1
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Gutiérrez-Gálvez L, Seddaoui N, Fiore L, Fabiani L, García-Mendiola T, Lorenzo E, Arduini F. Functionalized N95 Face Mask with a Chemical-Free Paper-Based Collector for Exhaled Breath Analysis: SARS-CoV-2 Detection with a Printed Immunosensor as a Case Study. ACS Sens 2024. [PMID: 39093722 DOI: 10.1021/acssensors.4c00981] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/04/2024]
Abstract
Exhaled breath electrochemical sensing is a promising biomedical technology owing to its portability, painlessness, cost-effectiveness, and user-friendliness. Here, we present a novel approach for target analysis in exhaled breath by integrating a comfortable paper-based collector into an N95 face mask, providing a universal solution for analyzing several biomarkers. As a model analyte, we detected SARS-CoV-2 spike protein from the exhaled breath by sampling the target analyte into the collector, followed by its detection out of the N95 face mask using a magnetic bead-based electrochemical immunosensor. This approach was designed to avoid any contact between humans and the chemicals. To simulate human exhaled breath, untreated saliva samples were nebulized on the paper collector, revealing a detection limit of 1 ng/mL and a wide linear range of 3.7-10,000 ng/mL. Additionally, the developed immunosensor exhibited high selectivity toward the SARS-CoV-2 spike protein, compared to other airborne microorganisms, and the SARS-CoV-2 nucleocapsid protein. Accuracy assessments were conducted by analyzing the simulated breath samples spiked with varying concentrations of SARS-CoV-2 spike protein, resulting in satisfactory recovery values (ranging from 97 ± 4 to 118 ± 1%). Finally, the paper-based hybrid immunosensor was successfully applied for the detection of SARS-CoV-2 in real human exhaled breath samples. The position of the collector in the N95 mask was evaluated as well as the ability of this paper-based analytical tool to identify the positive patient.
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Affiliation(s)
- Laura Gutiérrez-Gálvez
- Departamento de Química Analítica y Análisis Instrumental, Universidad Autónoma de Madrid, Madrid 28049, Spain
| | - Narjiss Seddaoui
- Department of Chemical Science and Technologies, University of Rome "Tor Vergata", Via della Ricerca Scientifica, Rome 00133, Italy
| | - Luca Fiore
- Department of Chemical Science and Technologies, University of Rome "Tor Vergata", Via della Ricerca Scientifica, Rome 00133, Italy
- SENSE4MED S.R.L, Via Bitonto 139, Rome 00133, Italy
| | - Laura Fabiani
- Department of Chemical Science and Technologies, University of Rome "Tor Vergata", Via della Ricerca Scientifica, Rome 00133, Italy
| | - Tania García-Mendiola
- Departamento de Química Analítica y Análisis Instrumental, Universidad Autónoma de Madrid, Madrid 28049, Spain
- Institute for Advanced Research in Chemical Sciences (IAdChem), Universidad Autónoma de Madrid, Madrid 28049, Spain
| | - Encarnación Lorenzo
- Departamento de Química Analítica y Análisis Instrumental, Universidad Autónoma de Madrid, Madrid 28049, Spain
- Institute for Advanced Research in Chemical Sciences (IAdChem), Universidad Autónoma de Madrid, Madrid 28049, Spain
- IMDEA-Nanociencia. Ciudad Universitaria de Cantoblanco, Madrid 28049, Spain
| | - Fabiana Arduini
- Department of Chemical Science and Technologies, University of Rome "Tor Vergata", Via della Ricerca Scientifica, Rome 00133, Italy
- SENSE4MED S.R.L, Via Bitonto 139, Rome 00133, Italy
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2
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Chen C, Liu J, Lu J, Wang Y, Zhai J, Zhao H, Lu N. In Situ Collection and SERS Detection of Nitrite in Exhalations on Facemasks Based on Wettability Differences. ACS Sens 2024; 9:3680-3688. [PMID: 38958469 DOI: 10.1021/acssensors.4c00857] [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] [Indexed: 07/04/2024]
Abstract
As one of the common carriers of biological information, along with human urine specimens and blood, exhaled breath condensate (EBC) carries reliable and rich information about the body's metabolism to track human physiological normal/abnormal states and environmental exposures. What is more, EBC has gained extensive attention because of the convenient and nondestructive sampling. Facemasks, which act as a physical filter barrier between human exhaled breath and inhaled substances from the external environment, are safe, noninvasive, and economic devices for direct sampling of human exhaled breath and inhaled substances. Inspired by the ability of fog collection of Namib desert beetle, a strategy for in situ collecting and detecting EBC with surface-enhanced Raman scattering is illustrated. Based on the intrinsic and unique wettability differences between the squares and the surrounding area of the pattern on facemasks, the hydrophilic squares can capture exhaled droplets and spontaneously enrich the analytes and silver nanocubes (AgNCs), resulting in good repeatability in situ detection. Using R6G as the probe molecule, the minimal detectable concentration can reach as low as 10-16 M, and the relative standard deviation is less than 7%. This proves that this strategy can achieve high detection sensitivity and high detection repeatability. Meanwhile, this strategy is applicable for portable nitrite analysis in EBC and may provide an inspiration for monitoring other biomarkers in EBC.
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Affiliation(s)
- Chunning Chen
- State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun 130012, P. R. China
| | - Jiaqi Liu
- State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun 130012, P. R. China
| | - Jiaxin Lu
- State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun 130012, P. R. China
| | - Yalei Wang
- State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun 130012, P. R. China
| | - Jingtong Zhai
- State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun 130012, P. R. China
| | - Hongkun Zhao
- State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun 130012, P. R. China
| | - Nan Lu
- State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun 130012, P. R. China
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3
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Lee S, Bi L, Chen H, Lin D, Mei R, Wu Y, Chen L, Joo SW, Choo J. Recent advances in point-of-care testing of COVID-19. Chem Soc Rev 2023; 52:8500-8530. [PMID: 37999922 DOI: 10.1039/d3cs00709j] [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: 11/25/2023]
Abstract
Advances in microfluidic device miniaturization and system integration contribute to the development of portable, handheld, and smartphone-compatible devices. These advancements in diagnostics have the potential to revolutionize the approach to detect and respond to future pandemics. Accordingly, herein, recent advances in point-of-care testing (POCT) of coronavirus disease 2019 (COVID-19) using various microdevices, including lateral flow assay strips, vertical flow assay strips, microfluidic channels, and paper-based microfluidic devices, are reviewed. However, visual determination of the diagnostic results using only microdevices leads to many false-negative results due to the limited detection sensitivities of these devices. Several POCT systems comprising microdevices integrated with portable optical readers have been developed to address this issue. Since the outbreak of COVID-19, effective POCT strategies for COVID-19 based on optical detection methods have been established. They can be categorized into fluorescence, surface-enhanced Raman scattering, surface plasmon resonance spectroscopy, and wearable sensing. We introduced next-generation pandemic sensing methods incorporating artificial intelligence that can be used to meet global health needs in the future. Additionally, we have discussed appropriate responses of various testing devices to emerging infectious diseases and prospective preventive measures for the post-pandemic era. We believe that this review will be helpful for preparing for future infectious disease outbreaks.
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Affiliation(s)
- Sungwoon Lee
- Department of Chemistry, Chung-Ang University, Seoul 06974, South Korea.
| | - Liyan Bi
- School of Special Education and Rehabilitation, Binzhou Medical University, Yantai, 264003, China
| | - Hao Chen
- School of Environmental and Material Engineering, Yantai University, Yantai 264005, China
| | - Dong Lin
- School of Pharmacy, Bianzhou Medical University, Yantai, 264003, China
| | - Rongchao Mei
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Yantai 264003, China
| | - Yixuan Wu
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Yantai 264003, China
| | - Lingxin Chen
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Yantai 264003, China
- School of Pharmacy, Bianzhou Medical University, Yantai, 264003, China
| | - Sang-Woo Joo
- Department of Information Communication, Materials, and Chemistry Convergence Technology, Soongsil University, Seoul 06978, South Korea
| | - Jaebum Choo
- Department of Chemistry, Chung-Ang University, Seoul 06974, South Korea.
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4
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Yari P, Liang S, Chugh VK, Rezaei B, Mostufa S, Krishna VD, Saha R, Cheeran MCJ, Wang JP, Gómez-Pastora J, Wu K. Nanomaterial-Based Biosensors for SARS-CoV-2 and Future Epidemics. Anal Chem 2023; 95:15419-15449. [PMID: 37826859 DOI: 10.1021/acs.analchem.3c01522] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2023]
Affiliation(s)
- Parsa Yari
- Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, Texas 79409, United States
| | - Shuang Liang
- Department of Chemical Engineering and Materials Science, University of Minnesota, Minneapolis, Minnesota 55455, United States
| | - Vinit Kumar Chugh
- Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, Minnesota 55455, United States
| | - Bahareh Rezaei
- Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, Texas 79409, United States
| | - Shahriar Mostufa
- Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, Texas 79409, United States
| | - Venkatramana Divana Krishna
- Department of Veterinary Population Medicine, University of Minnesota, St. Paul, Minnesota 55108, United States
| | - Renata Saha
- Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, Minnesota 55455, United States
| | - Maxim C-J Cheeran
- Department of Veterinary Population Medicine, University of Minnesota, St. Paul, Minnesota 55108, United States
| | - Jian-Ping Wang
- Department of Chemical Engineering and Materials Science, University of Minnesota, Minneapolis, Minnesota 55455, United States
- Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, Minnesota 55455, United States
| | - Jenifer Gómez-Pastora
- Department of Chemical Engineering, Texas Tech University, Lubbock, Texas 79409, United States
| | - Kai Wu
- Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, Texas 79409, United States
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5
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Delgado-Cano D, Clemente A, Adrover-Jaume C, Vaquer A, López M, Martínez R, Roig IM, Iglesias A, Cosío BG, de la Rica R. Facemask analyses for the non-invasive detection of chronic and acute P. aeruginosa lung infections using nanoparticle-based immunoassays. Analyst 2023; 148:4837-4843. [PMID: 37622408 DOI: 10.1039/d3an00979c] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/26/2023]
Abstract
Pseudomonas aeruginosa (P. aeruginosa) is a pathogen that persistently colonizes the respiratory tract of patients with chronic lung diseases. The risk of acquiring a chronic P. aeruginosa infection can be minimized by rapidly detecting the pathogen in the patient's airways and promptly administrating adequate antibiotics. However, the rapid detection of P. aeruginosa in the lungs involves the analysis of sputum, which is a highly complex matrix that is not always available. Here, we propose an alternative diagnosis based on analyzing breath aerosols. In this approach, nanoparticle immunosensors identify bacteria adhered to the polypropylene layer of a surgical facemask that was previously worn by the patient. A polypropylene processing protocol was optimized to ensure the efficient capture and analysis of the target pathogen. The proposed analytical platform has a theoretical limit of detection of 105 CFU mL-1 in aerosolized mock samples, and a dynamic range between 105 and 108 CFU mL-1. When tested with facemasks worn by patients, the biosensors were able to detect chronic and acute P. aeruginosa lung infections, and to differentiate them from respiratory infections caused by other pathogens. The results shown here pave the way to diagnose Pseudomonas infections at the bedside, as well as to identify the progress from chronic to acute infection.
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Affiliation(s)
- David Delgado-Cano
- Multidisciplinary Sepsis Group, Hospital Universitario Son Espases, Health Research Institute of Balearic Islands (IdISBa), Palma de Mallorca, Spain.
| | - Antonio Clemente
- Multidisciplinary Sepsis Group, Hospital Universitario Son Espases, Health Research Institute of Balearic Islands (IdISBa), Palma de Mallorca, Spain.
- Department of Chemistry, University of the Balearic Islands, Palma de Mallorca, Spain
- CIBER de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III Madrid, Spain
| | - Cristina Adrover-Jaume
- Multidisciplinary Sepsis Group, Hospital Universitario Son Espases, Health Research Institute of Balearic Islands (IdISBa), Palma de Mallorca, Spain.
- Department of Chemistry, University of the Balearic Islands, Palma de Mallorca, Spain
| | - Andreu Vaquer
- Multidisciplinary Sepsis Group, Hospital Universitario Son Espases, Health Research Institute of Balearic Islands (IdISBa), Palma de Mallorca, Spain.
- Department of Chemistry, University of the Balearic Islands, Palma de Mallorca, Spain
| | - Meritxell López
- Inflamación, Reparación y Cáncer en Enfermedades Respiratorias (i-RESPIRE), Hospital Universitario Son Espases, Health Research Institute of Balearic Islands (IdISBa), Palma de Mallorca, Spain
- CIBER de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain
- Department of Respiratory Medicine, Hospital Universitario Son Espases, Palma de Mallorca, Spain
| | - Rocío Martínez
- Inflamación, Reparación y Cáncer en Enfermedades Respiratorias (i-RESPIRE), Hospital Universitario Son Espases, Health Research Institute of Balearic Islands (IdISBa), Palma de Mallorca, Spain
- Department of Respiratory Medicine, Hospital Universitario Son Espases, Palma de Mallorca, Spain
| | - Isabel M Roig
- Department of Respiratory Medicine, Hospital Universitario Son Espases, Palma de Mallorca, Spain
| | - Amanda Iglesias
- Inflamación, Reparación y Cáncer en Enfermedades Respiratorias (i-RESPIRE), Hospital Universitario Son Espases, Health Research Institute of Balearic Islands (IdISBa), Palma de Mallorca, Spain
- CIBER de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain
| | - Borja G Cosío
- Inflamación, Reparación y Cáncer en Enfermedades Respiratorias (i-RESPIRE), Hospital Universitario Son Espases, Health Research Institute of Balearic Islands (IdISBa), Palma de Mallorca, Spain
- CIBER de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain
- Department of Respiratory Medicine, Hospital Universitario Son Espases, Palma de Mallorca, Spain
| | - Roberto de la Rica
- Multidisciplinary Sepsis Group, Hospital Universitario Son Espases, Health Research Institute of Balearic Islands (IdISBa), Palma de Mallorca, Spain.
- CIBER de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III Madrid, Spain
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6
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Aloraij Y, Suaifan GARY, Shibl A, Al-Kattan K, Zourob MM. Development of Rapid Aptamer-Based Screening Assay for the Detection of Covid-19 Variants. ACS OMEGA 2023; 8:32877-32883. [PMID: 37720766 PMCID: PMC10500687 DOI: 10.1021/acsomega.3c04137] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/11/2023] [Accepted: 08/16/2023] [Indexed: 09/19/2023]
Abstract
The development of a colorimetric severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) detection assay with the WHO published ASSURED criteria is reported, in which the biosensor should have the following characteristics of (i) being affordable for low-income communities, (ii) sensitive, (iii) specific, (iv) user-friendly to be used by non-skilled personnel, (v) rapid and robust, (vi) equipment-free, and (vii) delivered to the end-users as a simple and easy to use point-of-care tool. Early viral infection detection prevents virus spread and controls the epidemic. We herein report the development of a colorimetric assay in which SARS-COV-2 variants can be detected by colorimetric observation of color on the sensing cotton swab surface. Using the developed biosensor assay, it is possible to discriminate between the various SARS-CoV-2 variants with a LOD of 100 ng/mL within 4 min including sample preconcentration and incubation step. The results illustrated the development of a SARS-CoV-2 colorimetric biosensor that can be mass produced, with low-reagent cost, and can be read-out visually in the field by nonskilled personnel.
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Affiliation(s)
- Yumna
M. Aloraij
- Department
of Chemistry, Alfaisal University, Al Zahrawi Street, Al Maather, AlTakhassusi
Rd, Riyadh 11533, Saudi Arabia
| | - Ghadeer A. R. Y. Suaifan
- Department
of Pharmaceutical Sciences, Faculty of Pharmacy, The University of Jordan, Amman 11942, Jordan
| | - Atef Shibl
- College
of Medicine, Alfaisal University, Al Zahrawi Street, Al Maather, Al
Takhassusi Rd, Riyadh 11533, Saudi Arabia
| | - Khaled Al-Kattan
- College
of Medicine, Alfaisal University, Al Zahrawi Street, Al Maather, Al
Takhassusi Rd, Riyadh 11533, Saudi Arabia
| | - Mohammed M. Zourob
- Department
of Chemistry, Alfaisal University, Al Zahrawi Street, Al Maather, AlTakhassusi
Rd, Riyadh 11533, Saudi Arabia
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7
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Liu Y, Qin Z, Zhou J, Jia X, Li H, Wang X, Chen Y, Sun Z, He X, Li H, Wang G, Chang H. Nano-biosensor for SARS-CoV-2/COVID-19 detection: methods, mechanism and interface design. RSC Adv 2023; 13:17883-17906. [PMID: 37323463 PMCID: PMC10262965 DOI: 10.1039/d3ra02560h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Accepted: 05/26/2023] [Indexed: 06/17/2023] Open
Abstract
The epidemic of coronavirus disease 2019 (COVID-19) was a huge disaster to human society. The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which led to COVID-19, has resulted in a large number of deaths. Even though the reverse transcription-polymerase chain reaction (RT-PCR) is the most efficient method for the detection of SARS-CoV-2, the disadvantages (such as long detection time, professional operators, expensive instruments, and laboratory equipment) limit its application. In this review, the different kinds of nano-biosensors based on surface-enhanced Raman scattering (SERS), surface plasmon resonance (SPR), field-effect transistor (FET), fluorescence methods, and electrochemical methods are summarized, starting with a concise description of their sensing mechanism. The different bioprobes (such as ACE2, S protein-antibody, IgG antibody, IgM antibody, and SARS-CoV-2 DNA probes) with different bio-principles are introduced. The key structural components of the biosensors are briefly introduced to give readers an understanding of the principles behind the testing methods. In particular, SARS-CoV-2-related RNA mutation detection and its challenges are also briefly described. We hope that this review will encourage readers with different research backgrounds to design SARS-CoV-2 nano-biosensors with high selectivity and sensitivity.
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Affiliation(s)
- Yansheng Liu
- School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China
- Quantum-Nano Matter and Device Lab, State Key Laboratory of Material Processing and Die and Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology Wuhan 430074 Hubei China
| | - Zhenle Qin
- School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China
| | - Jin Zhou
- School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China
| | - Xiaobo Jia
- School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China
| | - Hongli Li
- School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China
| | - Xiaohong Wang
- School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China
| | - Yating Chen
- School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China
| | - Zijun Sun
- School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China
| | - Xiong He
- School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China
| | - Hongda Li
- School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China
- Quantum-Nano Matter and Device Lab, State Key Laboratory of Material Processing and Die and Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology Wuhan 430074 Hubei China
| | - Guofu Wang
- School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China
| | - Haixin Chang
- Quantum-Nano Matter and Device Lab, State Key Laboratory of Material Processing and Die and Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology Wuhan 430074 Hubei China
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8
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Truong PL, Yin Y, Lee D, Ko SH. Advancement in COVID-19 detection using nanomaterial-based biosensors. EXPLORATION (BEIJING, CHINA) 2023; 3:20210232. [PMID: 37323622 PMCID: PMC10191025 DOI: 10.1002/exp.20210232] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Accepted: 05/11/2022] [Indexed: 06/17/2023]
Abstract
Coronavirus disease 2019 (COVID-19) pandemic has exemplified how viral growth and transmission are a significant threat to global biosecurity. The early detection and treatment of viral infections is the top priority to prevent fresh waves and control the pandemic. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been identified through several conventional molecular methodologies that are time-consuming and require high-skill labor, apparatus, and biochemical reagents but have a low detection accuracy. These bottlenecks hamper conventional methods from resolving the COVID-19 emergency. However, interdisciplinary advances in nanomaterials and biotechnology, such as nanomaterials-based biosensors, have opened new avenues for rapid and ultrasensitive detection of pathogens in the field of healthcare. Many updated nanomaterials-based biosensors, namely electrochemical, field-effect transistor, plasmonic, and colorimetric biosensors, employ nucleic acid and antigen-antibody interactions for SARS-CoV-2 detection in a highly efficient, reliable, sensitive, and rapid manner. This systematic review summarizes the mechanisms and characteristics of nanomaterials-based biosensors for SARS-CoV-2 detection. Moreover, continuing challenges and emerging trends in biosensor development are also discussed.
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Affiliation(s)
- Phuoc Loc Truong
- Laser and Thermal Engineering LabDepartment of Mechanical EngineeringGachon UniversitySeongnamKorea
| | - Yiming Yin
- New Materials InstituteDepartment of MechanicalMaterials and Manufacturing EngineeringUniversity of Nottingham Ningbo ChinaNingboChina
- Applied Nano and Thermal Science LabDepartment of Mechanical EngineeringSeoul National UniversityGwanak‐guSeoulKorea
| | - Daeho Lee
- Laser and Thermal Engineering LabDepartment of Mechanical EngineeringGachon UniversitySeongnamKorea
| | - Seung Hwan Ko
- Applied Nano and Thermal Science LabDepartment of Mechanical EngineeringSeoul National UniversityGwanak‐guSeoulKorea
- Institute of Advanced Machinery and Design (SNU‐IAMD)/Institute of Engineering ResearchSeoul National UniversityGwanak‐guSeoulKorea
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9
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Exhaled breath condensate as bioanalyte: from collection considerations to biomarker sensing. Anal Bioanal Chem 2023; 415:27-34. [PMID: 36396732 PMCID: PMC9672542 DOI: 10.1007/s00216-022-04433-5] [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: 10/17/2022] [Revised: 11/06/2022] [Accepted: 11/08/2022] [Indexed: 11/19/2022]
Abstract
Since the SARS-CoV-2 pandemic, the potential of exhaled breath (EB) to provide valuable information and insight into the health status of a person has been revisited. Mass spectrometry (MS) has gained increasing attention as a powerful analytical tool for clinical diagnostics of exhaled breath aerosols (EBA) and exhaled breath condensates (EBC) due to its high sensitivity and specificity. Although MS will continue to play an important role in biomarker discovery in EB, its use in clinical setting is rather limited. EB analysis is moving toward online sampling with portable, room temperature operable, and inexpensive point-of-care devices capable of real-time measurements. This transition is happening due to the availability of highly performing biosensors and the use of wearable EB collection tools, mostly in the form of face masks. This feature article will outline the last developments in the field, notably the novel ways of EBA and EBC collection and the analytical aspects of the collected samples. The inherit non-invasive character of the sample collection approach might open new doors for efficient ways for a fast, non-invasive, and better diagnosis.
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10
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Li D, Sun C, Mei X, Yang L. Achieving broad availability of SARS-CoV-2 detections via smartphone-based analysis. Trends Analyt Chem 2023; 158:116878. [PMID: 36506266 PMCID: PMC9728015 DOI: 10.1016/j.trac.2022.116878] [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: 08/15/2022] [Revised: 12/01/2022] [Accepted: 12/06/2022] [Indexed: 12/13/2022]
Abstract
With the development of COVID-19, widely available tests are in great demand. Naked-eye SARS-CoV-2 test kits have recently been developed as home tests, but their sensitivity and accuracy are sometimes limited. Smartphones can convert various signals into digital information, potentially improving the sensitivity and accuracy of these home tests. Herein, we summarize smartphone-based detections for SARS-CoV-2. Optical detections of non-nucleic acids using various sensors and portable imaging systems, as well as nucleic acid analyses based on LAMP, CRISP, CATCH, and biosensors are discussed. Furthermore, different electrochemical detections were compared. We show results obtained using relatively complex equipment, complicated programming procedures, or custom smartphone apps, and describe methods for obtaining information with only simple setups and free software on smartphones. Then, the combined costs of typical smartphone-based detections are evaluated. Finally, the prospect of improving smartphone-based strategies to achieve broad availability of SARS-CoV-2 detection is proposed.
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Affiliation(s)
- Dan Li
- Jinzhou Medical University, Jinzhou, China
| | - Cai Sun
- AECC Shenyang Liming Aero-Engine Co, Ltd., Shenyang, China
| | - Xifan Mei
- Jinzhou Medical University, Jinzhou, China,Corresponding author
| | - Liqun Yang
- NHC Key Laboratory of Reproductive Health and Medical Genetics (China Medical University), Liaoning Research Institute of Family Planning (The Affiliated Reproductive Hospital of China Medical University), Shenyang, China,Corresponding author
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11
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Gholizadeh O, Yasamineh S, Amini P, Afkhami H, Delarampour A, Akbarzadeh S, Karimi Matloub R, Zahedi M, Hosseini P, Hajiesmaeili M, Poortahmasebi V. Therapeutic and diagnostic applications of nanoparticles in the management of COVID-19: a comprehensive overview. Virol J 2022; 19:206. [PMID: 36463213 PMCID: PMC9719161 DOI: 10.1186/s12985-022-01935-7] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Accepted: 11/25/2022] [Indexed: 12/04/2022] Open
Abstract
In December 2019, Coronavirus Disease 2019 (COVID-19) was reported in Wuhan, China. Comprehensive strategies for quick identification, prevention, control, and remedy of COVID-19 have been implemented until today. Advances in various nanoparticle-based technologies, including organic and inorganic nanoparticles, have created new perspectives in this field. These materials were extensively used to control COVID-19 because of their specific attribution to preparing antiviral face masks, various safety sensors, etc. In this review, the most current nanoparticle-based technologies, applications, and achievements against the coronavirus were summarized and highlighted. This paper also offers nanoparticle preventive, diagnostic, and treatment options to combat this pandemic.
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Affiliation(s)
- Omid Gholizadeh
- Department of Bacteriology and Virology, Faculty of Medical Sciences, Tabriz University of Medical Sciences, Tabriz, Iran
- Research Center for Clinical Virology, Tehran University of Medical Sciences, Tehran, Iran
| | - Saman Yasamineh
- Young Researchers and Elite Club, Tabriz Branch, Islamic Azad University, Tabriz, Iran
| | - Parya Amini
- Department of Microbiology, School of Medicine, Yasuj University of Medical Sciences, Yasuj, Iran
| | - Hamed Afkhami
- Department of Medical Microbiology, Faculty of Medicine, Shahed University of Medical Science, Tehran, Iran
| | - Abbasali Delarampour
- Microbiology Department, School of Medicine, Zahedan University of Medical Sciences, Zahedan, Iran
| | - Sama Akbarzadeh
- Department of Animal Biology, Faculty of Natural Science, University of Tabriz, Tabriz, Iran
| | | | - Mahlagha Zahedi
- Department of Pathology, Faculty of Medicine, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
| | - Parastoo Hosseini
- Research Center for Clinical Virology, Tehran University of Medical Sciences, Tehran, Iran
- Department of Virology, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Mehrnaz Hajiesmaeili
- Department of Microbiology, Faculty of Medicine, Babol University of Medical Sciences, Babol, Iran
| | - Vahdat Poortahmasebi
- Department of Bacteriology and Virology, Faculty of Medical Sciences, Tabriz University of Medical Sciences, Tabriz, Iran.
- Research Center for Clinical Virology, Tehran University of Medical Sciences, Tehran, Iran.
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12
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Preethi M, Roy L, Lahkar S, Borse V. Outlook of various diagnostics and nanodiagnostic techniques for COVID-19. BIOSENSORS & BIOELECTRONICS: X 2022; 12:100276. [PMID: 36345412 PMCID: PMC9632232 DOI: 10.1016/j.biosx.2022.100276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 10/15/2022] [Accepted: 10/26/2022] [Indexed: 05/06/2023]
Abstract
The sudden outbreak of the coronavirus disease 2019 (COVID-19) pandemic has brought to the fore the existing threat of disease-causing pathogens that affect public health all over the world. It has left the best healthcare systems struggling to contain the spread of disease and its consequences. Under challenging circumstances, several innovative technologies have emerged that facilitated quicker diagnosis and treatment. Nanodiagnostic devices are biosensing platforms developed using nanomaterials such as nanoparticles, nanotubes, nanowires, etc. These devices have the edge over conventional techniques such as reverse transcription-polymerase chain reaction (RT-PCR) because of their ease of use, quicker analysis, possible miniaturization, and scope for use in point-of-care (POC) treatment. This review discusses the techniques currently used for COVID-19 diagnosis, emphasizing nanotechnology-based diagnostic devices. The commercialized nanodiagnostic devices in various research and development stages are also reviewed. The advantages of nanodiagnostic devices over other techniques are discussed, along with their limitations. Additionally, the important implications of the utility of nanodiagnostic devices in COVID-19, their prospects for future development for use in clinical and POC settings, and personalized healthcare are also discussed.
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Affiliation(s)
- Mosam Preethi
- NanoBioSens Lab, Department of Medical Devices, National Institute of Pharmaceutical Education & Research (NIPER) Hyderabad, Hyderabad, 500037, Telangana, India
| | - Lavanika Roy
- NanoBioSens Lab, Department of Medical Devices, National Institute of Pharmaceutical Education & Research (NIPER) Hyderabad, Hyderabad, 500037, Telangana, India
| | - Sukanya Lahkar
- NanoBioSens Lab, Department of Medical Devices, National Institute of Pharmaceutical Education & Research (NIPER) Hyderabad, Hyderabad, 500037, Telangana, India
| | - Vivek Borse
- NanoBioSens Lab, Department of Medical Devices, National Institute of Pharmaceutical Education & Research (NIPER) Hyderabad, Hyderabad, 500037, Telangana, India
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13
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Zakrzewska A, Haghighat Bayan MA, Nakielski P, Petronella F, De Sio L, Pierini F. Nanotechnology Transition Roadmap toward Multifunctional Stimuli-Responsive Face Masks. ACS APPLIED MATERIALS & INTERFACES 2022; 14:46123-46144. [PMID: 36161869 DOI: 10.1021/acsami.2c10335] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
In recent times, the use of personal protective equipment, such as face masks or respirators, is becoming more and more critically important because of common pollution; furthermore, face masks have become a necessary element in the global fight against the COVID-19 pandemic. For this reason, the main mission of scientists has become the development of face masks with exceptional properties that will enhance their performance. The versatility of electrospun polymer nanofibers has determined their suitability as a material for constructing "smart" filter media. This paper provides an overview of the research carried out on nanofibrous filters obtained by electrospinning. The progressive development of the next generation of face masks whose unique properties can be activated in response to a specific external stimulus is highlighted. Thanks to additional components incorporated into the fiber structure, filters can, for example, acquire antibacterial or antiviral properties, self-sterilize the structure, and store the energy generated by users. Despite the discovery of several fascinating possibilities, some of them remain unexplored. Stimuli-responsive filters have the potential to become products of large-scale availability and great importance to society as a whole.
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Affiliation(s)
- Anna Zakrzewska
- Department of Biosystems and Soft Matter, Institute of Fundamental Technological Research, Polish Academy of Sciences, ul. Pawińskiego 5B, Warsaw 02-106, Poland
| | - Mohammad Ali Haghighat Bayan
- Department of Biosystems and Soft Matter, Institute of Fundamental Technological Research, Polish Academy of Sciences, ul. Pawińskiego 5B, Warsaw 02-106, Poland
| | - Paweł Nakielski
- Department of Biosystems and Soft Matter, Institute of Fundamental Technological Research, Polish Academy of Sciences, ul. Pawińskiego 5B, Warsaw 02-106, Poland
| | - Francesca Petronella
- Institute of Crystallography CNR-IC, National Research Council of Italy, Via Salaria Km 29.300, Monterotondo 00015, Rome Italy
| | - Luciano De Sio
- Department of Medico-Surgical Sciences and Biotechnologies, Research Center for Biophotonics, Sapienza University of Rome, Corso della Repubblica 79, Latina 04100, Italy
| | - Filippo Pierini
- Department of Biosystems and Soft Matter, Institute of Fundamental Technological Research, Polish Academy of Sciences, ul. Pawińskiego 5B, Warsaw 02-106, Poland
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14
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Tessaro L, Aquino A, Panzenhagen P, Joshi N, Conte-Junior CA. A systematic review of the advancement on colorimetric nanobiosensors for SARS-CoV-2 detection. J Pharm Biomed Anal 2022; 222:115087. [PMID: 36206693 PMCID: PMC9523903 DOI: 10.1016/j.jpba.2022.115087] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Revised: 09/17/2022] [Accepted: 09/28/2022] [Indexed: 11/15/2022]
Abstract
The current pandemic of the acute severe respiratory syndrome coronavirus 2 (SARS-CoV-2) killed about 6.4 million and infected more than 600 million individuals by august of 2022, and researchers worldwide are searching for fast and selective approaches for this virus detection. Colorimetric biosensors are an excellent alternative because they are sensitive, simple, fast, and low-cost for rapid detection of SARS-CoV-2 compared to standard Enzyme-linked immunosorbent assay (ELISA) and Polymerase Chain Reaction (PCR) techniques. This study systematically searched and reviewed literature data related to colorimetric biosensors in detecting SARS-CoV-2 viruses, recovered from the Scopus (n = 16), Web of Science (n = 19), PubMed (n = 19), and Science Direct (n = 17) databases totalizing n = 71 articles. Data were analyzed for the type of nanomaterial, biorecognition material at the detection limit (LOD), and devices designed for diagnostics. The most applied nanomaterial were gold nanoparticles, in their original form and hybrid in quantum dots and core-shell. In addition, we show high specificity in point-of-care (POC) diagnostic devices as a faster and cheaper alternative for clinical diagnosis. Finally, the highlights of the colorimetric biosensor developed for diagnostic devices applied in swabs, surgical masks, and lateral flow immunoassays were presented.
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Affiliation(s)
- Leticia Tessaro
- Analytical and Molecular Laboratorial Center (CLAn), Institute of Chemistry (IQ), Federal University of Rio de Janeiro (UFRJ), Cidade Universitária, Rio de Janeiro, RJ 21941-909, Brazil; Center for Food Analysis (NAL), Technological Development Support Laboratory (LADETEC), Federal University of Rio de Janeiro (UFRJ), University City, Rio de Janeiro, RJ, Brazil; Laboratory of Advanced Analysis in Biochemistry and Molecular Biology (LAABBM), Department of Biochemistry, Federal University of Rio de Janeiro (UFRJ), University City, Rio de Janeiro, RJ, Brazil; Nanotechnology Network, Carlos Chagas Filho Research Support Foundation of the State of Rio de Janeiro (FAPERJ), Rio de Janeiro, RJ, Brazil; Post-Graduation Program of Chemistry (PGQu), Institute of chemistry (IQ), Federal University of Rio de Janeiro (UFRJ), University City, Rio de Janeiro, RJ, Brazil.
| | - Adriano Aquino
- Analytical and Molecular Laboratorial Center (CLAn), Institute of Chemistry (IQ), Federal University of Rio de Janeiro (UFRJ), Cidade Universitária, Rio de Janeiro, RJ 21941-909, Brazil; Center for Food Analysis (NAL), Technological Development Support Laboratory (LADETEC), Federal University of Rio de Janeiro (UFRJ), University City, Rio de Janeiro, RJ, Brazil; Laboratory of Advanced Analysis in Biochemistry and Molecular Biology (LAABBM), Department of Biochemistry, Federal University of Rio de Janeiro (UFRJ), University City, Rio de Janeiro, RJ, Brazil; Nanotechnology Network, Carlos Chagas Filho Research Support Foundation of the State of Rio de Janeiro (FAPERJ), Rio de Janeiro, RJ, Brazil; Post-Graduation Program of Chemistry (PGQu), Institute of chemistry (IQ), Federal University of Rio de Janeiro (UFRJ), University City, Rio de Janeiro, RJ, Brazil
| | - Pedro Panzenhagen
- Analytical and Molecular Laboratorial Center (CLAn), Institute of Chemistry (IQ), Federal University of Rio de Janeiro (UFRJ), Cidade Universitária, Rio de Janeiro, RJ 21941-909, Brazil; Center for Food Analysis (NAL), Technological Development Support Laboratory (LADETEC), Federal University of Rio de Janeiro (UFRJ), University City, Rio de Janeiro, RJ, Brazil; Laboratory of Advanced Analysis in Biochemistry and Molecular Biology (LAABBM), Department of Biochemistry, Federal University of Rio de Janeiro (UFRJ), University City, Rio de Janeiro, RJ, Brazil; Nanotechnology Network, Carlos Chagas Filho Research Support Foundation of the State of Rio de Janeiro (FAPERJ), Rio de Janeiro, RJ, Brazil
| | - Nirav Joshi
- Analytical and Molecular Laboratorial Center (CLAn), Institute of Chemistry (IQ), Federal University of Rio de Janeiro (UFRJ), Cidade Universitária, Rio de Janeiro, RJ 21941-909, Brazil; Center for Food Analysis (NAL), Technological Development Support Laboratory (LADETEC), Federal University of Rio de Janeiro (UFRJ), University City, Rio de Janeiro, RJ, Brazil; Laboratory of Advanced Analysis in Biochemistry and Molecular Biology (LAABBM), Department of Biochemistry, Federal University of Rio de Janeiro (UFRJ), University City, Rio de Janeiro, RJ, Brazil; Nanotechnology Network, Carlos Chagas Filho Research Support Foundation of the State of Rio de Janeiro (FAPERJ), Rio de Janeiro, RJ, Brazil
| | - Carlos Adam Conte-Junior
- Analytical and Molecular Laboratorial Center (CLAn), Institute of Chemistry (IQ), Federal University of Rio de Janeiro (UFRJ), Cidade Universitária, Rio de Janeiro, RJ 21941-909, Brazil; Center for Food Analysis (NAL), Technological Development Support Laboratory (LADETEC), Federal University of Rio de Janeiro (UFRJ), University City, Rio de Janeiro, RJ, Brazil; Laboratory of Advanced Analysis in Biochemistry and Molecular Biology (LAABBM), Department of Biochemistry, Federal University of Rio de Janeiro (UFRJ), University City, Rio de Janeiro, RJ, Brazil; Nanotechnology Network, Carlos Chagas Filho Research Support Foundation of the State of Rio de Janeiro (FAPERJ), Rio de Janeiro, RJ, Brazil; Post-Graduation Program of Chemistry (PGQu), Institute of chemistry (IQ), Federal University of Rio de Janeiro (UFRJ), University City, Rio de Janeiro, RJ, Brazil.
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15
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Shirvaliloo M, Sheervalilou R, Ahmadpour E, Safiri S, Bannazadeh Baghi H. Diagnostic accuracy of clinically applied nanoparticle-based biosensors at detecting SARS-CoV-2 RNA and surface proteins in pharyngeal swabs compared to RT-PCR as a reference test. Expert Rev Mol Diagn 2022; 22:881-894. [PMID: 36224104 DOI: 10.1080/14737159.2022.2135434] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
INTRODUCTION Nanoparticle-based biosensors (NPBs) are point-of-care diagnostic platforms that can be used for detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) with high accuracy. AREAS COVERED EBSCOhost Web, Embase, ProQuest, PubMed/MEDLINE, Scopus, Web of Science, and WHO Global Literature on Coronavirus Disease 2019 (COVID-19) were searched for relevant records published from 1 November 2019 to 30 April 2022. Records reporting original data on the accuracy of clinically applied nanoparticle-based biosensors at detecting SARS-CoV-2 RNA and surface proteins from pharyngeal swab specimens were considered. Findings were reported based on the PRISMA 2020 statement. The QUADAS-2 tool was used for assessment of quality and risk of bias among the included studies. EXPERT OPINION A total of 50 relevant records were identified, of which 13 were included. The included studies explored the diagnostic performance of 13 clinically applied distinct nanoparticle-based biosensors in a total of 789 pharyngeal swabs collected from 376 COVID-19 patients and 413 otherwise healthy individuals. The mean sensitivity, specificity, and accuracy were 97.07%, 94.43%, and 96.91%, respectively, in comparison to RT-qPCR as the reference test. Considering their ease-of-operation, portability, low-cost manufacturing, NPBs could be considered suitable candidate diagnostic platforms for substituting RT-qPCR.
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Affiliation(s)
- Milad Shirvaliloo
- Infectious and Tropical Diseases Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.,Future Science Group, Unitec House, 2 Albert Place, London, N3 1QB, UK
| | | | - Ehsan Ahmadpour
- Infectious and Tropical Diseases Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.,Department of Parasitology and Mycology, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Saeid Safiri
- Neurosciences Research Center, Aging Research Institute, Tabriz University of Medical Sciences, Tabriz, Iran.,Tuberculosis and Lung Disease Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Hossein Bannazadeh Baghi
- Infectious and Tropical Diseases Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.,Department of Microbiology, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
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16
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Forecasting the Post-Pandemic Effects of the SARS-CoV-2 Virus Using the Bullwhip Phenomenon Alongside Use of Nanosensors for Disease Containment and Cure. MATERIALS 2022; 15:ma15145078. [PMID: 35888544 PMCID: PMC9317545 DOI: 10.3390/ma15145078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/28/2022] [Revised: 07/07/2022] [Accepted: 07/11/2022] [Indexed: 11/16/2022]
Abstract
The COVID-19 pandemic has the tendency to affect various organizational paradigm alterations, which civilization hasyet to fully comprehend. Personal to professional, individual to corporate, and across most industries, the spectrum of transformations is vast. Economically, the globe has never been more intertwined, and it has never been subjected to such widespread disruption. While many people have felt and acknowledged the pandemic’s short-term repercussions, the resultant paradigm alterations will certainly have long-term consequences with an unknown range and severity. This review paper aims at acknowledging various approaches for the prevention, detection, and diagnosis of the SARS-CoV-2 virus using nanomaterials as a base material. A nanostructure is a material classification based on dimensionality, in proportion to the characteristic diameter and surface area. Nanoparticles, quantum dots, nanowires (NW), carbon nanotubes (CNT), thin films, and nanocomposites are some examples of various dimensions, each acting as a single unit, in terms of transport capacities. Top-down and bottom-up techniques are used to fabricate nanomaterials. The large surface-to-volume ratio of nanomaterials allows one to create extremely sensitive charge or field sensors (electrical sensors, chemical sensors, explosives detection, optical sensors, and gas sensing applications). Nanowires have potential applications in information and communication technologies, low-energy lightning, and medical sensors. Carbon nanotubes have the best environmental stability, electrical characteristics, and surface-to-volume ratio of any nanomaterial, making them ideal for bio-sensing applications. Traditional commercially available techniques have focused on clinical manifestations, as well as molecular and serological detection equipment that can identify the SARS-CoV-2 virus. Scientists are expressing a lot of interest in developing a portable and easy-to-use COVID-19 detection tool. Several unique methodologies and approaches are being investigated as feasible advanced systems capable of meeting the demands. This review article attempts to emphasize the pandemic’s aftereffects, utilising the notion of the bullwhip phenomenon’s short-term and long-term effects, and it specifies the use of nanomaterials and nanosensors for detection, prevention, diagnosis, and therapy in connection to the SARS-CoV-2.
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17
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Russell SM, Alba-Patiño A, Vaquer A, Clemente A, de la Rica R. Improving the Quantification of Colorimetric Signals in Paper-Based Immunosensors with an Open-Source Reader. SENSORS 2022; 22:s22051880. [PMID: 35271026 PMCID: PMC8914853 DOI: 10.3390/s22051880] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Revised: 02/22/2022] [Accepted: 02/23/2022] [Indexed: 02/01/2023]
Abstract
Measuring the colorimetric signals produced by the biospecific accumulation of colorimetric probes and recording the results is a key feature for next-generation paper-based rapid tests. Manual processing of these tests is time-consuming and prone to a loss of accuracy when interpreting faint and patchy signals. Proprietary, closed-source readers and software companies offering automated smartphone-based assay readings have both been criticized for interoperability issues. Here, we introduce a minimal reader prototype composed of open-source hardware and open-source software that has the benefits of automatic assay quantification while avoiding the interoperability issues associated with closed-source readers. An image-processing algorithm was developed to automate the selection of an optimal region of interest and measure the average pixel intensity. When used to quantify signals produced by lateral flow immunoassays for detecting antibodies against SARS-CoV-2, results obtained with the proposed algorithm were comparable to those obtained with a manual method but with the advantage of improving the precision and accuracy when quantifying small spots or faint and patchy signals.
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Affiliation(s)
- Steven M. Russell
- Multidisciplinary Sepsis Group, Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain; (A.A.-P.); (A.V.); (R.d.l.R.)
- Correspondence: (S.M.R.); (A.C.)
| | - Alejandra Alba-Patiño
- Multidisciplinary Sepsis Group, Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain; (A.A.-P.); (A.V.); (R.d.l.R.)
- Chemistry Department, University of the Balearic Islands, 07122 Palma de Mallorca, Spain
| | - Andreu Vaquer
- Multidisciplinary Sepsis Group, Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain; (A.A.-P.); (A.V.); (R.d.l.R.)
- Chemistry Department, University of the Balearic Islands, 07122 Palma de Mallorca, Spain
| | - Antonio Clemente
- Multidisciplinary Sepsis Group, Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain; (A.A.-P.); (A.V.); (R.d.l.R.)
- Correspondence: (S.M.R.); (A.C.)
| | - Roberto de la Rica
- Multidisciplinary Sepsis Group, Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain; (A.A.-P.); (A.V.); (R.d.l.R.)
- CIBER de Enfermedades Infecciosas (CIBERINFEC), 28029 Madrid, Spain
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18
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Albaz AA, Rafeeq MM, Sain ZM, Almutairi WA, Alamri AS, Aloufi AH, Almalki WH, Tarique M. Nanotechnology-based approaches in the fight against SARS-CoV-2. AIMS Microbiol 2022; 7:368-398. [PMID: 35071938 PMCID: PMC8712532 DOI: 10.3934/microbiol.2021023] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Accepted: 10/07/2021] [Indexed: 12/14/2022] Open
Abstract
The COVID-19 pandemic caused by highly-infectious virus namely severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has resulted in infection of millions of individuals and deaths across the world. The need of an hour is to find the innovative solution for diagnosis, prevention, and cure of the COVID-19 disease. Nanotechnology is emerging as one of the important tool for the same. In the present review we discuss the applications of nanotechnology-based approaches that are being implemented to speed up the development of diagnostic kits for SARS-CoV-2, development of personal protective equipments, and development of therapeutics of COVID-19 especially the vaccine development.
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Affiliation(s)
- Alrayan Abass Albaz
- Molecular Medicine Genetics, Department of Oncology and Human Metabolism, the Medical School, University of Sheffield, Beech Hill Road, Sheffield, S10 2RX, United Kingdom
| | - Misbahuddin M Rafeeq
- Department of Pharmacology, Faculty of Medicine, Rabigh. King Abdulaziz University. Jeddah, 21589, KSA
| | - Ziaullah M Sain
- Department of Microbiology, Faculty of Medicine, Rabigh. King Abdulaziz University, Jeddah, KSA 21589
| | - Wael Abdullah Almutairi
- Department of Respiratory Services, Ministry of National Guard Hospital and Health Affairs (MNGHA) P.O. box 22490, kingdom of Saudi Arabia
| | - Ali Saeed Alamri
- Molecular Pathology Lab Department of Pathology and Laboratory Medicine, Ministry of National Guard Hospital and Health Affairs (MNGHA), P.O. box 22490, Kingdom of Saudi Arabia
| | - Ahmed Hamdan Aloufi
- Department of Pathology and Laboratory Medicine, Ministry of National Guard-Health Affairs P.O. box 22490, Kingdom of Saudi Arabia
| | - Waleed Hassan Almalki
- Department of Pharmacology and Toxicology, Umm Al-Qura University, Makkah, Kingdom of Saudi Arabia
| | - Mohammed Tarique
- Center for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, Jamia Nagar, New Delhi-110025, India
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19
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Deep Learning Models for Multiple Face Mask Detection under a Complex Big Data Environment. PROCEDIA COMPUTER SCIENCE 2022; 215:706-712. [PMID: 36618030 PMCID: PMC9803366 DOI: 10.1016/j.procs.2022.12.072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
The Covid-19 (coronavirus) pandemic creates a worldwide health crisis. According to the WHO, the effective protection system is wearing a face mask in public places. Many studies proved that carrying a face mask is also one of the precautions to decrease the possibility of viral transmission. Strict monitoring of face mask being worn by people is now enforced in many countries. Manual observation and monitoring is quite tedious. Hence, automated systems have been researched using well-kwown face mask detection methods. However, this research paper, deals with some deep learning models which can be effectively used to detect multiple face masks in a crowded environment when the amount of incoming data from sensors is huge or in otherwise stated to a Big data problem. Hence, standalone face detection models are not quite suited. Deep learning models are required in such Big data scenario which forms the essence of this study.
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