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Fotouhi M, Seidi S, Razeghi Y, Torfinezhad S. A dual-mode assay kit using a portable potentiostat connected to a smartphone via Bluetooth communication and a potential-power angle-based paper device susceptible for low-cost point-of-care testing of iodide and dopamine. Anal Chim Acta 2024; 1287:342127. [PMID: 38182351 DOI: 10.1016/j.aca.2023.342127] [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: 09/15/2023] [Revised: 12/04/2023] [Accepted: 12/08/2023] [Indexed: 01/07/2024]
Abstract
BACKGROUND Considering that the brain controls most of the body's activities, it is very important to measure the factors affecting its function, such as dopamine and iodide. Due to the growing population in the world, it is necessary to provide fast, cheap and accurate methods with the capability of on-site analysis and without the need for invasive sampling and operator skill. As a result, there is a strong desire to replace laboratory instruments with small sensors for point-of-care testing. Paper-based analytical devices (PADs) are one of the popular zero-cost approaches to achieve this goal. RESULTS We developed a simple and disposable diagnostic paper system based on electroanalytical and potential-power angle-based methods. First, we prepared an angle-based analytical system capable of performing semi-quantitative iodide analysis simply by reading the colored angle traveled. This system design is based on a channel containing complex reagents and two pencil-drawn electrodes to apply a constant voltage accelerating the anions migration. Meanwhile, a three-electrode system based on conductive pencil graphite is developed to measure dopamine concentration based on linear sweep voltammetry. For the quantitative analysis, the voltammetric data was wirelessly transmitted to a mobile device via Bluetooth communication. In this context, a power supply providing the required voltage for the migration of iodide ions, a portable potentiostat system, and a mobile application for measuring dopamine were developed. The calibration curves for I- and dopamine range from 3.5 × 10-4-47.0 × 10-4 and 10.0 × 10-6-1000.0 × 10-6 mol L-1 with LODs of 2.3 × 10-4 and 5.0 × 10-6 mol L-1, respectively. SIGNIFICANCE AND NOVELTY A new portable dual-mode voltage-assisted integrated PAD platform was designed for iodide and dopamine analysis. The characteristics of this device allow non-experts to carry out in-field analysis using sub-100 μL saliva sample with a time-to-result of <10 min along with reducing the overall cost and operational complexity.
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Affiliation(s)
- Mina Fotouhi
- Department of Analytical Chemistry, Faculty of Chemistry, K.N. Toosi University of Technology, P.O. Box 16315-1618, Postal Code 15418-49611, Tehran, Iran; Nanomaterial, Separation and Trace Analysis Research Lab, K.N. Toosi University of Technology, P.O. Box 16315-1618, Postal Code 15418-49611, Tehran, Iran
| | - Shahram Seidi
- Department of Analytical Chemistry, Faculty of Chemistry, K.N. Toosi University of Technology, P.O. Box 16315-1618, Postal Code 15418-49611, Tehran, Iran; Nanomaterial, Separation and Trace Analysis Research Lab, K.N. Toosi University of Technology, P.O. Box 16315-1618, Postal Code 15418-49611, Tehran, Iran.
| | - Yasaman Razeghi
- Department of Analytical Chemistry, Faculty of Chemistry, K.N. Toosi University of Technology, P.O. Box 16315-1618, Postal Code 15418-49611, Tehran, Iran; Nanomaterial, Separation and Trace Analysis Research Lab, K.N. Toosi University of Technology, P.O. Box 16315-1618, Postal Code 15418-49611, Tehran, Iran
| | - Shahab Torfinezhad
- Faculty of Electrical Engineering, K.N. Toosi University of Technology, Tehran, Iran
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Kim YJ, Min J. Advances in nanobiosensors during the COVID-19 pandemic and future perspectives for the post-COVID era. NANO CONVERGENCE 2024; 11:3. [PMID: 38206526 PMCID: PMC10784265 DOI: 10.1186/s40580-023-00410-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 12/07/2023] [Indexed: 01/12/2024]
Abstract
The unprecedented threat of the highly contagious virus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes exponentially increased infections of coronavirus disease 2019 (COVID-19), highlights the weak spots of the current diagnostic toolbox. In the midst of catastrophe, nanobiosensors offer a new opportunity as an alternative tool to fill a gap among molecular tests, rapid antigen tests, and serological tests. Nanobiosensors surpass the potential of antigen tests because of their enhanced sensitivity, thus enabling us to see antigens as stable and easy-to-access targets. During the first three years of the COVID-19 pandemic, a substantial number of studies have reported nanobiosensors for the detection of SARS-CoV-2 antigens. The number of articles on nanobiosensors and SARS-CoV-2 exceeds the amount of nanobiosensor research on detecting previous infectious diseases, from influenza to SARS-CoV and MERS-CoV. This unprecedented publishing pace also implies the significance of SARS-CoV-2 and the present pandemic. In this review, 158 studies reporting nanobiosensors for detecting SARS-CoV-2 antigens are collected to discuss the current challenges of nanobiosensors using the criteria of point-of-care (POC) diagnostics along with COVID-specific issues. These advances and lessons during the pandemic pave the way for preparing for the post-COVID era and potential upcoming infectious diseases.
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Affiliation(s)
- Young Jun Kim
- School of Integrative Engineering, Chung-Ang University, Heukseok-Dong, Dongjak-Gu, Seoul, 06974, Republic of Korea
| | - Junhong Min
- School of Integrative Engineering, Chung-Ang University, Heukseok-Dong, Dongjak-Gu, Seoul, 06974, Republic of Korea.
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Zeid AM, Mostafa IM, Lou B, Xu G. Advances in miniaturized nanosensing platforms for analysis of pathogenic bacteria and viruses. LAB ON A CHIP 2023; 23:4160-4172. [PMID: 37668185 DOI: 10.1039/d3lc00674c] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/06/2023]
Abstract
Pathogenic bacteria and viruses are the main causes of infectious diseases all over the world. Early diagnosis of such infectious diseases is a critical step in management of their spread and treatment of the infection in its early stages. Therefore, the innovation of smart sensing platforms for point-of-care diagnosis of life-threatening infectious diseases such as COVID-19 is a prerequisite to isolate the patients and provide them with suitable treatment strategies. The developed diagnostic sensors should be highly sensitive, specific, ultrafast, portable, cheap, label-free, and selective. In recent years, different nanosensors have been developed for the detection of bacterial and viral pathogens. We focus here on label-free miniaturized nanosensing platforms that were efficiently applied for pathogenic detection in biological matrices. Such devices include nanopore sensors and nanostructure-integrated lab-on-a-chip sensors that are characterized by portability, simplicity, cost-effectiveness, and ultrafast analysis because they avoid the time-consuming sample preparation steps. Furthermore, nanopore-based sensors could afford single-molecule counting of viruses in biological specimens, yielding high-sensitivity and high-accuracy detection. Moreover, non-invasive nanosensors that are capable of detecting volatile organic compounds emitted from the diseased organ to the skin, urine, or exhaled breath were also reviewed. The merits and applications of all these nanosensors for analysis of pathogenic bacteria and viruses in biological matrices will be discussed in detail, emphasizing the importance of artificial intelligence in advancing specific nanosensors.
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Affiliation(s)
- Abdallah M Zeid
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin 130022, China.
- Department of Chemistry, University of Michigan, Ann Arbor, MI 48109, USA
- Department of Pharmaceutical Analytical Chemistry, Faculty of Pharmacy, Mansoura University, Mansoura 35516, Egypt
| | - Islam M Mostafa
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin 130022, China.
- University of Science and Technology of China, Hefei, Anhui 230026, China
| | - Baohua Lou
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin 130022, China.
| | - Guobao Xu
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin 130022, China.
- University of Science and Technology of China, Hefei, Anhui 230026, China
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4
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Georgas A, Georgas K, Hristoforou E. Advancements in SARS-CoV-2 Testing: Enhancing Accessibility through Machine Learning-Enhanced Biosensors. MICROMACHINES 2023; 14:1518. [PMID: 37630054 PMCID: PMC10456522 DOI: 10.3390/mi14081518] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Revised: 07/26/2023] [Accepted: 07/27/2023] [Indexed: 08/27/2023]
Abstract
The COVID-19 pandemic highlighted the importance of widespread testing for SARS-CoV-2, leading to the development of various new testing methods. However, traditional invasive sampling methods can be uncomfortable and even painful, creating barriers to testing accessibility. In this article, we explore how machine learning-enhanced biosensors can enable non-invasive sampling for SARS-CoV-2 testing, revolutionizing the way we detect and monitor the virus. By detecting and measuring specific biomarkers in body fluids or other samples, these biosensors can provide accurate and accessible testing options that do not require invasive procedures. We provide examples of how these biosensors can be used for non-invasive SARS-CoV-2 testing, such as saliva-based testing. We also discuss the potential impact of non-invasive testing on accessibility and accuracy of testing. Finally, we discuss potential limitations or biases associated with the machine learning algorithms used to improve the biosensors and explore future directions in the field of machine learning-enhanced biosensors for SARS-CoV-2 testing, considering their potential impact on global healthcare and disease control.
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Affiliation(s)
- Antonios Georgas
- School of Electrical and Computer Engineering, National Technical University of Athens, 15780 Athens, Greece; (K.G.); (E.H.)
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Chen LC, Li MC, Chen KR, Cheng YJ, Wu XY, Chen SA, Youh MJ, Kuo CC, Lin YX, Lin CY, Wang CF, Huang CF, Lin SY, Wang WH, Chen YH, Yu ML, Thitithanyanont A, Wang SF, Su LC. Facile and Unplugged Surface Plasmon Resonance Biosensor with NIR-Emitting Perovskite Nanocomposites for Fast Detection of SARS-CoV-2. Anal Chem 2023; 95:7186-7194. [PMID: 37103881 PMCID: PMC10152400 DOI: 10.1021/acs.analchem.2c05661] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Accepted: 04/11/2023] [Indexed: 04/28/2023]
Abstract
The emergence of the coronavirus disease 2019 (COVID-19) pandemic prompted researchers to develop portable biosensing platforms, anticipating to detect the analyte in a label-free, direct, and simple manner, for deploying on site to prevent the spread of the infectious disease. Herein, we developed a facile wavelength-based SPR sensor built with the aid of a 3D printing technology and synthesized air-stable NIR-emitting perovskite nanocomposites as the light source. The simple synthesis processes for the perovskite quantum dots enabled low-cost and large-area production and good emission stability. The integration of the two technologies enabled the proposed SPR sensor to exhibit the characteristics of lightweight, compactness, and being without a plug, just fitting the requirements of on-site detection. Experimentally, the detection limit of the proposed NIR SPR biosensor for refractive index change reached the 10-6 RIU level, comparable with that of state-of-the-art portable SPR sensors. In addition, the bio-applicability of the platform was validated by incorporating a homemade high-affinity polyclonal antibody toward the SARS-CoV-2 spike protein. The results demonstrated that the proposed system was capable of discriminating between clinical swab samples collected from COVID-19 patients and healthy subjects because the used polyclonal antibody exhibited high specificity against SARS-CoV-2. Most importantly, the whole measurement process not only took less than 15 min but also needed no complex procedures or multiple reagents. We believe that the findings disclosed in this work can open an avenue in the field of on-site detection for highly pathogenic viruses.
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Affiliation(s)
- Lung-Chien Chen
- Department of Electro-Optical Engineering,
National Taipei University of Technology, Taipei 10608,
Taiwan
| | - Meng-Chi Li
- Thin Film Technology Center, National
Central University, Taoyuan 32001, Taiwan
- Optical Sciences Center, National Central
University, Taoyuan 32001, Taiwan
| | - Kai-Ren Chen
- Department of Optics and Photonics,
National Central University, Taoyuan 32001,
Taiwan
| | - Yu-Jui Cheng
- Department of Electronic Engineering,
Ming Chi University of Technology, New Taipei City 24301,
Taiwan
| | - Xun-Ying Wu
- Department of Mechanical Engineering, Ming Chi
University of Technology, New Taipei City 24301,
Taiwan
| | - Sih-An Chen
- Department of Electro-Optical Engineering,
National Taipei University of Technology, Taipei 10608,
Taiwan
| | - Meng-Jey Youh
- Department of Mechanical Engineering, Ming Chi
University of Technology, New Taipei City 24301,
Taiwan
| | - Chien-Cheng Kuo
- Thin Film Technology Center, National
Central University, Taoyuan 32001, Taiwan
- Department of Optics and Photonics,
National Central University, Taoyuan 32001,
Taiwan
| | - Yu-Xen Lin
- TeraOptics Corporation,
Taoyuan 32472, Taiwan
| | - Chih-Yen Lin
- Center for Tropical Medicine and Infectious Disease
Research, Kaohsiung Medical University, Kaohsiung 80708,
Taiwan
- Department of Medical Laboratory Science and
Biotechnology, Kaohsiung Medical University, Kaohsiung 80708,
Taiwan
| | - Chu-Feng Wang
- Clinical Microbiology Laboratory, Department of
Laboratory Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical
University, Kaohsiung 80708, Taiwan
| | - Chung-Feng Huang
- Hepatobiliary Division, Department of
Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical
University, Kaohsiung 80708, Taiwan
- Ph.D. Program in Translational Medicine,
College of Medicine, Kaohsiung Medical University, Kaohsiung, and Academia
Sinica, Kaohsiung 80708, Taiwan
- Faculty of Internal Medicine and Hepatitis
Research Center, College of Medicine, and Center for Cohort Study, Kaohsiung
Medical University, Kaohsiung 80708, Taiwan
| | - Shang-Yi Lin
- Clinical Microbiology Laboratory, Department of
Laboratory Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical
University, Kaohsiung 80708, Taiwan
- Division of Infectious Disease, Department of
Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical
University, Kaohsiung 80708, Taiwan
| | - Wen-Hung Wang
- School of Medicine, College of Medicine,
National Sun Yat-Sen University, Kaohsiung 80424,
Taiwan
| | - Yen-Hsu Chen
- Center for Tropical Medicine and Infectious Disease
Research, Kaohsiung Medical University, Kaohsiung 80708,
Taiwan
- Division of Infectious Disease, Department of
Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical
University, Kaohsiung 80708, Taiwan
- School of Medicine, College of Medicine,
National Sun Yat-Sen University, Kaohsiung 80424,
Taiwan
| | - Ming-Lung Yu
- Hepatobiliary Division, Department of
Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical
University, Kaohsiung 80708, Taiwan
- School of Medicine, College of Medicine,
National Sun Yat-Sen University, Kaohsiung 80424,
Taiwan
| | - Arunee Thitithanyanont
- Department of Microbiology, Faculty of Science,
Mahidol University, Bangkok 10400,
Thailand
| | - Sheng-Fan Wang
- Center for Tropical Medicine and Infectious Disease
Research, Kaohsiung Medical University, Kaohsiung 80708,
Taiwan
- Department of Medical Laboratory Science and
Biotechnology, Kaohsiung Medical University, Kaohsiung 80708,
Taiwan
- Department of Medical Research,
Kaohsiung Medical University Hospital, Kaohsiung Medical
University, Kaohsiung 80708, Taiwan
| | - Li-Chen Su
- General Education Center, Ming
Chi University of Technology, New Taipei City 24301,
Taiwan
- Organic Electronics Research Center,
Ming Chi University of Technology, New Taipei City 24301,
Taiwan
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6
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Kowalczyk A, Kasprzak A, Ruzycka-Ayoush M, Podsiadły E, Demkow U, Grudzinski IP, Nowicka AM. Ultrasensitive voltammetric detection of SARS-CoV-2 in clinical samples. SENSORS AND ACTUATORS. B, CHEMICAL 2022; 371:132539. [PMID: 36033923 PMCID: PMC9395233 DOI: 10.1016/j.snb.2022.132539] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 08/17/2022] [Accepted: 08/18/2022] [Indexed: 06/15/2023]
Abstract
In every pandemic, it is critical to test as many people as possible and keep track of the number of new cases of infection. Therefore, there is a need for novel, fast and unambiguous testing methods. In this study, we designed a sandwich-type voltammetric immunosensor based on unlabeled- and labeled with a redox probe antibodies against virus spike protein for fast and ultrasensitive detection of SARS-CoV-2. The process of the preparation of the sensor layer included chemisorption of cysteamine layer and covalent anchoring of antibody specific for the S1 subunit of the S protein. The source of the voltametric signal was the antibody labeled with the redox probe, which was introduced onto biosensor surface only after the recognition of the virus. This easy-to-handle immunosensor was characterized by a wide analytical range (2.0·10-7 to 0.20 mg·L-1) and low detection limit (8.0·10-8 mg·L-1 ≡ 0.08 pg·mL-1 ≡ 4 virions·μL-1). The utility of the designed device was also evidenced by the detection of SARS-CoV-2 in the clinical samples. Moreover, the main advantage and a huge novelty of the developed device, compared to those already existing, is the moment of generating the analytical signal of the redox probe that appears only after the virus recognition. Thus, our diagnostic innovation may considerably contribute to controlling the COVID-19 pandemic. The as-developed immunosensor may well offer a novel alternative approach for viral detection that could complement or even replace the existing methods.
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Affiliation(s)
- Agata Kowalczyk
- Faculty of Chemistry, University of Warsaw, Pasteura 1 Str., PL 02-093 Warsaw, Poland
| | - Artur Kasprzak
- Faculty of Chemistry, Warsaw University of Technology, Nowakowskiego 3 Str., PL 00-664 Warsaw, Poland
| | - Monika Ruzycka-Ayoush
- Faculty of Pharmacy, Medical University of Warsaw, Banacha 1 Str., PL 02-097 Warsaw, Poland
| | - Edyta Podsiadły
- Department of Pharmaceutical Microbiology, Centre for Preclinical Research, Faculty of Pharmacy, Medical University of Warsaw, Banacha 1B Str., PL 02-097 Warsaw, Poland
| | - Urszula Demkow
- Department of Laboratory Diagnostics and Clinical Immunology of Developmental Age, Medical University of Warsaw, Zwirki i Wigury 63 A Str., PL 02-091 Warsaw, Poland
| | - Ireneusz P Grudzinski
- Faculty of Pharmacy, Medical University of Warsaw, Banacha 1 Str., PL 02-097 Warsaw, Poland
| | - Anna M Nowicka
- Faculty of Chemistry, University of Warsaw, Pasteura 1 Str., PL 02-093 Warsaw, Poland
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Banakar M, Hamidi M, Khurshid Z, Zafar MS, Sapkota J, Azizian R, Rokaya D. Electrochemical Biosensors for Pathogen Detection: An Updated Review. BIOSENSORS 2022; 12:bios12110927. [PMID: 36354437 PMCID: PMC9688024 DOI: 10.3390/bios12110927] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/17/2022] [Revised: 10/18/2022] [Accepted: 10/22/2022] [Indexed: 05/30/2023]
Abstract
Electrochemical biosensors are a family of biosensors that use an electrochemical transducer to perform their functions. In recent decades, many electrochemical biosensors have been created for pathogen detection. These biosensors for detecting infections have been comprehensively studied in terms of transduction elements, biorecognition components, and electrochemical methods. This review discusses the biorecognition components that may be used to identify pathogens. These include antibodies and aptamers. The integration of transducers and electrode changes in biosensor design is a major discussion topic. Pathogen detection methods can be categorized by sample preparation and secondary binding processes. Diagnostics in medicine, environmental monitoring, and biothreat detection can benefit from electrochemical biosensors to ensure food and water safety. Disposable and reusable biosensors for process monitoring, as well as multiplexed and conformal pathogen detection, are all included in this review. It is now possible to identify a wide range of diseases using biosensors that may be applied to food, bodily fluids, and even objects' surfaces. The sensitivity of optical techniques may be superior to electrochemical approaches, but optical methods are prohibitively expensive and challenging for most end users to utilize. On the other hand, electrochemical approaches are simpler to use, but their efficacy in identifying infections is still far from satisfactory.
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Affiliation(s)
- Morteza Banakar
- Dental Research Center, Dentistry Research Institute, Tehran University of Medical Sciences, Tehran 14176-14411, Iran
- Health Policy Research Center, Institute of Health, Shiraz University of Medical Sciences, Shiraz 71348-45794, Iran
| | - Masoud Hamidi
- Department of Medical Biotechnology, Faculty of Paramedicine, Guilan University of Medical Sciences, Rasht 41887-94755, Iran
| | - Zohaib Khurshid
- Department of Prosthodontics and Implantology, College of Dentistry, King Faisal University, Al-Hofuf, Al Ahsa 31982, Saudi Arabia
- Center of Excellence for Regenerative Dentistry, Department of Anatomy, Faculty of Dentistry, Chulalongkorn University, Bangkok 10330, Thailand
| | - Muhammad Sohail Zafar
- Department of Restorative Dentistry, College of Dentistry, Taibah University, Al Madinah, Al Munawwarah 41311, Saudi Arabia
- Department of Dental Materials, Islamic International Dental College, Riphah International University, Islamabad 44000, Pakistan
| | - Janak Sapkota
- Research Center of Applied Sciences and Technology, Kritipur 44600, Nepal
| | - Reza Azizian
- Pediatric Infectious Diseases Research Center (PIDRC), Tehran University of Medical Sciences, Tehran 14197-33151, Iran
- Biomedical Innovation & Start-Up Association (Biomino), Tehran University of Medical Sciences, Tehran 14166-34793, Iran
| | - Dinesh Rokaya
- Department of Clinical Dentistry, Walailak University International College of Dentistry, Walailak University, Bangkok 10400, Thailand
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Alsalameh S, Alnajjar K, Makhzoum T, Al Eman N, Shakir I, Mir TA, Alkattan K, Chinnappan R, Yaqinuddin A. Advances in Biosensing Technologies for Diagnosis of COVID-19. BIOSENSORS 2022; 12:898. [PMID: 36291035 PMCID: PMC9599206 DOI: 10.3390/bios12100898] [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: 09/13/2022] [Revised: 10/11/2022] [Accepted: 10/14/2022] [Indexed: 06/16/2023]
Abstract
The COVID-19 pandemic has severely impacted normal human life worldwide. Due to its rapid community spread and high mortality statistics, the development of prompt diagnostic tests for a massive number of samples is essential. Currently used traditional methods are often expensive, time-consuming, laboratory-based, and unable to handle a large number of specimens in resource-limited settings. Because of its high contagiousness, efficient identification of SARS-CoV-2 carriers is crucial. As the advantages of adopting biosensors for efficient diagnosis of COVID-19 increase, this narrative review summarizes the recent advances and the respective reasons to consider applying biosensors. Biosensors are the most sensitive, specific, rapid, user-friendly tools having the potential to deliver point-of-care diagnostics beyond traditional standards. This review provides a brief introduction to conventional methods used for COVID-19 diagnosis and summarizes their advantages and disadvantages. It also discusses the pathogenesis of COVID-19, potential diagnostic biomarkers, and rapid diagnosis using biosensor technology. The current advancements in biosensing technologies, from academic research to commercial achievements, have been emphasized in recent publications. We covered a wide range of topics, including biomarker detection, viral genomes, viral proteins, immune responses to infection, and other potential proinflammatory biomolecules. Major challenges and prospects for future application in point-of-care settings are also highlighted.
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Affiliation(s)
| | - Khalid Alnajjar
- College of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia
| | - Tariq Makhzoum
- College of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia
| | - Noor Al Eman
- College of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia
| | - Ismail Shakir
- College of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia
| | - Tanveer Ahmad Mir
- Laboratory of Tissue/Organ Bioengineering and BioMEMS, Organ Transplant Centre of Excellence, Transplant Research and Innovation Department, King Faisal Specialist Hospital and Research Centre, Riyadh 11211, Saudi Arabia
| | - Khaled Alkattan
- College of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia
| | - Raja Chinnappan
- College of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia
| | - Ahmed Yaqinuddin
- College of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia
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