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Liu W, Chung K, Yu S, Lee LP. Nanoplasmonic biosensors for environmental sustainability and human health. Chem Soc Rev 2024; 53:10491-10522. [PMID: 39192761 DOI: 10.1039/d3cs00941f] [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: 08/29/2024]
Abstract
Monitoring the health conditions of the environment and humans is essential for ensuring human well-being, promoting global health, and achieving sustainability. Innovative biosensors are crucial in accurately monitoring health conditions, uncovering the hidden connections between the environment and human well-being, and understanding how environmental factors trigger autoimmune diseases, neurodegenerative diseases, and infectious diseases. This review evaluates the use of nanoplasmonic biosensors that can monitor environmental health and human diseases according to target analytes of different sizes and scales, providing valuable insights for preventive medicine. We begin by explaining the fundamental principles and mechanisms of nanoplasmonic biosensors. We investigate the potential of nanoplasmonic techniques for detecting various biological molecules, extracellular vesicles (EVs), pathogens, and cells. We also explore the possibility of wearable nanoplasmonic biosensors to monitor the physiological network and healthy connectivity of humans, animals, plants, and organisms. This review will guide the design of next-generation nanoplasmonic biosensors to advance sustainable global healthcare for humans, the environment, and the planet.
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Affiliation(s)
- Wenpeng Liu
- Department of Medicine, Brigham Women's Hospital, Harvard Medical School, Harvard University, Boston, MA 02115, USA.
| | - Kyungwha Chung
- Department of Medicine, Brigham Women's Hospital, Harvard Medical School, Harvard University, Boston, MA 02115, USA.
- Department of Biophysics, Institute of Quantum Biophysics, Sungkyunkwan University, Suwon 16419, Republic of Korea
| | - Subin Yu
- Department of Medicine, Brigham Women's Hospital, Harvard Medical School, Harvard University, Boston, MA 02115, USA.
| | - Luke P Lee
- Department of Medicine, Brigham Women's Hospital, Harvard Medical School, Harvard University, Boston, MA 02115, USA.
- Department of Bioengineering, Department of Electrical Engineering and Computer Science, University of California at Berkeley, Berkeley, CA 94720, USA
- Department of Biophysics, Institute of Quantum Biophysics, Sungkyunkwan University, Suwon 16419, Republic of Korea
- Department of Chemistry and Nanoscience, Ewha Womans University, Seoul, 03760, Korea
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2
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Memon R, Niazi JH, Qureshi A. Biosensors for detection of airborne pathogenic fungal spores: a review. NANOSCALE 2024; 16:15419-15445. [PMID: 39078286 DOI: 10.1039/d4nr01175a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/31/2024]
Abstract
The excessive presence of airborne fungal spores presents major concerns with potential adverse impacts on public health and food safety. These spores are recognized as pathogens and allergens prevalent in both outdoor and indoor environments, particularly in public spaces such as hospitals, schools, offices and hotels. Indoor environments pose a heightened risk of pulmonary diseases due to continuous exposure to airborne fungal spore particles through constant inhalation, especially in those individuals with weakened immunity and immunocompromised conditions. Detection methods for airborne fungal spores are often expensive, time-consuming, and lack sensitivity, making them unsuitable for indoor/outdoor monitoring. However, the emergence of micro-nano biosensor systems offers promising solutions with miniaturized designs, nanomaterial integration, and microfluidic systems. This review provides a comprehensive overview of recent advancements in bio-nano-sensor system technology for detecting airborne fungal spores, while also discussing future trends in biosensor device development aimed at achieving rapid and selective identification of pathogenic airborne fungi.
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Affiliation(s)
- Roomia Memon
- Sabanci University, SUNUM Nanotechnology Research and Application Center, Orta Mah. Tuzla 34956, Istanbul, Turkey.
| | - Javed H Niazi
- Sabanci University, SUNUM Nanotechnology Research and Application Center, Orta Mah. Tuzla 34956, Istanbul, Turkey.
| | - Anjum Qureshi
- Sabanci University, SUNUM Nanotechnology Research and Application Center, Orta Mah. Tuzla 34956, Istanbul, Turkey.
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3
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Shamim S, Mohsin AS, Rahman MM, Hossain Bhuian MB. Recent advances in the metamaterial and metasurface-based biosensor in the gigahertz, terahertz, and optical frequency domains. Heliyon 2024; 10:e33272. [PMID: 39040247 PMCID: PMC11260956 DOI: 10.1016/j.heliyon.2024.e33272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Revised: 06/17/2024] [Accepted: 06/18/2024] [Indexed: 07/24/2024] Open
Abstract
Recently, metamaterials and metasurface have gained rapidly increasing attention from researchers due to their extraordinary optical and electrical properties. Metamaterials are described as artificially defined periodic structures exhibiting negative permittivity and permeability simultaneously. Whereas metasurfaces are the 2D analogue of metamaterials in the sense that they have a small but not insignificant depth. Because of their high optical confinement and adjustable optical resonances, these artificially engineered materials appear as a viable photonic platform for biosensing applications. This review paper discusses the recent development of metamaterial and metasurface in biosensing applications based on the gigahertz, terahertz, and optical frequency domains encompassing the whole electromagnetic spectrum. Overlapping features such as material selection, structure, and physical mechanisms were considered during the classification of our biosensing applications. Metamaterials and metasurfaces working in the GHz range provide prospects for better sensing of biological samples, THz frequencies, falling between GHz and optical frequencies, provide unique characteristics for biosensing permitting the exact characterization of molecular vibrations, with an emphasis on molecular identification, label-free analysis, and imaging of biological materials. Optical frequencies on the other hand cover the visible and near-infrared regions, allowing fine regulation of light-matter interactions enabling metamaterials and metasurfaces to offer excellent sensitivity and specificity in biosensing. The outcome of the sensor's sensitivity to an electric or magnetic field and the resonance frequency are, in theory, determined by the frequency domain and features. Finally, the challenges and possible future perspectives in biosensing application areas have been presented that use metamaterials and metasurfaces across diverse frequency domains to improve sensitivity, specificity, and selectivity in biosensing applications.
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Affiliation(s)
- Shadmani Shamim
- Department of Electrical and Electronic Engineering, Optics and Photonics Research Group, BRAC University, Kha 224 Bir Uttam Rafiqul Islam Avenue, Merul Badda, Dhaka 1212, Bangladesh
| | - Abu S.M. Mohsin
- Department of Electrical and Electronic Engineering, Optics and Photonics Research Group, BRAC University, Kha 224 Bir Uttam Rafiqul Islam Avenue, Merul Badda, Dhaka 1212, Bangladesh
| | - Md. Mosaddequr Rahman
- Department of Electrical and Electronic Engineering, Optics and Photonics Research Group, BRAC University, Kha 224 Bir Uttam Rafiqul Islam Avenue, Merul Badda, Dhaka 1212, Bangladesh
| | - Mohammed Belal Hossain Bhuian
- Department of Electrical and Electronic Engineering, Optics and Photonics Research Group, BRAC University, Kha 224 Bir Uttam Rafiqul Islam Avenue, Merul Badda, Dhaka 1212, Bangladesh
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Agarwal V, Yue Y, Zhang X, Feng X, Tao Y, Wang J. Spatial and temporal distribution of endotoxins, antibiotic resistance genes and mobile genetic elements in the air of a dairy farm in Germany. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 336:122404. [PMID: 37625772 DOI: 10.1016/j.envpol.2023.122404] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 08/15/2023] [Accepted: 08/16/2023] [Indexed: 08/27/2023]
Abstract
Antimicrobial resistance (AMR) is a serious issue that is continuously growing and spreading, leading to a dwindling number of effective treatments for infections that were easily treatable with antibiotics in the past. Animal farms are a major hotspot for AMR, where antimicrobials are often overused, misused, and abused, in addition to overcrowding of animals. In this study, we investigated the risk of AMR transmission from a farm to nearby residential areas by examining the overall occurrence of endotoxins, antibiotic resistance genes (ARGs), and mobile genetic elements (MGEs) in the air of a cattle farm. We assessed various factors, including the season and year, day and nighttime, and different locations within the farm building and its vicinity. The most abundant ARGs detected were tetW, aadA1, and sul2, genes that encode for resistances towards antibiotics commonly used in veterinary medicine. While there was a clear concentration gradient for endotoxin from the middle of the farm building to the outside areas, the abundance of ARGs and MGEs was relatively uniform among all locations within the farm and its vicinity. This suggests that endotoxins preferentially accumulated in the coarse particle fraction, which deposited quickly, as opposed to the ARGs and MGEs, which might concentrate in the fine particle fraction and remain longer in the aerosol phase. The occurrence of the same genes found in the air samples and in the manure indicated that ARGs and MGEs in the air mostly originated from the cows, continuously being released from the manure to the air. Although our atmospheric dispersion model indicated a relatively low risk for nearby residential areas, farm workers might be at greater risk of getting infected with resistant bacteria and experiencing overall respiratory tract issues due to continuous exposure to elevated concentrations of endotoxins, ARGs and MGEs in the air of the farm.
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Affiliation(s)
- V Agarwal
- Institute of Environmental Engineering, ETH Zurich, Switzerland; Laboratory for Advanced Analytical Technologies, Empa, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf, 8600, Switzerland
| | - Y Yue
- Institute of Environmental Engineering, ETH Zurich, Switzerland; Laboratory for Advanced Analytical Technologies, Empa, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf, 8600, Switzerland
| | - X Zhang
- Institute of Environmental Engineering, ETH Zurich, Switzerland; Laboratory for Advanced Analytical Technologies, Empa, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf, 8600, Switzerland
| | - X Feng
- Institute of Environmental Engineering, ETH Zurich, Switzerland; Laboratory for Advanced Analytical Technologies, Empa, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf, 8600, Switzerland
| | - Y Tao
- Institute of Environmental Engineering, ETH Zurich, Switzerland; Laboratory for Advanced Analytical Technologies, Empa, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf, 8600, Switzerland
| | - J Wang
- Institute of Environmental Engineering, ETH Zurich, Switzerland; Laboratory for Advanced Analytical Technologies, Empa, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf, 8600, Switzerland.
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5
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Qiu G, Spillmann M, Tang J, Zhao Y, Tao Y, Zhang X, Geschwindner H, Saleh L, Zingg W, Wang J. On-Site Quantification and Infection Risk Assessment of Airborne SARS-CoV-2 Virus Via a Nanoplasmonic Bioaerosol Sensing System in Healthcare Settings. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2022; 9:e2204774. [PMID: 36310114 PMCID: PMC9762303 DOI: 10.1002/advs.202204774] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Revised: 10/06/2022] [Indexed: 05/31/2023]
Abstract
On-site quantification and early-stage infection risk assessment of airborne severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) with high spatiotemporal resolution is a promising approach for mitigating the spread of coronavirus disease 2019 (COVID-19) pandemic and informing life-saving decisions. Here, a condensation (hygroscopic growth)-assisted bioaerosol collection and plasmonic photothermal sensing (CAPS) system for on-site quantitative risk analysis of SARS-CoV-2 virus-laden aerosols is presented. The CAPS system provided rapid thermoplasmonic biosensing results after an aerosol-to-hydrosol sampling process in COVID-19-related environments including a hospital and a nursing home. The detection limit reached 0.25 copies/µL in the complex aerosol background without further purification. More importantly, the CAPS system enabled direct measurement of the SARS-CoV-2 virus exposures with high spatiotemporal resolution. Measurement and feedback of the results to healthcare workers and patients via a QR-code are completed within two hours. Based on a dose-responseµ model, it is used the plasmonic biosensing signal to calculate probabilities of SARS-CoV-2 infection risk and estimate maximum exposure durations to an acceptable risk threshold in different environmental settings.
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Affiliation(s)
- Guangyu Qiu
- Institute of Environmental EngineeringETH ZürichZürich8093Switzerland
- Laboratory for Advanced Analytical TechnologiesEmpaSwiss Federal Laboratories for Materials Science and TechnologyDübendorf8600Switzerland
- Institute of Medical RoboticsShanghai Jiao Tong UniversityShanghaiP. R. China
| | - Martin Spillmann
- Institute of Environmental EngineeringETH ZürichZürich8093Switzerland
| | - Jiukai Tang
- Institute of Environmental EngineeringETH ZürichZürich8093Switzerland
- Laboratory for Advanced Analytical TechnologiesEmpaSwiss Federal Laboratories for Materials Science and TechnologyDübendorf8600Switzerland
| | - Yi‐Bo Zhao
- Institute of Environmental EngineeringETH ZürichZürich8093Switzerland
- Laboratory for Advanced Analytical TechnologiesEmpaSwiss Federal Laboratories for Materials Science and TechnologyDübendorf8600Switzerland
| | - Yile Tao
- Institute of Environmental EngineeringETH ZürichZürich8093Switzerland
| | - Xiaole Zhang
- Institute of Environmental EngineeringETH ZürichZürich8093Switzerland
| | - Heike Geschwindner
- Nursing Research and ScienceSenior Health Centres of the City of ZurichZurichSwitzerland
| | - Lanja Saleh
- Institute of Clinical ChemistryUniversity Hospital ZurichUniversity of ZurichZurich8091Switzerland
| | - Walter Zingg
- Clinic for Infectious Diseases and Hospital HygieneUniversity Hospital of ZurichZurich8091Switzerland
| | - Jing Wang
- Institute of Environmental EngineeringETH ZürichZürich8093Switzerland
- Laboratory for Advanced Analytical TechnologiesEmpaSwiss Federal Laboratories for Materials Science and TechnologyDübendorf8600Switzerland
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Abstract
Optofluidics represents the interaction of light and fluids on a chip that integrates microfluidics and optics, which provides a promising optical platform for manipulating and analyzing fluid samples. Recent years have witnessed a substantial growth in optofluidic devices, including the integration of optical and fluidic control units, the incorporation of diverse photonic nanostructures, and new applications. All these advancements have enabled the implementation of optofluidics with improved performance. In this review, the recent advances of fabrication techniques and cutting-edge applications of optofluidic devices are presented, with a special focus on the developments of imaging and sensing. Specifically, the optofluidic based imaging techniques and applications are summarized, including the high-throughput cytometry, biochemical analysis, and optofluidic nanoparticle manipulation. The optofluidic sensing section is categorized according to the modulation approaches and the transduction mechanisms, represented by absorption, reflection/refraction, scattering, and plasmonics. Perspectives on future developments and promising avenues in the fields of optofluidics are also provided.
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Li M, Wang L, Qi W, Liu Y, Lin J. Challenges and Perspectives for Biosensing of Bioaerosol Containing Pathogenic Microorganisms. MICROMACHINES 2021; 12:798. [PMID: 34357208 PMCID: PMC8307108 DOI: 10.3390/mi12070798] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/12/2021] [Revised: 06/29/2021] [Accepted: 07/04/2021] [Indexed: 12/20/2022]
Abstract
As an important route for disease transmission, bioaerosols have received increasing attention. In the past decades, many efforts were made to facilitate the development of bioaerosol monitoring; however, there are still some important challenges in bioaerosol collection and detection. Thus, recent advances in bioaerosol collection (such as sedimentation, filtration, centrifugation, impaction, impingement, and microfluidics) and detection methods (such as culture, molecular biological assay, and immunological assay) were summarized in this review. Besides, the important challenges and perspectives for bioaerosol biosensing were also discussed.
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Affiliation(s)
| | | | | | | | - Jianhan Lin
- Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing 100083, China; (M.L.); (L.W.); (W.Q.); (Y.L.)
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Das Mukhopadhyay C, Sharma P, Sinha K, Rajarshi K. Recent trends in analytical and digital techniques for the detection of the SARS-Cov-2. Biophys Chem 2021; 270:106538. [PMID: 33418105 PMCID: PMC7768211 DOI: 10.1016/j.bpc.2020.106538] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Revised: 11/30/2020] [Accepted: 12/24/2020] [Indexed: 12/26/2022]
Abstract
The current global outbreak of COVID-19 due to SARS-CoV-2 is an unprecedented humanitarian crisis. Considering the gravity of its impact there is an immediate need to develop a detection technique that is sensitive, specific, fast, and affordable for the clinical diagnosis of the disease. Real time Polymerase Chain Reaction (RT-PCR)-based detection platforms are contemplated to be the gold standard to detect viral RNA. However, that may be susceptible to errors, and there is a risk of obtaining false results, which ultimately compromises the strategy of efficient disease management. Several modern techniques exhibiting assured results with enhanced sensitivity and specificity against the SARS-CoV-2 associated viral components or immune response against it have been developed and may be implemented. The review deals with the conventional RT-PCR detection techniques and compares them to other detection platforms viz., biosensor based detection of antigens, fluorescent or colorimetric detection systems including CRISPR-Cas 13 based SHERLOCK kit, CRISPR Cas-9 based FELUDA test kit, CRISPR DETECTR kit, Next Generation Sequencing or microarray-based kits. These modern techniques are great as a point of care detection methods but should be followed by RT PCR based detection for the confirmation of COVID-19 status.
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Affiliation(s)
- Chitrangada Das Mukhopadhyay
- Centre for Healthcare Science and Technology, Indian Institute of Engineering Science and Technology (IIEST), Shibpur, Howrah, West Bengal 711103, India.
| | - Pramita Sharma
- Centre for Healthcare Science and Technology, Indian Institute of Engineering Science and Technology (IIEST), Shibpur, Howrah, West Bengal 711103, India
| | - Koel Sinha
- Centre for Healthcare Science and Technology, Indian Institute of Engineering Science and Technology (IIEST), Shibpur, Howrah, West Bengal 711103, India
| | - Keshav Rajarshi
- School of Community Science and Technology, Indian Institute of Engineering Science and Technology (IIEST), Shibpur, Howrah, West Bengal 711103, India
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Alhalaili B, Popescu IN, Kamoun O, Alzubi F, Alawadhia S, Vidu R. Nanobiosensors for the Detection of Novel Coronavirus 2019-nCoV and Other Pandemic/Epidemic Respiratory Viruses: A Review. SENSORS (BASEL, SWITZERLAND) 2020; 20:E6591. [PMID: 33218097 PMCID: PMC7698809 DOI: 10.3390/s20226591] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Revised: 11/10/2020] [Accepted: 11/11/2020] [Indexed: 02/08/2023]
Abstract
The coronavirus disease 2019 (COVID-19) pandemic is considered a public health emergency of international concern. The 2019 novel coronavirus (2019-nCoV) or severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that caused this pandemic has spread rapidly to over 200 countries, and has drastically affected public health and the economies of states at unprecedented levels. In this context, efforts around the world are focusing on solving this problem in several directions of research, by: (i) exploring the origin and evolution of the phylogeny of the SARS-CoV-2 viral genome; (ii) developing nanobiosensors that could be highly effective in detecting the new coronavirus; (iii) finding effective treatments for COVID-19; and (iv) working on vaccine development. In this paper, an overview of the progress made in the development of nanobiosensors for the detection of human coronaviruses (SARS-CoV, SARS-CoV-2, and Middle East respiratory syndrome coronavirus (MERS-CoV) is presented, along with specific techniques for modifying the surface of nanobiosensors. The newest detection methods of the influenza virus responsible for acute respiratory syndrome were compared with conventional methods, highlighting the newest trends in diagnostics, applications, and challenges of SARS-CoV-2 (COVID-19 causative virus) nanobiosensors.
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Affiliation(s)
- Badriyah Alhalaili
- Nanotechnology and Advanced Materials Program, Kuwait Institute for Scientific Research, P.O. Box 24885, Safat 13109, Kuwait; (B.A.); (F.A.); (S.A.)
| | - Ileana Nicoleta Popescu
- Faculty of Materials Engineering and Mechanics, Valahia University of Targoviste, 13 Aleea Sinaia Street, 130004 Targoviste, Romania
| | - Olfa Kamoun
- Physics of Semiconductor Devices Unit, Faculty of Sciences of Tunis, Tunis El Manar University, Tunis 1068, Tunisia;
| | - Feras Alzubi
- Nanotechnology and Advanced Materials Program, Kuwait Institute for Scientific Research, P.O. Box 24885, Safat 13109, Kuwait; (B.A.); (F.A.); (S.A.)
| | - Sami Alawadhia
- Nanotechnology and Advanced Materials Program, Kuwait Institute for Scientific Research, P.O. Box 24885, Safat 13109, Kuwait; (B.A.); (F.A.); (S.A.)
| | - Ruxandra Vidu
- Faculty of Materials Science and Engineering, University Politehnica of Bucharest, 060042 Bucharest, Romania
- Department of Electrical and Computer Engineering, University of California Davis, Davis, CA 95616, USA
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Qiu G, Gai Z, Tao Y, Schmitt J, Kullak-Ublick GA, Wang J. Dual-Functional Plasmonic Photothermal Biosensors for Highly Accurate Severe Acute Respiratory Syndrome Coronavirus 2 Detection. ACS NANO 2020; 14:5268-5277. [PMID: 32281785 DOI: 10.1021/acsnano.0c0243910.1021/acsnano.0c02439.s001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/28/2023]
Abstract
The ongoing outbreak of the novel coronavirus disease (COVID-19) has spread globally and poses a threat to public health in more than 200 countries. Reliable laboratory diagnosis of the disease has been one of the foremost priorities for promoting public health interventions. The routinely used reverse transcription polymerase chain reaction (RT-PCR) is currently the reference method for COVID-19 diagnosis. However, it also reported a number of false-positive or -negative cases, especially in the early stages of the novel virus outbreak. In this work, a dual-functional plasmonic biosensor combining the plasmonic photothermal (PPT) effect and localized surface plasmon resonance (LSPR) sensing transduction provides an alternative and promising solution for the clinical COVID-19 diagnosis. The two-dimensional gold nanoislands (AuNIs) functionalized with complementary DNA receptors can perform a sensitive detection of the selected sequences from severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) through nucleic acid hybridization. For better sensing performance, the thermoplasmonic heat is generated on the same AuNIs chip when illuminated at their plasmonic resonance frequency. The localized PPT heat is capable to elevate the in situ hybridization temperature and facilitate the accurate discrimination of two similar gene sequences. Our dual-functional LSPR biosensor exhibits a high sensitivity toward the selected SARS-CoV-2 sequences with a lower detection limit down to the concentration of 0.22 pM and allows precise detection of the specific target in a multigene mixture. This study gains insight into the thermoplasmonic enhancement and its applicability in the nucleic acid tests and viral disease diagnosis.
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Affiliation(s)
- Guangyu Qiu
- Institute of Environmental Engineering, ETH Zürich, Zürich 8093, Switzerland
- Laboratory for Advanced Analytical Technologies, Empa, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf 8600, Switzerland
| | - Zhibo Gai
- Department of Clinical Pharmacology and Toxicology, University Hospital Zurich, University of Zürich, Zürich 8091, Switzerland
- Experimental Center, Shandong University of Traditional Chinese Medicine, Jinan 250355, PR China
| | - Yile Tao
- Institute of Environmental Engineering, ETH Zürich, Zürich 8093, Switzerland
- Laboratory for Advanced Analytical Technologies, Empa, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf 8600, Switzerland
| | - Jean Schmitt
- Institute of Environmental Engineering, ETH Zürich, Zürich 8093, Switzerland
- Laboratory for Advanced Analytical Technologies, Empa, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf 8600, Switzerland
| | - Gerd A Kullak-Ublick
- Department of Clinical Pharmacology and Toxicology, University Hospital Zurich, University of Zürich, Zürich 8091, Switzerland
- Mechanistic Safety, CMO & Patient Safety, Global Drug Development, Novartis Pharma, Basel 4002, Switzerland
| | - Jing Wang
- Institute of Environmental Engineering, ETH Zürich, Zürich 8093, Switzerland
- Laboratory for Advanced Analytical Technologies, Empa, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf 8600, Switzerland
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11
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Qiu G, Gai Z, Tao Y, Schmitt J, Kullak-Ublick GA, Wang J. Dual-Functional Plasmonic Photothermal Biosensors for Highly Accurate Severe Acute Respiratory Syndrome Coronavirus 2 Detection. ACS NANO 2020; 14:5268-5277. [PMID: 32281785 PMCID: PMC7158889 DOI: 10.1021/acsnano.0c02439] [Citation(s) in RCA: 647] [Impact Index Per Article: 161.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/21/2020] [Accepted: 04/08/2020] [Indexed: 05/05/2023]
Abstract
The ongoing outbreak of the novel coronavirus disease (COVID-19) has spread globally and poses a threat to public health in more than 200 countries. Reliable laboratory diagnosis of the disease has been one of the foremost priorities for promoting public health interventions. The routinely used reverse transcription polymerase chain reaction (RT-PCR) is currently the reference method for COVID-19 diagnosis. However, it also reported a number of false-positive or -negative cases, especially in the early stages of the novel virus outbreak. In this work, a dual-functional plasmonic biosensor combining the plasmonic photothermal (PPT) effect and localized surface plasmon resonance (LSPR) sensing transduction provides an alternative and promising solution for the clinical COVID-19 diagnosis. The two-dimensional gold nanoislands (AuNIs) functionalized with complementary DNA receptors can perform a sensitive detection of the selected sequences from severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) through nucleic acid hybridization. For better sensing performance, the thermoplasmonic heat is generated on the same AuNIs chip when illuminated at their plasmonic resonance frequency. The localized PPT heat is capable to elevate the in situ hybridization temperature and facilitate the accurate discrimination of two similar gene sequences. Our dual-functional LSPR biosensor exhibits a high sensitivity toward the selected SARS-CoV-2 sequences with a lower detection limit down to the concentration of 0.22 pM and allows precise detection of the specific target in a multigene mixture. This study gains insight into the thermoplasmonic enhancement and its applicability in the nucleic acid tests and viral disease diagnosis.
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Affiliation(s)
- Guangyu Qiu
- Institute of Environmental Engineering,
ETH Zürich, Zürich 8093,
Switzerland
- Laboratory for Advanced Analytical Technologies, Empa,
Swiss Federal Laboratories for Materials Science and
Technology, Dübendorf 8600, Switzerland
| | - Zhibo Gai
- Department of Clinical Pharmacology and Toxicology,
University Hospital Zurich, University of Zürich,
Zürich 8091, Switzerland
- Experimental Center, Shandong University
of Traditional Chinese Medicine, Jinan 250355, PR
China
| | - Yile Tao
- Institute of Environmental Engineering,
ETH Zürich, Zürich 8093,
Switzerland
- Laboratory for Advanced Analytical Technologies, Empa,
Swiss Federal Laboratories for Materials Science and
Technology, Dübendorf 8600, Switzerland
| | - Jean Schmitt
- Institute of Environmental Engineering,
ETH Zürich, Zürich 8093,
Switzerland
- Laboratory for Advanced Analytical Technologies, Empa,
Swiss Federal Laboratories for Materials Science and
Technology, Dübendorf 8600, Switzerland
| | - Gerd A. Kullak-Ublick
- Department of Clinical Pharmacology and Toxicology,
University Hospital Zurich, University of Zürich,
Zürich 8091, Switzerland
- Mechanistic Safety, CMO & Patient Safety, Global
Drug Development, Novartis Pharma, Basel 4002,
Switzerland
| | - Jing Wang
- Institute of Environmental Engineering,
ETH Zürich, Zürich 8093,
Switzerland
- Laboratory for Advanced Analytical Technologies, Empa,
Swiss Federal Laboratories for Materials Science and
Technology, Dübendorf 8600, Switzerland
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