engineering, University of Ottawa, 161 Louis Pasteur, Ottawa, Ontario, K1N 6N5, Canada
| | - Shan Zou
- Metrology Research Centre, National Research Council Canada, 100 Sussex Drive, Ottawa, Ontario, K1A 0R6, Canada
| | - Xudong Cao
- Department of Chemical and Biological Engineering, University of Ottawa, 161 Louis Pasteur, Ottawa, Ontario, K1N 6N5, Canada.
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Côco AS, Campos FV, Díaz CAR, Guimarães MCC, Prado AR, de Oliveira JP. Localized Surface Plasmon Resonance-Based Nanosensor for Rapid Detection of Glyphosate in Food Samples. BIOSENSORS 2023; 13:bios13050512. [PMID: 37232873 DOI: 10.3390/bios13050512] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 04/26/2023] [Accepted: 04/27/2023] [Indexed: 05/27/2023]
Abstract
In this study, we developed a biosensor based on the localized surface plasmon resonance (LSPR) phenomenon of gold nanoparticles (AuNPs) to detect the widely used herbicide glyphosate in food samples. To do so, either cysteamine or a specific antibody for glyphosate were conjugated to the surface of the nanoparticles. AuNPs were synthesized using the sodium citrate reduction method and had their concentration determined via inductively plasma coupled mass spectrometry. Their optical properties were analyzed using UV-vis spectroscopy, X-ray diffraction, and transmission electron microscopy. Functionalized AuNPs were further characterized via Fourier-transform infrared spectroscopy, Raman scattering, Zeta potential, and dynamic light scattering. Both conjugates succeeded in detecting the presence of glyphosate in the colloid, although nanoparticles functionalized with cysteamine tended to aggregate at high concentrations of the herbicide. On the other hand, AuNPs functionalized with anti-glyphosate functioned at a broad concentration range and successfully identified the presence of the herbicide in non-organic coffee samples and when it was added to an organic coffee sample. This study demonstrates the potential of AuNP-based biosensors to detect glyphosate in food samples. The low-cost and specificity of these biosensors make them a viable alternative to current methods for detecting glyphosate in foodstuffs.
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Affiliation(s)
- Ariany Soares Côco
- Functional Nanomaterials Laboratory, Morphology Department, Federal University of Espírito Santo (UFES), Av Marechal Campos 1468, Vitória 29040-090, ES, Brazil
| | - Fabiana Vasconcelos Campos
- Functional Nanomaterials Laboratory, Morphology Department, Federal University of Espírito Santo (UFES), Av Marechal Campos 1468, Vitória 29040-090, ES, Brazil
| | - Camilo Arturo Rodríguez Díaz
- Telecommunications Laboratory, Electrical Engineering Department, Federal University of Espírito Santo (UFES), Av Fernando Ferrari 514, Vitória 29075-910, ES, Brazil
| | - Marco César Cunegundes Guimarães
- Functional Nanomaterials Laboratory, Morphology Department, Federal University of Espírito Santo (UFES), Av Marechal Campos 1468, Vitória 29040-090, ES, Brazil
| | - Adilson Ribeiro Prado
- Federal Institute of Espírito Santo (IFES), km 6.5 ES 010, Vitória 29173-087, ES, Brazil
| | - Jairo Pinto de Oliveira
- Functional Nanomaterials Laboratory, Morphology Department, Federal University of Espírito Santo (UFES), Av Marechal Campos 1468, Vitória 29040-090, ES, Brazil
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9
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Microfluidic-based blood immunoassays. J Pharm Biomed Anal 2023; 228:115313. [PMID: 36868029 DOI: 10.1016/j.jpba.2023.115313] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 02/09/2023] [Accepted: 02/22/2023] [Indexed: 02/26/2023]
Abstract
Microfluidics enables the integration of whole protocols performed in a laboratory, including sample loading, reaction, extraction, and measurement steps on a single system, which offers significant advantages thanks to small-scale operation combined with precise fluid control. These include providing efficient transportation mechanisms and immobilization, reduced sample and reagent volumes, fast analysis and response times, lower power requirements, lower cost and disposability, improved portability and sensitivity, and greater integration and automation capability. Immunoassay is a specific bioanalytical method based on the interaction of antigens and antibodies, which is utilized to detect bacteria, viruses, proteins, and small molecules in several areas such as biopharmaceutical analysis, environmental analysis, food safety, and clinical diagnostics. Because of the advantages of both techniques, the combination of immunoassays and microfluidic technology is considered one of the most potential biosensor systems for blood samples. This review presents the current progress and important developments in microfluidic-based blood immunoassays. After providing several basic information about blood analysis, immunoassays, and microfluidics, the review points out in-depth information about microfluidic platforms, detection techniques, and commercial microfluidic blood immunoassay platforms. In conclusion, some thoughts and future perspectives are provided.
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Li M, Singh R, Wang Y, Marques C, Zhang B, Kumar S. Advances in Novel Nanomaterial-Based Optical Fiber Biosensors-A Review. BIOSENSORS 2022; 12:bios12100843. [PMID: 36290980 PMCID: PMC9599727 DOI: 10.3390/bios12100843] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Revised: 09/30/2022] [Accepted: 10/04/2022] [Indexed: 05/24/2023]
Abstract
This article presents a concise summary of current advancements in novel nanomaterial-based optical fiber biosensors. The beneficial optical and biological properties of nanomaterials, such as nanoparticle size-dependent signal amplification, plasmon resonance, and charge-transfer capabilities, are widely used in biosensing applications. Due to the biocompatibility and bioreceptor combination, the nanomaterials enhance the sensitivity, limit of detection, specificity, and response time of sensing probes, as well as the signal-to-noise ratio of fiber optic biosensing platforms. This has established a practical method for improving the performance of fiber optic biosensors. With the aforementioned outstanding nanomaterial properties, the development of fiber optic biosensors has been efficiently promoted. This paper reviews the application of numerous novel nanomaterials in the field of optical fiber biosensing and provides a brief explanation of the fiber sensing mechanism.
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Affiliation(s)
- Muyang Li
- Shandong Key Laboratory of Optical Communication Science and Technology, School of Physics Science and Information Technology, Liaocheng University, Liaocheng 252059, China
| | - Ragini Singh
- College of Agronomy, Liaocheng University, Liaocheng 252059, China
| | - Yiran Wang
- Shandong Key Laboratory of Optical Communication Science and Technology, School of Physics Science and Information Technology, Liaocheng University, Liaocheng 252059, China
| | - Carlos Marques
- Department of Physics & I3N, University of Aveiro, 3810-193 Aveiro, Portugal
| | - Bingyuan Zhang
- Shandong Key Laboratory of Optical Communication Science and Technology, School of Physics Science and Information Technology, Liaocheng University, Liaocheng 252059, China
| | - Santosh Kumar
- Shandong Key Laboratory of Optical Communication Science and Technology, School of Physics Science and Information Technology, Liaocheng University, Liaocheng 252059, China
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