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Parihar A, Vishwakarma P, Khan R. Miniaturized MXene-based electrochemical biosensors for virus detection. Bioelectrochemistry 2024; 158:108700. [PMID: 38582009 DOI: 10.1016/j.bioelechem.2024.108700] [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: 04/04/2023] [Revised: 03/29/2024] [Accepted: 03/31/2024] [Indexed: 04/08/2024]
Abstract
The timely control of infectious diseases can prevent the spread of infections and mitigate the significant socio-economic damage witnessed during recent pandemics. Diagnostic methods play a significant role in detecting highly contagious agents, such as viruses, to prevent further transmission. The emergence of advanced point-of-care techniques offers several advantages over conventional approaches for detecting infectious agents. These techniques are highly sensitive, rapid, can be miniaturized, and are cost-effective. Recently, MXene-based 2D nanocomposites have proven beneficial for fabricating electrochemical biosensors due to their suitable electrical, optical, and mechanical properties. This article covers electrochemical biosensors based on MXene nanocomposite for the detection of viruses, along with the associated challenges and future possibilities. Additionally, we highlight various conventional techniques for the detection of infectious agents, discussing their pros and cons. We delve into the challenges faced during the fabrication of MXene-based biosensors and explore future endeavors. It is anticipated that the information presented in this work will pave the way for the development of Point-of-Care (POC) devices capable of sensitive and selective virus detection, enhancing preparedness for ongoing and future pandemics.
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Affiliation(s)
- Arpana Parihar
- Industrial Waste Utilization, Nano and Biomaterials, CSIR-Advanced Materials and Processes Research Institute (AMPRI), Hoshangabad Road, Bhopal- 462026, MP, India
| | - Preeti Vishwakarma
- Department of Microbiology, Barkatullah University, Hoshangabad Road, Bhopal- 462026, MP, India
| | - Raju Khan
- Industrial Waste Utilization, Nano and Biomaterials, CSIR-Advanced Materials and Processes Research Institute (AMPRI), Hoshangabad Road, Bhopal- 462026, MP, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad- 201002, India.
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2
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Guruprasath N, Sankarganesh P, Adeyeye SAO, Babu AS, Parthasarathy V. Review on emerging applications of nanobiosensor in food safety. J Food Sci 2024; 89:3950-3972. [PMID: 38847752 DOI: 10.1111/1750-3841.17149] [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: 04/27/2024] [Accepted: 05/14/2024] [Indexed: 07/04/2024]
Abstract
Nanosensors have become an indispensable tool in the food sector due to their specificity and sensitivity. The biosensor consists of a transducer coupled with a biorecognition component to transform biological signal into digital signal. Nanobiosensors have been widely used for sensing toxic chemicals such as pesticide residues and pathogenic microbes owing to their accurate sensitivity in an affordable manner, which gives more hope to the food industry on their applications. It employs nanocarriers to bind to impurities and pollutants, as well as food-borne microorganisms and their resulting toxins, such as mycotoxins. This modern technology ensures food safety in food processing industries. Nowadays, nanoparticle-immobilized sensors act as spot indicators to improve smart food packing technology. Certain types of nanobiosensors are deployed to monitor food product manufacture till packaging and to check the freshness of the product till spoilage identification. They are mainly using enzyme catalysts, which are highly sensitive to extreme environmental conditions. As a result, there is a greater evaluation requirement in nanosensor technology to adopt any temperature, pH, or other difficult parameters. Its stability, while in contact with food substrates, is another criterion that needs to be regularized. Within this framework, this review delves into the latest developments in nanobiosensors and the obstacles encountered during their use across different food industries.
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Affiliation(s)
- N Guruprasath
- Department of Food Technology, Hindustan Institute of Technology and Science, Chennai, Tamil Nadu, India
| | - P Sankarganesh
- Department of Food Technology, Hindustan Institute of Technology and Science, Chennai, Tamil Nadu, India
| | - S A O Adeyeye
- Department of Food Technology, Hindustan Institute of Technology and Science, Chennai, Tamil Nadu, India
| | - A Surendra Babu
- Department of Food Science and Technology, School of Agricultural Sciences, Malla Reddy University, Hyderabad, India
| | - V Parthasarathy
- Department of Physics, Rajalakshmi Institute of Technology, Chennai, India
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3
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Nisar S, Dastgeer G, Shazad ZM, Zulfiqar MW, Rasheed A, Iqbal MZ, Hussain K, Rabani I, Kim DK, Irfan A, Chaudhry AR. 2D Materials in Advanced Electronic Biosensors for Point-of-Care Devices. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024:e2401386. [PMID: 38894575 DOI: 10.1002/advs.202401386] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Revised: 05/18/2024] [Indexed: 06/21/2024]
Abstract
Since two-dimensionalal (2D) materials have distinct chemical and physical properties, they are widely used in various sectors of modern technologies. In the domain of diagnostic biodevices, particularly for point-of-care (PoC) biomedical diagnostics, 2D-based field-effect transistor biosensors (bio-FETs) demonstrate substantial potential. Here, in this review article, the operational mechanisms and detection capabilities of biosensing devices utilizing graphene, transition metal dichalcogenides (TMDCs), black phosphorus, and other 2D materials are addressed in detail. The incorporation of these materials into FET-based biosensors offers significant advantages, including low detection limits (LOD), real-time monitoring, label-free diagnosis, and exceptional selectivity. The review also highlights the diverse applications of these biosensors, ranging from conventional to wearable devices, underscoring the versatility of 2D material-based FET devices. Additionally, the review provides a comprehensive assessment of the limitations and challenges faced by these devices, along with insights into future prospects and advancements. Notably, a detailed comparison of FET-based biosensors is tabulated along with various other biosensing platforms and their working mechanisms. Ultimately, this review aims to stimulate further research and innovation in this field while educating the scientific community about the latest advancements in 2D materials-based biosensors.
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Affiliation(s)
- Sobia Nisar
- Department of Electrical Engineering, Sejong University, Seoul, 05006, Republic of Korea
- Department of Convergence Engineering for Intelligent Drone, Sejong University, Seoul, 05006, Republic of Korea
| | - Ghulam Dastgeer
- Department of Physics & Astronomy, Sejong University, Seoul, 05006, Republic of Korea
| | - Zafar Muhammad Shazad
- SKKU Advanced Institute of Nanotechnology (SAINT), Sungkyunkwan University, Suwon, 16419, Republic of Korea
- Department of Chemical Polymer and Composite Engineering, University of Engineering & Technology, Faisalabad Campus, Lahore, 38000, Pakistan
| | - Muhammad Wajid Zulfiqar
- Department of Electrical Engineering, Sejong University, Seoul, 05006, Republic of Korea
- Department of Semiconductor Engineering, Sejong University, Seoul, 05006, Republic of Korea
| | - Amir Rasheed
- School of Materials Science and Engineering, Anhui University, Hefei, Anhui, 230601, China
| | - Muhammad Zahir Iqbal
- Renewable Energy Research Laboratory, Faculty of Engineering Sciences, Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Topi, Khyber Pakhtunkhwa, 23640, Pakistan
| | - Kashif Hussain
- THz Technical Research Center; Shenzhen Key Laboratory of Micro-Nano Photonic Information Technology; Key Laboratory of Optoelectronic Devices and Systems, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen, Guangdong Province, 518060, China
- School of Materials Science and Engineering, CAPT, Peking University, Beijing, 100871, China
| | - Iqra Rabani
- Department of Nanotechnology and Advanced Materials Engineering, Sejong University, Seoul, 05006, Republic of Korea
| | - Deok-Kee Kim
- Department of Electrical Engineering, Sejong University, Seoul, 05006, Republic of Korea
- Department of Convergence Engineering for Intelligent Drone, Sejong University, Seoul, 05006, Republic of Korea
- Department of Semiconductor Engineering, Sejong University, Seoul, 05006, Republic of Korea
| | - Ahmad Irfan
- Department of Chemistry, College of Science, King Khalid University, P. O. Box 9004, Abha, 61413, Saudi Arabia
| | - Aijaz Rasool Chaudhry
- Department of Physics, College of Science, University of Bisha, P.O. Box 551, Bisha, 61922, Saudi Arabia
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4
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Liu Z, Huang S, Yan Y, Pang W, Zhong F, Huang Q, Caddeo F, Zhang M, Jin M, Shui L. Multiplex signal amplification for ultrasensitive CRP assay via integrated electrochemical biosensor array using MOF-derived carbon material and aptamers. Talanta 2024; 272:125735. [PMID: 38364556 DOI: 10.1016/j.talanta.2024.125735] [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: 12/06/2023] [Revised: 01/16/2024] [Accepted: 01/29/2024] [Indexed: 02/18/2024]
Abstract
Accurate and precise detection of disease-associated proteins, such as C-reactive protein (CRP), remains a challenge in biosensor development. Herein, we present a novel approach-an integrated disposable aptasensor array-designed for precise, ultra-sensitive, and parallel detection of CRP in plasma samples. This integrated biosensing array platform enables multiplex parallel testing, ensuring the accuracy and reliability in sample analysis. The ultra-sensitivity of this biosensor is achieved through multiplex signal amplification. Leveraging the superior conductivity and extensive surface area of MOF-derived nanoporous carbon material (CMOF), the biosensor enhances recognition elements (aptamers) by catalyzing the horseradish peroxidase (HRP) label enzyme reaction to multiply the number of probe molecules. Optimized conditions yielded exceptional performance, exhibiting high accuracy (relative standard deviation, RSD≤10.0 %), a low detection limit (0.3 pg/mL, S/N = 3), ultra-sensitivity (0.16 μA/ng mL-1 mm-2), and a rapid response (seven parallel tests within 60 min). Importantly, this multi-unit integrated disposable aptasensor array accurately quantified CRP in human serum, demonstrating comparable results to commercial enzyme-linked immunosorbent assay (ELISA). This technology showcases promise for detecting various biomarkers using a unified approach, presenting an appealing strategy for early disease diagnosis and biological analysis.
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Affiliation(s)
- Zhenping Liu
- Joint Laboratory of Optofluidic Technology and System, National Center for International Research on Green Optoelectronics, South China Academy of Advanced Optoelectronics, South China Normal University, Guangzhou, 510006, PR China; University of Hamburg, Institute for Nanostructure and Solid-State Physics, Center for Hybrid Nanostructures, Hamburg, Germany.
| | - Shuqing Huang
- Joint Laboratory of Optofluidic Technology and System, National Center for International Research on Green Optoelectronics, South China Academy of Advanced Optoelectronics, South China Normal University, Guangzhou, 510006, PR China
| | - Yu Yan
- Joint Laboratory of Optofluidic Technology and System, National Center for International Research on Green Optoelectronics, South China Academy of Advanced Optoelectronics, South China Normal University, Guangzhou, 510006, PR China
| | - Wenbin Pang
- Joint Laboratory of Optofluidic Technology and System, National Center for International Research on Green Optoelectronics, South China Academy of Advanced Optoelectronics, South China Normal University, Guangzhou, 510006, PR China
| | - Fenqing Zhong
- Joint Laboratory of Optofluidic Technology and System, National Center for International Research on Green Optoelectronics, South China Academy of Advanced Optoelectronics, South China Normal University, Guangzhou, 510006, PR China
| | - Qiuju Huang
- Guangxi Key Laboratory of Bioactive Molecules Research and Evaluation, College of Pharmacy, Guangxi Medical University, Nanning, 530021, PR China.
| | - Francesco Caddeo
- University of Hamburg, Institute for Nanostructure and Solid-State Physics, Center for Hybrid Nanostructures, Hamburg, Germany
| | - Minmin Zhang
- Guangdong Provincial Key Laboratory of Nanophotonic Functional Materials and Devices, School of Information and Optoelectronic Science and Engineering, South China Normal University, Guangzhou, 510006, PR China
| | - Mingliang Jin
- Joint Laboratory of Optofluidic Technology and System, National Center for International Research on Green Optoelectronics, South China Academy of Advanced Optoelectronics, South China Normal University, Guangzhou, 510006, PR China; International Academy of Optoelectronics at Zhaoqing, South China Normal University, Zhaoqing, 526238, PR China.
| | - Lingling Shui
- Joint Laboratory of Optofluidic Technology and System, National Center for International Research on Green Optoelectronics, South China Academy of Advanced Optoelectronics, South China Normal University, Guangzhou, 510006, PR China; Guangdong Provincial Key Laboratory of Nanophotonic Functional Materials and Devices, School of Information and Optoelectronic Science and Engineering, South China Normal University, Guangzhou, 510006, PR China
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5
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Liu B, Cheng Y, Pan X, Yang W, Li X, Wang L, Ye H, Pan T. Multicolor-Assay-on-a-Chip Processed by Robotic Operation (MACpro) with Improved Diagnostic Accuracy for Field-Deployable Detection. Anal Chem 2024; 96:6634-6642. [PMID: 38622069 DOI: 10.1021/acs.analchem.3c05918] [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: 04/17/2024]
Abstract
The ability to deploy decentralized laboratories with autonomous and reliable disease diagnosis holds the potential to deliver accessible healthcare services for public safety. While microfluidic technologies provide precise manipulation of small fluid volumes with improved assay performance, their limited automation and versatility confine them to laboratories. Herein, we report the utility of multicolor assay-on-a-chip processed by robotic operation (MACpro), to address this unmet need. The MACpro platform comprises a robot-microfluidic interface and an eye-in-hand module that provides flexible yet stable actions to execute tasks in a programmable manner, such as the precise manipulation of the microfluidic chip along with different paths. Notably, MACpro shows improved detection performance by integrating the microbead-based antibody immobilization with enhanced target recognition and multicolor sensing via Cu2+-catalyzed plasmonic etching of gold nanorods for rapid and sensitive analyte quantification. Using interferon-gamma as an example, we demonstrate that MACpro completes a sample-to-answer immunoassay within 30 min and achieves a 10-fold broader dynamic range and a 10-fold lower detection limit compared to standard enzyme-linked immunosorbent assays (0.66 vs 5.2 pg/mL). MACpro extends the applications beyond traditional laboratories and presents an automated solution to expand diagnostic capacity in diverse settings.
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Affiliation(s)
- Binyao Liu
- School of Biomedical Engineering, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230026, P.R. China
- Center for Intelligent Medical Equipment and Devices, Institute for Innovative Medical Devices, Suzhou Institute for Advanced Research, University of Science and Technology of China, Suzhou, Jiangsu 215123, P.R. China
| | - Yixin Cheng
- School of Biomedical Engineering, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230026, P.R. China
- Center for Intelligent Medical Equipment and Devices, Institute for Innovative Medical Devices, Suzhou Institute for Advanced Research, University of Science and Technology of China, Suzhou, Jiangsu 215123, P.R. China
| | - Xiang Pan
- Center for Intelligent Medical Equipment and Devices, Institute for Innovative Medical Devices, Suzhou Institute for Advanced Research, University of Science and Technology of China, Suzhou, Jiangsu 215123, P.R. China
- Nano Science and Technology Institute, Suzhou Institute for Advanced Research, University of Science and Technology of China, Suzhou, Jiangsu 215123, P.R. China
| | - Wen Yang
- School of Biomedical Engineering, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230026, P.R. China
- Center for Intelligent Medical Equipment and Devices, Institute for Innovative Medical Devices, Suzhou Institute for Advanced Research, University of Science and Technology of China, Suzhou, Jiangsu 215123, P.R. China
| | - Xiangpeng Li
- College of Mechanical and Electrical Engineering, Soochow University, Suzhou, Jiangsu 215123, P.R. China
| | - Lele Wang
- Shenzhen Shaanxi Coal Hi-tech Research Institute Co., Ltd, Shenzhen 518107, P.R. China
| | - Haihang Ye
- School of Biomedical Engineering, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230026, P.R. China
- Center for Intelligent Medical Equipment and Devices, Institute for Innovative Medical Devices, Suzhou Institute for Advanced Research, University of Science and Technology of China, Suzhou, Jiangsu 215123, P.R. China
- Key Laboratory of Precision and Intelligent Chemistry, University of Science and Technology of China, Hefei, Anhui 230026, P.R. China
| | - Tingrui Pan
- School of Biomedical Engineering, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230026, P.R. China
- Center for Intelligent Medical Equipment and Devices, Institute for Innovative Medical Devices, Suzhou Institute for Advanced Research, University of Science and Technology of China, Suzhou, Jiangsu 215123, P.R. China
- Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, Anhui 230026, P.R. China
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Zhang D, Wang Y, Wang J, Fan X, Zhang S, Liu M, Ma L. Rethinking the relationships between gel like structure and sludge dewaterability based on a binary gel like structure model: Implications for the online sensing of dewaterability. WATER RESEARCH 2024; 249:120971. [PMID: 38101042 DOI: 10.1016/j.watres.2023.120971] [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: 05/12/2023] [Revised: 09/26/2023] [Accepted: 12/02/2023] [Indexed: 12/17/2023]
Abstract
The digital transformation of sludge treatment processes requires online sensing of dewaterability. This topic has been attempted for many years based on macroscopic shear rheology. However, the relationship between rheological behavior and dewaterability remains noncommittal, and the reason is unclear. Herein, a binary gel-like structure model was proposed including the interactions network at the supra-flocs level and the gel-like structure at the flocs level. Multiple advanced techniques including optical tweezers were employed to precisely understand the binary gel-like structure and to classify the correlation mechanism between this gel-like structure, rheological behavior, and dewaterability. The analysis of sludge from eight wastewater treatment plants showed the binary gel-like structures at both supra-flocs and flocs levels have significant relationships with sludge dewaterability (p < 0.05). Further deconstruction of the sludge viscoelastic behavior illustrated that the gel-like structure at the supra-flocs level dominates the rheological behavior of sludge. Moreover, the direct description of the binary gel-like structure in four typical sludge treatment processes highlighted the importance of the flocs level's structure in determining the dewaterability. Overall, this study revealed that shear rheology may prefer to stress the interactions network at the supra-flocs level but mask the flocs level's structure, although the latter is important. This observation may provide a general guideline for the design of robust sensors for dewaterability.
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Affiliation(s)
- Daxin Zhang
- Beijing Key Lab for Source Control Technology of Water Pollution, College of Environmental Science and Engineering, Beijing Forestry University, Beijing 100083, China; Engineering Research Center for Water Pollution Source Control & Eco-remediation, College of Environmental Science and Engineering, Beijing Forestry University, Beijing 100083, China; School of Soil & Water Conservation, Beijing Forestry University, Beijing 100083, China
| | - Yili Wang
- Beijing Key Lab for Source Control Technology of Water Pollution, College of Environmental Science and Engineering, Beijing Forestry University, Beijing 100083, China; Engineering Research Center for Water Pollution Source Control & Eco-remediation, College of Environmental Science and Engineering, Beijing Forestry University, Beijing 100083, China.
| | - Jingjing Wang
- Cell Biology Facility, Center of Biomedical Analysis, Tsinghua University, Beijing 100084, China
| | - Xiaoyang Fan
- Beijing Key Lab for Source Control Technology of Water Pollution, College of Environmental Science and Engineering, Beijing Forestry University, Beijing 100083, China; Engineering Research Center for Water Pollution Source Control & Eco-remediation, College of Environmental Science and Engineering, Beijing Forestry University, Beijing 100083, China
| | - Shuting Zhang
- Beijing Key Lab for Source Control Technology of Water Pollution, College of Environmental Science and Engineering, Beijing Forestry University, Beijing 100083, China; Engineering Research Center for Water Pollution Source Control & Eco-remediation, College of Environmental Science and Engineering, Beijing Forestry University, Beijing 100083, China
| | - Meilin Liu
- Beijing Key Lab for Source Control Technology of Water Pollution, College of Environmental Science and Engineering, Beijing Forestry University, Beijing 100083, China; Engineering Research Center for Water Pollution Source Control & Eco-remediation, College of Environmental Science and Engineering, Beijing Forestry University, Beijing 100083, China
| | - Luyao Ma
- Beijing Key Lab for Source Control Technology of Water Pollution, College of Environmental Science and Engineering, Beijing Forestry University, Beijing 100083, China; Engineering Research Center for Water Pollution Source Control & Eco-remediation, College of Environmental Science and Engineering, Beijing Forestry University, Beijing 100083, China
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7
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de Araujo WR, Lukas H, Torres MDT, Gao W, de la Fuente-Nunez C. Low-Cost Biosensor Technologies for Rapid Detection of COVID-19 and Future Pandemics. ACS NANO 2024; 18:1757-1777. [PMID: 38189684 DOI: 10.1021/acsnano.3c01629] [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] [Indexed: 01/09/2024]
Abstract
Many systems have been designed for the detection of SARS-CoV-2, which is the virus that causes COVID-19. SARS-CoV-2 is readily transmitted, resulting in the rapid spread of disease in human populations. Frequent testing at the point of care (POC) is a key aspect for controlling outbreaks caused by SARS-CoV-2 and other emerging pathogens, as the early identification of infected individuals can then be followed by appropriate measures of isolation or treatment, maximizing the chances of recovery and preventing infectious spread. Diagnostic tools used for high-frequency testing should be inexpensive, provide a rapid diagnostic response without sophisticated equipment, and be amenable to manufacturing on a large scale. The application of these devices should enable large-scale data collection, help control viral transmission, and prevent disease propagation. Here we review functional nanomaterial-based optical and electrochemical biosensors for accessible POC testing for COVID-19. These biosensors incorporate nanomaterials coupled with paper-based analytical devices and other inexpensive substrates, traditional lateral flow technology (antigen and antibody immunoassays), and innovative biosensing methods. We critically discuss the advantages and disadvantages of nanobiosensor-based approaches compared to widely used technologies such as PCR, ELISA, and LAMP. Moreover, we delineate the main technological, (bio)chemical, translational, and regulatory challenges associated with developing functional and reliable biosensors, which have prevented their translation into the clinic. Finally, we highlight how nanobiosensors, given their unique advantages over existing diagnostic tests, may help in future pandemics.
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Affiliation(s)
- William Reis de Araujo
- Portable Chemical Sensors Lab, Department of Analytical Chemistry, Institute of Chemistry, State University of Campinas - UNICAMP, Campinas, SP 13083-970, Brazil
| | - Heather Lukas
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, California 91125, United States
| | - Marcelo D T Torres
- Machine Biology Group, Departments of Psychiatry and Microbiology, Institute for Biomedical Informatics, Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States
- Departments of Bioengineering and Chemical and Biomolecular Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States
- Penn Institute for Computational Science, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States
| | - Wei Gao
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, California 91125, United States
| | - Cesar de la Fuente-Nunez
- Machine Biology Group, Departments of Psychiatry and Microbiology, Institute for Biomedical Informatics, Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States
- Departments of Bioengineering and Chemical and Biomolecular Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States
- Penn Institute for Computational Science, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States
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8
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Kumar S, Singh H, Feder-Kubis J, Nguyen DD. Recent advances in nanobiosensors for sustainable healthcare applications: A systematic literature review. ENVIRONMENTAL RESEARCH 2023; 238:117177. [PMID: 37751831 DOI: 10.1016/j.envres.2023.117177] [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: 03/30/2023] [Revised: 09/15/2023] [Accepted: 09/17/2023] [Indexed: 09/28/2023]
Abstract
The need for novel healthcare treatments and drugs has increased due to the expanding human population, detection of newer diseases, and looming pandemics. The development of nanotechnology offers a platform for cutting-edge in vivo non-invasive monitoring and point-of-care-testing (POCT) for rehabilitative disease detection and management. The advancement and uses of nanobiosensors are currently becoming more common in a variety of scientific fields, such as environmental monitoring, food safety, biomedical, clinical, and sustainable healthcare sciences, since the advent of nanotechnology. The identification and detection of biological patterns connected to any type of disease (communicable or not) have been made possible in recent years by several sensing techniques utilizing nanotechnology concerning biosensors and nanobiosensors. In this work, 2218 articles are drawn and screened from six digital databases out of which 17 were shortlisted for this review by using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) technique. As a result, this study uses a systematic methodology to review some recently developed extremely sensitive nanobiosensors, along with their biomedical, point-of-care diagnostics (POCD), or healthcare applications and their capabilities, particularly for the prediction of some fatal diseases based on a few of the most recent publications. The potential of nanobiosensors for medicinal, therapeutic, or other sustainable healthcare applications, notably for ailments diagnostics, is also recognized as a way forward in the manifestation of future trends.
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Affiliation(s)
- Sunil Kumar
- Department of Electronics and Communication Engineering, Chandigarh University, Mohali, Punjab, India
| | - Harbinder Singh
- Department of Electronics and Communication Engineering, Chandigarh University, Mohali, Punjab, India.
| | - Joanna Feder-Kubis
- Faculty of Chemistry, Wrocław University of Science and Technology, Wybrzeże Wyspiańskiego 27, 50-370 Wrocław, Poland
| | - D Duc Nguyen
- Department of Civil & Energy System Engineering, Kyonggi University, Suwon 16227, South Korea
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9
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Silva DF, Melo ALP, Uchôa AFC, Pereira GMA, Alves AEF, Vasconcellos MC, Xavier-Júnior FH, Passos MF. Biomedical Approach of Nanotechnology and Biological Risks: A Mini-Review. Int J Mol Sci 2023; 24:16719. [PMID: 38069043 PMCID: PMC10706257 DOI: 10.3390/ijms242316719] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 11/10/2023] [Accepted: 11/20/2023] [Indexed: 12/18/2023] Open
Abstract
Nanotechnology has played a prominent role in biomedical engineering, offering innovative approaches to numerous treatments. Notable advances have been observed in the development of medical devices, contributing to the advancement of modern medicine. This article briefly discusses key applications of nanotechnology in tissue engineering, controlled drug release systems, biosensors and monitoring, and imaging and diagnosis. The particular emphasis on this theme will result in a better understanding, selection, and technical approach to nanomaterials for biomedical purposes, including biological risks, security, and biocompatibility criteria.
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Affiliation(s)
- Debora F. Silva
- Technological Development Group in Biopolymers and Biomaterials from the Amazon, Graduate Program in Materials Science and Engineering, Federal University of Para, Ananindeua 67130-660, Brazil;
| | - Ailime L. P. Melo
- Technological Development Group in Biopolymers and Biomaterials from the Amazon, Graduate Program in Biotechnology, Federal University of Para, Belem 66075-110, Brazil
| | - Ana F. C. Uchôa
- Pharmaceutical Biotechnology Laboratory (BioTecFarm), Department of Pharmaceutical Sciences, Federal University of Paraíba, João Pessoa 58051-900, Brazil; (A.F.C.U.); (F.H.X.-J.)
| | - Graziela M. A. Pereira
- Pharmaceutical Biotechnology Laboratory (BioTecFarm), Department of Pharmaceutical Sciences, Federal University of Paraíba, João Pessoa 58051-900, Brazil; (A.F.C.U.); (F.H.X.-J.)
| | - Alisson E. F. Alves
- Post-Graduate Program in Bioactive Natural and Synthetic Products, Federal University of Paraíba, João Pessoa 58051-900, Brazil;
| | | | - Francisco H. Xavier-Júnior
- Pharmaceutical Biotechnology Laboratory (BioTecFarm), Department of Pharmaceutical Sciences, Federal University of Paraíba, João Pessoa 58051-900, Brazil; (A.F.C.U.); (F.H.X.-J.)
- Post-Graduate Program in Bioactive Natural and Synthetic Products, Federal University of Paraíba, João Pessoa 58051-900, Brazil;
| | - Marcele F. Passos
- Technological Development Group in Biopolymers and Biomaterials from the Amazon, Graduate Program in Materials Science and Engineering, Federal University of Para, Ananindeua 67130-660, Brazil;
- Technological Development Group in Biopolymers and Biomaterials from the Amazon, Graduate Program in Biotechnology, Federal University of Para, Belem 66075-110, Brazil
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10
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Rakhimbekova A, Kudaibergenov B, Seitkamal K, Bellone A, Dauletova A, Sypabekova M, Olivero M, Perrone G, Radaelli A, Zanotto C, De Giuli Morghen C, Vangelista L, Tosi D. Rapid detection of vaccinia virus using biofunctionalized fiber-optic ball-tip biosensors. Sci Rep 2023; 13:17470. [PMID: 37838808 PMCID: PMC10576743 DOI: 10.1038/s41598-023-44926-6] [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: 07/27/2023] [Accepted: 10/13/2023] [Indexed: 10/16/2023] Open
Abstract
In this work, we present the development and biofunctionalization of a fiber-optic ball-resonator biosensor for the real-time detection of vaccinia poxvirus. We fabricated several ball-tip resonators, functionalized through a silanization process to immobilize two bioreceptors: the monoclonal anti-L1R antibody targeting the L1R protein, and the polyclonal rabbit serum antibodies targeting the whole vaccinia virus (VV) pathogen. Experimental measurements were carried out to detect VV in concentrations from 103 to 108 plaque-forming units (PFU), with a limit of detection of around 1.7-4.3 × 103 PFU and a log-quadratic pattern, with a response up to 5 × 10-4 RIU (refractive index units). The specificity was assessed against herpes simplex virus, used as a non-specific control, with the best results obtained with anti-L1R monoclonal antibodies, and through the detection of vaccinia virus/herpes simplex-1 combination. The obtained results provide a real-time viral recognition with a label-free sensing platform, having rapid response and ease of manufacturing, and paving the road to the seamless detection of poxviruses affecting different human and animal species using optical fibers.
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Affiliation(s)
- Aida Rakhimbekova
- Department of Electrical and Computer Engineering, School of Engineering and Digital Sciences, Nazarbayev University, 010000, Astana, Kazakhstan
| | - Baizak Kudaibergenov
- Department of Electrical and Computer Engineering, School of Engineering and Digital Sciences, Nazarbayev University, 010000, Astana, Kazakhstan
| | - Kuanysh Seitkamal
- Department of Biomedical Sciences, School of Medicine, Nazarbayev University, 010000, Astana, Kazakhstan
| | - Aurora Bellone
- Department of Electronics and Telecommunications, Politecnico Di Torino, Turin, Italy
| | - Ayazhan Dauletova
- Department of Electrical and Computer Engineering, School of Engineering and Digital Sciences, Nazarbayev University, 010000, Astana, Kazakhstan
| | - Marzhan Sypabekova
- Department of Electrical & Computer Engineering, Baylor University, Waco, TX, USA
| | - Massimo Olivero
- Department of Electronics and Telecommunications, Politecnico Di Torino, Turin, Italy
| | - Guido Perrone
- Department of Electronics and Telecommunications, Politecnico Di Torino, Turin, Italy
| | - Antonia Radaelli
- Department of Medical Biotechnologies and Translational Medicine, Laboratory of Molecular Virology and Recombinant Vaccine Development, University of Milan, Via Vanvitelli 32, Milan, Italy
- Catholic University "Our Lady of Good Counsel", Rr. Dritan Hoxha, Tirana, Albania
| | - Carlo Zanotto
- Department of Medical Biotechnologies and Translational Medicine, Laboratory of Molecular Virology and Recombinant Vaccine Development, University of Milan, Via Vanvitelli 32, Milan, Italy
| | | | - Luca Vangelista
- Department of Biomedical Sciences, School of Medicine, Nazarbayev University, 010000, Astana, Kazakhstan
- Department of Molecular Medicine, University of Pavia, 27100, Pavia, Italy
| | - Daniele Tosi
- Department of Electrical and Computer Engineering, School of Engineering and Digital Sciences, Nazarbayev University, 010000, Astana, Kazakhstan.
- Laboratory of Biosensors and Bioinstruments, National Laboratory Astana, 010000, Astana, Kazakhstan.
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11
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Zhao X, Guo Z, Zhou Y, Guo J, Liu Z, Luo M, Li Y, Wang Q, Zhang M, Yang X, Wang Y, Sun YL, Wu X. Highly sensitive, modification-free, and dynamic real-time stereo-optical immuno-sensor. Biosens Bioelectron 2023; 237:115477. [PMID: 37352760 DOI: 10.1016/j.bios.2023.115477] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Revised: 04/04/2023] [Accepted: 04/14/2023] [Indexed: 06/25/2023]
Abstract
Modification-free biosensing with high specificity and sensitivity is essential for miniaturized, online, integrated, and rapid, or even real-time molecular analyses. However, most optical biosensors are based on surface pre-modification or fluorescent labeling, and have either low sensitivity or low quality factor (Q). To address these difficulties, in this study, an optical sensor prototype was developed with a microbubble optofluidic channel integrated inside a Fabry-Pérot cavity to three-dimensionally tailor the intra-cavity light field via the intra-cavity lensing (microbubble) configuration. A high Q-factor (∼105), small mode volume, and high light energy density were experimentally achieved with this "stereo-sensor" while maintaining an ultrahigh refractive index (RI) sensitivity (679 nm/RIU) and ultra-small RI resolution (∼10-7 RIU at 950 nm). Moreover, specific detection of very low concentration of biomolecules (5 fg/mL for human IgG and 0.5 pg/mL for human serum albumin (HSA)) and wide range of protein concentrations (e.g., fg/mL-ng/mL for human IgG and pg/mL-ng/mL for HSA) without probe pre-modification were achieved owing to the RI change specifically associated with the probe-target binding and the corresponding bio-macromolecular conformation change. This modification-free stereosensing scenario is applicable to continuous, real-time, and multiplexed operations, thus showing potential for online, integrated, dynamic, biomolecular analyses in vitro or in vivo, such as the dynamic metabolic analysis of single cells or organoids and point-of-care tests.
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Affiliation(s)
- Xuyang Zhao
- The Key Laboratory of Micro and Nano Photonic Structures, Department of Optical Science and Engineering, Fudan University, Shanghai, 200438, China
| | - Zhihe Guo
- The Key Laboratory of Micro and Nano Photonic Structures, Department of Optical Science and Engineering, Fudan University, Shanghai, 200438, China
| | - Yi Zhou
- The Key Laboratory of Micro and Nano Photonic Structures, Department of Optical Science and Engineering, Fudan University, Shanghai, 200438, China
| | - Junhong Guo
- The Key Laboratory of Micro and Nano Photonic Structures, Department of Optical Science and Engineering, Fudan University, Shanghai, 200438, China
| | - Zhiran Liu
- The Key Laboratory of Micro and Nano Photonic Structures, Department of Optical Science and Engineering, Fudan University, Shanghai, 200438, China
| | - Man Luo
- The Key Laboratory of Micro and Nano Photonic Structures, Department of Optical Science and Engineering, Fudan University, Shanghai, 200438, China
| | - Yuxiang Li
- The Key Laboratory of Micro and Nano Photonic Structures, Department of Optical Science and Engineering, Fudan University, Shanghai, 200438, China
| | - Qi Wang
- The Key Laboratory of Micro and Nano Photonic Structures, Department of Optical Science and Engineering, Fudan University, Shanghai, 200438, China
| | - Meng Zhang
- Southwest Institute of Technical Physics, Chengdu, Sichuan, 610041, China
| | - Xi Yang
- Southwest Institute of Technical Physics, Chengdu, Sichuan, 610041, China
| | - You Wang
- Southwest Institute of Technical Physics, Chengdu, Sichuan, 610041, China
| | - Yun-Lu Sun
- The Key Laboratory of Micro and Nano Photonic Structures, Department of Optical Science and Engineering, Fudan University, Shanghai, 200438, China; Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Xiang Wu
- The Key Laboratory of Micro and Nano Photonic Structures, Department of Optical Science and Engineering, Fudan University, Shanghai, 200438, China.
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12
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Aguayo-Acosta A, Jiménez-Rodríguez MG, Silva-Lance F, Oyervides-Muñoz MA, Armenta-Castro A, de la Rosa O, Ovalle-Carcaño A, Melchor-Martínez EM, Aghalari Z, Parra-Saldívar R, Sosa-Hernández JE. Passive Sampler Technology for Viral Detection in Wastewater-Based Surveillance: Current State and Nanomaterial Opportunities. Viruses 2023; 15:1941. [PMID: 37766347 PMCID: PMC10537877 DOI: 10.3390/v15091941] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Revised: 09/11/2023] [Accepted: 09/14/2023] [Indexed: 09/29/2023] Open
Abstract
Although wastewater-based surveillance (WBS) is an efficient community-wide surveillance tool, its implementation for pathogen surveillance remains limited by ineffective sample treatment procedures, as the complex composition of wastewater often interferes with biomarker recovery. Moreover, current sampling protocols based on grab samples are susceptible to fluctuant biomarker concentrations and may increase operative costs, often rendering such systems inaccessible to communities in low-to-middle-income countries (LMICs). As a response, passive samplers have emerged as a way to make wastewater sampling more efficient and obtain more reliable, consistent data. Therefore, this study aims to review recent developments in passive sampling technologies to provide researchers with the tools to develop novel passive sampling strategies. Although promising advances in the development of nanostructured passive samplers have been reported, optimization remains a significant area of opportunity for researchers in the area, as methods for flexible, robust adsorption and recovery of viral genetic materials would greatly improve the efficacy of WBS systems while making them more accessible for communities worldwide.
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Affiliation(s)
- Alberto Aguayo-Acosta
- Institute of Advanced Materials for Sustainable Manufacturing, Tecnologico de Monterrey, Monterrey 64849, Mexico; (A.A.-A.); (M.A.O.-M.); (O.d.l.R.); (A.O.-C.); (E.M.M.-M.)
- School of Engineering and Sciences, Tecnologico de Monterrey, Monterrey 64849, Mexico; (M.G.J.-R.); (F.S.-L.); (A.A.-C.)
| | - Mildred G. Jiménez-Rodríguez
- School of Engineering and Sciences, Tecnologico de Monterrey, Monterrey 64849, Mexico; (M.G.J.-R.); (F.S.-L.); (A.A.-C.)
| | - Fernando Silva-Lance
- School of Engineering and Sciences, Tecnologico de Monterrey, Monterrey 64849, Mexico; (M.G.J.-R.); (F.S.-L.); (A.A.-C.)
| | - Mariel Araceli Oyervides-Muñoz
- Institute of Advanced Materials for Sustainable Manufacturing, Tecnologico de Monterrey, Monterrey 64849, Mexico; (A.A.-A.); (M.A.O.-M.); (O.d.l.R.); (A.O.-C.); (E.M.M.-M.)
- School of Engineering and Sciences, Tecnologico de Monterrey, Monterrey 64849, Mexico; (M.G.J.-R.); (F.S.-L.); (A.A.-C.)
| | - Arnoldo Armenta-Castro
- School of Engineering and Sciences, Tecnologico de Monterrey, Monterrey 64849, Mexico; (M.G.J.-R.); (F.S.-L.); (A.A.-C.)
| | - Orlado de la Rosa
- Institute of Advanced Materials for Sustainable Manufacturing, Tecnologico de Monterrey, Monterrey 64849, Mexico; (A.A.-A.); (M.A.O.-M.); (O.d.l.R.); (A.O.-C.); (E.M.M.-M.)
- School of Engineering and Sciences, Tecnologico de Monterrey, Monterrey 64849, Mexico; (M.G.J.-R.); (F.S.-L.); (A.A.-C.)
| | - Antonio Ovalle-Carcaño
- Institute of Advanced Materials for Sustainable Manufacturing, Tecnologico de Monterrey, Monterrey 64849, Mexico; (A.A.-A.); (M.A.O.-M.); (O.d.l.R.); (A.O.-C.); (E.M.M.-M.)
- School of Engineering and Sciences, Tecnologico de Monterrey, Monterrey 64849, Mexico; (M.G.J.-R.); (F.S.-L.); (A.A.-C.)
| | - Elda M. Melchor-Martínez
- Institute of Advanced Materials for Sustainable Manufacturing, Tecnologico de Monterrey, Monterrey 64849, Mexico; (A.A.-A.); (M.A.O.-M.); (O.d.l.R.); (A.O.-C.); (E.M.M.-M.)
- School of Engineering and Sciences, Tecnologico de Monterrey, Monterrey 64849, Mexico; (M.G.J.-R.); (F.S.-L.); (A.A.-C.)
| | - Zahra Aghalari
- Faculty of Public Health, Babol University of Medical Sciences, Babol 47176-47754, Iran;
| | - Roberto Parra-Saldívar
- Institute of Advanced Materials for Sustainable Manufacturing, Tecnologico de Monterrey, Monterrey 64849, Mexico; (A.A.-A.); (M.A.O.-M.); (O.d.l.R.); (A.O.-C.); (E.M.M.-M.)
- School of Engineering and Sciences, Tecnologico de Monterrey, Monterrey 64849, Mexico; (M.G.J.-R.); (F.S.-L.); (A.A.-C.)
| | - Juan Eduardo Sosa-Hernández
- Institute of Advanced Materials for Sustainable Manufacturing, Tecnologico de Monterrey, Monterrey 64849, Mexico; (A.A.-A.); (M.A.O.-M.); (O.d.l.R.); (A.O.-C.); (E.M.M.-M.)
- School of Engineering and Sciences, Tecnologico de Monterrey, Monterrey 64849, Mexico; (M.G.J.-R.); (F.S.-L.); (A.A.-C.)
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13
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Yadav SK, Verma D, Yadav U, Kalkal A, Priyadarshini N, Kumar A, Mahato K. Point-of-Care Devices for Viral Detection: COVID-19 Pandemic and Beyond. MICROMACHINES 2023; 14:1744. [PMID: 37763907 PMCID: PMC10535693 DOI: 10.3390/mi14091744] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 08/29/2023] [Accepted: 08/30/2023] [Indexed: 09/29/2023]
Abstract
The pandemic of COVID-19 and its widespread transmission have made us realize the importance of early, quick diagnostic tests for facilitating effective cure and management. The primary obstacles encountered were accurately distinguishing COVID-19 from other illnesses including the flu, common cold, etc. While the polymerase chain reaction technique is a robust technique for the determination of SARS-CoV-2 in patients of COVID-19, there arises a high demand for affordable, quick, user-friendly, and precise point-of-care (POC) diagnostic in therapeutic settings. The necessity for available tests with rapid outcomes spurred the advancement of POC tests that are characterized by speed, automation, and high precision and accuracy. Paper-based POC devices have gained increasing interest in recent years because of rapid, low-cost detection without requiring external instruments. At present, microfluidic paper-based analysis devices have garnered public attention and accelerated the development of such POCT for efficient multistep assays. In the current review, our focus will be on the fabrication of detection modules for SARS-CoV-2. Here, we have included a discussion on various strategies for the detection of viral moieties. The compilation of these strategies would offer comprehensive insight into the detection of the causative agent preparedness for future pandemics. We also provide a descriptive outline for paper-based diagnostic platforms, involving the determination mechanisms, as well as a commercial kit for COVID-19 as well as their outlook.
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Affiliation(s)
- Sumit K. Yadav
- Department of Biotechnology, Vinoba Bhave University, Hazaribagh 825301, Jharkhand, India
| | - Damini Verma
- Department of Biosciences and Bioengineering, Indian Institute of Technology Roorkee, Roorkee 247667, Uttarakhand, India
| | - Ujala Yadav
- Department of Life Sciences, Central University of Jharkhand, Ranchi 835205, Jharkhand, India
| | - Ashish Kalkal
- Department of Biosciences and Bioengineering, Indian Institute of Technology Roorkee, Roorkee 247667, Uttarakhand, India
| | - Nivedita Priyadarshini
- Department of Zoology, DAV PG College Siwan, Jai Prakash University, Chhapra 841226, Bihar, India
| | - Ashutosh Kumar
- Department of Electrical Engineering, University of Notre Dame, Notre Dame, IN 46637, USA
| | - Kuldeep Mahato
- Department of Nanoengineering, University of California San Diego, 9500 Gilman Dr, La Jolla, San Diego, CA 92093, USA
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14
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Annamalai A, Karuppaiya V, Ezhumalai D, Cheruparambath P, Balakrishnan K, Venkatesan A. Nano-based techniques: A revolutionary approach to prevent covid-19 and enhancing human awareness. J Drug Deliv Sci Technol 2023; 86:104567. [PMID: 37313114 PMCID: PMC10183109 DOI: 10.1016/j.jddst.2023.104567] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Revised: 04/22/2023] [Accepted: 05/13/2023] [Indexed: 06/15/2023]
Abstract
In every century of history, there are many new diseases emerged, which are not even cured by many developed countries. Today, despite of scientific development, new deadly pandemic diseases are caused by microorganisms. Hygiene is considered to be one of the best methods of avoiding such communicable diseases, especially viral diseases. Illness caused by SARS-CoV-2 was termed COVID-19 by the WHO, the acronym derived from "coronavirus disease 2019. The globe is living in the worst epidemic era, with the highest infection and mortality rate owing to COVID-19 reaching 6.89% (data up to March 2023). In recent years, nano biotechnology has become a promising and visible field of nanotechnology. Interestingly, nanotechnology is being used to cure many ailments and it has revolutionized many aspects of our lives. Several COVID-19 diagnostic approaches based on nanomaterial have been developed. The various metal NPs, it is highly anticipated that could be viable and economical alternatives for treating drug resistant in many deadly pandemic diseases in near future. This review focuses on an overview of nanotechnology's increasing involvement in the diagnosis, prevention, and therapy of COVID-19, also this review provides readers with an awareness and knowledge of importance of hygiene.
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Affiliation(s)
- Asaikkutti Annamalai
- Marine Biotechnology Laboratory, Department of Biotechnology, School of Life Sciences, Pondicherry University, Pondicherry, 605 014, Puducherry, India
| | - Vimala Karuppaiya
- Cancer Nanomedicine Laboratory, Department of Zoology, School of Life Sciences, Periyar University, Salem, 636 011, Tamil Nadu, India
| | - Dhineshkumar Ezhumalai
- Dr. Krishnamoorthi Foundation for Advanced Scientific Research, Vellore, 632 001, Tamil Nadu, India
- Manushyaa Blossom Private Limited, Chennai, 600 102, Tamil Nadu, India
| | | | - Kaviarasu Balakrishnan
- Dr. Krishnamoorthi Foundation for Advanced Scientific Research, Vellore, 632 001, Tamil Nadu, India
- Manushyaa Blossom Private Limited, Chennai, 600 102, Tamil Nadu, India
| | - Arul Venkatesan
- Marine Biotechnology Laboratory, Department of Biotechnology, School of Life Sciences, Pondicherry University, Pondicherry, 605 014, Puducherry, India
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15
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Dong T, Zhang X, Yuan J, Lin Z, Yin P, Yu H, Wang M, Liu A. Sensitive Lateral Flow Immunoassay Based on Specific Peptide and Superior Oxidase Mimics with a Universal Dual-Mode Significant Signal Amplification. Anal Chem 2023; 95:12532-12540. [PMID: 37553756 DOI: 10.1021/acs.analchem.3c02821] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/10/2023]
Abstract
Rapid and sensitive antigen detection using a lateral flow immunoassay (LFIA) is crucial for diagnosing infectious diseases due to its simplicity, speed, and user-friendly features. However, it remains a critical issue to explore specific biorecognition elements and powerful signal amplification. In this study, taking SARS-CoV-2 as a proof of concept, a specific peptide, WFLNDSELIML, binding to the SARS-CoV-2 spike (S) antigen was identified by a nonamplified biopanning method, which exhibited high affinity to the target, with a dissociation constant of 9.29 ± 1.55 nM. Molecular docking analysis reveals that this peptide binds to the N-terminal domain of the SARS-CoV-2 S antigen. Then, using this peptide as a capture probe and angiotensin-converting enzyme 2 as a detection probe, a peptide-based lateral flow immunoassay (pLFIA) for the sensitive detection of the SARS-CoV-2 S antigen without any antibody was developed, for which a polydopamine nanosphere (PDA)@MnO2 nanocomposite with excellent oxidase-like activity was used as a colorimetric label, exhibiting dual-mode remarkable signal amplification of natural melanin and on-demand nanozyme catalytic enhancement. The PDA@MnO2-based pLFIA is capable of detecting the SARS-CoV-2 S antigen with a limit of detection of 8.01 pg/mL, which is 18.7 times lower than that of a conventional pLFIA tagged with gold nanoparticles. Additionally, the as-proposed PDA@MnO2-based pLFIA can detect up to 150 transduction units/mL SARS-CoV-2 pseudoviruses spiked in saliva samples. Given the outstanding analytical performance, the proposed PDA@MnO2-based pLFIA may offer a reliable option for the rapid diagnosis of SARS-CoV-2.
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Affiliation(s)
- Tao Dong
- Institute for Chemical Biology & Biosensing, College of Life Sciences, Qingdao University, 308 Ningxia Road, Qingdao 266071, China
- School of Pharmacy, Medical College, Qingdao University, 308 Ningxia Road, Qingdao 266071, China
| | - Xin Zhang
- Institute for Chemical Biology & Biosensing, College of Life Sciences, Qingdao University, 308 Ningxia Road, Qingdao 266071, China
| | - Jinlong Yuan
- Institute for Chemical Biology & Biosensing, College of Life Sciences, Qingdao University, 308 Ningxia Road, Qingdao 266071, China
| | - Ziting Lin
- Institute for Chemical Biology & Biosensing, College of Life Sciences, Qingdao University, 308 Ningxia Road, Qingdao 266071, China
- Qingdao Hightop Biotech Co., Ltd., 369 Hedong Road, Hi-tech Industrial Development Zone, Qingdao 266112, China
| | - Pengxue Yin
- Institute for Chemical Biology & Biosensing, College of Life Sciences, Qingdao University, 308 Ningxia Road, Qingdao 266071, China
| | - Haipeng Yu
- Institute for Chemical Biology & Biosensing, College of Life Sciences, Qingdao University, 308 Ningxia Road, Qingdao 266071, China
| | - Mingyang Wang
- Institute for Chemical Biology & Biosensing, College of Life Sciences, Qingdao University, 308 Ningxia Road, Qingdao 266071, China
| | - Aihua Liu
- Institute for Chemical Biology & Biosensing, College of Life Sciences, Qingdao University, 308 Ningxia Road, Qingdao 266071, China
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16
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Liang Y, Xiao M, Xie J, Li J, Zhang Y, Liu H, Zhang Y, He J, Zhang G, Wei N, Peng LM, Ke Y, Zhang ZY. Amplification-Free Detection of SARS-CoV-2 Down to Single Virus Level by Portable Carbon Nanotube Biosensors. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2023; 19:e2208198. [PMID: 37046180 DOI: 10.1002/smll.202208198] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 03/18/2023] [Indexed: 06/19/2023]
Abstract
The rapid and sensitive detection of trace-level viruses in a simple and reliable way is of great importance for epidemic prevention and control. Here, a multi-functionalized floating gate carbon nanotube field effect transistor (FG-CNT FET) based biosensor is reported for the single virus level detection of SARS-CoV-2 virus antigen and RNA rapidly with a portable sensing platform. The aptamers functionalized sensors can detect SARS-CoV-2 antigens from unprocessed nasopharyngeal swab samples within 1 min. Meanwhile, enhanced by a multi-probe strategy, the FG-CNT FET-based biosensor can detect the long chain RNA directly without amplification down to single virus level within 1 min. The device, constructed with packaged sensor chips and a portable sensing terminal, can distinguish 10 COVID-19 patients from 10 healthy individuals in clinical tests both by the RNAs and antigens by a combination detection strategy with an combined overall percent agreement (OPA) close to 100%. The results provide a general and simple method to enhance the sensitivity of FET-based biochemical sensors for the detection of nucleic acid molecules and demonstrate that the CNT FG FET biosensor is a versatile and reliable integrated platform for ultrasensitive multibiomarker detection without amplification and has great potential for point-of-care (POC) clinical tests.
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Affiliation(s)
- Yuqi Liang
- Key Laboratory for the Physics and Chemistry of Nanodevices and Center for Carbon-based Electronics, School of Electronics, Peking University, Beijing, 100871, China
| | - Mengmeng Xiao
- Key Laboratory for the Physics and Chemistry of Nanodevices and Center for Carbon-based Electronics, School of Electronics, Peking University, Beijing, 100871, China
- Hunan Institute of Advanced Sensing and Information Technology, Xiangtan University, Hunan, 411105, China
| | - Jing Xie
- Chinese PLA Center for Disease Control and Prevention, Beijing, 100071, China
| | - Jiahao Li
- School of Laboratory Medicine, Hubei University of Chinese Medicine, Huangjia Lake West Road, Wuhan, 430065, China
| | - Yuyan Zhang
- Key Laboratory for the Physics and Chemistry of Nanodevices and Center for Carbon-based Electronics, School of Electronics, Peking University, Beijing, 100871, China
| | - Haiyang Liu
- Key Laboratory for the Physics and Chemistry of Nanodevices and Center for Carbon-based Electronics, School of Electronics, Peking University, Beijing, 100871, China
| | - Yang Zhang
- Hunan Institute of Advanced Sensing and Information Technology, Xiangtan University, Hunan, 411105, China
| | - Jianping He
- Hunan Institute of Advanced Sensing and Information Technology, Xiangtan University, Hunan, 411105, China
| | - Guojun Zhang
- School of Laboratory Medicine, Hubei University of Chinese Medicine, Huangjia Lake West Road, Wuhan, 430065, China
| | - Nan Wei
- Key Laboratory for the Physics and Chemistry of Nanodevices and Center for Carbon-based Electronics, School of Electronics, Peking University, Beijing, 100871, China
| | - Lian-Mao Peng
- Key Laboratory for the Physics and Chemistry of Nanodevices and Center for Carbon-based Electronics, School of Electronics, Peking University, Beijing, 100871, China
- Hunan Institute of Advanced Sensing and Information Technology, Xiangtan University, Hunan, 411105, China
| | - Yuehua Ke
- Chinese PLA Center for Disease Control and Prevention, Beijing, 100071, China
| | - Zhi-Yong Zhang
- Key Laboratory for the Physics and Chemistry of Nanodevices and Center for Carbon-based Electronics, School of Electronics, Peking University, Beijing, 100871, China
- Hunan Institute of Advanced Sensing and Information Technology, Xiangtan University, Hunan, 411105, China
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17
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Yuan X, Ouaskioud O, Yin X, Li C, Ma P, Yang Y, Yang PF, Xie L, Ren L. Epidermal Wearable Biosensors for the Continuous Monitoring of Biomarkers of Chronic Disease in Interstitial Fluid. MICROMACHINES 2023; 14:1452. [PMID: 37512763 PMCID: PMC10385734 DOI: 10.3390/mi14071452] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 07/15/2023] [Accepted: 07/18/2023] [Indexed: 07/30/2023]
Abstract
Healthcare technology has allowed individuals to monitor and track various physiological and biological parameters. With the growing trend of the use of the internet of things and big data, wearable biosensors have shown great potential in gaining access to the human body, and providing additional functionality to analyze physiological and biochemical information, which has led to a better personalized and more efficient healthcare. In this review, we summarize the biomarkers in interstitial fluid, introduce and explain the extraction methods for interstitial fluid, and discuss the application of epidermal wearable biosensors for the continuous monitoring of markers in clinical biology. In addition, the current needs, development prospects and challenges are briefly discussed.
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Affiliation(s)
- Xichen Yuan
- Key Laboratory of Flexible Electronics of Zhejiang Province, Ningbo Institute of Northwestern Polytechnical University, Ningbo 315103, China
- MOE Key Laboratory of Micro and Nano Systems for Aerospace, School of Mechanical Engineering, Northwestern Polytechnical University, Xi'an 710072, China
- Key Laboratory for Space Bioscience and Biotechnology, School of Life Sciences, Northwestern Polytechnical University, Xi'an 710072, China
| | - Oumaima Ouaskioud
- Key Laboratory of Flexible Electronics of Zhejiang Province, Ningbo Institute of Northwestern Polytechnical University, Ningbo 315103, China
- Key Laboratory for Space Bioscience and Biotechnology, School of Life Sciences, Northwestern Polytechnical University, Xi'an 710072, China
| | - Xu Yin
- MOE Key Laboratory of Micro and Nano Systems for Aerospace, School of Mechanical Engineering, Northwestern Polytechnical University, Xi'an 710072, China
| | - Chen Li
- Key Laboratory of Flexible Electronics of Zhejiang Province, Ningbo Institute of Northwestern Polytechnical University, Ningbo 315103, China
- Key Laboratory for Space Bioscience and Biotechnology, School of Life Sciences, Northwestern Polytechnical University, Xi'an 710072, China
| | - Pengyi Ma
- Key Laboratory of Flexible Electronics of Zhejiang Province, Ningbo Institute of Northwestern Polytechnical University, Ningbo 315103, China
- Key Laboratory for Space Bioscience and Biotechnology, School of Life Sciences, Northwestern Polytechnical University, Xi'an 710072, China
| | - Yang Yang
- Ministry of Education Key Laboratory of Low-Grade Energy Utilization Technologies and Systems, Chongqing University, Chongqing 400030, China
| | - Peng-Fei Yang
- Key Laboratory of Flexible Electronics of Zhejiang Province, Ningbo Institute of Northwestern Polytechnical University, Ningbo 315103, China
- Key Laboratory for Space Bioscience and Biotechnology, School of Life Sciences, Northwestern Polytechnical University, Xi'an 710072, China
| | - Li Xie
- Key Laboratory for Space Bioscience and Biotechnology, School of Life Sciences, Northwestern Polytechnical University, Xi'an 710072, China
| | - Li Ren
- Key Laboratory of Flexible Electronics of Zhejiang Province, Ningbo Institute of Northwestern Polytechnical University, Ningbo 315103, China
- Key Laboratory for Space Bioscience and Biotechnology, School of Life Sciences, Northwestern Polytechnical University, Xi'an 710072, China
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18
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Farokh Payam A, Passian A. Imaging beyond the surface region: Probing hidden materials via atomic force microscopy. SCIENCE ADVANCES 2023; 9:eadg8292. [PMID: 37379392 DOI: 10.1126/sciadv.adg8292] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Accepted: 05/24/2023] [Indexed: 06/30/2023]
Abstract
Probing material properties at surfaces down to the single-particle scale of atoms and molecules has been achieved, but high-resolution subsurface imaging remains a nanometrology challenge due to electromagnetic and acoustic dispersion and diffraction. The atomically sharp probe used in scanning probe microscopy (SPM) has broken these limits at surfaces. Subsurface imaging is possible under certain physical, chemical, electrical, and thermal gradients present in the material. Of all the SPM techniques, atomic force microscopy has entertained unique opportunities for nondestructive and label-free measurements. Here, we explore the physics of the subsurface imaging problem and the emerging solutions that offer exceptional potential for visualization. We discuss materials science, electronics, biology, polymer and composite sciences, and emerging quantum sensing and quantum bio-imaging applications. The perspectives and prospects of subsurface techniques are presented to stimulate further work toward enabling noninvasive high spatial and spectral resolution investigation of materials including meta- and quantum materials.
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Affiliation(s)
- Amir Farokh Payam
- Nanotechnology and Integrated Bioengineering Centre, School of Engineering, Ulster University, Belfast, UK
| | - Ali Passian
- Quantum Computing and Sensing, Oak Ridge National Laboratory, Oak Ridge, TN 37830, USA
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19
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Yunus G, Singh R, Raveendran S, Kuddus M. Electrochemical biosensors in healthcare services: bibliometric analysis and recent developments. PeerJ 2023; 11:e15566. [PMID: 37397018 PMCID: PMC10312160 DOI: 10.7717/peerj.15566] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Accepted: 05/24/2023] [Indexed: 07/04/2023] Open
Abstract
Biosensors are nowadays being used in various fields including disease diagnosis and clinical analysis. The ability to detect biomolecules associated with disease is vital not only for accurate diagnosis of disease but also for drug discovery and development. Among the different types of biosensors, electrochemical biosensor is most widely used in clinical and health care services especially in multiplex assays due to its high susceptibility, low cost and small in size. This article includes comprehensive review of biosensors in medical field with special emphasis on electrochemical biosensors for multiplex assays and in healthcare services. Also, the publications on electrochemical biosensors are increasing rapidly; therefore, it is crucial to be aware of any latest developments or trends in this field of research. We used bibliometric analyses to summarize the progress of this research area. The study includes global publication counts on electrochemical biosensors for healthcare along with various bibliometric data analyses by VOSviewer software. The study also recognizes the top authors and journals in the related area, and determines proposal for monitoring research.
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Affiliation(s)
- Ghazala Yunus
- Department of Basic Science, University of Hail, Hail, Saudi Arabia
| | - Rachana Singh
- Amity Institute of Biotechnology, Amity University Uttar Pradesh, Lucknow, Uttar Pradesh, India
| | - Sindhu Raveendran
- Department of Food Technology, TKM Institute of Technology, Kollam, Kerala, India
| | - Mohammed Kuddus
- Department of Biochemistry, College of Medicine, University of Ha’il, Hail, Saudi Arabia
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20
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Mondal P, Nandan A, Ajithkumar S, Siddiqui NA, Raja S, Kola AK, Balakrishnan D. Sustainable application of nanoparticles in wastewater treatment: Fate, current trend & paradigm shift. ENVIRONMENTAL RESEARCH 2023:116071. [PMID: 37209979 DOI: 10.1016/j.envres.2023.116071] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 05/03/2023] [Accepted: 05/04/2023] [Indexed: 05/22/2023]
Abstract
Existing water and wastewater treatment techniques are becoming increasingly difficult to employ due to the discovery of new toxins, the rapid development of population and industrial activities, and the limited quantity of water resources. Treatment of wastewater is a critical need in modern civilization due to a scarcity of water resources and rising industrial activity. Some of the techniques utilized include adsorption, flocculation, filtration, and others, although they are only used for primary wastewater treatment. However, the development and deployment of modern wastewater management with high efficiency and low capitalization are critical in terms of mitigating the environmental consequences of waste. The employment of different nanomaterials in the treatment of wastewater has opened up a world of possibilities for heavy metal and pesticide removal, as well as the treatment of microbes and organic contaminants in wastewater. Nanotechnology is a rapidly evolving technology because of certain nanoparticle's outstanding physiochemical and biological capabilities as contrasted to bulk counterparts. Secondly, it has been established that this is a cost-effective treatment strategy with significant potential in wastewater management, transcending the limitations imposed by currently existing technology. Advances in nanotechnology to reduce water contamination have been presented in this review, including the use of various nanomaterials such as nanocatalysts, nanoadsorbents, and nanomembranes in the treatment of wastewater containing organic contaminants, hazardous metals, and virulent pathogens.
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Affiliation(s)
- Prasenjit Mondal
- Centre of Excellence in Occupational Health, Safety, Fire and Environment, GD Goenka University, Sohna, Gurgaon, India
| | - Abhishek Nandan
- School of Engineering, University of Petroleum and Energy Studies, Dehradun, India.
| | - Sarath Ajithkumar
- School of Engineering, University of Petroleum and Energy Studies, Dehradun, India
| | - Nihal Anwar Siddiqui
- Centre of Excellence in Occupational Health, Safety, Fire and Environment, GD Goenka University, Sohna, Gurgaon, India
| | - Sivashankar Raja
- Department of Chemical Engineering, National Institute of Technology Warangal, India
| | - Anand Kishore Kola
- Department of Chemical Engineering, National Institute of Technology Warangal, India
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21
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Wen CY, Liang X, Liu J, Zhao TY, Li X, Zhang Y, Guo G, Zhang Z, Zeng J. An achromatic colorimetric nanosensor for sensitive multiple pathogen detection by coupling plasmonic nanoparticles with magnetic separation. Talanta 2023; 256:124271. [PMID: 36681038 DOI: 10.1016/j.talanta.2023.124271] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Revised: 12/07/2022] [Accepted: 01/13/2023] [Indexed: 01/15/2023]
Abstract
Rapid screening of multiple pathogens will greatly improve the efficiency of pandemic prevention and control. Colorimetric methods exhibit the advantages of convenience, portability, low cost, time efficiency, and free of sophisticated instruments, yet usually have difficulties in simultaneous detection and suffer from monotonous color changes with low visual resolution and sensitivity. Hence, coupled three kinds of plasmonic nanoparticles (NPs) with magnetic separation, we developed an achromatic colorimetric nanosensor with highly enhanced visual resolution for simultaneous detection of SARS-CoV-2, Staphylococcus aureus, and Salmonella typhimurium. The achromatic nanosensor was composed of SARS-CoV-2-targeting red gold NPs, S. aureus-targeting yellow silver NPs and S. typhimurium-targeting blue silver triangle NPs mixed as black color. In the detection, three corresponding magnetic probes were added into the above mixture. In the presence of a target pathogen, it would be recognized and combined with corresponding colored reporters and magnetic probes to form sandwich complexes, which were removed by magnetic separation, and the sensor changed from black to a chromatic color (the color of the reporters remained in supernatant). Consequently, different target pathogen induced different color. For example, SARS-CoV-2, S. aureus, and S. typhimurium respectively produced green, purple, and orange. While coexistence of S. aureus and S. typhimurium produced red, and coexistence of S. aureus and SARS-CoV-2 produced blue, etc. Therefore, by observing the color change or measuring the absorption spectra, multiple pathogen detection was achieved conveniently. Compared with most colorimetric sensors, this achromatic nanosensor involved rich color change, thus significantly enhancing visual resolution and inspection sensitivity. Therefore, this sensor opened a promising avenue for efficient monitoring and early warning of food safety and quality.
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Affiliation(s)
- Cong-Ying Wen
- College of Chemistry and Chemical Engineering, China University of Petroleum (East China), Qingdao, 266580, PR China
| | - Xinyi Liang
- College of Chemistry and Chemical Engineering, China University of Petroleum (East China), Qingdao, 266580, PR China
| | - Jianting Liu
- Huangdao Customs of the People's Republic of China, 266580, PR China
| | - Tian-Yu Zhao
- College of Chemistry and Chemical Engineering, China University of Petroleum (East China), Qingdao, 266580, PR China
| | - Xiang Li
- College of Chemistry and Chemical Engineering, China University of Petroleum (East China), Qingdao, 266580, PR China
| | - Yu Zhang
- College of Chemistry and Chemical Engineering, China University of Petroleum (East China), Qingdao, 266580, PR China
| | - Gengchen Guo
- College of Chemistry and Chemical Engineering, China University of Petroleum (East China), Qingdao, 266580, PR China
| | - Zhuoran Zhang
- College of Chemistry and Chemical Engineering, China University of Petroleum (East China), Qingdao, 266580, PR China
| | - Jingbin Zeng
- College of Chemistry and Chemical Engineering, China University of Petroleum (East China), Qingdao, 266580, PR China.
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22
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Sen P, Zhang Z, Li P, Adhikari BR, Guo T, Gu J, MacIntosh AR, van der Kuur C, Li Y, Soleymani L. Integrating Water Purification with Electrochemical Aptamer Sensing for Detecting SARS-CoV-2 in Wastewater. ACS Sens 2023; 8:1558-1567. [PMID: 36926840 PMCID: PMC10042147 DOI: 10.1021/acssensors.2c02655] [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: 12/04/2022] [Accepted: 03/02/2023] [Indexed: 03/18/2023]
Abstract
Wastewater analysis of pathogens, particularly SARS-CoV-2, is instrumental in tracking and monitoring infectious diseases in a population. This method can be used to generate early warnings regarding the onset of an infectious disease and predict the associated infection trends. Currently, wastewater analysis of SARS-CoV-2 is almost exclusively performed using polymerase chain reaction for the amplification-based detection of viral RNA at centralized laboratories. Despite the development of several biosensing technologies offering point-of-care solutions for analyzing SARS-CoV-2 in clinical samples, these remain elusive for wastewater analysis due to the low levels of the virus and the interference caused by the wastewater matrix. Herein, we integrate an aptamer-based electrochemical chip with a filtration, purification, and extraction (FPE) system for developing an alternate in-field solution for wastewater analysis. The sensing chip employs a dimeric aptamer, which is universally applicable to the wild-type, alpha, delta, and omicron variants of SARS-CoV-2. We demonstrate that the aptamer is stable in the wastewater matrix (diluted to 50%) and its binding affinity is not significantly impacted. The sensing chip demonstrates a limit of detection of 1000 copies/L (1 copy/mL), enabled by the amplification provided by the FPE system. This allows the integrated system to detect trace amounts of the virus in native wastewater and categorize the amount of contamination into trace (<10 copies/mL), medium (10-1000 copies/mL), or high (>1000 copies/mL) levels, providing a viable wastewater analysis solution for in-field use.
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Affiliation(s)
- Payel Sen
- Department of Engineering Physics,
McMaster University, Hamilton L8S 4K1,
Canada
| | - Zijie Zhang
- Department of Biochemistry and Biomedical Sciences,
McMaster University, Hamilton L8S 4K1,
Canada
| | - Phoebe Li
- Department of Physics, McMaster
University, Hamilton L8S 4K1, Canada
| | - Bal Ram Adhikari
- Department of Engineering Physics,
McMaster University, Hamilton L8S 4K1,
Canada
| | - Tianyi Guo
- Forsee Instruments, Ltd.,
Hamilton L8P0A1, Canada
| | - Jimmy Gu
- Department of Biochemistry and Biomedical Sciences,
McMaster University, Hamilton L8S 4K1,
Canada
| | | | | | - Yingfu Li
- Department of Biochemistry and Biomedical Sciences,
McMaster University, Hamilton L8S 4K1,
Canada
- School of Biomedical Engineering, McMaster
University, Hamilton L8S 4K1, Canada
- Michael G. DeGroote Institute for Infectious Disease
Research, McMaster University, Hamilton L8S 4K1,
Canada
| | - Leyla Soleymani
- Department of Engineering Physics,
McMaster University, Hamilton L8S 4K1,
Canada
- School of Biomedical Engineering, McMaster
University, Hamilton L8S 4K1, Canada
- Michael G. DeGroote Institute for Infectious Disease
Research, McMaster University, Hamilton L8S 4K1,
Canada
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23
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Li Z, Hua L, Xie L, Wang D, Jiang X. Automated Microfluidic Nucleic Acid Detection Platform-Integrated RPA-T7-Cas13a for Pathogen Diagnosis. Anal Chem 2023; 95:6940-6947. [PMID: 37083348 DOI: 10.1021/acs.analchem.3c00242] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/22/2023]
Abstract
There is a growing urgent need for point-of-care testing (POCT) devices that integrate sample pretreatment and nucleic acid detection in a rapid, economical, and non-labor-intensive way. Here, we have developed an automated, portable nucleic acid detection system employing microfluidic chips integrating rotary valve-assisted sample pretreatment and recombinase polymerase amplification (RPA)-T7-Cas13a into one-step nucleic acid detection. The RPA and clustered regularly interspaced short palindromic repeats (CRISPR)/Cas13a were integrated into a single-chamber reaction. As a validation model, we used this method to detect Group B streptococci (GBS) DNA and achieved a detection sensitivity of 8 copies/reaction, which is 6 times more sensitive than gold-standard polymerase chain reactions (PCRs). Dual specific recognition of RPA with CRISPR/Cas13a makes our method ultraspecific, with correct detection of Group B streptococci from 8 kinds of pathogenic bacteria. For the 16 positive and 24 negative clinical GBS samples, our assay achieved 100% accuracy compared to the PCR technique. The whole procedure can be automatically completed within 30 min, providing a more robust, sensitive, and accurate molecular diagnostic tool for POCT.
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Affiliation(s)
- Zheng Li
- Shenzhen Key Laboratory of Smart Healthcare Engineering, Guangdong Provincial Key Laboratory of Advanced Biomaterials, Department of Biomedical Engineering, Southern University of Science and Technology, No. 1088, Xueyuan Road, Nanshan District, Shenzhen 518055, Guangdong, China
| | - Liyan Hua
- Shaoguan Maternal and Child Health Hospital, No. 3, Dongdi South Road, Shaoguan 512026, Guangdong, China
| | - Liming Xie
- Shaoguan Maternal and Child Health Hospital, No. 3, Dongdi South Road, Shaoguan 512026, Guangdong, China
| | - Dou Wang
- Shenzhen Key Laboratory of Smart Healthcare Engineering, Guangdong Provincial Key Laboratory of Advanced Biomaterials, Department of Biomedical Engineering, Southern University of Science and Technology, No. 1088, Xueyuan Road, Nanshan District, Shenzhen 518055, Guangdong, China
| | - Xingyu Jiang
- Shenzhen Key Laboratory of Smart Healthcare Engineering, Guangdong Provincial Key Laboratory of Advanced Biomaterials, Department of Biomedical Engineering, Southern University of Science and Technology, No. 1088, Xueyuan Road, Nanshan District, Shenzhen 518055, Guangdong, China
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24
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Alafeef M, Skrodzki D, Moitra P, Gunaseelan N, Pan D. Binding-Induced Folding of DNA Oligonucleotides Targeted to the Nucleocapsid Gene Enables Electrochemical Sensing of SARS-CoV-2. ACS APPLIED BIO MATERIALS 2023; 6:1133-1145. [PMID: 36877613 PMCID: PMC9999945 DOI: 10.1021/acsabm.2c00984] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Accepted: 02/19/2023] [Indexed: 03/07/2023]
Abstract
In the wake of the COVID-19 pandemic, millions of confirmed cases and deaths have been reported around the world. COVID-19 spread can be slowed and eventually stopped by a rapid test to diagnose positive cases of the disease on the spot. It is still important to test for COVID-19 quickly regardless of the availability of the vaccine. Using the binding-induced folding principle, we developed an electrochemical test for detecting SARS-CoV-2 with no RNA extraction or nucleic acid amplification. The test showed high sensitivity with a limit of detection of 2.5 copies/μL. An electrode mounted with a capture probe and a portable potentiostat are used to conduct the test. To target the N-gene of SARS-CoV-2, a highly specific oligo-capturing probe was used. Based on the binding-induced "folding" principle, the sensor detects binding between the oligo and RNA. When the target is absent, the capture probe tends to form a hairpin as a secondary structure, retaining the redox reporter close to the surface. This can be seen as a large anodic and cathodic peak current. When the target RNA is present, the hairpin structure will open to hybridize with its complementary sequence, causing the redox reporter to pull away from the electrode. Consequently, the anodic/cathodic peak currents are reduced, indicating the presence of the SARS-CoV-2 genetic material. Validation of the test performance was performed using 122 COVID-19 clinical samples (55 positives and 67 negatives) and benchmarked to the gold standard reverse transcription-polymerase chain reaction (RT-PCR) test. As a result of our test, the accuracy, sensitivity, and specificity have been measured at 98.4%, 98.2%, and 98.5%, respectively.
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Affiliation(s)
- Maha Alafeef
- Bioengineering
Department, The University of Illinois at
Urbana-Champaign, Urbana, Illinois 61801, United States
- Departments
of Diagnostic Radiology and Nuclear Medicine and Pediatrics, Center
for Blood Oxygen Transport and Hemostasis, Health Sciences Research
Facility III, University of Maryland School
of Medicine, 670 W Baltimore
Street, Baltimore, Maryland 21201, United States
- Biomedical
Engineering Department, Jordan University
of Science and Technology, Irbid 22110, Jordan
- Department
of Chemical, Biochemical and Environmental Engineering, University of Maryland, Baltimore County, Baltimore, Maryland 21250, United States
- Department
of Nuclear Engineering, Pennsylvania State
University, State
College, Pennsylvania 16801, United States
| | - David Skrodzki
- Department
of Materials Science and Engineering, Pennsylvania
State University, State College, Pennsylvania 16801, United States
| | - Parikshit Moitra
- Department
of Nuclear Engineering, Pennsylvania State
University, State
College, Pennsylvania 16801, United States
| | - Nivetha Gunaseelan
- Biomedical
Engineering Department, Pennsylvania State
University, State College, Pennsylvania 16801, United States
| | - Dipanjan Pan
- Bioengineering
Department, The University of Illinois at
Urbana-Champaign, Urbana, Illinois 61801, United States
- Departments
of Diagnostic Radiology and Nuclear Medicine and Pediatrics, Center
for Blood Oxygen Transport and Hemostasis, Health Sciences Research
Facility III, University of Maryland School
of Medicine, 670 W Baltimore
Street, Baltimore, Maryland 21201, United States
- Department
of Chemical, Biochemical and Environmental Engineering, University of Maryland, Baltimore County, Baltimore, Maryland 21250, United States
- Department
of Nuclear Engineering, Pennsylvania State
University, State
College, Pennsylvania 16801, United States
- Department
of Materials Science and Engineering, Pennsylvania
State University, State College, Pennsylvania 16801, United States
- Biomedical
Engineering Department, Pennsylvania State
University, State College, Pennsylvania 16801, United States
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25
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Song S, Lee JU, Jeon MJ, Kim S, Lee CN, Sim SJ. Precise profiling of exosomal biomarkers via programmable curved plasmonic nanoarchitecture-based biosensor for clinical diagnosis of Alzheimer's disease. Biosens Bioelectron 2023; 230:115269. [PMID: 37001292 DOI: 10.1016/j.bios.2023.115269] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 03/20/2023] [Accepted: 03/26/2023] [Indexed: 03/30/2023]
Abstract
Alzheimer's disease (AD) is a neurodegenerative disease of complex pathogenesis, with overt symptoms following disease progression. Early AD diagnosis is challenging due to the lack of robust biomarkers and limited patient access to diagnostics via neuroimaging and cerebrospinal fluid (CSF) tests. Exosomes present in body fluids are attracting attention as diagnostic biomarkers that directly reflect neuropathological features within the brain. In particular, exosomal miRNAs (exomiRs) signatures are involved in AD pathogenesis, showing a different expression between patients and the healthy controls (HCs). However, low yield and high homologous nature impede the accuracy and reproducibility of exosome blood-based AD diagnostics. Here, we developed a programmable curved plasmonic nanoarchitecture-based biosensor to analyze exomiRs in clinical serum samples for accurate AD diagnosis. To allow the detection of exomiRs in serum at attomolar levels, nanospaces (e.g., nanocrevice and nanocavity) were introduced into the nanostructures to dramatically increase the spectral sensitivity by adjusting the bending angle of the plasmonic nanostructure through sodium chloride concentration control. The developed biosensor classifies individuals into AD, mild cognitive impairment (MCI) patients, and HCs through profiling and quantifying exomiRs. Furthermore, integrating analysis expression patterns of multiple exosomal biomarkers improved serum-based diagnostic performance (average accuracy of 98.22%). Therefore, precise, highly sensitive serum-derived exosomal biomarker detection-based plasmonic biosensor has a robust capacity to predict the molecular pathologic of neurodegenerative disease, progression of cognitive decline, MCI/AD conversion, as well as early diagnosis and treatment.
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26
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Bhalla N, Payam AF. Addressing the Silent Spread of Monkeypox Disease with Advanced Analytical Tools. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2023; 19:e2206633. [PMID: 36517107 DOI: 10.1002/smll.202206633] [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: 10/27/2022] [Indexed: 06/17/2023]
Abstract
Monkeypox disease is caused by a virus which belongs to the orthopoxvirus genus of the poxviridae family. This disease has recently spread out to several non-endemic countries. While some cases have been linked to travel from endemic regions, more recent infections are thought to have spread in the community without any travel links, raising the risks of a wider outbreak. This state of public health represents a highly unusual event which requires urgent surveillance. In this context, the opportunities and technological challenges of current bio/chemical sensors, nanomaterials, nanomaterial characterization instruments, and artificially intelligent biosystems collectively called "advanced analytical tools" are reviewed here, which will allow early detection, characterization, and inhibition of the monkeypox virus (MPXV) in the community and limit its expansion from endemic to pandemic. A summary of background information is also provided from biological and epidemiological perspective of monkeypox to support the scientific case for its holistic management using advanced analytical tools.
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Affiliation(s)
- Nikhil Bhalla
- Nanotechnology and Integrated Bioengineering Centre (NIBEC), School of Engineering, Ulster University, York St., BT15 1ED Belfast, Northern Ireland, UK
- Healthcare Technology Hub, Ulster University, York St., BT15 1ED Belfast, Northern Ireland, UK
| | - Amir Farokh Payam
- Nanotechnology and Integrated Bioengineering Centre (NIBEC), School of Engineering, Ulster University, York St., BT15 1ED Belfast, Northern Ireland, UK
- Healthcare Technology Hub, Ulster University, York St., BT15 1ED Belfast, Northern Ireland, UK
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27
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Sanko V, Kuralay F. Label-Free Electrochemical Biosensor Platforms for Cancer Diagnosis: Recent Achievements and Challenges. BIOSENSORS 2023; 13:bios13030333. [PMID: 36979545 PMCID: PMC10046346 DOI: 10.3390/bios13030333] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 02/17/2023] [Accepted: 02/23/2023] [Indexed: 05/31/2023]
Abstract
With its fatal effects, cancer is still one of the most important diseases of today's world. The underlying fact behind this scenario is most probably due to its late diagnosis. That is why the necessity for the detection of different cancer types is obvious. Cancer studies including cancer diagnosis and therapy have been one of the most laborious tasks. Since its early detection significantly affects the following therapy steps, cancer diagnosis is very important. Despite researchers' best efforts, the accurate and rapid diagnosis of cancer is still challenging and difficult to investigate. It is known that electrochemical techniques have been successfully adapted into the cancer diagnosis field. Electrochemical sensor platforms that are brought together with the excellent selectivity of biosensing elements, such as nucleic acids, aptamers or antibodies, have put forth very successful outputs. One of the remarkable achievements of these biomolecule-attached sensors is their lack of need for additional labeling steps, which bring extra burdens such as interference effects or demanding modification protocols. In this review, we aim to outline label-free cancer diagnosis platforms that use electrochemical methods to acquire signals. The classification of the sensing platforms is generally presented according to their recognition element, and the most recent achievements by using these attractive sensing substrates are described in detail. In addition, the current challenges are discussed.
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Affiliation(s)
- Vildan Sanko
- Department of Chemistry, Gebze Technical University, 41400 Kocaeli, Turkey
| | - Filiz Kuralay
- Department of Chemistry, Faculty of Science, Hacettepe University, 06800 Ankara, Turkey
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28
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Monavari SM, Marsusi F, Memarian N, Qasemnazhand M. Carbon nanotubes and nanobelts as potential materials for biosensor. Sci Rep 2023; 13:3118. [PMID: 36813813 PMCID: PMC9945837 DOI: 10.1038/s41598-023-29862-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Accepted: 02/11/2023] [Indexed: 02/24/2023] Open
Abstract
We investigate the electronic response of single-walled carbon nanotubes (SWCNTs) and a carbon nanobelt (CNB) to N-linked and O-linked SARS-CoV-2 spike glycoproteins, using ab initio quantum mechanical approach. The CNTs are selected from three zigzag, armchair, and chiral groups. We examine the effect of carbon nanotube (CNT) chirality on the interaction between CNTs and glycoproteins. Results indicate that the chiral semiconductor CNTs clearly response to the presence of the glycoproteins by changing the electronic band gaps and electron density of states (DOS). Since the changes in the CNTs band gaps in the presence of N-linked are about two times larger than the changes in the presence of the O-linked glycoprotein, chiral CNT may distinguish different types of the glycoproteins. The same results are obtained from CNBs. Thereby, we predict CNBs and chiral CNTs have suitable potential in sequential analysis of N- and O-linked glycosylation of the spike protein.
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Affiliation(s)
- Seyyed Mostafa Monavari
- grid.412475.10000 0001 0506 807XFaculty of Physics, Semnan University, P.O. Box 35195-363, Semnan, Iran
| | - Farah Marsusi
- Department of Physics and Energy Engineering, Amirkabir University of Technology, P.O. Box 15875-4413, Tehran, Iran.
| | - Nafiseh Memarian
- grid.412475.10000 0001 0506 807XFaculty of Physics, Semnan University, P.O. Box 35195-363, Semnan, Iran
| | - Mohammad Qasemnazhand
- grid.411368.90000 0004 0611 6995Department of Physics and Energy Engineering, Amirkabir University of Technology, P.O. Box 15875-4413, Tehran, Iran
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29
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Tzouvadaki I, Prodromakis T. Large-scale nano-biosensing technologies. FRONTIERS IN NANOTECHNOLOGY 2023. [DOI: 10.3389/fnano.2023.1127363] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/17/2023] Open
Abstract
Nanoscale technologies have brought significant advancements to modern diagnostics, enabling unprecedented bio-chemical sensitivities that are key to disease monitoring. At the same time, miniaturized biosensors and their integration across large areas enabled tessellating these into high-density biosensing panels, a key capability for the development of high throughput monitoring: multiple patients as well as multiple analytes per patient. This review provides a critical overview of various nanoscale biosensing technologies and their ability to unlock high testing throughput without compromising detection resilience. We report on the challenges and opportunities each technology presents along this direction and present a detailed analysis on the prospects of both commercially available and emerging biosensing technologies.
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30
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Makkar A, Santosh KC. SecureFed: federated learning empowered medical imaging technique to analyze lung abnormalities in chest X-rays. INT J MACH LEARN CYB 2023; 14:1-12. [PMID: 36817940 PMCID: PMC9928498 DOI: 10.1007/s13042-023-01789-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Accepted: 01/20/2023] [Indexed: 02/16/2023]
Abstract
Machine learning is an effective and accurate technique to diagnose COVID-19 infections using image data, and chest X-Ray (CXR) is no exception. Considering privacy issues, machine learning scientists end up receiving less medical imaging data. Federated Learning (FL) is a privacy-preserving distributed machine learning paradigm that generates an unbiased global model that follows local model (from clients) without exposing their personal data. In the case of heterogeneous data among clients, vanilla or default FL mechanism still introduces an insecure method for updating models. Therefore, we proposed SecureFed-a secure aggregation method-which ensures fairness and robustness. In our experiments, we employed COVID-19 CXR dataset (of size 2100 positive cases) and compared it with the existing FL frameworks such as FedAvg, FedMGDA+, and FedRAD. In our comparison, we primarily considered robustness (accuracy) and fairness (consistency). As the SecureFed produced consistently better results, it is generic enough to be considered for multimodal data.
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Affiliation(s)
- Aaisha Makkar
- College of Science and Engineering, University of Derby, Kedleston Rd, Derby, DE22 1GB UK
| | - KC Santosh
- Applied AI Research Lab, Department of Computer Science, University of South Dakota, 414 E Clark St, Vermillion, SD 57069 USA
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31
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Crintea A, Carpa R, Mitre AO, Petho RI, Chelaru VF, Nădășan SM, Neamti L, Dutu AG. Nanotechnology Involved in Treating Urinary Tract Infections: An Overview. NANOMATERIALS (BASEL, SWITZERLAND) 2023; 13:555. [PMID: 36770516 PMCID: PMC9919202 DOI: 10.3390/nano13030555] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 01/22/2023] [Accepted: 01/27/2023] [Indexed: 06/18/2023]
Abstract
Considered as the most frequent contaminations that do not require hospitalization, urinary tract infections (UTIs) are largely known to cause significant personal burdens on patients. Although UTIs overall are highly preventable health issues, the recourse to antibiotics as drug treatments for these infections is a worryingly spread approach that should be addressed and gradually overcome in a contemporary, modernized healthcare system. With a virtually alarming global rise of antibiotic resistance overall, nanotechnologies may prove to be the much-needed 'lifebuoy' that will eventually suppress this prejudicial phenomenon. This review aims to present the most promising, currently known nano-solutions, with glimpses on clinical and epidemiological aspects of the UTIs, prospective diagnostic instruments, and non-antibiotic treatments, all of these engulfed in a comprehensive overview.
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Affiliation(s)
- Andreea Crintea
- Department of Medical Biochemistry, Faculty of Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, 400349 Cluj-Napoca, Romania
| | - Rahela Carpa
- Department of Molecular Biology and Biotechnology, Faculty of Biology and Geology, Babes-Bolyai University, 400084 Cluj-Napoca, Romania
| | - Andrei-Otto Mitre
- Department of Pathophysiology, Faculty of Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, 400349 Cluj-Napoca, Romania
| | - Robert Istvan Petho
- Faculty of Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, 400349 Cluj-Napoca, Romania
| | - Vlad-Florin Chelaru
- Faculty of Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, 400349 Cluj-Napoca, Romania
| | - Sebastian-Mihail Nădășan
- Faculty of Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, 400349 Cluj-Napoca, Romania
| | - Lidia Neamti
- Department of Medical Biochemistry, Faculty of Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, 400349 Cluj-Napoca, Romania
| | - Alina Gabriela Dutu
- Department of Medical Biochemistry, Faculty of Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, 400349 Cluj-Napoca, Romania
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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: 9.0] [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.
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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
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33
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COVID-19 diagnostic approaches with an extensive focus on computed tomography in accurate diagnosis, prognosis, staging, and follow-up. Pol J Radiol 2023; 88:e53-e64. [PMID: 36819223 PMCID: PMC9907165 DOI: 10.5114/pjr.2023.124597] [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: 08/12/2022] [Accepted: 10/12/2022] [Indexed: 02/10/2023] Open
Abstract
Although a long time has passed since its outbreak, there is currently no specific treatment for COVID-19, and it seems that the most appropriate strategy to combat this pandemic is to identify and isolate infected individuals. Various clinical diagnosis methods such as molecular techniques, serologic assays, and imaging techniques have been developed to identify suspected patients. Although reverse transcription-quantitative PCR (RT-qPCR) has emerged as a reference standard method for diagnosis of SARS-CoV-2, the high rate of false-negative results and limited supplies to meet current demand are the main shortcoming of this technique. Based on a comprehensive literature review, imaging techniques, particularly computed tomography (CT), show an acceptable level of sensitivity in the diagnosis and follow-up of COVID-19. Indeed, because lung infection or pneumonia is a common complication of COVID-19, the chest CT scan can be an alternative testing method in the early diagnosis and treatment assessment of the disease. In this review, we summarize all the currently available frontline diagnostic tools for the detection of SARS-CoV-2-infected individuals and highlight the value of chest CT scan in the diagnosis, prognosis, staging, management, and follow-up of infected patients.
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34
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Rizvi A, Murtaza G, Xu X, Gao P, Qiu L, Meng Z. Aptamer-Linked Photonic Crystal Assay for High-Throughput Screening of HIV and SARS-CoV-2. Anal Chem 2023; 95:917-923. [PMID: 36578103 PMCID: PMC9843629 DOI: 10.1021/acs.analchem.2c03467] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Accepted: 12/13/2022] [Indexed: 12/30/2022]
Abstract
We present a microplate assay for the detection of HIV and SARS-CoV-2 which involves the preadsorption of carboxy-modified polystyrene microspheres to the microplate wells and their self-assembly leading to the formation of a photonic crystal colloidal array (PCCA). PCCA is then cross-linked with amino-modified aptamers selected for viral cell surface glycoproteins, i.e., S1-protein of SARS-CoV-2 and gp120 of the human immunodeficiency virus (HIV), to develop an aptamer-linked photonic crystal assay (ALPA). ALPA is then utilized as a proof-of-concept method for the detection of S1-protein, gp120, and two whole viruses, i.e., SARS-CoV-2 and HIV, as well. The aptamers are stable at room temperature and can bind with the viruses' proteins via hydrogen bonding. This binding leads to color generation from PCCA, and the signal can easily be measured and quantified by a UV/vis spectrometer. The assay carries the advantage of a two-step detection process by the addition of the virus sample directly to a 96-well microplate and incubation of 5 min followed by convenient detection through a UV/vis-spectrometer. The assay does not require any additional reagents and can be customized for similar viruses utilizing specific aptamers targeting their cell surface receptors.
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Affiliation(s)
- Aysha
Sarfraz Rizvi
- School of Chemistry and Chemical
Engineering, Beijing Institute of Technology Beijing 100081, China
| | - Ghulam Murtaza
- School of Chemistry and Chemical
Engineering, Beijing Institute of Technology Beijing 100081, China
| | - Xu Xu
- School of Chemistry and Chemical
Engineering, Beijing Institute of Technology Beijing 100081, China
| | - Peifeng Gao
- School of Chemistry and Chemical
Engineering, Beijing Institute of Technology Beijing 100081, China
| | - Lili Qiu
- School of Chemistry and Chemical
Engineering, Beijing Institute of Technology Beijing 100081, China
| | - Zihui Meng
- School of Chemistry and Chemical
Engineering, Beijing Institute of Technology Beijing 100081, China
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35
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Zhang F, Wang X, Zhang T, Zhang Z, Gao X, Li Y. Rapid Detection of SARS-CoV-2 Spike RBD Protein in Body Fluid: Based on Special Calcium Ion-Mediated Gold Nanoparticles Modified by Bromide Ions. J Phys Chem Lett 2023; 14:88-94. [PMID: 36573843 PMCID: PMC9843627 DOI: 10.1021/acs.jpclett.2c03069] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Accepted: 12/22/2022] [Indexed: 06/17/2023]
Abstract
The receptor-binding domain of the SARS-CoV-2 spike mediates the key to binding the virus to the host receptor, but capturing the molecular signal of this spike RBD remains a formidable challenge. Here, we report a new surface-enhanced Raman spectroscopy (SERS) approach, which used gold nanoparticles prepared by low-speed constant-temperature centrifugation by bromine and calcium ions in two cleaning steps as the enhanced substrate to rapidly and accurately detect spike RBD large protein molecules in body fluids. The detection signal was extremely stable, and the orientation of the spike RBD on the enhanced substrate surface was also determined. This approach was specific in distinguishing different SARS-CoV-2 variants of spike RBD, including Delta, Beta, Gamma, and Omicron. Additionally, the enhanced substrate can identify biologically active or inactive spike RBD. This two-step cleaning enhanced substrate opens up opportunities not only for early diagnostics of SARS-CoV-2 virus but also for developing targeted drugs against viruses.
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Affiliation(s)
- Fenghai Zhang
- Institute
of Physics, Guizhou University, No. 2708, South Section of Huaxi
Avenue, Guiyang City, 550025Guizhou Province, China
| | - Xiaotong Wang
- College
of Pharmacy, Harbin Medical University, No. 157, Baojian Road, Nangang District, Harbin City, 150081Heilongjiang Province, China
| | - Ting Zhang
- College
of Pharmacy, Harbin Medical University, No. 157, Baojian Road, Nangang District, Harbin City, 150081Heilongjiang Province, China
| | - Zhe Zhang
- College
of Pharmacy, Harbin Medical University, No. 157, Baojian Road, Nangang District, Harbin City, 150081Heilongjiang Province, China
| | - Xin Gao
- Institute
of Physics, Guizhou University, No. 2708, South Section of Huaxi
Avenue, Guiyang City, 550025Guizhou Province, China
| | - Yang Li
- Institute
of Physics, Guizhou University, No. 2708, South Section of Huaxi
Avenue, Guiyang City, 550025Guizhou Province, China
- College
of Pharmacy, Harbin Medical University, No. 157, Baojian Road, Nangang District, Harbin City, 150081Heilongjiang Province, China
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36
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Mare R, Mare C, Hadarean A, Hotupan A, Rus T. COVID-19 and Water Variables: Review and Scientometric Analysis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:957. [PMID: 36673718 PMCID: PMC9859563 DOI: 10.3390/ijerph20020957] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/06/2022] [Revised: 12/29/2022] [Accepted: 12/30/2022] [Indexed: 06/17/2023]
Abstract
COVID-19 has changed the world since 2020, and the field of water specifically, boosting scientific productivity (in terms of published articles). This paper focuses on the influence of COVID-19 on scientific productivity with respect to four water variables: (i) wastewater, (ii) renewable water resources, (iii) freshwater withdrawal, and (iv) access to improved and safe drinking water. The field's literature was firstly reviewed, and then the maps were built, emphasizing the strong connections between COVID-19 and water-related variables. A total of 94 countries with publications that assess COVID-19 vs. water were considered and evaluated for how they clustered. The final step of the research shows that, on average, scientific productivity on the water topic was mostly conducted in countries with lower COVID-19 infection rates but higher development levels as represented by gross domestic product (GDP) per capita and the human development index (HDI). According to the statistical analysis, the water-related variables are highly significant, with positive coefficients. This validates that countries with higher water-related values conducted more research on the relationship with COVID-19. Wastewater and freshwater withdrawal had the highest impact on the scientific productivity with respect to COVID-19. Access to safe drinking water becomes insignificant in the presence of the development parameters.
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Affiliation(s)
- Roxana Mare
- Department of Building Services Engineering, Faculty of Building Services Engineering, Technical University of Cluj-Napoca, 128-130 21 Decembrie 1989 Blv., 400604 Cluj-Napoca, Romania
| | - Codruța Mare
- Department of Statistics-Forecasts-Mathematics, Faculty of Economics and Business Administration, Babes-Bolyai University, 58-60 Teodor Mihali Str., 400591 Cluj-Napoca, Romania
- Interdisciplinary Centre for Data Science, Babes-Bolyai University, 68 Avram Iancu Str., 4th Floor, 400083 Cluj-Napoca, Romania
| | - Adriana Hadarean
- Department of Building Services Engineering, Faculty of Building Services Engineering, Technical University of Cluj-Napoca, 128-130 21 Decembrie 1989 Blv., 400604 Cluj-Napoca, Romania
| | - Anca Hotupan
- Department of Building Services Engineering, Faculty of Building Services Engineering, Technical University of Cluj-Napoca, 128-130 21 Decembrie 1989 Blv., 400604 Cluj-Napoca, Romania
| | - Tania Rus
- Department of Building Services Engineering, Faculty of Building Services Engineering, Technical University of Cluj-Napoca, 128-130 21 Decembrie 1989 Blv., 400604 Cluj-Napoca, Romania
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37
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Shabani L, Abbasi M, Azarnew Z, Amani AM, Vaez A. Neuro-nanotechnology: diagnostic and therapeutic nano-based strategies in applied neuroscience. Biomed Eng Online 2023; 22:1. [PMID: 36593487 PMCID: PMC9809121 DOI: 10.1186/s12938-022-01062-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Accepted: 12/23/2022] [Indexed: 01/03/2023] Open
Abstract
Artificial, de-novo manufactured materials (with controlled nano-sized characteristics) have been progressively used by neuroscientists during the last several decades. The introduction of novel implantable bioelectronics interfaces that are better suited to their biological targets is one example of an innovation that has emerged as a result of advanced nanostructures and implantable bioelectronics interfaces, which has increased the potential of prostheses and neural interfaces. The unique physical-chemical properties of nanoparticles have also facilitated the development of novel imaging instruments for advanced laboratory systems, as well as intelligently manufactured scaffolds and microelectrodes and other technologies designed to increase our understanding of neural tissue processes. The incorporation of nanotechnology into physiology and cell biology enables the tailoring of molecular interactions. This involves unique interactions with neurons and glial cells in neuroscience. Technology solutions intended to effectively interact with neuronal cells, improved molecular-based diagnostic techniques, biomaterials and hybridized compounds utilized for neural regeneration, neuroprotection, and targeted delivery of medicines as well as small chemicals across the blood-brain barrier are all purposes of the present article.
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Affiliation(s)
- Leili Shabani
- grid.412571.40000 0000 8819 4698Department of Emergency Medicine, School of Medicine, Namazi Teaching Hospital, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Milad Abbasi
- grid.412571.40000 0000 8819 4698Department of Medical Nanotechnology, School of Advanced Medical Sciences and Technologies, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Zeynab Azarnew
- grid.412571.40000 0000 8819 4698Department of Medical Nanotechnology, School of Advanced Medical Sciences and Technologies, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Ali Mohammad Amani
- grid.412571.40000 0000 8819 4698Department of Medical Nanotechnology, School of Advanced Medical Sciences and Technologies, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Ahmad Vaez
- grid.412571.40000 0000 8819 4698Department of Tissue Engineering and Applied Cell Sciences, School of Advanced Medical Sciences and Technologies, Shiraz University of Medical Sciences, Shiraz, Iran
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38
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Matheri AN, Belaid M, Njenga CK, Ngila JC. Water and wastewater digital surveillance for monitoring and early detection of the COVID-19 hotspot: industry 4.0. INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY : IJEST 2023; 20:1095-1112. [PMID: 35154335 PMCID: PMC8818842 DOI: 10.1007/s13762-022-03982-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/13/2020] [Revised: 07/24/2021] [Accepted: 01/18/2022] [Indexed: 05/03/2023]
Abstract
There are a high number of COVID-19 cases per capita in the world that goes undetected including clinical diseases compatible with COVID-19. While the presence of the COVID-19 in untreated drinking water is possible, it is yet to be detected in the drinking-water supplies. COVID-19 viral fragments have been found in excrete, this call for wastewater monitoring and analysis (wastewater surveillance) of the potential health risk. This raises concern about the potential of the SARS-CoV-2 transmission via the water systems. The economic limits on the medical screening for the SARS-CoV-2 or COVID-19 worldwide are turning to wastewater-based epidemiology as great potential tools for assessing and management of the COVID-19 pandemic. Surveillance and tracking of the pathogens in the wastewater are key to the early warning system and public health strategy monitoring of the COVID-19. Currently, RT-qPCR assays is been developed for SARS-CoV-2 RNA specimen clinical testing and detection in the water system. Convectional wastewater treatment methods and disinfection are expected to eradicate the SAR-CoV-2. Chlorine, UV radiation, ozone, chloramine is been used to inactivate and disinfect the water treatment system against the SARS-CoV-2. Water management and design of the water infrastructure require major changes to accommodate climate change, water cycle, reimaging of digitalization, infrastructure and privacy protection. The water digital revolution, biosensors and nanoscale, contact tracing, knowledge management can accelerate with disruption of the COVID-19 outbreak (water-health-digital nexus).
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Affiliation(s)
- A. N. Matheri
- Department of Chemical Engineering, University of Johannesburg, Johannesburg, South Africa
| | - M. Belaid
- Department of Chemical Engineering, University of Johannesburg, Johannesburg, South Africa
| | - C. K. Njenga
- United Nation Environmental Programme, Pretoria, South Africa
| | - J. C. Ngila
- Department of Chemical Sciences, University of Johannesburg, Johannesburg, South Africa
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Wen CY, Zhao LJ, Wang Y, Wang K, Li HW, Li X, Zi M, Zeng JB. Colorimetric and photothermal dual-mode lateral flow immunoassay based on Au-Fe 3O 4 multifunctional nanoparticles for detection of Salmonella typhimurium. Mikrochim Acta 2023; 190:57. [PMID: 36652031 PMCID: PMC9847459 DOI: 10.1007/s00604-023-05645-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Accepted: 01/02/2023] [Indexed: 01/19/2023]
Abstract
Au-Fe3O4 multifunctional nanoparticles (NPs) were synthesized and integrated with lateral flow immunoassay (LFIA) for dual-mode detection of Salmonella typhimurium. The Au-Fe3O4 NPs not only combined excellent local surface plasmon resonance characteristics and superparamagnetic properties, but also exhibited good photothermal effect. In the detection, antibody-conjugated Au-Fe3O4 NPs first captured S. typhimurium from complex matrix, which was then loaded on the LFIA strip and trapped by the T-line. By observing the color bands with the naked eyes, qualitative detection was performed free of instrument. By measuring the photothermal signal, quantification was achieved with a portable infrared thermal camera. The introduction of magnetic separation achieved the enrichment and purification of target bacteria, thus enhancing the detection sensitivity and reducing interference. This dual-mode LFIA achieved a visual detection limit of 5 × 105 CFU/mL and a photothermal detection limit of 5 × 104 CFU/mL. Compared with traditional Au-based LFIA, this dual-mode LFIA increased the detection sensitivity by 2 orders of magnitude and could be directly applied to unprocessed milk sample. Besides, this dual-mode LFIA showed good reproducibility and specificity. The intra-assay and inter-assay variation coefficients were 3.0% and 7.9%, and with this dual-mode LFIA, other bacteria hardly produced distinguishable signals. Thus, the Au-Fe3O4 NPs-based LFIA has potential to increase the efficiency of pandemic prevention and control. Au-Fe3O4 nanoparticle proved to be a promising alternative reporter for LFIA, achieving multifunctions: target purification, target enrichment, visual qualitation, and instrumental quantification, which improved the limitations of traditional LFIA.
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Affiliation(s)
- Cong-Ying Wen
- College of Chemistry and Chemical Engineering, China University of Petroleum (East China), Qingdao, 266580 People’s Republic of China
| | - Ling-Jin Zhao
- College of Chemistry and Chemical Engineering, China University of Petroleum (East China), Qingdao, 266580 People’s Republic of China
| | - Ying Wang
- College of Chemistry and Chemical Engineering, China University of Petroleum (East China), Qingdao, 266580 People’s Republic of China
| | - Kun Wang
- College of Chemistry and Chemical Engineering, China University of Petroleum (East China), Qingdao, 266580 People’s Republic of China
| | - Hui-Wen Li
- College of Chemistry and Chemical Engineering, China University of Petroleum (East China), Qingdao, 266580 People’s Republic of China
| | - Xiang Li
- College of Chemistry and Chemical Engineering, China University of Petroleum (East China), Qingdao, 266580 People’s Republic of China
| | - Min Zi
- College of Chemistry and Chemical Engineering, China University of Petroleum (East China), Qingdao, 266580 People’s Republic of China
| | - Jing-Bin Zeng
- College of Chemistry and Chemical Engineering, China University of Petroleum (East China), Qingdao, 266580 People’s Republic of China
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40
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An T, Wen J, Dong Z, Zhang Y, Zhang J, Qin F, Wang Y, Zhao X. Plasmonic Biosensors with Nanostructure for Healthcare Monitoring and Diseases Diagnosis. SENSORS (BASEL, SWITZERLAND) 2022; 23:445. [PMID: 36617043 PMCID: PMC9824517 DOI: 10.3390/s23010445] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 12/20/2022] [Accepted: 12/20/2022] [Indexed: 06/17/2023]
Abstract
Nanophotonics has been widely utilized in enhanced molecularspectroscopy or mediated chemical reaction, which has major applications in the field of enhancing sensing and enables opportunities in developing healthcare monitoring. This review presents an updated overview of the recent exciting advances of plasmonic biosensors in the healthcare area. Manufacturing, enhancements and applications of plasmonic biosensors are discussed, with particular focus on nanolisted main preparation methods of various nanostructures, such as chemical synthesis, lithography, nanosphere lithography, nanoimprint lithography, etc., and describing their respective advances and challenges from practical applications of plasmon biosensors. Based on these sensing structures, different types of plasmonic biosensors are summarized regarding detecting cancer biomarkers, body fluid, temperature, gas and COVID-19. Last, the existing challenges and prospects of plasmonic biosensors combined with machine learning, mega data analysis and prediction are surveyed.
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Affiliation(s)
- Tongge An
- College of Materials and Environmental Engineering, Hangzhou Dianzi University, Hangzhou 310018, China
| | - Jiahong Wen
- The College of Electronics and Information, Hangzhou Dianzi University, Hangzhou 310018, China
- Shangyu Institute of Science and Engineering, Hangzhou Dianzi University, Shaoxing 312000, China
| | - Zhichao Dong
- College of Materials and Environmental Engineering, Hangzhou Dianzi University, Hangzhou 310018, China
| | - Yongjun Zhang
- College of Materials and Environmental Engineering, Hangzhou Dianzi University, Hangzhou 310018, China
| | - Jian Zhang
- College of Materials and Environmental Engineering, Hangzhou Dianzi University, Hangzhou 310018, China
| | - Faxiang Qin
- Institute for Composites Science Innovation, School of Materials Science and Engineering, Zhejiang University, Hangzhou 310027, China
| | - Yaxin Wang
- College of Materials and Environmental Engineering, Hangzhou Dianzi University, Hangzhou 310018, China
| | - Xiaoyu Zhao
- College of Materials and Environmental Engineering, Hangzhou Dianzi University, Hangzhou 310018, China
- Zhejiang Laboratory, Hangzhou 311100, China
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41
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Funari R, Bhalla N, Gentile L. Measuring the Radius of Gyration and Intrinsic Flexibility of Viral Proteins in Buffer Solution Using Small-Angle X-ray Scattering. ACS MEASUREMENT SCIENCE AU 2022; 2:547-552. [PMID: 36573077 PMCID: PMC9783065 DOI: 10.1021/acsmeasuresciau.2c00048] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 08/31/2022] [Accepted: 08/31/2022] [Indexed: 06/17/2023]
Abstract
Measuring structural features of proteins dispersed in buffer solution, in contrast to crystal form, is indispensable in understanding morphological characteristics of the biomolecule in a native environment. We report on the structure and apparent viscosity of unfolded α and β variants of SARS-CoV-2 spike proteins dispersed in buffer solutions. The radius of gyration of the β variant is found to be larger than that of the α variant, while the ab initio computation of one of the possible particle-like bodies is consistent with the small-angle X-ray scattering (SAXS) profiles resembling a conformation similar to the three-dimensional structure of the folded state of the corresponding α and β spike variant. However, a smaller radius of gyration with respect to the predicted folded state of 2.4 and 2.7 is observed for both α and β variants, respectively. Our work complements the structural characterization of spike proteins using cryo-electron microscopy techniques. The measurement/analysis discussed here might be useful for quick and cost-effective evaluation of several protein structures, let alone mutated viral proteins, which is useful for drug discovery/development applications.
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Affiliation(s)
- Riccardo Funari
- Department
of Physics “M. Merlin”, University
of Bari Aldo Moro, Via Amendola, 173, Bari 70125, Italy
- Institute
for Photonics and Nanotechnologies, CNR, Via Amendola, 173, Bari, 70125, Italy
| | - Nikhil Bhalla
- Nanotechnology
and Integrated Bioengineering Centre (NIBEC), School of Engineering, Ulster University, Jordanstown, Shore Road, Northern Ireland BT37 0QB, United Kingdom
- Healthcare
Technology Hub, Ulster University, Jordanstown Shore Road, Northern Ireland BT37 0QB, United Kingdom
| | - Luigi Gentile
- Department
of Chemistry, University of Bari Aldo Moro, Edoardo Orabona 4, Bari 70125, Italy
- Bari
unit,
Center for Colloid and Surface Science (CSGI), via della Lastruccia 3, Sesto Fiorentino 50019, Italy
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Damavandi AR, Mirmosayyeb O, Ebrahimi N, Zalpoor H, khalilian P, Yahiazadeh S, Eskandari N, Rahdar A, Kumar PS, Pandey S. Advances in nanotechnology versus stem cell therapy for the theranostics of multiple sclerosis disease. APPLIED NANOSCIENCE 2022. [DOI: 10.1007/s13204-022-02698-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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43
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Application of biosensors for detection of meat species: A short review. Food Control 2022. [DOI: 10.1016/j.foodcont.2022.109214] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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44
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Sinha Mahapatra P, Ganguly R, Ghosh A, Chatterjee S, Lowrey S, Sommers AD, Megaridis CM. Patterning Wettability for Open-Surface Fluidic Manipulation: Fundamentals and Applications. Chem Rev 2022; 122:16752-16801. [PMID: 36195098 DOI: 10.1021/acs.chemrev.2c00045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
Effective manipulation of liquids on open surfaces without external energy input is indispensable for the advancement of point-of-care diagnostic devices. Open-surface microfluidics has the potential to benefit health care, especially in the developing world. This review highlights the prospects for harnessing capillary forces on surface-microfluidic platforms, chiefly by inducing smooth gradients or sharp steps of wettability on substrates, to elicit passive liquid transport and higher-order fluidic manipulations without off-the-chip energy sources. A broad spectrum of the recent progress in the emerging field of passive surface microfluidics is highlighted, and its promise for developing facile, low-cost, easy-to-operate microfluidic devices is discussed in light of recent applications, not only in the domain of biomedical microfluidics but also in the general areas of energy and water conservation.
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Affiliation(s)
- Pallab Sinha Mahapatra
- Micro Nano Bio-Fluidics group, Department of Mechanical Engineering, Indian Institute of Technology Madras, Chennai600036, India
| | - Ranjan Ganguly
- Department of Power Engineering, Jadavpur University, Kolkata700098, India
| | - Aritra Ghosh
- Department of Mechanical and Industrial Engineering, University of Illinois at Chicago, Chicago, Illinois60607, United States
| | - Souvick Chatterjee
- Department of Mechanical and Industrial Engineering, University of Illinois at Chicago, Chicago, Illinois60607, United States
| | - Sam Lowrey
- Department of Physics, University of Otago, Dunedin9016, New Zealand
| | - Andrew D Sommers
- Department of Mechanical and Manufacturing Engineering, Miami University, Oxford, Ohio45056, United States
| | - Constantine M Megaridis
- Department of Mechanical and Industrial Engineering, University of Illinois at Chicago, Chicago, Illinois60607, United States
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45
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Su G, Zhu M, Li D, Xu M, Zhu Y, Zhang Y, Zhu H, Li F, Yu Y. Multiplexed lateral flow assay integrated with orthogonal CRISPR-Cas system for SARS-CoV-2 detection. SENSORS AND ACTUATORS. B, CHEMICAL 2022; 371:132537. [PMID: 36032355 PMCID: PMC9396441 DOI: 10.1016/j.snb.2022.132537] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Revised: 08/01/2022] [Accepted: 08/18/2022] [Indexed: 05/23/2023]
Abstract
The development of field-deployable detection platform amenable for multiplexed genes testing will significantly improve the efficiency and reliability during point-of-care testing (POCT) applications. In this regard, an orthogonal CRISPR-Cas-mediated multiplexed lateral flow assay (designated as OC-MLFA) is proposed for SARS-CoV-2 genome detection. Taking the advantage of activation and cleavage preferences between Cas12a and Cas13a, orthogonal (two-independent-channel signal readout) CRISPR-Cas system is investigated. Lateral flow strips with two target lines are designed to accommodate the orthogonal CRISPR system. The interference between Cas12a and Cas13a channels can be effectively eliminated via the elaborate nucleic acids and lateral flow strips design. The high preamplification efficiency from reverse transcription recombinase polymerase amplification (RT-RPA) and Cas enzyme mediated trans-cleavage process bring the sensitivity of our OC-MLFA method to 10 copies per test (30 μL). Nasopharyngeal swab clinical samples with different cycle threshold (Ct) values according to the RT-PCR method were analyzed with the proposed OC-MLFA, during which 76 out of 76 detection accuracy was obtained. Featured with the multiplexed genes detection simultaneously in one reaction and colorimetric readout through single strip, the OC-MLFA we proposed herein ensures great accuracy and efficiency, which endows promising field-deployable POCT application feasibility.
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Affiliation(s)
- Gaoxing Su
- School of Pharmacy, Nantong University, Nantong, Jiangsu 226001, China
| | - Min Zhu
- School of Pharmacy, Nantong University, Nantong, Jiangsu 226001, China
| | - Diyuan Li
- School of Pharmacy, Nantong University, Nantong, Jiangsu 226001, China
| | - Mengting Xu
- School of Pharmacy, Nantong University, Nantong, Jiangsu 226001, China
| | - Yuedong Zhu
- School of Pharmacy, Nantong University, Nantong, Jiangsu 226001, China
| | - Yan Zhang
- School of Pharmacy, Nantong University, Nantong, Jiangsu 226001, China
| | - Hongyan Zhu
- School of Pharmacy, Nantong University, Nantong, Jiangsu 226001, China
| | - Feng Li
- Department of Clinical Laboratory, Affiliated Hospital of Nantong University, Nantong 226001, Jiangsu, China
| | - Yanyan Yu
- School of Pharmacy, Nantong University, Nantong, Jiangsu 226001, China
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46
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Gu Y, Jiao L, Cao F, Liu X, Zhou Y, Yang C, Gao Z, Zhang M, Lin P, Han Y, Dong D. A Real-Time Detection Method of Hg 2+ in Drinking Water via Portable Biosensor: Using a Smartphone as a Low-Cost Micro-Spectrometer to Read the Colorimetric Signals. BIOSENSORS 2022; 12:bios12111017. [PMID: 36421135 PMCID: PMC9688040 DOI: 10.3390/bios12111017] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 11/08/2022] [Accepted: 11/09/2022] [Indexed: 05/31/2023]
Abstract
This paper reported a real-time detection strategy for Hg2+ inspired by the visible spectrophotometer that used a smartphone as a low-cost micro-spectrometer. In combination with the smartphone's camera and optical accessories, the phone's built-in software can process the received light band image and then read out the spectral data in real time. The sensor was also used to detect gold nanoparticles with an LOD of 0.14 μM, which are widely used in colorimetric biosensors. Ultimately, a gold nanoparticles-glutathione (AuNPs-GSH) conjugate was used as a probe to detect Hg2+ in water with an LOD of 1.2 nM and was applied successfully to natural mineral water, pure water, tap water, and river water samples.
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Affiliation(s)
- Yifan Gu
- College of Electronic Engineering (College of Artificial Intelligence), South China Agricultural University, Guangzhou 510642, China
- National Research Center of Intelligent Equipment for Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
| | - Leizi Jiao
- National Research Center of Intelligent Equipment for Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
| | - Fengjing Cao
- National Research Center of Intelligent Equipment for Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
| | - Xinchao Liu
- College of Electronic Engineering (College of Artificial Intelligence), South China Agricultural University, Guangzhou 510642, China
| | - Yunhai Zhou
- National Research Center of Intelligent Equipment for Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
| | - Chongshan Yang
- National Research Center of Intelligent Equipment for Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
| | - Zhen Gao
- National Research Center of Intelligent Equipment for Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
| | - Mengjie Zhang
- College of Electronic Engineering (College of Artificial Intelligence), South China Agricultural University, Guangzhou 510642, China
- National Research Center of Intelligent Equipment for Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
| | - Peng Lin
- College of Electronic Engineering (College of Artificial Intelligence), South China Agricultural University, Guangzhou 510642, China
- National Research Center of Intelligent Equipment for Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
| | - Yuxing Han
- Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
- RIOS Lab, Tsinghua University, Shenzhen 518055, China
| | - Daming Dong
- National Research Center of Intelligent Equipment for Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
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47
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Akarapipad P, Bertelson E, Pessell A, Wang TH, Hsieh K. Emerging Multiplex Nucleic Acid Diagnostic Tests for Combating COVID-19. BIOSENSORS 2022; 12:bios12110978. [PMID: 36354487 PMCID: PMC9688249 DOI: 10.3390/bios12110978] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/24/2022] [Revised: 10/26/2022] [Accepted: 10/31/2022] [Indexed: 05/29/2023]
Abstract
The COVID-19 pandemic caused by SARS-CoV-2 has drawn attention to the need for fast and accurate diagnostic testing. Concerns from emerging SARS-CoV-2 variants and other circulating respiratory viral pathogens further underscore the importance of expanding diagnostic testing to multiplex detection, as single-plex diagnostic testing may fail to detect emerging variants and other viruses, while sequencing can be too slow and too expensive as a diagnostic tool. As a result, there have been significant advances in multiplex nucleic-acid-based virus diagnostic testing, creating a need for a timely review. This review first introduces frequent nucleic acid targets for multiplex virus diagnostic tests, then proceeds to a comprehensive and up-to-date overview of multiplex assays that incorporate various detection reactions and readout modalities. The performances, advantages, and disadvantages of these assays are discussed, followed by highlights of platforms that are amenable for point-of-care use. Finally, this review points out the remaining technical challenges and shares perspectives on future research and development. By examining the state of the art and synthesizing existing development in multiplex nucleic acid diagnostic tests, this review can provide a useful resource for facilitating future research and ultimately combating COVID-19.
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Affiliation(s)
- Patarajarin Akarapipad
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Elizabeth Bertelson
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Alexander Pessell
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Tza-Huei Wang
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Kuangwen Hsieh
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
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48
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Gul I, Zhai S, Zhong X, Chen Q, Yuan X, Du Z, Chen Z, Raheem MA, Deng L, Leeansyah E, Zhang C, Yu D, Qin P. Angiotensin-Converting Enzyme 2-Based Biosensing Modalities and Devices for Coronavirus Detection. BIOSENSORS 2022; 12:bios12110984. [PMID: 36354493 PMCID: PMC9688389 DOI: 10.3390/bios12110984] [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: 09/28/2022] [Revised: 11/02/2022] [Accepted: 11/03/2022] [Indexed: 05/30/2023]
Abstract
Rapid and cost-effective diagnostic tests for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are a critical and valuable weapon for the coronavirus disease 2019 (COVID-19) pandemic response. SARS-CoV-2 invasion is primarily mediated by human angiotensin-converting enzyme 2 (hACE2). Recent developments in ACE2-based SARS-CoV-2 detection modalities accentuate the potential of this natural host-virus interaction for developing point-of-care (POC) COVID-19 diagnostic systems. Although research on harnessing ACE2 for SARS-CoV-2 detection is in its infancy, some interesting biosensing devices have been developed, showing the commercial viability of this intriguing new approach. The exquisite performance of the reported ACE2-based COVID-19 biosensors provides opportunities for researchers to develop rapid detection tools suitable for virus detection at points of entry, workplaces, or congregate scenarios in order to effectively implement pandemic control and management plans. However, to be considered as an emerging approach, the rationale for ACE2-based biosensing needs to be critically and comprehensively surveyed and discussed. Herein, we review the recent status of ACE2-based detection methods, the signal transduction principles in ACE2 biosensors and the development trend in the future. We discuss the challenges to development of ACE2-biosensors and delineate prospects for their use, along with recommended solutions and suggestions.
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Affiliation(s)
- Ijaz Gul
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
- Tsinghua-Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
| | - Shiyao Zhai
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
- Tsinghua-Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
| | - Xiaoyun Zhong
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
- Tsinghua-Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
| | - Qun Chen
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
- Tsinghua-Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
| | - Xi Yuan
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
- Tsinghua-Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
| | - Zhicheng Du
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
- Tsinghua-Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
| | - Zhenglin Chen
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
- Tsinghua-Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
| | - Muhammad Akmal Raheem
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
- Tsinghua-Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
| | - Lin Deng
- Shenzhen Bay Laboratory, Shenzhen 518132, China
| | - Edwin Leeansyah
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
- Tsinghua-Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
| | - Canyang Zhang
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
- Tsinghua-Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
| | - Dongmei Yu
- Department of Computer Science and Technology, School of Mechanical, Electrical & Information Engineering, Shandong University, Weihai 264209, China
| | - Peiwu Qin
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
- Tsinghua-Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
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El-Moghazy AY, Amaly N, Sun G, Nitin N. Development and clinical evaluation of commercial glucose meter coupled with nanofiber based immuno-platform for self-diagnosis of SARS-CoV-2 in saliva. Talanta 2022. [DOI: 10.1016/j.talanta.2022.124117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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50
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Sadique MA, Yadav S, Khare V, Khan R, Tripathi GK, Khare PS. Functionalized Titanium Dioxide Nanoparticle-Based Electrochemical Immunosensor for Detection of SARS-CoV-2 Antibody. Diagnostics (Basel) 2022; 12:2612. [PMID: 36359457 PMCID: PMC9689474 DOI: 10.3390/diagnostics12112612] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Revised: 10/22/2022] [Accepted: 10/24/2022] [Indexed: 12/05/2023] Open
Abstract
The advancement in biosensors can overcome the challenges faced by conventional diagnostic techniques for the detection of the highly infectious severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Hence, the development of an accurate, rapid, sensitive, and selective diagnostic technique can mitigate adverse health conditions caused by SARS-CoV-2. This work proposes the development of an electrochemical immunosensor based on bio-nanocomposites for the sensitive detection of SARS-CoV-2 antibodies through the differential pulse voltammetry (DPV) electroanalytical method. The facile synthesis of chitosan-functionalized titanium dioxide nanoparticles (TiO2-CS bio-nanocomposites) is performed using the sol-gel method. Characterization of the TiO2-CS bio-nanocomposite is accomplished using UV-vis spectroscopy, Raman spectroscopy, X-ray diffraction (XRD), and transmission electron microscopy (TEM). The electrochemical performance is studied using cyclic voltammetry (CV), DPV, and electrochemical impedance spectroscopy (EIS) for its electroanalytical and biosensing capabilities. The developed immunosensing platform has a high sensitivity with a wide range of detection from 50 ag mL-1 to 1 ng mL-1. The detection limit of the SARS-CoV-2 antibody in buffer media is obtained to be 3.42 ag mL-1 and the limit of quantitation (LOQ) to be 10.38 ag mL-1. The electrochemical immunosensor has high selectivity in different interfering analytes and is stable for 10 days. The results suggest that the developed electrochemical immunosensor can be applicable for real sample analysis and further high-throughput testing.
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Affiliation(s)
- Mohd Abubakar Sadique
- Industrial Waste Utilization, Nano and Biomaterials, CSIR-Advanced Materials and Processes Research Institute (AMPRI), Bhopal 462026, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
| | - Shalu Yadav
- Industrial Waste Utilization, Nano and Biomaterials, CSIR-Advanced Materials and Processes Research Institute (AMPRI), Bhopal 462026, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
| | - Vedika Khare
- School of Nanotechnology, Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal 462033, India
| | - Raju Khan
- Industrial Waste Utilization, Nano and Biomaterials, CSIR-Advanced Materials and Processes Research Institute (AMPRI), Bhopal 462026, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
| | - Gagan Kant Tripathi
- School of Nanotechnology, Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal 462033, India
| | - Purnima Swarup Khare
- School of Nanotechnology, Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal 462033, India
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