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2.5-Dimensional Parylene C micropore array with a large area and a high porosity for high-throughput particle and cell separation 被引量:2

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摘要 Large-area micropore arrays with a high porosity are in high demand because of their promising potential in liquid biopsy with a large volume of clinical sample.However,a micropore array with a large area and a high porosity faces a serious mechanical strength challenge.The filtration membrane may undergo large deformation at a high filtration throughput,which will decrease its size separation accuracy.In this work,a keyhole-free Parylene molding process has been developed to prepare a large(>20 mm×20 mm)filtration membrane containing a 2.5-dimensional(2.5D)micropore array with an ultra-high porosity(up to 91.37% with designed pore diameter/space of 100μm/4μm).The notation 2.5D indicates that the large area and the relatively small thickness(approximately 10μm)of the fabricated membranes represent 2D properties,while the large thickness-to-width ratio(10μm/<4μm)of the spaces between the adjacent pores corresponds to a local 3D feature.The large area and high porosity of the micropore array achieved filtration with a throughput up to 180 mL/min(PBS solution)simply driven by gravity.Meanwhile,the high mechanical strength,benefiting from the 2.5D structure of the micropore array,ensured a negligible pore size variation during the high-throughput filtration,thereby enabling high size resolution separation,which was proven by single-layer and multi-layer filtrations for particle separation.Furthermore,as a preliminary demonstration,the prepared 2.5-dimensional Parylene C micropore array was implemented as an efficient filter for rare cancer cell separation from a large volume,approximately 10 cells in 10 mL PBS and undiluted urine,with high recovery rates of 87±13% and 56±13%,respectively.
出处 《Microsystems & Nanoengineering》 EI CSCD 2018年第1期286-297,共12页 微系统与纳米工程(英文)
基金 This work was financially supported by the Major State Basic Research Development Program(973 Program,Grant No.2015CB352100) the National Natural Science Foundation of China(Grant Nos.81471750 and 91323304) the Beijing Natural Science Foundation(Grant No.4172028) the Seeding Grant for Medicine and Information Sciences(2016-MI-04)awarded by Peking University.
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