1
|
Ly NH, Choo J, Gnanasekaran L, Aminabhavi TM, Vasseghian Y, Joo SW. Recent Plasmonic Gold- and Silver-Assisted Raman Spectra for Advanced SARS-CoV-2 Detection. ACS APPLIED BIO MATERIALS 2024. [PMID: 39665205 DOI: 10.1021/acsabm.4c01457] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2024]
Abstract
COVID-19 has become one of the deadliest epidemics in the past years. In efforts to combat the deadly disease besides vaccines, drug therapies, and facemasks, significant focus has been on designing specific methods for the sensitive and accurate detection of SARS-CoV-2. Of these, surface-enhanced Raman scattering (SERS) is an attractive analytical tool for the identification of SARS-CoV-2. SERS is the phenomenon of enhancement of Raman intensity signals from molecular analytes anchored onto the surfaces of roughened plasmonic nanomaterials. This work gives an updated summary of plasmonic gold nanomaterials (AuNMs) and silver nanomaterials (AgNMs)-based SERS technologies to identify SARS-CoV-2. Due to extreme "hot spots" promoting higher electromagnetic fields on their surfaces, different shapes of AuNMs and AgNMs combined with Raman probes have been reviewed for enhancing Raman signals of probe molecules for quantifying the virus. It also reviews progress made recently in the design of certain specific Raman probe molecules capable of imparting characteristic SERS response/tags for SARS-CoV-2 detection.
Collapse
Affiliation(s)
- Nguyễn Hoàng Ly
- Department of Chemistry, Gachon University, Seongnam 13120, South Korea
| | - Jaebum Choo
- Department of Chemistry, Chung-Ang University, Seoul 06974, South Korea
| | | | - Tejraj Malleshappa Aminabhavi
- Center for Energy and Environment, School of Advanced Sciences, KLE Technological University, Hubballi, Karnataka 580031, India
- Korea University, Seoul 02841, South Korea
| | - Yasser Vasseghian
- Department of Chemistry, Soongsil University, Seoul 06978, South Korea
- Centre for Herbal Pharmacology and Environmental Sustainability, Chettinad Hospital and Research Institute, Chettinad Academy of Research and Education, Kelambakkam 603103, Tamil Nadu, India
| | - Sang-Woo Joo
- Department of Chemistry, Soongsil University, Seoul 06978, South Korea
| |
Collapse
|
2
|
Lee S, Zhao Q, Lee S, Lee Y, Jung I, Park S. Plasmonic Nanotrenches with 1 nm Nanogaps for Surface-Enhanced Raman Scattering-Based Screening of His-Tagged Proteins. NANO LETTERS 2024; 24:12315-12322. [PMID: 39311749 DOI: 10.1021/acs.nanolett.4c03783] [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: 10/03/2024]
Abstract
This study represents a highly sensitive and selective approach to protein screening using surface-enhanced Raman scattering (SERS) facilitated by octahedral Au nanotrenches (OANTs). OANTs are a novel class of nanoparticles characterized by narrow, trench-like excavations indented into the eight facets of a Au octahedron. This unique configuration maximizes electromagnetic near-field focusing as the gap distance decreases to ∼1 nm. Owing to geometrical characteristics of the OANTs, near-field focusing can be maximized through the confinement and reflectance of light trapped within the trenches. We used Ni ions and molecular linkers to confer selective binding affinity for His-tagged proteins on the surfaces of the OANTs for SERS-based protein screening. Remarkably, SERS-based protein screening with the surface-modified OANTs yielded outstanding screening capabilities: 100% sensitivity and 100% selectivity in distinguishing His-tagged human serum albumin (HSA) from native HSA. This highlights the significantly enhanced protein screening capabilities achieved through the synergistic combination of SERS and the OANTs.
Collapse
Affiliation(s)
- Sungwoo Lee
- Department of Chemistry, Sungkyunkwan University, Suwon 16419, Republic of Korea
- Institute of Basic Science, Sungkyunkwan University, Suwon 16419, Republic of Korea
| | - Qiang Zhao
- Department of Chemistry, Sungkyunkwan University, Suwon 16419, Republic of Korea
| | - Soohyun Lee
- Department of Chemistry, Sungkyunkwan University, Suwon 16419, Republic of Korea
| | - Yujin Lee
- Department of Chemistry, Yonsei University, Seoul 03722, Republic of Korea
| | - Insub Jung
- Department of Chemistry, Yonsei University, Seoul 03722, Republic of Korea
| | - Sungho Park
- Department of Chemistry, Yonsei University, Seoul 03722, Republic of Korea
| |
Collapse
|
3
|
Tang C, Zhou K, Wu D, Zhu H. Nanoparticles as a Novel Platform for Cardiovascular Disease Diagnosis and Therapy. Int J Nanomedicine 2024; 19:8831-8846. [PMID: 39220195 PMCID: PMC11365508 DOI: 10.2147/ijn.s474888] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2024] [Accepted: 08/18/2024] [Indexed: 09/04/2024] Open
Abstract
Cardiovascular disease (CVD) is a major global health issue with high mortality and morbidity rates. With the advances in nanotechnology, nanoparticles are receiving increasing attention in diagnosing and treating CVD. Previous studies have explored the use of nanoparticles in noninvasive diagnostic technologies, such as magnetic resonance imaging and computed tomography. Nanoparticles have been extensively studied as drug carriers and prognostic factors, demonstrating synergistic efficacy. This review summarized the current applications of nanoparticles in CVD and discussed their opportunities and challenges for further exploration.
Collapse
Affiliation(s)
- Chuanyun Tang
- The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, People’s Republic of China
| | - Kexun Zhou
- Department of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, People’s Republic of China
| | - Di Wu
- The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, People’s Republic of China
| | - Hong Zhu
- Department of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, People’s Republic of China
| |
Collapse
|
4
|
Li P, Zhang H, Yang Z, Li Y, Huang M, Yang L, Zhang X. Rapid fluorescent nucleic acid sensing with ultra-thin gold nanosheets. Anal Chim Acta 2024; 1317:342872. [PMID: 39030016 DOI: 10.1016/j.aca.2024.342872] [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: 01/20/2024] [Revised: 05/31/2024] [Accepted: 06/13/2024] [Indexed: 07/21/2024]
Abstract
Fluorescently labeled DNA oligonucleotides and gold nanospheres have been frequently utilized in biosensors, providing efficient nucleic acid detection. Nevertheless, the restricted loading capacity of gold nanospheres undermines overall sensitivity. In this study, we employed four-atom-thick ultrathin gold nanosheets (AuNSs), utilizing a "pre-mix model" for rapid target nucleic acid detection. In this approach, fluorescently labeled DNA probes were pre-incubated with the target nucleic acid, followed by the addition of AuNSs for probe adsorption and fluorescence quenching. With the developed method, we efficiently and rapidly detected the SARS-CoV-2 N gene sequence within 30 min, involving a brief 15-min target pre-incubation and a subsequent 15-min adsorption of free probes and fluorescence quenching by AuNSs. This method exhibited heightened sensitivity compared to gold nanospheres, boasting a limit of detection (LOD) of 0.808 nM. Furthermore, exceptional recovery was achieved in simulated biological samples. The study introduces an effective strategy for nucleic acid sensing characterized by rapidity, heightened sensitivity, ease of operation, and robustness. These findings encourage further development of rapid biomarker sensing methods employing 2D nanomaterials.
Collapse
Affiliation(s)
- Peiyin Li
- School of Pharmacy, Shenzhen University Medical School, Shenzhen University, Shenzhen, 518055, China
| | - Huiyang Zhang
- School of Pharmacy, Shenzhen University Medical School, Shenzhen University, Shenzhen, 518055, China
| | - Zhenyu Yang
- School of Biomedical Engineering, Marshall Laboratory of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Guangdong, 518055, China
| | - Yiling Li
- School of Pharmacy, Shenzhen University Medical School, Shenzhen University, Shenzhen, 518055, China
| | - Manli Huang
- School of Pharmacy, Shenzhen University Medical School, Shenzhen University, Shenzhen, 518055, China
| | - Lingzhi Yang
- School of Pharmacy, Shenzhen University Medical School, Shenzhen University, Shenzhen, 518055, China.
| | - Xueji Zhang
- School of Biomedical Engineering, Marshall Laboratory of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Guangdong, 518055, China
| |
Collapse
|
5
|
Awad H, El-Brolossy TA, Abdallah T, Osman A, Negm S, Mansour OI, Girgis SA, Hafez HM, Zaki AM, Talaat H. Accurate and reliable surface-enhanced Raman spectroscopy assay for early detection of SARS-CoV-2 RNA with exceptional sensitivity. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2024; 315:124184. [PMID: 38608556 DOI: 10.1016/j.saa.2024.124184] [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: 10/25/2023] [Revised: 02/28/2024] [Accepted: 03/22/2024] [Indexed: 04/14/2024]
Abstract
This research proposes a highly sensitive and simple surface-enhanced Raman spectroscopy (SERS) assay for the detection of SARS-CoV-2 RNA using suitably designed probes specific for RdRp and N viral genes attached to a Raman marker. The sensitivity of the assay was optimized through precise adjustments to the conditions of immobilization and hybridization processes of the target RNA, including modifications to factors such as time and temperature. The assay achieved a remarkable sensitivity down to 58.39 copies/mL, comparable to or lower than the sensitivities reported for commercial fluorescent polymerase chain reaction (PCR) based methods. It has good selectivity in discriminating SARS-CoV-2 RNA against other respiratory viruses, respiratory syncytial virus (RSV), and influenza A virus. The reliability of the assay was validated by testing 24 clinical samples, including 12 positive samples with varying cycle threshold (Ct) values and 12 negative samples previously tested using real-time PCR. The assay consistently predicted true results that were in line with the PCR results for all samples. Furthermore, the assay demonstrated a notable limit of detection (LOD) of Ct (38 for RdRp gene and 37.5 for N-gene), indicating its capability to detect low concentrations of the target analyte and potentially facilitating early detection of the pathogen.
Collapse
Affiliation(s)
- Hend Awad
- Physics Department, Faculty of Science, Ain Shams University, Cairo, Egypt
| | | | - Tamer Abdallah
- Physics Department, Faculty of Science, Ain Shams University, Cairo, Egypt
| | - Ahmed Osman
- Institute of Basic and Applied Science - Egpt-Japan University of Science and Technology (E-JUST), Egypt
| | - Sohair Negm
- Department of Physics and Mathematics, Banha University, Banha, Egypt
| | | | | | - Hala M Hafez
- Faculty of Medicine, Ain Shams University, Cairo, Egypt
| | - Ali M Zaki
- Faculty of Medicine, Ain Shams University, Cairo, Egypt
| | - Hassan Talaat
- Physics Department, Faculty of Science, Ain Shams University, Cairo, Egypt
| |
Collapse
|
6
|
Kostyuk AI, Rapota DD, Morozova KI, Fedotova AA, Jappy D, Semyanov AV, Belousov VV, Brazhe NA, Bilan DS. Modern optical approaches in redox biology: Genetically encoded sensors and Raman spectroscopy. Free Radic Biol Med 2024; 217:68-115. [PMID: 38508405 DOI: 10.1016/j.freeradbiomed.2024.03.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Revised: 02/10/2024] [Accepted: 03/13/2024] [Indexed: 03/22/2024]
Abstract
The objective of the current review is to summarize the current state of optical methods in redox biology. It consists of two parts, the first is dedicated to genetically encoded fluorescent indicators and the second to Raman spectroscopy. In the first part, we provide a detailed classification of the currently available redox biosensors based on their target analytes. We thoroughly discuss the main architecture types of these proteins, the underlying engineering strategies for their development, the biochemical properties of existing tools and their advantages and disadvantages from a practical point of view. Particular attention is paid to fluorescence lifetime imaging microscopy as a possible readout technique, since it is less prone to certain artifacts than traditional intensiometric measurements. In the second part, the characteristic Raman peaks of the most important redox intermediates are listed, and examples of how this knowledge can be implemented in biological studies are given. This part covers such fields as estimation of the redox states and concentrations of Fe-S clusters, cytochromes, other heme-containing proteins, oxidative derivatives of thiols, lipids, and nucleotides. Finally, we touch on the issue of multiparameter imaging, in which biosensors are combined with other visualization methods for simultaneous assessment of several cellular parameters.
Collapse
Affiliation(s)
- Alexander I Kostyuk
- M.M. Shemyakin and Yu.A. Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Moscow, 117997, Russia; Pirogov Russian National Research Medical University, 117997, Moscow, Russia
| | - Diana D Rapota
- M.M. Shemyakin and Yu.A. Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Moscow, 117997, Russia
| | - Kseniia I Morozova
- Faculty of Biology, M.V. Lomonosov Moscow State University, Moscow, 119234, Russia
| | - Anna A Fedotova
- M.M. Shemyakin and Yu.A. Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Moscow, 117997, Russia; Faculty of Biology, M.V. Lomonosov Moscow State University, Moscow, 119234, Russia
| | - David Jappy
- Federal Center of Brain Research and Neurotechnologies, Federal Medical Biological Agency, Moscow, 117997, Russia
| | - Alexey V Semyanov
- M.M. Shemyakin and Yu.A. Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Moscow, 117997, Russia; Faculty of Biology, M.V. Lomonosov Moscow State University, Moscow, 119234, Russia; Sechenov First Moscow State Medical University, Moscow, 119435, Russia; College of Medicine, Jiaxing University, Jiaxing, Zhejiang Province, 314001, China
| | - Vsevolod V Belousov
- M.M. Shemyakin and Yu.A. Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Moscow, 117997, Russia; Pirogov Russian National Research Medical University, 117997, Moscow, Russia; Federal Center of Brain Research and Neurotechnologies, Federal Medical Biological Agency, Moscow, 117997, Russia; Life Improvement by Future Technologies (LIFT) Center, Skolkovo, Moscow, 143025, Russia
| | - Nadezda A Brazhe
- M.M. Shemyakin and Yu.A. Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Moscow, 117997, Russia; Faculty of Biology, M.V. Lomonosov Moscow State University, Moscow, 119234, Russia.
| | - Dmitry S Bilan
- M.M. Shemyakin and Yu.A. Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Moscow, 117997, Russia; Pirogov Russian National Research Medical University, 117997, Moscow, Russia.
| |
Collapse
|
7
|
Khanthaphixay B, Wu L, Yoon JY. Microparticle-Based Detection of Viruses. BIOSENSORS 2023; 13:820. [PMID: 37622906 PMCID: PMC10452130 DOI: 10.3390/bios13080820] [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: 07/19/2023] [Revised: 08/04/2023] [Accepted: 08/10/2023] [Indexed: 08/26/2023]
Abstract
Surveillance of viral pathogens in both point-of-care and clinical settings is imperative to preventing the widespread propagation of disease-undetected viral outbreaks can pose dire health risks on a large scale. Thus, portable, accessible, and reliable biosensors are necessary for proactive measures. Polymeric microparticles have recently gained popularity for their size, surface area, and versatility, which make them ideal biosensing tools. This review cataloged recent investigations on polymeric microparticle-based detection platforms across eight virus families. These microparticles were used as labels for detection (often with fluorescent microparticles) and for capturing viruses for isolation or purification (often with magnetic microparticles). We also categorized all methods by the characteristics, materials, conjugated receptors, and size of microparticles. Current approaches were compared, addressing strengths and weaknesses in the context of virus detection. In-depth analyses were conducted for each virus family, categorizing whether the polymeric microparticles were used as labels, for capturing, or both. We also summarized the types of receptors conjugated to polymeric microparticles for each virus family.
Collapse
Affiliation(s)
| | | | - Jeong-Yeol Yoon
- Department of Biomedical Engineering, The University of Arizona, Tucson, AZ 75721, USA; (B.K.); (L.W.)
| |
Collapse
|
8
|
Li Y, Chen J, Wei J, Liu X, Yu L, Yu L, Ding D, Yang Y. Metallic nanoplatforms for COVID-19 diagnostics: versatile applications in the pandemic and post-pandemic era. J Nanobiotechnology 2023; 21:255. [PMID: 37542245 PMCID: PMC10403867 DOI: 10.1186/s12951-023-01981-5] [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: 03/04/2023] [Accepted: 07/03/2023] [Indexed: 08/06/2023] Open
Abstract
The COVID-19 pandemic, which originated in Hubei, China, in December 2019, has had a profound impact on global public health. With the elucidation of the SARS-CoV-2 virus structure, genome type, and routes of infection, a variety of diagnostic methods have been developed for COVID-19 detection and surveillance. Although the pandemic has been declared over, we are still significantly affected by it in our daily lives in the post-pandemic era. Among the various diagnostic methods, nanomaterials, especially metallic nanomaterials, have shown great potential in the field of bioanalysis due to their unique physical and chemical properties. This review highlights the important role of metallic nanosensors in achieving accurate and efficient detection of COVID-19 during the pandemic outbreak and spread. The sensing mechanisms of each diagnostic device capable of analyzing a range of targets, including viral nucleic acids and various proteins, are described. Since SARS-CoV-2 is constantly mutating, strategies for dealing with new variants are also suggested. In addition, we discuss the analytical tools needed to detect SARS-CoV-2 variants in the current post-pandemic era, with a focus on achieving rapid and accurate detection. Finally, we address the challenges and future directions of metallic nanomaterial-based COVID-19 detection, which may inspire researchers to develop advanced biosensors for COVID-19 monitoring and rapid response to other virus-induced pandemics based on our current achievements.
Collapse
Affiliation(s)
- Yuqing Li
- Institute of Molecular Medicine (IMM), School of Medicine, Renji Hospital, Shanghai Jiao Tong University, Shanghai, 200127, China
- Institute of Functional Nano & Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon-Based Functional Mate-Rials & Devices, Soochow University, Suzhou, 215123, China
| | - Jingqi Chen
- Institute of Molecular Medicine (IMM), School of Medicine, Renji Hospital, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Jinchao Wei
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau, China
| | - Xueliang Liu
- Institute of Molecular Medicine (IMM), School of Medicine, Renji Hospital, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Lu Yu
- Institute of Molecular Medicine (IMM), School of Medicine, Renji Hospital, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Linqi Yu
- Department of Immunization Program, Jing'an District Center for Disease Control and Prevention, Shanghai, 200072, China.
| | - Ding Ding
- Institute of Molecular Medicine (IMM), School of Medicine, Renji Hospital, Shanghai Jiao Tong University, Shanghai, 200127, China.
| | - Yu Yang
- Institute of Molecular Medicine (IMM), School of Medicine, Renji Hospital, Shanghai Jiao Tong University, Shanghai, 200127, China.
| |
Collapse
|
9
|
Smith BR, Edelman ER. Nanomedicines for cardiovascular disease. NATURE CARDIOVASCULAR RESEARCH 2023; 2:351-367. [PMID: 39195953 DOI: 10.1038/s44161-023-00232-y] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Accepted: 01/25/2023] [Indexed: 08/29/2024]
Abstract
The leading cause of death in the world, cardiovascular disease (CVD), remains a formidable condition for researchers, clinicians and patients alike. CVD comprises a broad collection of diseases spanning the heart, the vasculature and the blood that runs through and interconnects them. Limitations in CVD therapeutic and diagnostic landscapes have generated excitement for advances in nanomedicine, a field focused on improving patient outcomes through transformative therapies, imaging agents and ex vivo diagnostics. CVD nanomedicines are fundamentally shaped by their intended clinical application, including (1) cardiac or heart-related biomaterials, which can be functionally (for example, mechanically, immunologically, electrically) improved by incorporating nanomaterials; (2) the vasculature, involving systemically injected nanotherapeutics and imaging nanodiagnostics, nano-enabled biomaterials or tissue-nanoengineered solutions; and (3) improving the sensitivity and/or specificity of ex vivo diagnostic devices for patient samples. While immunotherapy has developed into a key pillar of oncology in the past dozen years, CVD immunotherapy and immunoimaging are recently emergent and likely to factor substantially in CVD management in the coming decade. The nanomaterials in CVD-related clinical trials and many promising preclinical strategies indicate that nanomedicine is on the cusp of greatly impacting patients with CVD. Here we review these recent advances, highlighting key clinical opportunities in the rapidly emerging field of CVD nanomedicine.
Collapse
Affiliation(s)
- Bryan Ronain Smith
- Department of Biomedical Engineering and Institute for Quantitative Health Science and Engineering (IQ), Michigan State University, East Lansing, MI, USA.
| | - Elazer R Edelman
- Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA
- Cardiovascular Division, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| |
Collapse
|
10
|
Choi HK, Yoon J. Nanotechnology-Assisted Biosensors for the Detection of Viral Nucleic Acids: An Overview. BIOSENSORS 2023; 13:208. [PMID: 36831973 PMCID: PMC9953881 DOI: 10.3390/bios13020208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 01/21/2023] [Accepted: 01/28/2023] [Indexed: 06/18/2023]
Abstract
The accurate and rapid diagnosis of viral diseases has garnered increasing attention in the field of biosensors. The development of highly sensitive, selective, and accessible biosensors is crucial for early disease detection and preventing mortality. However, developing biosensors optimized for viral disease diagnosis has several limitations, including the accurate detection of mutations. For decades, nanotechnology has been applied in numerous biological fields such as biosensors, bioelectronics, and regenerative medicine. Nanotechnology offers a promising strategy to address the current limitations of conventional viral nucleic acid-based biosensors. The implementation of nanotechnologies, such as functional nanomaterials, nanoplatform-fabrication techniques, and surface nanoengineering, to biosensors has not only improved the performance of biosensors but has also expanded the range of sensing targets. Therefore, a deep understanding of the combination of nanotechnologies and biosensors is required to prepare for sanitary emergencies such as the recent COVID-19 pandemic. In this review, we provide interdisciplinary information on nanotechnology-assisted biosensors. First, representative nanotechnologies for biosensors are discussed, after which this review summarizes various nanotechnology-assisted viral nucleic acid biosensors. Therefore, we expect that this review will provide a valuable basis for the development of novel viral nucleic acid biosensors.
Collapse
Affiliation(s)
- Hye Kyu Choi
- Department of Chemistry and Chemical Biology, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
| | - Jinho Yoon
- Department of Biomedical-Chemical Engineering, The Catholic University of Korea, Bucheon-si 14662, Gyeonggi-do, Republic of Korea
| |
Collapse
|
11
|
Yang Y, Li H, Jones L, Murray J, Haverstick J, Naikare HK, Mosley YYC, Tripp RA, Ai B, Zhao Y. Rapid Detection of SARS-CoV-2 RNA in Human Nasopharyngeal Specimens Using Surface-Enhanced Raman Spectroscopy and Deep Learning Algorithms. ACS Sens 2023; 8:297-307. [PMID: 36563081 PMCID: PMC9797020 DOI: 10.1021/acssensors.2c02194] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2022] [Accepted: 12/14/2022] [Indexed: 12/24/2022]
Abstract
A rapid and cost-effective method to detect the infection of SARS-CoV-2 is fundamental to mitigating the current COVID-19 pandemic. Herein, a surface-enhanced Raman spectroscopy (SERS) sensor with a deep learning algorithm has been developed for the rapid detection of SARS-CoV-2 RNA in human nasopharyngeal swab (HNS) specimens. The SERS sensor was prepared using a silver nanorod array (AgNR) substrate by assembling DNA probes to capture SARS-CoV-2 RNA. The SERS spectra of HNS specimens were collected after RNA hybridization, and the corresponding SERS peaks were identified. The RNA detection range was determined to be 103-109 copies/mL in saline sodium citrate buffer. A recurrent neural network (RNN)-based deep learning model was developed to classify 40 positive and 120 negative specimens with an overall accuracy of 98.9%. For the blind test of 72 specimens, the RNN model gave a 97.2% accuracy prediction for positive specimens and a 100% accuracy for negative specimens. All the detections were performed in 25 min. These results suggest that the DNA-functionalized AgNR array SERS sensor combined with a deep learning algorithm could serve as a potential rapid point-of-care COVID-19 diagnostic platform.
Collapse
Affiliation(s)
- Yanjun Yang
- School of Electrical and Computer Engineering, College
of Engineering, The University of Georgia, Athens,
Georgia30602, United States
| | - Hao Li
- School of Microelectronics and Communication
Engineering, Chongqing Key Laboratory of Bio-perception & Intelligent Information
Processing, Chongqing University, Chongqing400044, P.
R. China
| | - Les Jones
- Department of Infectious Diseases, College of Veterinary
Medicine, The University of Georgia, Athens, Georgia30602,
United States
| | - Jackelyn Murray
- Department of Infectious Diseases, College of Veterinary
Medicine, The University of Georgia, Athens, Georgia30602,
United States
| | - James Haverstick
- Department of Physics and Astronomy, The
University of Georgia, Athens, Georgia30602, United
States
| | - Hemant K. Naikare
- Department of Infectious Diseases, College of Veterinary
Medicine, The University of Georgia, Athens, Georgia30602,
United States
- Tifton Veterinary Diagnostic and Investigational
Laboratory, The University of Georgia, Athens, Georgia30602,
United States
| | - Yung-Yi C. Mosley
- Department of Infectious Diseases, College of Veterinary
Medicine, The University of Georgia, Athens, Georgia30602,
United States
- Tifton Veterinary Diagnostic and Investigational
Laboratory, The University of Georgia, Athens, Georgia30602,
United States
| | - Ralph A. Tripp
- Department of Infectious Diseases, College of Veterinary
Medicine, The University of Georgia, Athens, Georgia30602,
United States
| | - Bin Ai
- School of Microelectronics and Communication
Engineering, Chongqing Key Laboratory of Bio-perception & Intelligent Information
Processing, Chongqing University, Chongqing400044, P.
R. China
| | - Yiping Zhao
- Department of Physics and Astronomy, The
University of Georgia, Athens, Georgia30602, United
States
| |
Collapse
|
12
|
Pramanik A, Mayer J, Sinha SS, Sharma PC, Patibandla S, Gao Y, Corby LR, Bates JT, Bierdeman MA, Tandon R, Seshadri R, Ray PC. Human ACE2 Peptide-Attached Plasmonic-Magnetic Heterostructure for Magnetic Separation, Surface Enhanced Raman Spectroscopy Identification, and Inhibition of Different Variants of SARS-CoV-2 Infections. ACS APPLIED BIO MATERIALS 2022; 5:4454-4464. [PMID: 36053723 DOI: 10.1021/acsabm.2c00573] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
The emergence of Alpha, Beta, Gamma, Delta, and Omicron variants of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is responsible for several million deaths up to now. Because of the huge amount of vaccine escape mutations in the spike (S) protein for different variants, the design of material for combating SARS-CoV-2 is very important for our society. Herein, we report on the design of a human angiotensin converting enzyme 2 (ACE2) peptide-conjugated plasmonic-magnetic heterostructure, which has the capability for magnetic separation, identification via surface enhanced Raman spectroscopy (SERS), and inhibition of different variant SARS-CoV-2 infections. In this work, plasmonic-magnetic heterostructures were developed using the initial synthesis of polyethylenimine (PEI)-coated Fe3O4-based magnetic nanoparticles, and then gold nanoparticles (GNPs) were grown onto the surface of the magnetic nanoparticles. Experimental binding data between ACE2-conjugated plasmonic-magnetic heterostructures and spike-receptor-binding domain (RBD) show that the Omicron variant has maximum binding ability, and it follows Alpha < Beta < Gamma < Delta < Omicron. Our finding shows that, due to the high magnetic moment (specific magnetization 40 emu/g), bioconjugated heterostructures are capable of effective magnetic separation of pseudotyped SARS-CoV-2 bearing the Delta variant spike from an infected artificial nasal mucus fluid sample using a simple bar magnet. Experimental data show that due to the formation of huge "hot spots" in the presence of SARS-CoV-2, Raman intensity for the 4-aminothiolphenol (4-ATP) Raman reporter was enhanced sharply, which has been used for the identification of separated virus. Theoretical calculations using finite-difference time-domain (FDTD) simulation indicate that, due to the "hot spots" formation, a six orders of magnitude Raman enhancement can be observed. A concentration-dependent inhibition efficiency investigation using a HEK293T-human cell line indicates that ACE2 peptide-conjugated plasmonic-magnetic heterostructures have the capability of complete inhibition of entry of different variants and original SARS-CoV-2 pseudovirions into host cells.
Collapse
Affiliation(s)
- Avijit Pramanik
- Department of Chemistry and Biochemistry, Jackson State University, Jackson, Mississippi 39217, United States
| | - Justin Mayer
- Materials Department, University of California, Santa Barbara, California 93106-5121, United States
| | - Sudarson Sekhar Sinha
- Department of Chemistry and Biochemistry, Jackson State University, Jackson, Mississippi 39217, United States
| | - Poonam C Sharma
- Department of Microbiology and Immunology, University of Mississippi Medical Center, Jackson, Mississippi 39216, United States
| | - Shamily Patibandla
- Department of Chemistry and Biochemistry, Jackson State University, Jackson, Mississippi 39217, United States
| | - Ye Gao
- Department of Chemistry and Biochemistry, Jackson State University, Jackson, Mississippi 39217, United States
| | - Lauren R Corby
- Department of Chemistry and Biochemistry, Jackson State University, Jackson, Mississippi 39217, United States
| | - John T Bates
- Department of Microbiology and Immunology, University of Mississippi Medical Center, Jackson, Mississippi 39216, United States
| | - Michael A Bierdeman
- Department of Microbiology and Immunology, University of Mississippi Medical Center, Jackson, Mississippi 39216, United States
| | - Ritesh Tandon
- Department of Microbiology and Immunology, University of Mississippi Medical Center, Jackson, Mississippi 39216, United States
| | - Ram Seshadri
- Materials Department, University of California, Santa Barbara, California 93106-5121, United States
| | - Paresh Chandra Ray
- Department of Chemistry and Biochemistry, Jackson State University, Jackson, Mississippi 39217, United States
| |
Collapse
|
13
|
Mao G, Yang Y, Cao S, Ye S, Li Y, Zhao W, An H, Liu Y, Dai J, Ma Y. Ratiometric fluorescence immunoassay of SARS-CoV-2 nucleocapsid protein via Si-FITC nanoprobe-based inner filter effect. NANO RESEARCH 2022; 16:5383-5390. [PMID: 35992363 PMCID: PMC9382001 DOI: 10.1007/s12274-022-4740-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Revised: 07/01/2022] [Accepted: 07/03/2022] [Indexed: 05/25/2023]
Abstract
The global pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus has necessitated rapid, easy-to-use, and accurate diagnostic methods to monitor the virus infection. Herein, a ratiometric fluorescence enzyme-linked immunosorbent assay (ELISA) was developed using Si-fluorescein isothiocyanate nanoparticles (FITC NPs) for detecting SARS-CoV-2 nucleocapsid (N) protein. Si-FITC NPs were prepared by a one-pot hydrothermal method using 3-aminopropyl triethoxysilane (APTES)-FITC as the Si source. This method did not need post-modification and avoided the reduction in quantum yield and stability. The p-nitrophenyl (pNP) produced by the alkaline phosphatase (ALP)-mediated hydrolysis of p-nitrophenyl phosphate (pNPP) could quench Si fluorescence in Si-FITC NPs via the inner filter effect. In ELISA, an immunocomplex was formed by the recognition of capture antibody/N protein/reporter antibody. ALP-linked secondary antibody bound to the reporter antibody and induced pNPP hydrolysis to specifically quench Si fluorescence in Si-FITC NPs. The change in fluorescence intensity ratio could be used for detecting N protein, with a wide linearity range (0.01-10.0 and 50-300 ng/mL) and low detection limit (0.002 ng/mL). The concentration of spiked SARS-CoV-2 N protein could be determined accurately in human serum. Moreover, this proposed method can accurately distinguish coronavirus disease 2019 (COVID-19) and non-COVID-19 patient samples. Therefore, this simple, sensitive, and accurate method can be applied for the early diagnosis of SARS-CoV-2 virus infection. Electronic Supplementary Material Supplementary material (characterization of Si-FITC NPs (FTIR spectrum, XRD spectra, and synchronous fluorescence spectra); condition optimization of ALP response (fluorescence intensity ratio change); mechanism investigation of ALP response (fluorescence lifetime decay curves and UV-vis absorption spectra); detection of N protein using commercial ELISA Kit; analytical performance of assays for ALP detection or SARS-CoV-2 N protein detection; and determination results of SARS-CoV-2 N protein in human serum) is available in the online version of this article at 10.1007/s12274-022-4740-5.
Collapse
Affiliation(s)
- Guobin Mao
- CAS Key Laboratory of Quantitative Engineering Biology, Guangdong Provincial Key Laboratory of Synthetic Genomics and Shenzhen Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055 China
| | - Yang Yang
- Shenzhen Key Laboratory of Pathogen and Immunity, National Clinical Research Center for infectious disease, State Key Discipline of Infectious Disease, Shenzhen Third People’s Hospital, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen, 518112 China
| | - Shijie Cao
- CAS Key Laboratory of Quantitative Engineering Biology, Guangdong Provincial Key Laboratory of Synthetic Genomics and Shenzhen Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055 China
- Guangxi University of Chinese Medicine, Nanning, 530001 China
| | - Silu Ye
- CAS Key Laboratory of Quantitative Engineering Biology, Guangdong Provincial Key Laboratory of Synthetic Genomics and Shenzhen Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055 China
| | - Yifang Li
- CAS Key Laboratory of Quantitative Engineering Biology, Guangdong Provincial Key Laboratory of Synthetic Genomics and Shenzhen Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055 China
| | - Wei Zhao
- CAS Key Laboratory of Quantitative Engineering Biology, Guangdong Provincial Key Laboratory of Synthetic Genomics and Shenzhen Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055 China
| | - Hongwei An
- Guangxi University of Chinese Medicine, Nanning, 530001 China
| | - Yingxia Liu
- Shenzhen Key Laboratory of Pathogen and Immunity, National Clinical Research Center for infectious disease, State Key Discipline of Infectious Disease, Shenzhen Third People’s Hospital, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen, 518112 China
| | - Junbiao Dai
- CAS Key Laboratory of Quantitative Engineering Biology, Guangdong Provincial Key Laboratory of Synthetic Genomics and Shenzhen Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055 China
| | - Yingxin Ma
- CAS Key Laboratory of Quantitative Engineering Biology, Guangdong Provincial Key Laboratory of Synthetic Genomics and Shenzhen Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055 China
| |
Collapse
|