0% Complete
فارسی
Home
/
سی و دومین کنفرانس ملی و دهمین کنفرانس بین المللی مهندسی زیست پزشکی ایران
High-throughput microfluidic electroporation system using 3D-hydrodynamic focusing
Authors :
Zohre Nazemi Dehkordi
1
Ali Abouei Mehrizi
2
1- دانشگاه تهران
2- دانشگاه تهران
Keywords :
electroporation،3D-hydrodynamic focusing،microfluidic،transfection،intracellular delivery
Abstract :
Electroporation (EP) is a well-established, non-viral method of gene delivery that transiently permeates the cell membrane in response to high fields of applied electric field. Although a successful method, traditional bulk EP systems have major limitations including uneven distribution of the electric field, limited control over exposure of individual cells, and Joule heating which can limit cell viability. Microfluidics have become a valuable tool to overcome these issues of conventional EP by allowing more precise manipulation of fluid movement, localization of the electrified field, and control over individual cells. In this work, we describe a microfluidic electroporation platform that utilizes three-dimensional hydrodynamic focusing to concentrate cells in a narrow stream of fluid measuring 20 x 20 µm at the center of the channel. The vertical and horizontal sheath flow provides orthogonal flow confinement which provides uniform exposure of each cell to the applied electric field. Our electroporation platform has embedded planar electrodes beneath the sheath layers so that the electric field is localized across the focused cell stream while minimizing direct interaction of the electrodes with the cells. Based on numerical simulations in COMSOL Multiphysics it is predicted that flow confinement is stable; concentration profiles developed appropriately; and electric field strengths will be sufficient and under the optimal electroporation window (300–800 V/cm) at an applied voltage below 2 V. The design will provide consistent exposure times on the millisecond time-scale, which is appropriate for mammalian cell electroporation, while avoiding unwanted effects like Joule heating, electrolysis, and pH changes. In comparison to previously documented devices, the system presented has increased field uniformity, lower operating voltages and has better scalability for ongoing flow processes. These results are indicative of the promise that the combination of 3D hydrodynamic focusing and low-voltage microfluidic electroporation has in furthering intracellular delivery for cell therapy production and drug screening, as well as single cell analyzers.
Papers List
List of archived papers
DMAEMA-based photocrosslinkable hydrogels with injectable capabilities for smart drug delivery systems in implant infections
Fatemeh Haj Sadeghi - Vahid Haddadi Asl - Hanie Ahmadi
تاثیر هوش مصنوعی بر توسعه اقتصادی
سعید انور خطیبی - مهنا پیرایه جو
Anastomosis Angle Effects in Beating-Heart Coronary Bypass Grafts: A Fluid–Structure Interaction Study
Mohammad Saleh Kazemi - Nasser Fatouraee - Aisa Rassoli
هوش مصنوعی: چالشها، معایب و راهکارهای کاهش مخاطرات
سیدواحد موسوی - رضا رضا رادفر - سعید ستایشی
Kinematic Synergy Reconstruction Analysis for Assessing Gait Complexity and Adaptability in Children With Cerebral Palsy
Mahshad Nazari Jeirani - Yasamin Azmi - Mahya Shojaeefard - Masoud Yousefi - Farzam Farahmand
شناسایی و تفکیک خودکار ضایعات بیماری مولتیپل اسکلروزیس در MRI با استفاده از معماری بهینه شده U-NET
مریم فتحعلی زاده اصل سرکندی - علی پورقاسم
Leveraging Online Data to Enhance Medical Knowledge in a Small Persian Language Model
Mehrdad Ghassabi - Pedram Rostami - Hamidreza Baradaran kashani - Amirhossein Poursina - Zahra Kazemi - Milad Tavakoli
Deep Neural Network–Based Adaptive Global Logarithmic Sliding Mode Control for Lower-Limb Rehabilitation Exoskeletons
Masoud Shirzadeh - Ghoncheh Zand - Samim Kamyab
طراحی و تحلیل المان محدود ایمپلنت ماژولار شخصیسازیشده مفصل ران مبتنی بر تصاویر CT : تمرکز بر عملکرد اتصال مخروطی تحت بارهای عملکردی
کبری پیرمحمدی - رسول عابدی - سعد رئیسی
Comparative Analysis of Time-Frequency Representations for Pediatric Respiratory Sound Classification Using Deep Learning
Ghazaleh Shiri - Hanieh Bahrami - Alireza Fallahi
more
Samin Hamayesh - Version 43.6.0