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Wang Z, Zhou X, Kong Q, He H, Sun J, Qiu W, Zhang L, Yang M. Extracellular Vesicle Preparation and Analysis: A State-of-the-Art Review. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024:e2401069. [PMID: 38874129 DOI: 10.1002/advs.202401069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Revised: 04/11/2024] [Indexed: 06/15/2024]
Abstract
In recent decades, research on Extracellular Vesicles (EVs) has gained prominence in the life sciences due to their critical roles in both health and disease states, offering promising applications in disease diagnosis, drug delivery, and therapy. However, their inherent heterogeneity and complex origins pose significant challenges to their preparation, analysis, and subsequent clinical application. This review is structured to provide an overview of the biogenesis, composition, and various sources of EVs, thereby laying the groundwork for a detailed discussion of contemporary techniques for their preparation and analysis. Particular focus is given to state-of-the-art technologies that employ both microfluidic and non-microfluidic platforms for EV processing. Furthermore, this discourse extends into innovative approaches that incorporate artificial intelligence and cutting-edge electrochemical sensors, with a particular emphasis on single EV analysis. This review proposes current challenges and outlines prospective avenues for future research. The objective is to motivate researchers to innovate and expand methods for the preparation and analysis of EVs, fully unlocking their biomedical potential.
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Affiliation(s)
- Zesheng Wang
- Department of Precision Diagnostic and Therapeutic Technology, City University of Hong Kong Shenzhen Futian Research Institute, Shenzhen, Guangdong, 518000, P. R. China
- Department of Biomedical Sciences, and Tung Biomedical Sciences Centre, City University of Hong Kong, Hong Kong, 999077, P. R. China
- Key Laboratory of Biochip Technology, Biotech and Health Centre, Shenzhen Research Institute of City University of Hong Kong, Shenzhen, 518057, P. R. China
| | - Xiaoyu Zhou
- Department of Precision Diagnostic and Therapeutic Technology, City University of Hong Kong Shenzhen Futian Research Institute, Shenzhen, Guangdong, 518000, P. R. China
- Department of Biomedical Sciences, and Tung Biomedical Sciences Centre, City University of Hong Kong, Hong Kong, 999077, P. R. China
- Key Laboratory of Biochip Technology, Biotech and Health Centre, Shenzhen Research Institute of City University of Hong Kong, Shenzhen, 518057, P. R. China
| | - Qinglong Kong
- The Second Department of Thoracic Surgery, Dalian Municipal Central Hospital, Dalian, 116033, P. R. China
| | - Huimin He
- Department of Precision Diagnostic and Therapeutic Technology, City University of Hong Kong Shenzhen Futian Research Institute, Shenzhen, Guangdong, 518000, P. R. China
- Department of Biomedical Sciences, and Tung Biomedical Sciences Centre, City University of Hong Kong, Hong Kong, 999077, P. R. China
- Key Laboratory of Biochip Technology, Biotech and Health Centre, Shenzhen Research Institute of City University of Hong Kong, Shenzhen, 518057, P. R. China
| | - Jiayu Sun
- Department of Precision Diagnostic and Therapeutic Technology, City University of Hong Kong Shenzhen Futian Research Institute, Shenzhen, Guangdong, 518000, P. R. China
- Department of Biomedical Sciences, and Tung Biomedical Sciences Centre, City University of Hong Kong, Hong Kong, 999077, P. R. China
| | - Wenting Qiu
- Department of Precision Diagnostic and Therapeutic Technology, City University of Hong Kong Shenzhen Futian Research Institute, Shenzhen, Guangdong, 518000, P. R. China
- Department of Biomedical Sciences, and Tung Biomedical Sciences Centre, City University of Hong Kong, Hong Kong, 999077, P. R. China
| | - Liang Zhang
- Department of Precision Diagnostic and Therapeutic Technology, City University of Hong Kong Shenzhen Futian Research Institute, Shenzhen, Guangdong, 518000, P. R. China
- Department of Biomedical Sciences, and Tung Biomedical Sciences Centre, City University of Hong Kong, Hong Kong, 999077, P. R. China
- Key Laboratory of Biochip Technology, Biotech and Health Centre, Shenzhen Research Institute of City University of Hong Kong, Shenzhen, 518057, P. R. China
| | - Mengsu Yang
- Department of Precision Diagnostic and Therapeutic Technology, City University of Hong Kong Shenzhen Futian Research Institute, Shenzhen, Guangdong, 518000, P. R. China
- Department of Biomedical Sciences, and Tung Biomedical Sciences Centre, City University of Hong Kong, Hong Kong, 999077, P. R. China
- Key Laboratory of Biochip Technology, Biotech and Health Centre, Shenzhen Research Institute of City University of Hong Kong, Shenzhen, 518057, P. R. China
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Wu X, Niu J, Shi Y. Exosomes target HBV-host interactions to remodel the hepatic immune microenvironment. J Nanobiotechnology 2024; 22:315. [PMID: 38840207 PMCID: PMC11151510 DOI: 10.1186/s12951-024-02544-y] [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: 11/21/2023] [Accepted: 05/09/2024] [Indexed: 06/07/2024] Open
Abstract
Chronic hepatitis B poses a significant global burden, modulating immune cells, leading to chronic inflammation and long-term damage. Due to its hepatotropism, the hepatitis B virus (HBV) cannot infect other cells. The mechanisms underlying the intercellular communication among different liver cells in HBV-infected individuals and the immune microenvironment imbalance remain elusive. Exosomes, as important intercellular communication and cargo transportation tools between HBV-infected hepatocytes and immune cells, have been shown to assist in HBV cargo transportation and regulate the immune microenvironment. However, the role of exosomes in hepatitis B has only gradually received attention in recent years. Minimal literature has systematically elaborated on the role of exosomes in reshaping the immune microenvironment of the liver. This review unfolds sequentially based on the biological processes of exosomes: exosomes' biogenesis, release, transport, uptake by recipient cells, and their impact on recipient cells. We delineate how HBV influences the biogenesis of exosomes, utilizing exosomal covert transmission, and reshapes the hepatic immune microenvironment. And based on the characteristics and functions of exosomes, potential applications of exosomes in hepatitis B are summarized and predicted.
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Affiliation(s)
- Xiaojing Wu
- Department of Hepatology, Center of Infectious Diseases and Pathogen Biology, The First Hospital of Jilin University, Changchun, Jilin, 130021, People's Republic of China
| | - Junqi Niu
- Department of Hepatology, Center of Infectious Diseases and Pathogen Biology, The First Hospital of Jilin University, Changchun, Jilin, 130021, People's Republic of China.
| | - Ying Shi
- Department of Hepatology, Center of Infectious Diseases and Pathogen Biology, The First Hospital of Jilin University, Changchun, Jilin, 130021, People's Republic of China.
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Chen J, Zheng M, Xiao Q, Wang H, Chi C, Lin T, Wang Y, Yi X, Zhu L. Recent Advances in Microfluidic-Based Extracellular Vesicle Analysis. MICROMACHINES 2024; 15:630. [PMID: 38793203 PMCID: PMC11122811 DOI: 10.3390/mi15050630] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2024] [Revised: 04/29/2024] [Accepted: 05/03/2024] [Indexed: 05/26/2024]
Abstract
Extracellular vesicles (EVs) serve as vital messengers, facilitating communication between cells, and exhibit tremendous potential in the diagnosis and treatment of diseases. However, conventional EV isolation methods are labor-intensive, and they harvest EVs with low purity and compromised recovery. In addition, the drawbacks, such as the limited sensitivity and specificity of traditional EV analysis methods, hinder the application of EVs in clinical use. Therefore, it is urgent to develop effective and standardized methods for isolating and detecting EVs. Microfluidics technology is a powerful and rapidly developing technology that has been introduced as a potential solution for the above bottlenecks. It holds the advantages of high integration, short analysis time, and low consumption of samples and reagents. In this review, we summarize the traditional techniques alongside microfluidic-based methodologies for the isolation and detection of EVs. We emphasize the distinct advantages of microfluidic technology in enhancing the capture efficiency and precise targeting of extracellular vesicles (EVs). We also explore its analytical role in targeted detection. Furthermore, this review highlights the transformative impact of microfluidic technology on EV analysis, with the potential to achieve automated and high-throughput EV detection in clinical samples.
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Affiliation(s)
- Jiming Chen
- Department of Basic Medicine, Xiamen Medical College, Xiamen 361023, China; (J.C.); (M.Z.); (Q.X.); (H.W.); (C.C.); (T.L.); (Y.W.)
- Key Laboratory of Functional and Clinical Translational Medicine, Fujian Province University, Xiamen 361023, China
- Institute of Respiratory Diseases, Xiamen Medical College, Xiamen 361023, China
| | - Meiyu Zheng
- Department of Basic Medicine, Xiamen Medical College, Xiamen 361023, China; (J.C.); (M.Z.); (Q.X.); (H.W.); (C.C.); (T.L.); (Y.W.)
- Key Laboratory of Functional and Clinical Translational Medicine, Fujian Province University, Xiamen 361023, China
- Institute of Respiratory Diseases, Xiamen Medical College, Xiamen 361023, China
| | - Qiaoling Xiao
- Department of Basic Medicine, Xiamen Medical College, Xiamen 361023, China; (J.C.); (M.Z.); (Q.X.); (H.W.); (C.C.); (T.L.); (Y.W.)
- Key Laboratory of Functional and Clinical Translational Medicine, Fujian Province University, Xiamen 361023, China
- Institute of Respiratory Diseases, Xiamen Medical College, Xiamen 361023, China
| | - Hui Wang
- Department of Basic Medicine, Xiamen Medical College, Xiamen 361023, China; (J.C.); (M.Z.); (Q.X.); (H.W.); (C.C.); (T.L.); (Y.W.)
- Key Laboratory of Functional and Clinical Translational Medicine, Fujian Province University, Xiamen 361023, China
- Institute of Respiratory Diseases, Xiamen Medical College, Xiamen 361023, China
| | - Caixing Chi
- Department of Basic Medicine, Xiamen Medical College, Xiamen 361023, China; (J.C.); (M.Z.); (Q.X.); (H.W.); (C.C.); (T.L.); (Y.W.)
- Key Laboratory of Functional and Clinical Translational Medicine, Fujian Province University, Xiamen 361023, China
- Institute of Respiratory Diseases, Xiamen Medical College, Xiamen 361023, China
| | - Tahui Lin
- Department of Basic Medicine, Xiamen Medical College, Xiamen 361023, China; (J.C.); (M.Z.); (Q.X.); (H.W.); (C.C.); (T.L.); (Y.W.)
- Key Laboratory of Functional and Clinical Translational Medicine, Fujian Province University, Xiamen 361023, China
- Institute of Respiratory Diseases, Xiamen Medical College, Xiamen 361023, China
| | - Yulin Wang
- Department of Basic Medicine, Xiamen Medical College, Xiamen 361023, China; (J.C.); (M.Z.); (Q.X.); (H.W.); (C.C.); (T.L.); (Y.W.)
- Key Laboratory of Functional and Clinical Translational Medicine, Fujian Province University, Xiamen 361023, China
- Institute of Respiratory Diseases, Xiamen Medical College, Xiamen 361023, China
| | - Xue Yi
- Department of Basic Medicine, Xiamen Medical College, Xiamen 361023, China; (J.C.); (M.Z.); (Q.X.); (H.W.); (C.C.); (T.L.); (Y.W.)
- Key Laboratory of Functional and Clinical Translational Medicine, Fujian Province University, Xiamen 361023, China
- Institute of Respiratory Diseases, Xiamen Medical College, Xiamen 361023, China
| | - Lin Zhu
- Department of Basic Medicine, Xiamen Medical College, Xiamen 361023, China; (J.C.); (M.Z.); (Q.X.); (H.W.); (C.C.); (T.L.); (Y.W.)
- Key Laboratory of Functional and Clinical Translational Medicine, Fujian Province University, Xiamen 361023, China
- Institute of Respiratory Diseases, Xiamen Medical College, Xiamen 361023, China
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Li K, Li T, Yu Z, Yuan Q, Qing Y. Hsa_circ_0124554 may serve as a biomarker for the diagnosis of colorectal cancer: An observational study. Medicine (Baltimore) 2023; 102:e36353. [PMID: 38050241 PMCID: PMC10695620 DOI: 10.1097/md.0000000000036353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Accepted: 11/07/2023] [Indexed: 12/06/2023] Open
Abstract
Circular RNAs (circRNAs) play important roles in the occurrence and development of cancer, and have been shown with diagnostic values in various cancers. The latest research showed that hsa_circ_0124554 is closely related to liver metastasis and vascular invasion in colorectal cancer (CRC). This study aimed to investigate whether hsa_circ_0124554 can be used as a diagnostic marker for CRC. In this study, quantitative reverse transcriptase polymerase chain reaction (qRT-PCR) was used to detect hsa_circ_0124554 expression levels in 40 pairs of CRC tissues and adjacent non-tumor intestinal tissues derived from CRC patients and 32 paired plasma specimens. The relationship between the expression of hsa_circ_0124554 and the clinicopathological features of CRC patients was analyzed by t-test and chi-square test. Receiver operating characteristic (ROC) curve analysis was established to explore the diagnostic value of hsa_circ_0124554 in CRC. The results showed that hsa_circ_0124554 was substantially expressed in CRC tissues (P < .001) and that there were variations in pathological differentiation, perineural invasion and invasion. The expression of hsa_circ_0124554 in CRC patients was considerably higher than healthy controls (P < .001). The area under the receiver operating characteristic (ROC) curve (AUC) of tissue and plasma hsa_circ_0124554 was 0.703 and 0.742. The AUC of the expression combined hsa_circ_0124554, carcinoembryonic antigen (CEA) and carbohydrate antigen 19-9 (CA19-9) had the best diagnostic performance (AUC = 0.899) in the CRC groups, and the sensitivity and specificity were 0.844 and 0.844. The expression of hsa_circ_0124554 was up-regulated in the tissues and plasma in CRC patients, which may be a new biomarker for the diagnosis of CRC. The combination hsa_circ_0124554, CEA and CA199 has the best diagnostic efficacy in CRC.
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Affiliation(s)
- Kexin Li
- Department of Colorectal and Anal Surgery, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China
| | - Tong Li
- Department of Colorectal and Anal Surgery, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China
| | - Zhuocheng Yu
- Department of Colorectal and Anal Surgery, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China
| | - Qingqing Yuan
- Department of Colorectal and Anal Surgery, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China
| | - Yanping Qing
- Department of Colorectal and Anal Surgery, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China
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Liu F, Hao X, Liu B, Liu S, Yuan Y. Bile liquid biopsy in biliary tract cancer. Clin Chim Acta 2023; 551:117593. [PMID: 37839517 DOI: 10.1016/j.cca.2023.117593] [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: 08/15/2023] [Revised: 10/08/2023] [Accepted: 10/10/2023] [Indexed: 10/17/2023]
Abstract
Biliary tract cancers are heterogeneous in etiology, morphology and molecular characteristics thus impacting disease management. Diagnosis is complex and prognosis poor. The advent of liquid biopsy has provided a unique approach to more thoroughly understand tumor biology in general and biliary tract cancers specifically. Due to their minimally invasive nature, liquid biopsy can be used to serially monitor disease progression and allow real-time monitoring of tumor genetic profiles as well as therapeutic response. Due to the unique anatomic location of biliary tract cancer, bile provides a promising biologic fluid for this purpose. This review focuses on the composition of bile and the use of these various components, ie, cells, extracellular vesicles, nucleic acids, proteins and metabolites as potential biomarkers. Based on the disease characteristics and research status of biliary tract cancer, considerable effort should be made to increase understanding of this disease, promote research and development into early diagnosis, develop efficient diagnostic, therapeutic and prognostic markers.
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Affiliation(s)
- Fusheng Liu
- Department of Hepatobiliary & Pancreatic Surgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei, PR China; Clinical Medicine Research Center for Minimally Invasive Procedure of Hepatobiliary & Pancreatic Diseases of Hubei Province, Wuhan, 430071, Hubei, PR China
| | - Xingyuan Hao
- Department of Hepatobiliary & Pancreatic Surgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei, PR China; Clinical Medicine Research Center for Minimally Invasive Procedure of Hepatobiliary & Pancreatic Diseases of Hubei Province, Wuhan, 430071, Hubei, PR China
| | - Bin Liu
- Department of Hepatobiliary & Pancreatic Surgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei, PR China; Clinical Medicine Research Center for Minimally Invasive Procedure of Hepatobiliary & Pancreatic Diseases of Hubei Province, Wuhan, 430071, Hubei, PR China
| | - Songmei Liu
- Department of Clinical Laboratory, Center for Gene Diagnosis, and Program of Clinical Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei, PR China
| | - Yufeng Yuan
- Department of Hepatobiliary & Pancreatic Surgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei, PR China; Clinical Medicine Research Center for Minimally Invasive Procedure of Hepatobiliary & Pancreatic Diseases of Hubei Province, Wuhan, 430071, Hubei, PR China; TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan, 430071, Hubei, PR China.
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Beniwal SS, Lamo P, Kaushik A, Lorenzo-Villegas DL, Liu Y, MohanaSundaram A. Current Status and Emerging Trends in Colorectal Cancer Screening and Diagnostics. BIOSENSORS 2023; 13:926. [PMID: 37887119 PMCID: PMC10605407 DOI: 10.3390/bios13100926] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Revised: 09/27/2023] [Accepted: 10/07/2023] [Indexed: 10/28/2023]
Abstract
Colorectal cancer (CRC) is a prevalent and potentially fatal disease categorized based on its high incidences and mortality rates, which raised the need for effective diagnostic strategies for the early detection and management of CRC. While there are several conventional cancer diagnostics available, they have certain limitations that hinder their effectiveness. Significant research efforts are currently being dedicated to elucidating novel methodologies that aim at comprehending the intricate molecular mechanism that underlies CRC. Recently, microfluidic diagnostics have emerged as a pivotal solution, offering non-invasive approaches to real-time monitoring of disease progression and treatment response. Microfluidic devices enable the integration of multiple sample preparation steps into a single platform, which speeds up processing and improves sensitivity. Such advancements in diagnostic technologies hold immense promise for revolutionizing the field of CRC diagnosis and enabling efficient detection and monitoring strategies. This article elucidates several of the latest developments in microfluidic technology for CRC diagnostics. In addition to the advancements in microfluidic technology for CRC diagnostics, the integration of artificial intelligence (AI) holds great promise for further enhancing diagnostic capabilities. Advancements in microfluidic systems and AI-driven approaches can revolutionize colorectal cancer diagnostics, offering accurate, efficient, and personalized strategies to improve patient outcomes and transform cancer management.
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Affiliation(s)
| | - Paula Lamo
- Escuela Superior de Ingeniería y Tecnología, Universidad Internacional de La Rioja, 26006 Logroño, Spain
| | - Ajeet Kaushik
- NanoBioTech Laboratory, Department of Environmental Engineering, Florida Polytechnic University, Lakeland, FL 33805, USA
| | | | - Yuguang Liu
- Departments of Physiology and Biomedical Engineering, Immunology and Surgery, Microbiome Program, Center for Individualized Medicine, Mayo Clinic, Rochester, MN 55905, USA
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Kokabi M, Tahir MN, Singh D, Javanmard M. Advancing Healthcare: Synergizing Biosensors and Machine Learning for Early Cancer Diagnosis. BIOSENSORS 2023; 13:884. [PMID: 37754118 PMCID: PMC10526782 DOI: 10.3390/bios13090884] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 09/08/2023] [Accepted: 09/09/2023] [Indexed: 09/28/2023]
Abstract
Cancer is a fatal disease and a significant cause of millions of deaths. Traditional methods for cancer detection often have limitations in identifying the disease in its early stages, and they can be expensive and time-consuming. Since cancer typically lacks symptoms and is often only detected at advanced stages, it is crucial to use affordable technologies that can provide quick results at the point of care for early diagnosis. Biosensors that target specific biomarkers associated with different types of cancer offer an alternative diagnostic approach at the point of care. Recent advancements in manufacturing and design technologies have enabled the miniaturization and cost reduction of point-of-care devices, making them practical for diagnosing various cancer diseases. Furthermore, machine learning (ML) algorithms have been employed to analyze sensor data and extract valuable information through the use of statistical techniques. In this review paper, we provide details on how various machine learning algorithms contribute to the ongoing development of advanced data processing techniques for biosensors, which are continually emerging. We also provide information on the various technologies used in point-of-care cancer diagnostic biosensors, along with a comparison of the performance of different ML algorithms and sensing modalities in terms of classification accuracy.
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Affiliation(s)
| | | | | | - Mehdi Javanmard
- Department of Electrical and Computer Engineering, Rutgers the State University of New Jersey, Piscataway, NJ 08854, USA; (M.K.); (M.N.T.); (D.S.)
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Chen L, Guo X, Sun X, Zhang S, Wu J, Yu H, Zhang T, Cheng W, Shi Y, Pan L. Porous Structural Microfluidic Device for Biomedical Diagnosis: A Review. MICROMACHINES 2023; 14:547. [PMID: 36984956 PMCID: PMC10051279 DOI: 10.3390/mi14030547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 02/21/2023] [Accepted: 02/22/2023] [Indexed: 06/18/2023]
Abstract
Microfluidics has recently received more and more attention in applications such as biomedical, chemical and medicine. With the development of microelectronics technology as well as material science in recent years, microfluidic devices have made great progress. Porous structures as a discontinuous medium in which the special flow phenomena of fluids lead to their potential and special applications in microfluidics offer a unique way to develop completely new microfluidic chips. In this article, we firstly introduce the fabrication methods for porous structures of different materials. Then, the physical effects of microfluid flow in porous media and their related physical models are discussed. Finally, the state-of-the-art porous microfluidic chips and their applications in biomedicine are summarized, and we present the current problems and future directions in this field.
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Affiliation(s)
| | | | - Xidi Sun
- Correspondence: (X.S.); (Y.S.); (L.P.)
| | | | | | | | | | | | - Yi Shi
- Correspondence: (X.S.); (Y.S.); (L.P.)
| | - Lijia Pan
- Correspondence: (X.S.); (Y.S.); (L.P.)
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