Exosomes have gained recognition in cancer diagnostics and therapeutics. However, most exosome isolation methods are time-consuming, costly, and require bulky equipment, rendering them unsuitable for point-of-care (POC) settings. Microfluidics can be the key to solving these challenges. Here, we present a double filtration microfluidic device that can rapidly isolate exosomes via size-exclusion principles in POC settings. The device can efficiently isolate exosomes from 50-100 µL of plasma within 50 min. The device was compared against an already established exosome isolation method, polyethylene glycol (PEG)-based precipitation. The findings showed that both methods yield comparable exosome sizes and purity; however, exosomes isolated from the device exhibited an earlier miRNA detection compared to exosomes obtained from the PEG-based isolation. A comparative analysis of exosomes collected from membrane filters with 15 nm and 30 nm pore sizes showed a similarity in exosome size and miRNA detection, with significantly increased sample purity. Finally, TEM images were taken to analyze how the developed devices and PEG-based isolation alter exosome morphology and to analyze exosome sizes. This developed microfluidic device is cost-efficient and time-efficient. Thus, it is ideal for use in low-resourced and POC settings to aid in cancer and disease diagnostics and therapeutics.
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http://dx.doi.org/10.3390/s23198292 | DOI Listing |
Int J Nanomedicine
January 2025
School of Pharmacy, Changzhou University, Changzhou, People's Republic of China.
Introduction: Osteoarthritis (OA) is a degenerative joint disease characterized by articular cartilage degeneration. Chondrocyte inflammation, apoptosis, and extracellular matrix degradation accelerated OA progression. MicroRNA (miRNA) has the potential to be a therapeutic method for osteoarthritis.
View Article and Find Full Text PDFACS Omega
January 2025
Chair of Analytical Chemistry, Institute of Chemistry, University of Tartu, Ravila 14a, 50411Tartu, Estonia.
Water is an essential part of everyday life, and similarly, numerous industries depend on it. Regular water analysis is needed for both home use and in more specific fields, e.g.
View Article and Find Full Text PDFACS Omega
January 2025
Advanced Energy Systems and Microdevices Laboratory, Department of Mechanical and Industrial Engineering, New Jersey Institute of Technology, Newark, New Jersey 07102, United States.
The microfluidic-based point-of-care (POC) diagnostic tool has garnered significant interest in recent years, offering rapid and cost-effective disease detection. There is a growing trend toward integrating microfluidic platforms with biosensors, aligning lab-on-a-chip technologies with POC diagnostic devices. Despite numerous efforts to incorporate biosensors into microfluidic systems, researchers have performed very limited investigations on the stability of biomarker detection when biosensors operate under microfluidic shear flow conditions.
View Article and Find Full Text PDFTalanta
January 2025
Medical School of Tianjin University, Academy of Medical Engineering and Translational Medicine, Tianjin, 300072, China. Electronic address:
Atherosclerosis-induced cardiovascular diseases are a leading cause of disability and mortality worldwide. Currently, clinical diagnosis of atherosclerosis relies on analysis and assessment by large medical equipment and specialized professionals, involving invasive testing, which limits early detection and prognosis of atherosclerosis. Herein, this work develops a flexible wearable ring sensor for non-invasive real-time in situ monitoring of biomarkers associated with atherosclerosis.
View Article and Find Full Text PDFAnal Biochem
January 2025
Department of Analytical Chemistry, Faculty of Chemistry, Razi University, Kermanshah, Iran.
H5N1 flu is a highly virulent and variable subtype of influenza with significant epidemic and pandemic potential. In this study, we introduce a novel, maskless, and rapid manufacturing process for a microfluidic chip integrated with electrodes for the quantitative detection of H5N1-DNA sequences. This detection leverages a catalytic redox-recycling signal via a novel Fe₃O₄@TMU-8 nanocomposite, which facilitates the turnover of the oxidation state of [Ru(NH₃)₆]³⁺, thereby amplifying the electrochemical signal output.
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