Literature DB >> 27014397

The mechanical properties of stored red blood cells measured by a convenient microfluidic approach combining with mathematic model.

Ying Wang1, Guoxing You1, Peipei Chen2, Jianjun Li2, Gan Chen1, Bo Wang1, Penglong Li1, Dong Han2, Hong Zhou1, Lian Zhao1.   

Abstract

The mechanical properties of red blood cells (RBCs) are critical to the rheological and hemodynamic behavior of blood. Although measurements of the mechanical properties of RBCs have been studied for many years, the existing methods, such as ektacytometry, micropipette aspiration, and microfluidic approaches, still have limitations. Mechanical changes to RBCs during storage play an important role in transfusions, and so need to be evaluated pre-transfusion, which demands a convenient and rapid detection method. We present a microfluidic approach that focuses on the mechanical properties of single cell under physiological shear flow and does not require any high-end equipment, like a high-speed camera. Using this method, the images of stretched RBCs under physical shear can be obtained. The subsequent analysis, combined with mathematic models, gives the deformability distribution, the morphology distribution, the normalized curvature, and the Young's modulus (E) of the stored RBCs. The deformability index and the morphology distribution show that the deformability of RBCs decreases significantly with storage time. The normalized curvature, which is defined as the curvature of the cell tail during stretching in flow, suggests that the surface charge of the stored RBCs decreases significantly. According to the mathematic model, which derives from the relation between shear stress and the adherent cells' extension ratio, the Young's moduli of the stored RBCs are also calculated and show significant increase with storage. Therefore, the present method is capable of representing the mechanical properties and can distinguish the mechanical changes of the RBCs during storage. The advantages of this method are the small sample needed, high-throughput, and easy-use, which make it promising for the quality monitoring of RBCs.

Year:  2016        PMID: 27014397      PMCID: PMC4788599          DOI: 10.1063/1.4943861

Source DB:  PubMed          Journal:  Biomicrofluidics        ISSN: 1932-1058            Impact factor:   2.800


  44 in total

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Journal:  Transfusion       Date:  2008-02-22       Impact factor: 3.157

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Journal:  J Microsc       Date:  2007-08       Impact factor: 1.758

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Authors:  Yi Zheng; Mark A Cachia; Ji Ge; Zhensong Xu; Chen Wang; Yu Sun
Journal:  Lab Chip       Date:  2015-08-07       Impact factor: 6.799

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Journal:  Biophys J       Date:  1973-08       Impact factor: 4.033

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Journal:  Transfusion       Date:  1969 Sep-Oct       Impact factor: 3.157

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Authors:  Yunus Alapan; Jane A Little; Umut A Gurkan
Journal:  Sci Rep       Date:  2014-11-24       Impact factor: 4.379

10.  Progressive oxidation of cytoskeletal proteins and accumulation of denatured hemoglobin in stored red cells.

Authors:  Anastasios G Kriebardis; Marianna H Antonelou; Konstantinos E Stamoulis; Effrosini Economou-Petersen; Lukas H Margaritis; Issidora S Papassideri
Journal:  J Cell Mol Med       Date:  2007 Jan-Feb       Impact factor: 5.310

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