ArticleBiomicrofluidics2018
Enhanced separation of aged RBCs by designing channel cross section.
Article in Biomicrofluidics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Blood component separation in straight microfluidic channels.Biomicrofluidics · 2023Article
- Assessment of stored red blood cells through lab-on-a-chip technologies for precision transfusion medicine.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Advances in Microfluidics for Single Red Blood Cell Analysis.Biosensors · 2023Review
- Storage-Induced Micro-Erythrocytes Can Be Quantified and Sorted by Flow Cytometry.Frontiers in physiology · 2022Article
- Blood Particulate Analogue Fluids: A Review.Materials (Basel, Switzerland) · 2021Review
- Article
- Integrated automated particle tracking microfluidic enables high-throughput cell deformability cytometry for red cell disorders.American journal of hematology · 2019Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Prolonged storage will alter the biophysical properties of red blood cells (RBCs), and it decreases the quality of stored blood for blood transfusion. It has been known that less deformable aged RBCs can be separated by margination, but the recognition of the storage time from the separation efficiency of the stiff RBCs is still a challenge. In this study, we realized enhanced separation of aged RBCs from normal RBCs by controlling the channel cross section and demonstrated that the storage time can be deduced from the percentage of the separated RBCs in the stored RBCs. This separation technology helps to reveal the regulation of time on the RBC aging mechanism and offer a new method to separate stiffened cells with high efficiency.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.