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Zhang P, Hou H, Xu S, Wen Y, Zhang Y, Xing F. Localized surface plasmon resonance sensing based on monometallic gold nanoparticles: from material preparation to detection of bioanalytes. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2025; 17:892-915. [PMID: 39693100 DOI: 10.1039/d4ay01509f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2024]
Abstract
The tunable geometrical properties of gold nanoparticles (AuNPs) endow them with the capacity to exhibit distinct behaviors with respect to both macroscopic (color) and microscopic (resonance wavelength) aspects, which has been extensively utilized in localized surface plasmon resonance (LSPR) sensing platforms. Additionally, functionalizing AuNP surfaces enhances the platforms' capabilities, allowing for the detection of a wide range of molecules related to various aspects of human health. In this review, we comprehensively elucidate the fundamental principles of LSPR biosensing and provide an in-depth survey of the preparation processes for metal nanoparticles, encompassing deposition technology for large-scale particle production as well as ion reduction methods that afford superior control over the particles' physical and chemical attributes. The sensing strategies based on adjustment of the dielectric environment and particle dispersion-aggregation levels are thoroughly reviewed and discussed. The discussion focused on a specific class of nanoparticles, characterized by their uniform shape and size, with each section bifurcated into two parts: a summary of the salient features and recent discoveries pertaining to the sensing strategy, as well as illustrations of representative, cutting-edge applications employing the strategy. We specifically aim to scrutinize analytes commonly encountered in the biomedical realm, encompassing biomarkers that serve as indicators of a wide range of diseases and microbial pathogens, while also prognosticating the future development trends of LSPR optical biosensor platforms within the biomedical field.
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Affiliation(s)
- Peng Zhang
- School of Physics and Optoelectronic Engineering, Shandong University of Technology, Zibo 255049, China.
| | - Huizhen Hou
- School of Physics and Optoelectronic Engineering, Shandong University of Technology, Zibo 255049, China.
| | - Songshi Xu
- School of Physics and Optoelectronic Engineering, Shandong University of Technology, Zibo 255049, China.
| | - Yingfei Wen
- School of Physics and Optoelectronic Engineering, Shandong University of Technology, Zibo 255049, China.
| | - Yonghui Zhang
- School of Physics and Optoelectronic Engineering, Shandong University of Technology, Zibo 255049, China.
| | - Fei Xing
- School of Physics and Optoelectronic Engineering, Shandong University of Technology, Zibo 255049, China.
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Ma Z, Zhang Z, Lv X, Zhang H, Lu K, Su G, Huang B, Chen H. Dual sensitivity-enhanced microring resonance-based integrated microfluidic biosensor for Aβ 42 detection. Talanta 2024; 275:126111. [PMID: 38657362 DOI: 10.1016/j.talanta.2024.126111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2023] [Revised: 04/07/2024] [Accepted: 04/13/2024] [Indexed: 04/26/2024]
Abstract
Sensitive, accurate, and straightforward biosensors are pivotal in the battle against Alzheimer's disease, particularly in light of the escalating patient population. These biosensors enable early adjunctive diagnosis, thereby facilitating prompt intervention, alleviating socioeconomic burdens, and preserving individual well-being. In this study, we introduce the development of a highly sensitive add-drop dual-microring resonant microfluidic sensing chip boasting a sensitivity of 188.11 nm/RIU, marking a significant 20.7% enhancement over single microring systems. Leveraging ultra-thin Parylene C for streamlined antibody immobilization and non-destructive removal, this platform facilitates the precise quantification of the Alzheimer's disease biomarker Aβ42. Employing an immune sensing strategy that amplifies and captures antigen signals using Au-labeled antibodies, we achieve an exceptional limit of detection of 9.02 pg/mL. The designed microring-based microfluidic biosensor chip exhibits outstanding specificity and sensitivity for Aβ42 in serum samples, offering a promising avenue for the early adjunctive diagnosis of Alzheimer's disease.
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Affiliation(s)
- Zhengtai Ma
- Key Laboratory of Optoelectronic Materials and Devices, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, China; College of Materials Science and Opto-Electronic Technology, University of Chinese Academy of Sciences, Beijing, China
| | - Zan Zhang
- School of Electronic and Control Engineering, Chang'an University, Xi'an, China
| | - Xiaoqing Lv
- Key Laboratory of Optoelectronic Materials and Devices, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, China; College of Materials Science and Opto-Electronic Technology, University of Chinese Academy of Sciences, Beijing, China
| | - Huan Zhang
- Key Laboratory of Optoelectronics Technology, Ministry of Education, Beijing University of Technology, Beijing, China
| | - Kaiwei Lu
- Key Laboratory of Optoelectronic Materials and Devices, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, China; College of Materials Science and Opto-Electronic Technology, University of Chinese Academy of Sciences, Beijing, China
| | - Guoshuai Su
- Suzhou Institute of Microelectronics and Optoelectronics Integration, Suzhou, China; Suzhou Jiwei Photoelectric Co., Ltd, Suzhou, China
| | - Beiju Huang
- Key Laboratory of Optoelectronic Materials and Devices, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, China; College of Materials Science and Opto-Electronic Technology, University of Chinese Academy of Sciences, Beijing, China.
| | - Hongda Chen
- Key Laboratory of Optoelectronic Materials and Devices, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, China; College of Materials Science and Opto-Electronic Technology, University of Chinese Academy of Sciences, Beijing, China
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Li Y, Zhao Y, Yang Y, Zhang W, Zhang Y, Sun S, Zhang L, Li M, Gao H, Huang C. Acoustofluidics-enhanced biosensing with simultaneously high sensitivity and speed. MICROSYSTEMS & NANOENGINEERING 2024; 10:92. [PMID: 38957168 PMCID: PMC11217392 DOI: 10.1038/s41378-024-00731-3] [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: 02/21/2024] [Revised: 05/01/2024] [Accepted: 05/28/2024] [Indexed: 07/04/2024]
Abstract
Simultaneously achieving high sensitivity and detection speed with traditional solid-state biosensors is usually limited since the target molecules must passively diffuse to the sensor surface before they can be detected. Microfluidic techniques have been applied to shorten the diffusion time by continuously moving molecules through the biosensing regions. However, the binding efficiencies of the biomolecules are still limited by the inherent laminar flow inside microscale channels. In this study, focused traveling surface acoustic waves were directed into an acoustic microfluidic chip, which could continuously enrich the target molecules into a constriction zone for immediate detection of the immune reactions, thus significantly improving the detection sensitivity and speed. To demonstrate the enhancement of biosensing, we first developed an acoustic microfluidic chip integrated with a focused interdigital transducer; this transducer had the ability to capture more than 91% of passed microbeads. Subsequently, polystyrene microbeads were pre-captured with human IgG molecules at different concentrations and loaded for detection on the chip. As representative results, ~0.63, 2.62, 11.78, and 19.75 seconds were needed to accumulate significant numbers of microbeads pre-captured with human IgG molecules at concentrations of 100, 10, 1, and 0.1 ng/mL (~0.7 pM), respectively; this process was faster than the other methods at the hour level and more sensitive than the other methods at the nanomolar level. Our results indicated that the proposed method could significantly improve both the sensitivity and speed, revealing the importance of selective enrichment strategies for rapid biosensing of rare molecules.
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Affiliation(s)
- Yuang Li
- Institute of Microelectronics of the Chinese Academy of Sciences, Beijing, 100029 P. R. China
- University of Chinese Academy of Sciences, Beijing, 101408 P. R. China
| | - Yang Zhao
- Institute of Microelectronics of the Chinese Academy of Sciences, Beijing, 100029 P. R. China
| | - Yang Yang
- Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115 USA
| | - Wenchang Zhang
- Institute of Microelectronics of the Chinese Academy of Sciences, Beijing, 100029 P. R. China
| | - Yun Zhang
- Institute of Microelectronics of the Chinese Academy of Sciences, Beijing, 100029 P. R. China
- University of Chinese Academy of Sciences, Beijing, 101408 P. R. China
| | - Sheng Sun
- Institute of Microelectronics of the Chinese Academy of Sciences, Beijing, 100029 P. R. China
- University of Chinese Academy of Sciences, Beijing, 101408 P. R. China
| | - Lingqian Zhang
- Institute of Microelectronics of the Chinese Academy of Sciences, Beijing, 100029 P. R. China
| | - Mingxiao Li
- Institute of Microelectronics of the Chinese Academy of Sciences, Beijing, 100029 P. R. China
| | - Hang Gao
- Institute of Microelectronics of the Chinese Academy of Sciences, Beijing, 100029 P. R. China
| | - Chengjun Huang
- Institute of Microelectronics of the Chinese Academy of Sciences, Beijing, 100029 P. R. China
- University of Chinese Academy of Sciences, Beijing, 101408 P. R. China
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Tekin YS, Kul SM, Sagdic O, Rodthongkum N, Geiss B, Ozer T. Optical biosensors for diagnosis of COVID-19: nanomaterial-enabled particle strategies for post pandemic era. Mikrochim Acta 2024; 191:320. [PMID: 38727849 PMCID: PMC11087243 DOI: 10.1007/s00604-024-06373-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2024] [Accepted: 04/19/2024] [Indexed: 05/13/2024]
Abstract
The COVID-19 pandemic underlines the need for effective strategies for controlling virus spread and ensuring sensitive detection of SARS-CoV-2. This review presents the potential of nanomaterial-enabled optical biosensors for rapid and low-cost detection of SARS-CoV-2 biomarkers, demonstrating a comprehensive analysis including colorimetric, fluorescence, surface-enhanced Raman scattering, and surface plasmon resonance detection methods. Nanomaterials including metal-based nanomaterials, metal-organic frame-based nanoparticles, nanorods, nanoporous materials, nanoshell materials, and magnetic nanoparticles employed in the production of optical biosensors are presented in detail. This review also discusses the detection principles, fabrication methods, nanomaterial synthesis, and their applications for the detection of SARS-CoV-2 in four categories: antibody-based, antigen-based, nucleic acid-based, and aptamer-based biosensors. This critical review includes reports published in the literature between the years 2021 and 2024. In addition, the review offers critical insights into optical nanobiosensors for the diagnosis of COVID-19. The integration of artificial intelligence and machine learning technologies with optical nanomaterial-enabled biosensors is proposed to improve the efficiency of optical diagnostic systems for future pandemic scenarios.
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Affiliation(s)
- Yusuf Samil Tekin
- Department of Biomedical Engineering, Graduate Education Institute, Malatya Turgut Ozal University, 44210, Battalgazi, Malatya, Turkey
| | - Seyda Mihriban Kul
- Department of Food Engineering, Faculty of Chemical-Metallurgical Engineering, Yildiz Technical University, 34220, Istanbul, Turkey
| | - Osman Sagdic
- Department of Food Engineering, Faculty of Chemical-Metallurgical Engineering, Yildiz Technical University, 34220, Istanbul, Turkey
| | - Nadnudda Rodthongkum
- Metallurgy and Materials Science Research Institute, Chulalongkorn University, Soi Chula 12, Phayathai Road, Bangkok, 10330, Patumwan, Thailand
| | - Brian Geiss
- Department of Microbiology, Immunology, and Pathology, Colorado State University, Fort Collins, CO, 80523-1019, USA.
| | - Tugba Ozer
- Department of Bioengineering, Faculty of Chemical-Metallurgical Engineering, Yildiz Technical University, 34220, Istanbul, Turkey.
- Health Biotechnology Joint Research and Application Center of Excellence, Esenler, 34220, Istanbul, Turkey.
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Melo RLF, Neto FS, Dari DN, Fernandes BCC, Freire TM, Fechine PBA, Soares JM, Dos Santos JCS. A comprehensive review on enzyme-based biosensors: Advanced analysis and emerging applications in nanomaterial-enzyme linkage. Int J Biol Macromol 2024; 264:130817. [PMID: 38479669 DOI: 10.1016/j.ijbiomac.2024.130817] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Revised: 02/20/2024] [Accepted: 03/10/2024] [Indexed: 04/10/2024]
Abstract
Biosensors with nanomaterials and enzymes detect and quantify specific targets in samples, converting recognition into measurable signals. The study explores the intrinsic synergy between these elements for detecting and quantifying particular targets in biological and environmental samples, with results demonstrated through bibliometric analysis and a comprehensive review of enzyme-based biosensors. Using WoS, 57,331 articles were analyzed and refined to 880. Key journals, countries, institutions, and relevant authors were identified. The main areas highlighted the multidisciplinary nature of the field, and critical keywords identified five thematic clusters, revealing the primary nanoparticles used (CNTs, graphene, AuNPs), major application fields, basic application themes, and niche topics such as sensitive detection, peroxidase activity, and quantum dot utilization. The biosensor overview covered nanomaterials and their primary applications, addressing recent advances and inherent challenges. Patent analysis emphasized the U.S. leadership in the industrial sector, contrasting with China's academic prominence. Future studies should focus on enhancing biosensor portability and analysis speed, with challenges encompassing efficient integration with recent technologies and improving stability and reproducibility in the nanomaterial-enzyme interaction.
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Affiliation(s)
- Rafael Leandro Fernandes Melo
- Departamento de Engenharia Metalúrgica e de Materiais, Universidade Federal do Ceará, Campus do Pici, Bloco 729, CEP 60440-554 Fortaleza, CE, Brazil; Grupo de Química de Materiais Avançados (GQMat), Departamento de Química Analítica e Físico-Química, Universidade Federal do Ceará, Campus do Pici, CEP 60451-970 Fortaleza, CE, Brazil
| | - Francisco Simão Neto
- Departamento de Engenharia Química, Universidade Federal do Ceará, Campus do Pici, CEP 60455-760 Fortaleza, CE, Brazil
| | - Dayana Nascimento Dari
- Instituto de Engenharias e Desenvolvimento Sustentável, Universidade da Integração Internacional da Lusofonia Afro-Brasileira, Campus das Auroras, CEP 62790-970 Redenção, CE, Brazil
| | - Bruno Caio Chaves Fernandes
- Departamento de Agronomia e Ciência Vegetais, Universidade Federal Rural do Semi-Árido, Campus Mossoró, Mossoró CEP 59625-900, RN, Brazil
| | - Tiago Melo Freire
- Grupo de Química de Materiais Avançados (GQMat), Departamento de Química Analítica e Físico-Química, Universidade Federal do Ceará, Campus do Pici, CEP 60451-970 Fortaleza, CE, Brazil
| | - Pierre Basílio Almeida Fechine
- Grupo de Química de Materiais Avançados (GQMat), Departamento de Química Analítica e Físico-Química, Universidade Federal do Ceará, Campus do Pici, CEP 60451-970 Fortaleza, CE, Brazil
| | - João Maria Soares
- Departamento de Física, Universidade do Estado do Rio Grande do Norte, Campus Mossoró, Mossoró CEP 59610-090, RN, Brazil.
| | - José Cleiton Sousa Dos Santos
- Instituto de Engenharias e Desenvolvimento Sustentável, Universidade da Integração Internacional da Lusofonia Afro-Brasileira, Campus das Auroras, CEP 62790-970 Redenção, CE, Brazil.
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Park KS, Park TI, Lee JE, Hwang SY, Choi A, Pack SP. Aptamers and Nanobodies as New Bioprobes for SARS-CoV-2 Diagnostic and Therapeutic System Applications. BIOSENSORS 2024; 14:146. [PMID: 38534253 PMCID: PMC10968798 DOI: 10.3390/bios14030146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Revised: 03/10/2024] [Accepted: 03/12/2024] [Indexed: 03/28/2024]
Abstract
The global challenges posed by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic have underscored the critical importance of innovative and efficient control systems for addressing future pandemics. The most effective way to control the pandemic is to rapidly suppress the spread of the virus through early detection using a rapid, accurate, and easy-to-use diagnostic platform. In biosensors that use bioprobes, the binding affinity of molecular recognition elements (MREs) is the primary factor determining the dynamic range of the sensing platform. Furthermore, the sensitivity relies mainly on bioprobe quality with sufficient functionality. This comprehensive review investigates aptamers and nanobodies recently developed as advanced MREs for SARS-CoV-2 diagnostic and therapeutic applications. These bioprobes might be integrated into organic bioelectronic materials and devices, with promising enhanced sensitivity and specificity. This review offers valuable insights into advancing biosensing technologies for infectious disease diagnosis and treatment using aptamers and nanobodies as new bioprobes.
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Affiliation(s)
| | | | | | | | | | - Seung Pil Pack
- Department of Biotechnology and Bioinformatics, Korea University, Sejong 30019, Republic of Korea; (K.S.P.); (T.-I.P.); (J.E.L.); (S.-Y.H.); (A.C.)
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Bi H, You R, Bian X, Li P, Zhao X, You Z. A magnetic control enrichment technique combined with terahertz metamaterial biosensor for detecting SARS-CoV-2 spike protein. Biosens Bioelectron 2024; 243:115763. [PMID: 37890389 DOI: 10.1016/j.bios.2023.115763] [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: 08/06/2023] [Revised: 10/12/2023] [Accepted: 10/15/2023] [Indexed: 10/29/2023]
Abstract
The highly contagious SARS-CoV-2 virus, responsible for the COVID-19 pandemic continues to pose significant challenges to public health. Developing new methods for early detection and diagnosis is crucial in combatting the disease, mitigating its impact and be prepared for future challenges in pandemic diseases. In this study, we propose a terahertz (THz) biosensing technology that capitalizes on the properties of THz metamaterial in conjunction with magnetic nanoparticles. This approach can accurately identify the SARS-CoV-2 spike protein by pinpointing its location on the THz resonance sources grooved surface. The magnetic nanoparticles are employed to selectively bind with target molecules, and migrate towards the THz metamaterial unit cell when exposed to an applied magnetic field. The presence of target molecules in to the metamaterial variation in the frequency, amplitude, and phase of the resonance response, thus enabling swift, accurate and sensitive detection. To assess the effectiveness of the proposed technique, we have conducted a comparative analysis between real samples on platforms controlled by magnetic manipulation and those without the control. It was confirmed that the proposed THz sensing method demonstrated a linear detection range spanning from 0.005 ng mL-1 to 1000 ng mL-1 with a detection limit of 0.002 ng mL-1. Furthermore, it exhibited a frequency shift of 24 GHz and a stability index of 95%. The THz biosensing technique may pave a new avenue in identifying and preempting the spread of potential pandemic diseases.
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Affiliation(s)
- Hao Bi
- Beijing Laboratory of Biomedical Detection Technology and Instrument, Beijing Information Science & Technology University, Beijing, 10029, PR China; School of Instrument Science and Opto-Electronics Engineering, Beijing Information Science and Technology University, Beijing, 100029, PR China
| | - Rui You
- Beijing Laboratory of Biomedical Detection Technology and Instrument, Beijing Information Science & Technology University, Beijing, 10029, PR China; School of Instrument Science and Opto-Electronics Engineering, Beijing Information Science and Technology University, Beijing, 100029, PR China.
| | - Xiaomeng Bian
- Beijing Laboratory of Biomedical Detection Technology and Instrument, Beijing Information Science & Technology University, Beijing, 10029, PR China; School of Instrument Science and Opto-Electronics Engineering, Beijing Information Science and Technology University, Beijing, 100029, PR China
| | - Peng Li
- State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instruments, Tsinghua University, Beijing, 100084, PR China; Key Laboratory of Smart Microsystem, Ministry of Education, Tsinghua University, Beijing, 100084, PR China; Beijing Advanced Innovation Center for Integrated Circuits, Beijing, 100084, PR China.
| | - Xiaoguang Zhao
- State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instruments, Tsinghua University, Beijing, 100084, PR China; Key Laboratory of Smart Microsystem, Ministry of Education, Tsinghua University, Beijing, 100084, PR China; Beijing Advanced Innovation Center for Integrated Circuits, Beijing, 100084, PR China.
| | - Zheng You
- State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instruments, Tsinghua University, Beijing, 100084, PR China; Key Laboratory of Smart Microsystem, Ministry of Education, Tsinghua University, Beijing, 100084, PR China; Beijing Advanced Innovation Center for Integrated Circuits, Beijing, 100084, PR China
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