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Cai G, Yang Z, Chen YC, Huang Y, Liang L, Feng S, Zhao J. Magnetic Bead Manipulation in Microfluidic Chips for Biological Application. CYBORG AND BIONIC SYSTEMS 2023; 4:0023. [PMID: 37287460 PMCID: PMC10243203 DOI: 10.34133/cbsystems.0023] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2022] [Accepted: 03/20/2023] [Indexed: 10/21/2023] Open
Abstract
Magnetic beads manipulation in microfluidic chips is a promising research field for biological application, especially in the detection of biological targets. In this review, we intend to present a thorough and in-depth overview of recent magnetic beads manipulation in microfluidic chips and its biological application. First, we introduce the mechanism of magnetic manipulation in microfluidic chip, including force analysis, particle properties, and surface modification. Then, we compare some existing methods of magnetic manipulation in microfluidic chip and list their biological application. Besides, the suggestions and outlook for future developments in the magnetic manipulation system are also discussed and summarized.
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Affiliation(s)
- Gaozhe Cai
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology,
Chinese Academy of Sciences, Shanghai 200050, China
| | - Zixin Yang
- School of Communication and Information Engineering,
Shanghai University, Shanghai 200444, China
| | - Yu-Cheng Chen
- School of Electrical and Electronics Engineering,
Nanyang Technological University, 50 Nanyang Ave., Singapore 639798, Singapore
| | - Yaru Huang
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology,
Chinese Academy of Sciences, Shanghai 200050, China
- School of Life Sciences,
Shanghai Normal University, Shanghai, 200235, China
| | - Lijuan Liang
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology,
Chinese Academy of Sciences, Shanghai 200050, China
| | - Shilun Feng
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology,
Chinese Academy of Sciences, Shanghai 200050, China
- Center of Materials Science and Optoelectronics Engineering,
University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jianlong Zhao
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology,
Chinese Academy of Sciences, Shanghai 200050, China
- Center of Materials Science and Optoelectronics Engineering,
University of Chinese Academy of Sciences, Beijing 100049, China
- Xiangfu Laboratory, Jiaxing, Zhejiang 314102, China
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Zhang T, Zhao W, Chen X, Zhang X, Zhu J, Li S, Wu C, Tian Z, Sui G. Fully Automated CRISPR-LAMP Platform for SARS-CoV-2 Delta and Omicron Variants. Anal Chem 2022; 94:15472-15480. [PMID: 36282886 DOI: 10.1021/acs.analchem.2c03607] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Integrated clustered regularly interspaced short palindromic repeat (CRISPR)-loop-mediated amplification (LAMP) technology is of great importance in CRISPR-based diagnostic systems, which urgently needs to be developed to improve diagnostic accuracy. A labor-free, contamination-free, and fully automated droplet manipulation platform for the CRISPR-LAMP technology has not been developed before. Herein, we propose a fully automated CRISPR-LAMP platform, which can precisely manipulate the CRISPR-LAMP droplet and perform combined reactions with high sensitivity and specificity. SARS-CoV-2 Spike T478K, D614G, P681R, and P681H mutations, typical point mutations of B.1.617.2 (Delta) and Omicron variants, are monitored with this platform with a detection limit of 102 copies/μL. Allele discrimination between the mutants and wild type is significant with the designed one/two-mismatch CRISPR RNA (crRNA) at a limit of 102 copies/μL. Chemically synthesized and modified crRNAs greatly increase the CRISPR-LAMP signal, which advance the wide application. Combined with the previously developed RdRp CRISPR-LAMP assay, clinical results showed that Spike T478K and P681H can discriminate the mutant type form the wild type with 70% (49.66-85.50%, 95% confidence interval) and 78% (57.27-90.62%, 95% confidence interval) sensitivity, respectively, and 100% specificity (51.68-100%, 95% confidence interval), and the RdRp target can detect SARS-CoV-2 strains with 85% sensitivity (65.39-95.14%, 95% confidence interval) and 100% specificity (51.68-100%, 95% confidence interval). We believe that this automatic digital microfluid (DMF) system can advance the integrated CRISPR-LAMP technology with higher stability, sensitivity, and practicability, also for other CRISPR-associated diagnostic platforms.
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Affiliation(s)
- Tong Zhang
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Fudan University, 2205 Songhu Road, Shanghai 200433, P. R. China
| | - Wang Zhao
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Fudan University, 2205 Songhu Road, Shanghai 200433, P. R. China
| | - Xi Chen
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Fudan University, 2205 Songhu Road, Shanghai 200433, P. R. China
| | - Xinlian Zhang
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Fudan University, 2205 Songhu Road, Shanghai 200433, P. R. China
| | - Jinhui Zhu
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Fudan University, 2205 Songhu Road, Shanghai 200433, P. R. China
| | - Shenwei Li
- Shanghai International Travel Healthcare Center (Shanghai Customs Port Clinic), 2090 Jinqiao Road, Shanghai 200433, P. R. China
| | - Chuanyong Wu
- Shanghai Hengxin BioTechnology, 1688 North Guo Quan Road, Bldg A8, Rm 801, Shanghai 200438, P. R. China
| | - Zhengan Tian
- Shanghai International Travel Healthcare Center (Shanghai Customs Port Clinic), 2090 Jinqiao Road, Shanghai 200433, P. R. China
| | - Guodong Sui
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Fudan University, 2205 Songhu Road, Shanghai 200433, P. R. China
- Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai 200032, P. R. China
- Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing University of Information Science & Technology, Nanjing 210044, P. R. China
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Lee WC, Cheong FW, Amir A, Lai MY, Tan JH, Phang WK, Shahari S, Lau YL. Plasmodium knowlesi: the game changer for malaria eradication. Malar J 2022; 21:140. [PMID: 35505339 PMCID: PMC9066973 DOI: 10.1186/s12936-022-04131-8] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Accepted: 03/18/2022] [Indexed: 11/12/2022] Open
Abstract
Plasmodium knowlesi is a zoonotic malaria parasite that has gained increasing medical interest over the past two decades. This zoonotic parasitic infection is prevalent in Southeast Asia and causes many cases with fulminant pathology. Despite several biogeographical restrictions that limit its distribution, knowlesi malaria cases have been reported in different parts of the world due to travelling and tourism activities. Here, breakthroughs and key information generated from recent (over the past five years, but not limited to) studies conducted on P. knowlesi were reviewed, and the knowledge gap in various research aspects that need to be filled was discussed. Besides, challenges and strategies required to control and eradicate human malaria with this emerging and potentially fatal zoonosis were described.
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Affiliation(s)
- Wenn-Chyau Lee
- Department of Parasitology, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia
| | - Fei Wen Cheong
- Department of Parasitology, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia
| | - Amirah Amir
- Department of Parasitology, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia
| | - Meng Yee Lai
- Department of Parasitology, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia
| | - Jia Hui Tan
- Department of Parasitology, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia
| | - Wei Kit Phang
- Department of Parasitology, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia
| | - Shahhaziq Shahari
- Department of Parasitology, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia
| | - Yee-Ling Lau
- Department of Parasitology, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia.
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