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Wang J, Yang L, Wang H, Wang L. Application of Microfluidic Chips in the Detection of Airborne Microorganisms. MICROMACHINES 2022; 13:1576. [PMID: 36295928 PMCID: PMC9611547 DOI: 10.3390/mi13101576] [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: 05/22/2022] [Revised: 09/14/2022] [Accepted: 09/17/2022] [Indexed: 06/16/2023]
Abstract
The spread of microorganisms in the air, especially pathogenic microorganisms, seriously affects people's normal life. Therefore, the analysis and detection of airborne microorganisms is of great importance in environmental detection, disease prevention and biosafety. As an emerging technology with the advantages of integration, miniaturization and high efficiency, microfluidic chips are widely used in the detection of microorganisms in the environment, bringing development vitality to the detection of airborne microorganisms, and they have become a research highlight in the prevention and control of infectious diseases. Microfluidic chips can be used for the detection and analysis of bacteria, viruses and fungi in the air, mainly for the detection of Escherichia coli, Staphylococcus aureus, H1N1 virus, SARS-CoV-2 virus, Aspergillus niger, etc. The high sensitivity has great potential in practical detection. Here, we summarize the advances in the collection and detection of airborne microorganisms by microfluidic chips. The challenges and trends for the detection of airborne microorganisms by microfluidic chips was also discussed. These will support the role of microfluidic chips in the prevention and control of air pollution and major outbreaks.
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Affiliation(s)
- Jinpei Wang
- College of Medicine, Xi’an International University, Xi’an 710077, China
- Engineering Research Center of Personalized Anti-Aging Health Product Development and Transformation, Universities of Shaanxi Province, Xi’an 710077, China
- Applied Research Center for Life Science, Xi’an International University, Xi’an 710077, China
| | - Lixia Yang
- College of Medicine, Xi’an International University, Xi’an 710077, China
- Engineering Research Center of Personalized Anti-Aging Health Product Development and Transformation, Universities of Shaanxi Province, Xi’an 710077, China
- Applied Research Center for Life Science, Xi’an International University, Xi’an 710077, China
| | - Hanghui Wang
- College of Medicine, Xi’an International University, Xi’an 710077, China
- Xi’an International Medical Center Hospital, Xi’an 710100, China
| | - Lin Wang
- College of Medicine, Xi’an International University, Xi’an 710077, China
- Engineering Research Center of Personalized Anti-Aging Health Product Development and Transformation, Universities of Shaanxi Province, Xi’an 710077, China
- Applied Research Center for Life Science, Xi’an International University, Xi’an 710077, China
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Qian S, Jiang M, Liu Z. Inertial migration of aerosol particles in three-dimensional microfluidic channels. PARTICUOLOGY 2021; 55:23-34. [PMID: 38620251 PMCID: PMC7431404 DOI: 10.1016/j.partic.2020.08.001] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/24/2020] [Revised: 07/19/2020] [Accepted: 08/04/2020] [Indexed: 04/17/2024]
Abstract
In recent years, manipulation of particles by inertial microfluidics has attracted significant attention. However, most studies focused on inertial focusing of particles suspended within liquid phase, in which the ratio of the density of the particle to that of the medium is O(1). The investigation on manipulation of aerosol particles in an inertial microfluidics is very limited. In this study, we numerically investigate the aerosol particle's motion in a 3D straight microchannel with rectangular cross section by fully resolved simulation of the particle-air flow. The air flow is modeled by the Navier-Stokes equations. The particle's motions, including translation and rotation, are governed, respectively, by the Newton's second law and the Euler equations without using any approximation models for the lift and drag forces. The coupled mathematical model is numerically solved by combining immersed boundary with lattice Boltzmann method (IB-LBM). We find that the Reynolds number (Re), the particle's initial position, particle's density and diameter are the influential parameters in this process. The equilibrium positions and their stabilities of aerosols are different from those suspended in liquid.
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Affiliation(s)
- Shizhi Qian
- Department of Mechanical and Aerospace Engineering, Old Dominion University, Norfolk, VA 23529, USA
| | - Maoqiang Jiang
- State Key Laboratory of Coal Combustion, School of Energy and Power Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
- Smith School of Chemical and Biomolecular Engineering, Cornell University, Ithaca NY 14853, USA
| | - Zhaohui Liu
- State Key Laboratory of Coal Combustion, School of Energy and Power Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
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Khoubnasabjafari M, Jouyban-Gharamaleki V, Ghanbari R, Jouyban A. Exhaled breath condensate as a potential specimen for diagnosing COVID-19. Bioanalysis 2020; 12:1195-1197. [PMID: 32290684 PMCID: PMC7370802 DOI: 10.4155/bio-2020-0083] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2020] [Accepted: 04/07/2020] [Indexed: 12/11/2022] Open
Affiliation(s)
- Maryam Khoubnasabjafari
- Tuberculosis & Lung Diseases Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Vahid Jouyban-Gharamaleki
- Pharmaceutical Analysis Research Center & Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Reza Ghanbari
- Digestive Oncology Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Abolghasem Jouyban
- Pharmaceutical Analysis Research Center & Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, Iran
- Digestive Oncology Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
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Xin CX, Lodhi AF, Qu X, Shakir Y, Deng YL, Zhang Y. Evaluating Quantitative Measures of Microbial Contamination from China's Spacecraft Materials. ASTROBIOLOGY 2020; 20:1014-1023. [PMID: 32783565 DOI: 10.1089/ast.2019.2070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Different methods are used for the quantification of microbial load on spacecrafts. Here, we investigated a number of methodologies currently in use with the intent to identify the most accurate methods for the quantification of microbes on low-biomass metal surfaces such as those used in China's Space Station. In a previous study, we observed a high abundance of Bacillus sp. TJ 1-1 on interior surfaces of China's Space Station, and we therefore undertook this study in which we used a range of 102 to 109 cells/100 cm2 of this strain for setting different contamination levels. Four of the most common analytical approaches (contact plate, spread plate, quantitative PCR, and BacLight™) were used to quantify the number of viable microbial cells associated with the materials of China's Space Station. Results show that, for 102 cells/100 cm2, the contact plate method is the most convenient and reliable. For microbial contamination levels ≥103 cells/100 cm2 and a sampling area of 121 cm2, the BacLight method proved to be most reliable for the detection of live cells. Moreover, a sampling area of 121 cm2 was found to be the most suitable for analysis of metal surfaces for space station interiors, which are usually low in biomass. These results establish suitable sampling and processing methodologies for microbial enumeration of metal surfaces on China's Space Station.
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Affiliation(s)
- Cong-Xin Xin
- School of Life Science, Beijing Institute of Technology, Beijing, China
| | - Adil Farooq Lodhi
- School of Life Science, Beijing Institute of Technology, Beijing, China
- Faculty of Health Sciences, Hazara University, Mansehra, Pakistan
| | - Xi Qu
- Institute of Manned Space System Engineering, China Academy of Space Technology, Beijing, China
| | - Yasmeen Shakir
- School of Life Science, Beijing Institute of Technology, Beijing, China
- Faculty of Health Sciences, Hazara University, Mansehra, Pakistan
| | - Yu-Lin Deng
- School of Life Science, Beijing Institute of Technology, Beijing, China
| | - Ying Zhang
- School of Life Science, Beijing Institute of Technology, Beijing, China
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5
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Zhang Y, Xin CX, Zhang LT, Deng YL, Wang X, Chen XY, Wang ZQ. Detection of Fungi from Low-Biomass Spacecraft Assembly Clean Room Aerosols. ASTROBIOLOGY 2018; 18:1585-1593. [PMID: 30383981 DOI: 10.1089/ast.2017.1803] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
Highly sensitive and rapid detection of airborne fungi in space stations is essential to ensure disease prevention and equipment safety. In this study, quantitative loop-mediated isothermal amplification (qLAMP) was used to detect fungi in the aerosol of the low-biomass environment of China's space station assembly clean room (CSSAC). A qLAMP primer set for detecting a wide range of aerosol fungi was developed by aligning 34 sequences of isolated fungal species and 17 space station aerosol-related fungal species. Optimization of sample pretreatment conditions of the LAMP reaction increased the quantitative results by 1.29-1.96 times. The results showed that our qLAMP system had high amplification specificity for fungi, with a quantifiable detection limit as low as 102. The detected fungal biomass in the aerosol of CSSAC was 9.59 × 102-2.20 × 105 28S rRNA gene copy numbers/m3. This qLAMP assay may therefore replace traditional colony-forming unit and quantitative PCR methods as an effective strategy for detecting fungi in space stations.
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Affiliation(s)
- Ying Zhang
- School of Life Science, Beijing Institute of Technology, Beijing, China
| | - Cong-Xin Xin
- School of Life Science, Beijing Institute of Technology, Beijing, China
| | - Lan-Tao Zhang
- Institute of Manned Space System Engineering, China Academy of Space Technology, Beijing, China
| | - Yu-Lin Deng
- School of Life Science, Beijing Institute of Technology, Beijing, China
| | - Xiang Wang
- Institute of Manned Space System Engineering, China Academy of Space Technology, Beijing, China
| | - Xiang-Yu Chen
- School of Life Science, Beijing Institute of Technology, Beijing, China
| | - Zhao-Qian Wang
- School of Life Science, Beijing Institute of Technology, Beijing, China
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Bian X, Lan Y, Wang B, Zhang YS, Liu B, Yang P, Zhang W, Qiao L. Microfluidic Air Sampler for Highly Efficient Bacterial Aerosol Collection and Identification. Anal Chem 2016; 88:11504-11512. [DOI: 10.1021/acs.analchem.6b02708] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Affiliation(s)
- Xiaojun Bian
- College
of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, P. R. China
| | - Ying Lan
- College
of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, P. R. China
| | - Bing Wang
- College
of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, P. R. China
| | - Yu Shrike Zhang
- Division
of Engineering in Medicine, Department of Medicine, Brigham and Women’s
Hospital, Harvard Medical School, Cambridge, Massachusetts 02139, United States
| | - Baohong Liu
- Department
of Chemistry, Fudan University, Shanghai 200433, P. R. China
- Institutes
of Biomedical Sciences, Fudan University, 131 Dongan Road, Shanghai 200032, China
| | - Pengyuan Yang
- Department
of Chemistry, Fudan University, Shanghai 200433, P. R. China
- Institutes
of Biomedical Sciences, Fudan University, 131 Dongan Road, Shanghai 200032, China
| | - Weijia Zhang
- College
of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, P. R. China
- Institutes
of Biomedical Sciences, Fudan University, 131 Dongan Road, Shanghai 200032, China
| | - Liang Qiao
- Department
of Chemistry, Fudan University, Shanghai 200433, P. R. China
- Institutes
of Biomedical Sciences, Fudan University, 131 Dongan Road, Shanghai 200032, China
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Jiang X, Liu Y, Liu Q, Jing W, Qin K, Sui G. Rapid Capture and Analysis of Airborne Staphylococcus aureus in the Hospital Using a Microfluidic Chip. MICROMACHINES 2016; 7:mi7090169. [PMID: 30404341 PMCID: PMC6189950 DOI: 10.3390/mi7090169] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/03/2016] [Revised: 09/01/2016] [Accepted: 09/12/2016] [Indexed: 01/20/2023]
Abstract
In this study we developed a microfluidic chip for the rapid capture, enrichment and detection of airborne Staphylococcus (S.) aureus. The whole analysis took about 4 h and 40 min from airborne sample collection to loop-mediated isothermal amplification (LAMP), with a detection limit down to about 27 cells. The process did not require DNA purification. The chip was validated using standard bacteria bioaerosol and was directly used for clinical airborne pathogen sampling in hospital settings. This is the first report on the capture and analysis of airborne S. aureus using a novel microfluidic technique, a process that could have a very promising platform for hospital airborne infection prevention (HAIP).
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Affiliation(s)
- Xiran Jiang
- Department of Biomedical Engineering, Dalian University of Technology, Dalian 116024, China.
| | - Yingchao Liu
- Department of Neurosurgery, Provincial Hospital Affiliated to Shandong University, Jinan 250021, China.
| | - Qi Liu
- Department of Environmental Science & Engineering, Fudan University, Shanghai 200433, China.
| | - Wenwen Jing
- Department of Environmental Science & Engineering, Fudan University, Shanghai 200433, China.
| | - Kairong Qin
- Department of Biomedical Engineering, Dalian University of Technology, Dalian 116024, China.
| | - Guodong Sui
- Department of Environmental Science & Engineering, Fudan University, Shanghai 200433, China.
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8
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Jiang X, Jing W, Sun X, Liu Q, Yang C, Liu S, Qin K, Sui G. High-Throughput Microfluidic Device for LAMP Analysis of Airborne Bacteria. ACS Sens 2016. [DOI: 10.1021/acssensors.6b00282] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Affiliation(s)
- Xiran Jiang
- Department
of Biomedical Engineering, Dalian University of Technology, Dalian 116024, China
| | - Wenwen Jing
- Department of Environmental Science & Engineering, Fudan University, Shanghai 200433, China
| | - Xiaoting Sun
- Research
Center for Analytical Sciences, Northeastern University, Shenyang 110819, China
| | - Qi Liu
- Department of Environmental Science & Engineering, Fudan University, Shanghai 200433, China
| | - Chunguang Yang
- Research
Center for Analytical Sciences, Northeastern University, Shenyang 110819, China
| | - Sixiu Liu
- Department of Environmental Science & Engineering, Fudan University, Shanghai 200433, China
| | - Kairong Qin
- Department
of Biomedical Engineering, Dalian University of Technology, Dalian 116024, China
| | - Guodong Sui
- Department of Environmental Science & Engineering, Fudan University, Shanghai 200433, China
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