1
|
Godin R, Hejazi S, Reuel NF. Advancements in Airborne Viral Nucleic Acid Detection with Wearable Devices. ADVANCED SENSOR RESEARCH 2024; 3:2300061. [PMID: 38764891 PMCID: PMC11101210 DOI: 10.1002/adsr.202300061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Indexed: 05/21/2024]
Abstract
Wearable health sensors for an expanding range of physiological parameters have experienced rapid development in recent years and are poised to disrupt the way healthcare is tracked and administered. The monitoring of environmental contaminants with wearable technologies is an additional layer of personal and public healthcare and is also receiving increased focus. Wearable sensors that detect exposure to airborne viruses could alert wearers of viral exposure and prompt proactive testing and minimization of viral spread, benefitting their own health and decreasing community risk. With the high levels of asymptomatic spread of COVID-19 observed during the pandemic, such devices could dramatically enhance our pandemic response capabilities in the future. To facilitate advancements in this area, this review summarizes recent research on airborne viral detection using wearable sensing devices as well as technologies suitable for wearables. Since the low concentration of viral particles in the air poses significant challenges to detection, methods for airborne viral particle collection and viral sensing are discussed in detail. A special focus is placed on nucleic acid-based viral sensing mechanisms due to their enhanced ability to discriminate between viral subtypes. Important considerations for integrating airborne viral collection and sensing on a single wearable device are also discussed.
Collapse
Affiliation(s)
- Ryan Godin
- Department of Chemical and Biological Engineering, Iowa State University
| | - Sepehr Hejazi
- Department of Chemical and Biological Engineering, Iowa State University
| | - Nigel F. Reuel
- Department of Chemical and Biological Engineering, Iowa State University
| |
Collapse
|
2
|
Stevenson E, Mortazavi R, Casuccio GS, Chow JC, Lednicky JA, Lee RJ, Levine A, Watson JG. Environmental sampling for disease surveillance: Recent advances and recommendations for best practice. JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION (1995) 2023; 73:723-729. [PMID: 37729106 DOI: 10.1080/10962247.2023.2253709] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/22/2023]
Affiliation(s)
- Eric Stevenson
- Immediate Past Chair, A&WMA Critical Review Committee, Retired from Bay Area Air Quality Management District, San Francisco, CA, USA
| | | | | | - Judith C Chow
- Division of Atmospheric Sciences, Desert Research Institute, Reno, NV, USA
| | - John A Lednicky
- Department of Environmental and Global Health of the College of Public Health and Health Professions, University of Florida, Gainesville, FL, USA
| | | | | | - John G Watson
- Division of Atmospheric Sciences, Desert Research Institute, Reno, NV, USA
| |
Collapse
|
3
|
Su Y, Bian S, Pan D, Xu Y, Rong G, Zhang H, Sawan M. Heterogeneous-Nucleation Biosensor for Long-Term Collection and Mask-Based Self-Detection of SARS-CoV-2. BIOSENSORS 2023; 13:858. [PMID: 37754092 PMCID: PMC10526364 DOI: 10.3390/bios13090858] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/15/2023] [Revised: 08/22/2023] [Accepted: 08/25/2023] [Indexed: 09/28/2023]
Abstract
The effective control of infectious diseases, including Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection, depends on the availability of rapid and accurate monitoring techniques. However, conventional SARS-CoV-2 detection technologies do not support continuous self-detection and may lead to cross-infection when utilized in medical institutions. In this study, we introduce a prototype of a mask biosensor designed for the long-term collection and self-detection of SARS-CoV-2. The biosensor utilizes the average resonance Rayleigh scattering intensity of Au nanocluster-aptamers. The inter-mask surface serves as a medium for the long-term collection and concentration enhancement of SARS-CoV-2, while the heterogeneous-nucleation nanoclusters (NCs) contribute to the exceptional stability of Au NCs for up to 48 h, facilitated by the adhesion of Ti NCs. Additionally, the biosensors based on Au NC-aptamers exhibited high sensitivity for up to 1 h. Moreover, through the implementation of a support vector machine classifier, a significant number of point signals can be collected and differentiated, leading to improved biosensor accuracy. These biosensors offer a complementary wearable device-based method for diagnosing SARS-CoV-2, with a limit of detection of 103 copies. Given their flexibility, the proposed biosensors possess tremendous potential for the continuous collection and sensitive self-detection of SARS-CoV-2 variants and other infectious pathogens.
Collapse
Affiliation(s)
- Yi Su
- College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou 310013, China; (Y.S.); (D.P.)
- CenBRAIN Neurotech, School of Engineering, Westlake University, Hangzhou 310030, China; (S.B.); (Y.X.); (G.R.); (H.Z.)
| | - Sumin Bian
- CenBRAIN Neurotech, School of Engineering, Westlake University, Hangzhou 310030, China; (S.B.); (Y.X.); (G.R.); (H.Z.)
| | - Dingyi Pan
- College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou 310013, China; (Y.S.); (D.P.)
| | - Yankun Xu
- CenBRAIN Neurotech, School of Engineering, Westlake University, Hangzhou 310030, China; (S.B.); (Y.X.); (G.R.); (H.Z.)
| | - Guoguang Rong
- CenBRAIN Neurotech, School of Engineering, Westlake University, Hangzhou 310030, China; (S.B.); (Y.X.); (G.R.); (H.Z.)
| | - Hongyong Zhang
- CenBRAIN Neurotech, School of Engineering, Westlake University, Hangzhou 310030, China; (S.B.); (Y.X.); (G.R.); (H.Z.)
| | - Mohamad Sawan
- CenBRAIN Neurotech, School of Engineering, Westlake University, Hangzhou 310030, China; (S.B.); (Y.X.); (G.R.); (H.Z.)
| |
Collapse
|
4
|
Kim HS, Lee H, Kang S, Kim WJ, Shin S. Diagnostic performance of respirators for collection and detection of SARS-CoV-2. Sci Rep 2023; 13:13277. [PMID: 37582958 PMCID: PMC10427661 DOI: 10.1038/s41598-023-39789-w] [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: 04/04/2023] [Accepted: 07/31/2023] [Indexed: 08/17/2023] Open
Abstract
Respirators, called as face mask, have been used to protect the wearer from the outside harmful air environment and prevent any virus from being released to neighbors from potentially infected exhaled breath. The antiviral effectiveness of respirators has not only been researched scientifically, but has also become a global issue due to society's obligation to wear respirators. In this paper, we report the results of a study on the collection and detection of viruses contained in exhaled breath using respirators. The inner electrostatic filter was carefully selected for virus collection because it does not come in direct contact with either human skin or the external environment. In the study of a healthy control group, it was confirmed that a large amount of DNA and biomolecules such as exosomes were collected from the respirator exposed to exhalation, and the amount of collection increased in proportion to the wearing time. We conducted experiments using a total of 72 paired samples with nasopharyngeal swabs and respirator samples. Out of these samples, fifty tested positive for SARS-CoV-2 and twenty-two tested negative. The PCR results of the NPS and respirator samples showed a high level of agreement, with a positive percent agreement of ≥ 90% and a negative percent agreement of ≥ 99%. Furthermore, there was a notable level of concordance between RCA-flow tests and PCR when examining the respirator samples. These results suggest that this is a non-invasive, quick and easy method of collecting samples from subjects using a respirator, which can significantly reduce the hassle of waiting at airports or public places and concerns about cross-contamination. Furthermore, we expect miniaturized technologies to integrate PCR detection into respirators in the near future.
Collapse
Affiliation(s)
- Hwang-Soo Kim
- Department of Micro-nano System Engineering, Korea University, Seoul, 02841, Republic of Korea
| | - Hansol Lee
- Asia Pacific Influenza Institute, Korea University College of Medicine, Seoul, 08308, Republic of Korea
| | - Seonghui Kang
- Division of Infectious Diseases, Department of Internal Medicine, Konyang University Hospital, Daejeon, 35365, Republic of Korea
| | - Woo Joo Kim
- Division of Infectious Diseases, Department of Internal Medicine, Korea University College of Medicine, Seoul, 08308, Republic of Korea.
| | - Sehyun Shin
- Department of Micro-nano System Engineering, Korea University, Seoul, 02841, Republic of Korea.
- School of Mechanical Engineering, Korea University, Seoul, 02841, Republic of Korea.
| |
Collapse
|
5
|
Luo Y, Zhou M, Fan C, Song Y, Wang L, Xu T, Zhang X. Active Enrichment of Nanoparticles for Ultra-Trace Point-of-Care COVID-19 Detection. Anal Chem 2023; 95:5316-5322. [PMID: 36917097 PMCID: PMC10022751 DOI: 10.1021/acs.analchem.2c05381] [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: 12/02/2022] [Accepted: 03/03/2023] [Indexed: 03/15/2023]
Abstract
Active enrichment can detect nucleic acid at ultra-low concentrations without relatively time-consuming polymerase chain reaction (PCR), which is an important development direction for future rapid nucleic acid detection. Here, we reported an integrated active enrichment platform for direct hand-held detection of nucleic acid of COVID-19 in nanoliter samples without PCR. The platform consists of a capillary-assisted liquid-carrying system for sampling, integrated circuit system for ultrasound output, and cell-phone-based surface-enhanced Raman scattering (SERS) system. Considering the acoustic responsiveness and SERS-enhanced performance, gold nanorods were selected for biomedical applications. Functionalized gold nanorods can effectively capture and enrich biomarkers under ultrasonic aggregation. Such approaches can actively assemble gold nanorods in 1-2 s and achieved highly sensitive (6.15 × 10-13 M) SERS detection of COVID-19 biomarkers in nanoliter (10-7 L) samples within 5 min. We further demonstrated the high stability, repeatability, and selectivity of the platform, and validated its potential for the detection of throat swab samples. This simple, portable, and ultra-trace integrated active enrichment detection platform is a promising diagnostic tool for the direct and rapid detection of COVID-19.
Collapse
Affiliation(s)
- Yong Luo
- School of Biomedical Engineering,
Shenzhen University Health Science Center, Shenzhen,
Guangdong 518060, P.R. China
- Beijing Key Laboratory for Bioengineering and Sensing
Technology, University of Science and Technology Beijing,
Beijing 100083, P.R. China
| | - Mengyun Zhou
- School of Biomedical Engineering,
Shenzhen University Health Science Center, Shenzhen,
Guangdong 518060, P.R. China
| | - Chuan Fan
- School of Biomedical Engineering,
Shenzhen University Health Science Center, Shenzhen,
Guangdong 518060, P.R. China
- Beijing Key Laboratory for Bioengineering and Sensing
Technology, University of Science and Technology Beijing,
Beijing 100083, P.R. China
| | - Yongchao Song
- Research Center for Intelligent and Wearable Technology,
College of Textiles and Clothing, State Key Laboratory of Bio-Fibers and Eco-Textiles,
Qingdao University, Qingdao 266071, P.R.
China
| | - Lirong Wang
- School of Biomedical Engineering,
Shenzhen University Health Science Center, Shenzhen,
Guangdong 518060, P.R. China
- Beijing Key Laboratory for Bioengineering and Sensing
Technology, University of Science and Technology Beijing,
Beijing 100083, P.R. China
| | - Tailin Xu
- School of Biomedical Engineering,
Shenzhen University Health Science Center, Shenzhen,
Guangdong 518060, P.R. China
- Beijing Key Laboratory for Bioengineering and Sensing
Technology, University of Science and Technology Beijing,
Beijing 100083, P.R. China
| | - Xueji Zhang
- School of Biomedical Engineering,
Shenzhen University Health Science Center, Shenzhen,
Guangdong 518060, P.R. China
| |
Collapse
|
6
|
Yang DM, Chang TJ, Hung KF, Wang ML, Cheng YF, Chiang SH, Chen MF, Liao YT, Lai WQ, Liang KH. Smart healthcare: A prospective future medical approach for COVID-19. J Chin Med Assoc 2023; 86:138-146. [PMID: 36227021 PMCID: PMC9847685 DOI: 10.1097/jcma.0000000000000824] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/25/2023] Open
Abstract
COVID-19 has greatly affected human life for over 3 years. In this review, we focus on smart healthcare solutions that address major requirements for coping with the COVID-19 pandemic, including (1) the continuous monitoring of severe acute respiratory syndrome coronavirus 2, (2) patient stratification with distinct short-term outcomes (eg, mild or severe diseases) and long-term outcomes (eg, long COVID), and (3) adherence to medication and treatments for patients with COVID-19. Smart healthcare often utilizes medical artificial intelligence (AI) and cloud computing and integrates cutting-edge biological and optoelectronic techniques. These are valuable technologies for addressing the unmet needs in the management of COVID. By leveraging deep learning/machine learning capabilities and big data, medical AI can perform precise prognosis predictions and provide reliable suggestions for physicians' decision-making. Through the assistance of the Internet of Medical Things, which encompasses wearable devices, smartphone apps, internet-based drug delivery systems, and telemedicine technologies, the status of mild cases can be continuously monitored and medications provided at home without the need for hospital care. In cases that develop into severe cases, emergency feedback can be provided through the hospital for rapid treatment. Smart healthcare can possibly prevent the development of severe COVID-19 cases and therefore lower the burden on intensive care units.
Collapse
Affiliation(s)
- De-Ming Yang
- Department of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan, ROC
- Microscopy Service Laboratory, Basic Research Division, Department of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan, ROC
- Institute of Biophotonics, School of Biomedical Science and Engineering, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC
- Address correspondence. Dr. De-Ming Yang, Microscopy Service Laboratory, Basic Research Division, Department of Medical Research, Taipei Veterans General Hospital, 201, Section 2, Shi-Pai Road, Taipei 112, Taiwan, ROC. E-mail address: (D.-M. Yang). and Dr. Kung-Hao Liang, Laboratory of Systems Biomedical Science, Department of Medical Research, Taipei Veterans General Hospital, 201, Section 2, Shi-Pai Road, Taipei 112, Taiwan, ROC. E-mail: (K.-H. Liang)
| | - Tai-Jay Chang
- Department of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan, ROC
- Laboratory of Genome Research, Basic Research Division, Department of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan, ROC
- School of Biomedical science and Engineering, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC
| | - Kai-Feng Hung
- Department of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan, ROC
| | - Mong-Lien Wang
- Department of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan, ROC
| | - Yen-Fu Cheng
- Department of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan, ROC
| | - Su-Hua Chiang
- Department of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan, ROC
| | - Mei-Fang Chen
- Department of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan, ROC
| | - Yi-Ting Liao
- Department of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan, ROC
- Laboratory of Systems Biomedical Science, Department of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan, ROC
- Institute of Food Safety and Health Risk Assessment, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC
| | - Wei-Qun Lai
- Department of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan, ROC
- Microscopy Service Laboratory, Basic Research Division, Department of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan, ROC
- Institute of Biophotonics, School of Biomedical Science and Engineering, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC
| | - Kung-Hao Liang
- Department of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan, ROC
- Laboratory of Systems Biomedical Science, Department of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan, ROC
- Institute of Food Safety and Health Risk Assessment, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC
- Address correspondence. Dr. De-Ming Yang, Microscopy Service Laboratory, Basic Research Division, Department of Medical Research, Taipei Veterans General Hospital, 201, Section 2, Shi-Pai Road, Taipei 112, Taiwan, ROC. E-mail address: (D.-M. Yang). and Dr. Kung-Hao Liang, Laboratory of Systems Biomedical Science, Department of Medical Research, Taipei Veterans General Hospital, 201, Section 2, Shi-Pai Road, Taipei 112, Taiwan, ROC. E-mail: (K.-H. Liang)
| |
Collapse
|
7
|
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: 13] [Impact Index Per Article: 13.0] [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.
Collapse
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
| |
Collapse
|
8
|
Li Y, Han X, Mu X, Wang Y, Shi C, Ma C. Single-walled carbon nanotubes-based RNA protection and extraction improves RT-qPCR sensitivity for SARS-CoV-2 detection. Anal Chim Acta 2023; 1238:340639. [PMID: 36464451 PMCID: PMC9674634 DOI: 10.1016/j.aca.2022.340639] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Revised: 11/06/2022] [Accepted: 11/16/2022] [Indexed: 11/21/2022]
Abstract
The false-negative result of nucleic acid testing is an important cause of continued spread of COVID-19, while SARS-CoV-2 RNA degradation during transportation and nucleic acid extraction can lead to false-negative results. Here, we investigated that single-walled carbon nanotubes (SCNTs) could protect RNA from degradation for at least 4 days at room temperature. By constructing magnetism-functionalized SCNTs (MSCNTs), we developed a method that enabled protection and simple extraction of SARS-CoV-2 RNA, and the RNA-bound MSCNTs can be directly used for reverse transcription polymerase chain reaction (RT-qPCR) detection. The experimental results showed that 1 μg of MSCNTs adsorbed up to 24 ng of RNA. Notably, the MSCNTs-based method for extracting SARS-CoV-2 RNA from simulated nasopharyngeal swabs and saliva samples with mean recovery rates of 103% and 106% improved the sensitivity of RT-qPCR detection by 8-32 fold in comparison to current common methods. This improvement was largely attributable to the protection of RNA, enabling increased RNA load for downstream assays.
Collapse
Affiliation(s)
- Yong Li
- Shandong Provincial Key Laboratory of Biochemical Engineering, Qingdao Nucleic Acid Rapid Detection Engineering Research Center, College of Marine Science and Biological Engineering, Qingdao University of Science and Technology, 266042, Qingdao, China
| | - Xiangning Han
- Shandong Provincial Key Laboratory of Biochemical Engineering, Qingdao Nucleic Acid Rapid Detection Engineering Research Center, College of Marine Science and Biological Engineering, Qingdao University of Science and Technology, 266042, Qingdao, China
| | - Xiaofeng Mu
- Clinical Laboratory, Qingdao Central Hospital, The Second Affiliated Hospital of Medical College of Qingdao University, 266042, Qingdao, China
| | - Ye Wang
- Clinical Laboratory, Qingdao Central Hospital, The Second Affiliated Hospital of Medical College of Qingdao University, 266042, Qingdao, China
| | - Chao Shi
- Qingdao Nucleic Acid Rapid Testing International Science and Technology Cooperation Base, College of Life Sciences, Department of Pathogenic Biology, School of Basic Medicine, the Clinical Laboratory Department of the Affiliated Hospital of Qingdao University, Qingdao University, 266071, Qingdao, China
| | - Cuiping Ma
- Shandong Provincial Key Laboratory of Biochemical Engineering, Qingdao Nucleic Acid Rapid Detection Engineering Research Center, College of Marine Science and Biological Engineering, Qingdao University of Science and Technology, 266042, Qingdao, China.
| |
Collapse
|
9
|
Lee I, Jeon E, Lee J. On-site bioaerosol sampling and detection in microfluidic platforms. Trends Analyt Chem 2023; 158:116880. [PMID: 36514783 PMCID: PMC9731818 DOI: 10.1016/j.trac.2022.116880] [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: 08/05/2022] [Revised: 12/07/2022] [Accepted: 12/07/2022] [Indexed: 12/13/2022]
Abstract
As the recent coronavirus disease (COVID-19) pandemic and several severe illnesses such as Middle East respiratory syndrome coronavirus (MERS-CoV), Influenza A virus (IAV) flu, and severe acute respiratory syndrome (SARS) have been found to be airborne, the importance of monitoring bioaerosols for the control and prevention of airborne epidemic diseases outbreaks is increasing. However, current aerosol collection and detection technologies may be limited to on-field use for real-time monitoring because of the relatively low concentrations of targeted bioaerosols in air samples. Microfluidic devices have been used as lab-on-a-chip platforms and exhibit outstanding capabilities in airborne particulate collection, sample processing, and target molecule analysis, thereby highlighting their potential for on-site bioaerosol monitoring. This review discusses the measurement of airborne microorganisms from air samples, including sources and transmission of bioaerosols, sampling strategies, and analytical methodologies. Recent advancements in microfluidic platforms have focused on bioaerosol sample preparation strategies, such as sorting, concentrating, and extracting, as well as rapid and field-deployable detection methods for analytes on microfluidic chips. Furthermore, we discuss an integrated platform for on-site bioaerosol analyses. We believe that our review significantly contributes to the literature as it assists in bridging the knowledge gaps in bioaerosol monitoring using microfluidic platforms.
Collapse
Affiliation(s)
- Inae Lee
- Department of Chemistry, Hanyang University, Seoul, 04763, South Korea.,Research Institute for Convergence of Basic Sciences, Hanyang University, 222 Wangsimni-Ro, Seongdong-Gu, Seoul, 04763, South Korea
| | - Eunyoung Jeon
- Department of Chemistry, Hanyang University, Seoul, 04763, South Korea
| | - Joonseok Lee
- Department of Chemistry, Hanyang University, Seoul, 04763, South Korea.,Research Institute for Convergence of Basic Sciences, Hanyang University, 222 Wangsimni-Ro, Seongdong-Gu, Seoul, 04763, South Korea.,Research Institute for Natural Sciences, Hanyang University, Seoul, 04763, South Korea
| |
Collapse
|
10
|
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.
Collapse
|
11
|
Chen M, Li P, Wang R, Xiang Y, Huang Z, Yu Q, He M, Liu J, Wang J, Su M, Zhang M, Jian A, Ouyang J, Zhang C, Li J, Dong M, Zeng S, Wu J, Hong P, Hou C, Zhou N, Zhang D, Zhou H, Tao G. Multifunctional Fiber-Enabled Intelligent Health Agents. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2022; 34:e2200985. [PMID: 35820163 DOI: 10.1002/adma.202200985] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/29/2022] [Revised: 03/31/2022] [Indexed: 06/15/2023]
Abstract
The application of wearable devices is promoting the development toward digitization and intelligence in the field of health. However, the current smart devices centered on human health have disadvantages such as weak perception, high interference degree, and unfriendly interaction. Here, an intelligent health agent based on multifunctional fibers, with the characteristics of autonomy, activeness, intelligence, and perceptibility enabling health services, is proposed. According to the requirements for healthcare in the medical field and daily life, four major aspects driven by intelligent agents, including health monitoring, therapy, protection, and minimally invasive surgery, are summarized from the perspectives of materials science, medicine, and computer science. The function of intelligent health agents is realized through multifunctional fibers as sensing units and artificial intelligence technology as a cognitive engine. The structure, characteristics, and performance of fibers and analysis systems and algorithms are reviewed, while discussing future challenges and opportunities in healthcare and medicine. Finally, based on the above four aspects, future scenarios related to health protection of a person's life are presented. Intelligent health agents will have the potential to accelerate the realization of precision medicine and active health.
Collapse
Affiliation(s)
- Min Chen
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
- State Key Laboratory of Material Processing and Die & Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
- School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Pan Li
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Rui Wang
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
- School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Yuanzhuo Xiang
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Zhiheng Huang
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Qiao Yu
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
- School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Muyao He
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
- School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Jia Liu
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
- School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Jiaxi Wang
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
- School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Minyu Su
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Manni Zhang
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Aijia Jian
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Jingyu Ouyang
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Chenxi Zhang
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
- School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Jing Li
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
- School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Mengxue Dong
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
- School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Shaoning Zeng
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Jiawei Wu
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Ping Hong
- Beijing Sport University, Beijing, 100091, P. R. China
| | - Chong Hou
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
- School of Optics and Electronic Information, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Ning Zhou
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
- Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Dingyu Zhang
- Hubei Provincial Health and Health Committee, Wuhan, Hubei, 430015, P. R. China
| | - Huamin Zhou
- State Key Laboratory of Material Processing and Die & Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Guangming Tao
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
- State Key Laboratory of Material Processing and Die & Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| |
Collapse
|
12
|
Xie Y, Li H, Chen F, Udayakumar S, Arora K, Chen H, Lan Y, Hu Q, Zhou X, Guo X, Xiu L, Yin K. Clustered Regularly Interspaced short palindromic repeats-Based Microfluidic System in Infectious Diseases Diagnosis: Current Status, Challenges, and Perspectives. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2022; 9:e2204172. [PMID: 36257813 PMCID: PMC9731715 DOI: 10.1002/advs.202204172] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Revised: 09/16/2022] [Indexed: 06/02/2023]
Abstract
Mitigating the spread of global infectious diseases requires rapid and accurate diagnostic tools. Conventional diagnostic techniques for infectious diseases typically require sophisticated equipment and are time consuming. Emerging clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated proteins (Cas) detection systems have shown remarkable potential as next-generation diagnostic tools to achieve rapid, sensitive, specific, and field-deployable diagnoses of infectious diseases, based on state-of-the-art microfluidic platforms. Therefore, a review of recent advances in CRISPR-based microfluidic systems for infectious diseases diagnosis is urgently required. This review highlights the mechanisms of CRISPR/Cas biosensing and cutting-edge microfluidic devices including paper, digital, and integrated wearable platforms. Strategies to simplify sample pretreatment, improve diagnostic performance, and achieve integrated detection are discussed. Current challenges and future perspectives contributing to the development of more effective CRISPR-based microfluidic diagnostic systems are also proposed.
Collapse
Affiliation(s)
- Yi Xie
- School of Global HealthChinese Center for Tropical Diseases ResearchShanghai Jiao Tong University School of MedicineShanghai200025P. R. China
- One Health CenterShanghai Jiao Tong University‐The University of EdinburghShanghai200025P. R. China
| | - Huimin Li
- School of Global HealthChinese Center for Tropical Diseases ResearchShanghai Jiao Tong University School of MedicineShanghai200025P. R. China
- One Health CenterShanghai Jiao Tong University‐The University of EdinburghShanghai200025P. R. China
| | - Fumin Chen
- School of Global HealthChinese Center for Tropical Diseases ResearchShanghai Jiao Tong University School of MedicineShanghai200025P. R. China
- One Health CenterShanghai Jiao Tong University‐The University of EdinburghShanghai200025P. R. China
| | - Srisruthi Udayakumar
- Division of Engineering in MedicineDepartment of MedicineBrigham and Women's Hospital and Harvard Medical SchoolBostonMA02139USA
| | - Khyati Arora
- Division of Engineering in MedicineDepartment of MedicineBrigham and Women's Hospital and Harvard Medical SchoolBostonMA02139USA
| | - Hui Chen
- Division of Engineering in MedicineDepartment of MedicineBrigham and Women's Hospital and Harvard Medical SchoolBostonMA02139USA
| | - Yang Lan
- Centre for Nature‐Inspired EngineeringDepartment of Chemical EngineeringUniversity College LondonLondonWC1E 7JEUK
| | - Qinqin Hu
- School of Global HealthChinese Center for Tropical Diseases ResearchShanghai Jiao Tong University School of MedicineShanghai200025P. R. China
- One Health CenterShanghai Jiao Tong University‐The University of EdinburghShanghai200025P. R. China
| | - Xiaonong Zhou
- School of Global HealthChinese Center for Tropical Diseases ResearchShanghai Jiao Tong University School of MedicineShanghai200025P. R. China
- One Health CenterShanghai Jiao Tong University‐The University of EdinburghShanghai200025P. R. China
| | - Xiaokui Guo
- School of Global HealthChinese Center for Tropical Diseases ResearchShanghai Jiao Tong University School of MedicineShanghai200025P. R. China
- One Health CenterShanghai Jiao Tong University‐The University of EdinburghShanghai200025P. R. China
| | - Leshan Xiu
- School of Global HealthChinese Center for Tropical Diseases ResearchShanghai Jiao Tong University School of MedicineShanghai200025P. R. China
- One Health CenterShanghai Jiao Tong University‐The University of EdinburghShanghai200025P. R. China
| | - Kun Yin
- School of Global HealthChinese Center for Tropical Diseases ResearchShanghai Jiao Tong University School of MedicineShanghai200025P. R. China
- One Health CenterShanghai Jiao Tong University‐The University of EdinburghShanghai200025P. R. China
| |
Collapse
|
13
|
Xu F, Zhou J, Yang H, Chen L, Zhong J, Peng Y, Wu K, Wang Y, Fan H, Yang X, Zhao Y. Recent advances in exhaled breath sample preparation technologies for drug of abuse detection. Trends Analyt Chem 2022. [DOI: 10.1016/j.trac.2022.116828] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
|
14
|
Collection and detection of SARS-CoV-2 in exhaled breath using face mask. PLoS One 2022; 17:e0270765. [PMID: 35980889 PMCID: PMC9387863 DOI: 10.1371/journal.pone.0270765] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Accepted: 06/08/2022] [Indexed: 01/02/2023] Open
Abstract
Face masks are used to protect the wearer from harmful external air and to prevent transmission of viruses from air exhaled by potentially infected wearers to the surrounding people. In this study, we examined the potential utility of masks for collecting viruses contained in exhaled breath and detected the collected viruses via various molecular tests. Using KF94 masks, the inner electrostatic filter was selected for virus collection, and an RNA extraction protocol was developed for the face mask. Virus detection in worn mask samples was performed using PCR and rolling circle amplification (RCA) tests and four different target genes (N, E, RdRp, and ORF1ab genes). The present study confirmed that the mask sample tests showed positive SARS-CoV-2 results, similar to the PCR tests using nasopharyngeal swab samples. In addition, the quantity of nucleic acid collected in the masks linearly increased with wearing time. These results suggest that samples for SARS-CoV-2 tests can be collected in a noninvasive, quick, and easy method by simply submitting worn masks from subjects, which can significantly reduce the hassle of waiting at airports or public places and concerns about cross-infection. In addition, it is expected that miniaturization technology will integrate PCR assays on face masks in the near future, and mask-based self-diagnosis would play a significant role in resolving the pandemic situation.
Collapse
|
15
|
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.
Collapse
|
16
|
Bhattacharjee A, Sabino RM, Gangwish J, Manivasagam VK, James S, Popat KC, Reynolds M, Li YV. A novel colorimetric biosensor for detecting SARS-CoV-2 by utilizing the interaction between nucleocapsid antibody and spike proteins. IN VITRO MODELS 2022; 1:241-247. [PMID: 37519331 PMCID: PMC9156827 DOI: 10.1007/s44164-022-00022-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Revised: 05/17/2022] [Accepted: 05/18/2022] [Indexed: 11/28/2022]
Abstract
SARS-CoV-2 is a pandemic coronavirus that causes severe respiratory disease (COVID-19) in humans and is responsible for millions of deaths around the world since early 2020. The virus affects the human respiratory cells through its spike (S) proteins located at the outer shell. To monitor the rapid spreading of SARS-CoV-2 and to reduce the deaths from the COVID-19, early detection of SARS-CoV-2 is of utmost necessity. This report describes a flexible colorimetric biosensor capable of detecting the S protein of SARS-CoV-2. The colorimetric biosensor is made of polyurethane (PU)-polydiacetylene (PDA) nanofiber composite that was chemically functionalized to create a binding site for the receptor molecule-nucleocapsid antibody (anti-N) protein of SARS-CoV-2. After the anti-N protein conjugation to the functionalized PDA fibers, the PU-PDA-NHS-anti fiber was able to detect the S protein of SARS-CoV-2 at room temperature via a colorimetric transition from blue to red. The PU-PDA nanofiber-based biosensors are flexible and lightweight and do not require a power supply such as a battery when the colorimetric detection to S protein occurs, suggesting a sensing platform of wearable devices and personal protective equipment such as face masks and medical gowns for real-time monitoring of virus contraction and contamination. The wearable biosensors could significantly power mass surveillance technologies to fight against the COVID-19 pandemic. Graphical abstract Supplementary Information The online version contains supplementary material available at 10.1007/s44164-022-00022-z.
Collapse
Affiliation(s)
| | - Roberta M. Sabino
- School of Advanced Materials Discovery, Colorado State University, Fort Collins, CO USA
| | - Justin Gangwish
- School of Advanced Materials Discovery, Colorado State University, Fort Collins, CO USA
| | | | - Susan James
- School of Advanced Materials Discovery, Colorado State University, Fort Collins, CO USA
- Department of Mechanical Engineering, Colorado State University, Fort Collins, CO USA
- School of Biomedical Engineering, Colorado State University, Fort Collins, CO USA
| | - Ketul C. Popat
- School of Advanced Materials Discovery, Colorado State University, Fort Collins, CO USA
- Department of Mechanical Engineering, Colorado State University, Fort Collins, CO USA
- School of Biomedical Engineering, Colorado State University, Fort Collins, CO USA
| | - Melissa Reynolds
- School of Biomedical Engineering, Colorado State University, Fort Collins, CO USA
- Department of Chemistry, Colorado State University, Fort Collins, CO USA
- Department of Chemical and Biological Engineering, Colorado State University, Fort Collins, CO USA
| | - Yan Vivian Li
- School of Advanced Materials Discovery, Colorado State University, Fort Collins, CO USA
- School of Biomedical Engineering, Colorado State University, Fort Collins, CO USA
- Department of Design and Merchandising, Colorado State University, Fort Collins, CO USA
| |
Collapse
|
17
|
Hu B. Recent Advances in Facemask Devices for In Vivo Sampling of Human Exhaled Breath Aerosols and Inhalable Environmental Exposures. Trends Analyt Chem 2022; 151:116600. [PMID: 35310778 PMCID: PMC8917876 DOI: 10.1016/j.trac.2022.116600] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Since the COVID-19 pandemic, the unprecedented use of facemasks has been requiring for wearing in daily life. By wearing facemask, human exhaled breath aerosols and inhaled environmental exposures can be efficiently filtered and thus various filtration residues can be deposited in facemask. Therefore, facemask could be a simple, wearable, in vivo, onsite and noninvasive sampler for collecting exhaled and inhalable compositions, and gain new insights into human health and environmental exposure. In this review, the recent advances in developments and applications of in vivo facemask sampling of human exhaled bacteria, viruses, proteins, and metabolites, and inhalable facemask contaminants and air pollutants, are reviewed. New features of facemask sampling are highlighted. The perspectives and challenges on further development and potential applications of facemask devices are also discussed.
Collapse
Affiliation(s)
- Bin Hu
- Institute of Mass Spectrometry and Atmospheric Environment, Guangdong Provincial Engineering Research Center for On-line Source Apportionment System of Air Pollution, Jinan University, Guangzhou 510632, China
| |
Collapse
|
18
|
Gradisteanu Pircalabioru G, Iliescu FS, Mihaescu G, Cucu AI, Ionescu ON, Popescu M, Simion M, Burlibasa L, Tica M, Chifiriuc MC, Iliescu C. Advances in the Rapid Diagnostic of Viral Respiratory Tract Infections. Front Cell Infect Microbiol 2022; 12:807253. [PMID: 35252028 PMCID: PMC8895598 DOI: 10.3389/fcimb.2022.807253] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Accepted: 01/04/2022] [Indexed: 12/16/2022] Open
Abstract
Viral infections are a significant public health problem, primarily due to their high transmission rate, various pathological manifestations, ranging from mild to severe symptoms and subclinical onset. Laboratory diagnostic tests for infectious diseases, with a short enough turnaround time, are promising tools to improve patient care, antiviral therapeutic decisions, and infection prevention. Numerous microbiological molecular and serological diagnostic testing devices have been developed and authorised as benchtop systems, and only a few as rapid miniaturised, fully automated, portable digital platforms. Their successful implementation in virology relies on their performance and impact on patient management. This review describes the current progress and perspectives in developing micro- and nanotechnology-based solutions for rapidly detecting human viral respiratory infectious diseases. It provides a nonexhaustive overview of currently commercially available and under-study diagnostic testing methods and discusses the sampling and viral genetic trends as preanalytical components influencing the results. We describe the clinical performance of tests, focusing on alternatives such as microfluidics-, biosensors-, Internet-of-Things (IoT)-based devices for rapid and accurate viral loads and immunological responses detection. The conclusions highlight the potential impact of the newly developed devices on laboratory diagnostic and clinical outcomes.
Collapse
Affiliation(s)
| | - Florina Silvia Iliescu
- National Institute for Research and Development in Microtechnologies—IMT, Bucharest, Romania
| | | | | | - Octavian Narcis Ionescu
- National Institute for Research and Development in Microtechnologies—IMT, Bucharest, Romania
- Petroleum-Gas University of Ploiesti, Ploiesti, Romania
| | - Melania Popescu
- National Institute for Research and Development in Microtechnologies—IMT, Bucharest, Romania
| | - Monica Simion
- National Institute for Research and Development in Microtechnologies—IMT, Bucharest, Romania
| | | | - Mihaela Tica
- Emergency University Hospital, Bucharest, Romania
| | - Mariana Carmen Chifiriuc
- Research Institute of the University of Bucharest, Bucharest, Romania
- Faculty of Biology, University of Bucharest, Bucharest, Romania
- Academy of Romanian Scientists, Bucharest, Romania
- The Romanian Academy, Bucharest, Romania
- *Correspondence: Mariana Carmen Chifiriuc, ; Ciprian Iliescu,
| | - Ciprian Iliescu
- National Institute for Research and Development in Microtechnologies—IMT, Bucharest, Romania
- Academy of Romanian Scientists, Bucharest, Romania
- Faculty of Applied Chemistry and Materials Science, University “Politehnica” of Bucharest, Bucharest, Romania
- *Correspondence: Mariana Carmen Chifiriuc, ; Ciprian Iliescu,
| |
Collapse
|
19
|
Zhang Z, Ma P, Ahmed R, Wang J, Akin D, Soto F, Liu BF, Li P, Demirci U. Advanced Point-of-Care Testing Technologies for Human Acute Respiratory Virus Detection. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2022; 34:e2103646. [PMID: 34623709 DOI: 10.1002/adma.202103646] [Citation(s) in RCA: 64] [Impact Index Per Article: 32.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Revised: 08/25/2021] [Indexed: 04/14/2023]
Abstract
The ever-growing global threats to human life caused by the human acute respiratory virus (RV) infections have cost billions of lives, created a significant economic burden, and shaped society for centuries. The timely response to emerging RVs could save human lives and reduce the medical care burden. The development of RV detection technologies is essential for potentially preventing RV pandemic and epidemics. However, commonly used detection technologies lack sensitivity, specificity, and speed, thus often failing to provide the rapid turnaround times. To address this problem, new technologies are devised to address the performance inadequacies of the traditional methods. These emerging technologies offer improvements in convenience, speed, flexibility, and portability of point-of-care test (POCT). Herein, recent developments in POCT are comprehensively reviewed for eight typical acute respiratory viruses. This review discusses the challenges and opportunities of various recognition and detection strategies and discusses these according to their detection principles, including nucleic acid amplification, optical POCT, electrochemistry, lateral flow assays, microfluidics, enzyme-linked immunosorbent assays, and microarrays. The importance of limits of detection, throughput, portability, and specificity when testing clinical samples in resource-limited settings is emphasized. Finally, the evaluation of commercial POCT kits for both essential RV diagnosis and clinical-oriented practices is included.
Collapse
Affiliation(s)
- Zhaowei Zhang
- Oil Crops Research Institute of Chinese Academy of Agricultural Sciences, National Reference Laboratory for Agricultural Testing (Biotoxin), Key Laboratory of Biology and Genetic Improvement of Oil Crops, Key Laboratory of Detection for Mycotoxins, Ministry of Agriculture and Rural Affairs, Wuhan, 430062, P. R. China
- Bio-Acoustic MEMS in Medicine (BAMM) Laboratory, Canary Center at Stanford for Cancer Early Detection, Department of Radiology, Stanford School of Medicine, Palo Alto, CA, 94304, USA
| | - Peng Ma
- Bio-Acoustic MEMS in Medicine (BAMM) Laboratory, Canary Center at Stanford for Cancer Early Detection, Department of Radiology, Stanford School of Medicine, Palo Alto, CA, 94304, USA
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics - Hubei Bioinformatics & Molecular Imaging Key Laboratory Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, P. R. China
| | - Rajib Ahmed
- Bio-Acoustic MEMS in Medicine (BAMM) Laboratory, Canary Center at Stanford for Cancer Early Detection, Department of Radiology, Stanford School of Medicine, Palo Alto, CA, 94304, USA
| | - Jie Wang
- Bio-Acoustic MEMS in Medicine (BAMM) Laboratory, Canary Center at Stanford for Cancer Early Detection, Department of Radiology, Stanford School of Medicine, Palo Alto, CA, 94304, USA
| | - Demir Akin
- Bio-Acoustic MEMS in Medicine (BAMM) Laboratory, Canary Center at Stanford for Cancer Early Detection, Department of Radiology, Stanford School of Medicine, Palo Alto, CA, 94304, USA
| | - Fernando Soto
- Bio-Acoustic MEMS in Medicine (BAMM) Laboratory, Canary Center at Stanford for Cancer Early Detection, Department of Radiology, Stanford School of Medicine, Palo Alto, CA, 94304, USA
| | - Bi-Feng Liu
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics - Hubei Bioinformatics & Molecular Imaging Key Laboratory Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, P. R. China
| | - Peiwu Li
- Oil Crops Research Institute of Chinese Academy of Agricultural Sciences, National Reference Laboratory for Agricultural Testing (Biotoxin), Key Laboratory of Biology and Genetic Improvement of Oil Crops, Key Laboratory of Detection for Mycotoxins, Ministry of Agriculture and Rural Affairs, Wuhan, 430062, P. R. China
| | - Utkan Demirci
- Bio-Acoustic MEMS in Medicine (BAMM) Laboratory, Canary Center at Stanford for Cancer Early Detection, Department of Radiology, Stanford School of Medicine, Palo Alto, CA, 94304, USA
| |
Collapse
|
20
|
Bui LM, Thi Thu Phung H, Ho Thi TT, Singh V, Maurya R, Khambhati K, Wu CC, Uddin MJ, Trung DM, Chu DT. Recent findings and applications of biomedical engineering for COVID-19 diagnosis: a critical review. Bioengineered 2021; 12:8594-8613. [PMID: 34607509 PMCID: PMC8806999 DOI: 10.1080/21655979.2021.1987821] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Accepted: 09/28/2021] [Indexed: 12/23/2022] Open
Abstract
COVID-19 is one of the most severe global health crises that humanity has ever faced. Researchers have restlessly focused on developing solutions for monitoring and tracing the viral culprit, SARS-CoV-2, as vital steps to break the chain of infection. Even though biomedical engineering (BME) is considered a rising field of medical sciences, it has demonstrated its pivotal role in nurturing the maturation of COVID-19 diagnostic technologies. Within a very short period of time, BME research applied to COVID-19 diagnosis has advanced with ever-increasing knowledge and inventions, especially in adapting available virus detection technologies into clinical practice and exploiting the power of interdisciplinary research to design novel diagnostic tools or improve the detection efficiency. To assist the development of BME in COVID-19 diagnosis, this review highlights the most recent diagnostic approaches and evaluates the potential of each research direction in the context of the pandemic.
Collapse
Affiliation(s)
- Le Minh Bui
- NTT Hi-Tech Institute, Nguyen Tat Thanh University, Ho Chi Minh City, Vietnam
- Department of Biology, Faculty of Science and Technology, Universitas Airlangga, Surabaya, Indonesia
| | - Huong Thi Thu Phung
- NTT Hi-Tech Institute, Nguyen Tat Thanh University, Ho Chi Minh City, Vietnam
| | - Thuy-Tien Ho Thi
- Center for Biomedicine and Community Health, International School, Vietnam National University, Hanoi, Vietnam
| | - Vijai Singh
- Department of Biosciences, School of Science, Indrashil University, Mehsana, Gujarat, India
| | - Rupesh Maurya
- Department of Biosciences, School of Science, Indrashil University, Mehsana, Gujarat, India
| | - Khushal Khambhati
- Department of Biosciences, School of Science, Indrashil University, Mehsana, Gujarat, India
| | - Chia-Ching Wu
- Department of Cell Biology and Anatomy, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Md Jamal Uddin
- ABEx Bio-Research Center, East Azampur, Dhaka, Bangladesh
- Graduate School of Pharmaceutical Sciences, College of Pharmacy, Ewha Womans University, Seoul, Republic of Korea
| | - Do Minh Trung
- Institute of Biomedicine and Pharmacy, Vietnam Military Medical University, Hanoi, Vietnam
| | - Dinh Toi Chu
- Center for Biomedicine and Community Health, International School, Vietnam National University, Hanoi, Vietnam
- Department of Cell Biology and Anatomy, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| |
Collapse
|