Microfluidics Approach to the Mechanical Properties of Red Blood Cell Membrane and Their Effect on Blood Rheology

Trejo-Soto, Claudia; Lázaro, Guillermo R.; Pagonabarraga, Ignacio; Hernández–Machado, A.

doi:10.3390/membranes12020217

Cited by 27 publications

(23 citation statements)

References 190 publications

(212 reference statements)

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“…Hemorheological disorders and diseases are related to alterations in blood samples, including those concerning plasma proteins, hematocrit (Hct), and the stiffness (or deformability) of cells and plasma membrane [ 1 , 2 ]. These alterations contribute to a reduction of mass transport and interrupt the blood flow in capillary vessels.…”

Section: Introductionmentioning

confidence: 99%

“…The flow rate contributes to changing the blood viscosity because it varies as a function of the shear rate (i.e., in a non-Newtonian fluid). Recently, microfluidic devices have been considered as promising tools for quantifying the biophysical properties of blood samples [ 1 , 25 ]. After placing the blood samples into a microfluidic channel, the blood viscosity is obtained by quantifying the fluidic resistance (i.e., pressure drop = fluidic resistance × flow rate) [ 26 ] under a pressure drop [ 4 , 5 ] or flow rate [ 3 , 27 ].…”

Section: Introductionmentioning

confidence: 99%

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Assessment of Blood Biophysical Properties Using Pressure Sensing with Micropump and Microfluidic Comparator

Kang

2022

Micromachines

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To identify the biophysical properties of blood samples consistently, macroscopic pumps have been used to maintain constant flow rates in a microfluidic comparator. In this study, the bulk-sized and expensive pump is replaced with a cheap and portable micropump. A specific reference fluid (i.e., glycerin solution [40%]) with a small volume of red blood cell (RBC) (i.e., 1% volume fraction) as fluid tracers is supplied into the microfluidic comparator. An averaged velocity (<Ur>) obtained with micro-particle image velocimetry is converted into the flow rate of reference fluid (Qr) (i.e., Qr = CQ × Ac × <Ur>, Ac: cross-sectional area, CQ = 1.156). Two control variables of the micropump (i.e., frequency: 400 Hz and volt: 150 au) are selected to guarantee a consistent flow rate (i.e., COV < 1%). Simultaneously, the blood sample is supplied into the microfluidic channel under specific flow patterns (i.e., constant, sinusoidal, and periodic on-off fashion). By monitoring the interface in the comparator as well as Qr, three biophysical properties (i.e., viscosity, junction pressure, and pressure-induced work) are obtained using analytical expressions derived with a discrete fluidic circuit model. According to the quantitative comparison results between the present method (i.e., micropump) and the previous method (i.e., syringe pump), the micropump provides consistent results when compared with the syringe pump. Thereafter, representative biophysical properties, including the RBC aggregation, are consistently obtained for specific blood samples prepared with dextran solutions ranging from 0 to 40 mg/mL. In conclusion, the present method could be considered as an effective method for quantifying the physical properties of blood samples, where the reference fluid is supplied with a cheap and portable micropump.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Assessment of Blood Biophysical Properties Using Pressure Sensing with Micropump and Microfluidic Comparator

Kang

2022

Micromachines

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“…Alterations of RBCs can be monitored physically by quantifying certain mechanical properties (RBC aggregation, RBC deformability, viscoelasticity, etc.) under a capillary blood flow [ 1 , 2 , 3 ]. Among the mechanical properties of blood, RBC aggregation occurs at a sufficiently low shear flow or stasis.…”

Section: Introductionmentioning

confidence: 99%

Red Blood Cell Sedimentation Index Using Shear Stress of Blood Flow in Microfluidic Channel

Kang

2022

Biosensors

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Red blood cell sedimentation has been used as a promising indicator of hematological diseases and disorders. However, to address several issues (i.e., syringe installation direction, blood on-off flow control, image-based quantification, and hemodilution) raised by the previous methods, it is necessary to devise a new method for the effective quantification of red blood cell sedimentation under a constant blood flow. In this study, the shear stress of a blood flow is estimated by analyzing an interface in a co-flowing channel to quantify the red blood cell sedimentation in blood syringes filled with blood (hematocrit = 50%). A red blood cell sedimentation index is newly suggested by analyzing the temporal variations in the shear stress. According to the experimental investigation, the sedimentation index tends to decrease at a higher flow rate. A higher level of hematocrit has a negative influence on the sedimentation index. As a performance demonstration of the present method, the red blood cell sedimentation processes of various test bloods were quantitatively compared in terms of the shear stress, image intensity, and sedimentation velocity. It was found that the proposed index provided a more than 10-fold increase in sensitivity over the previous method (i.e., image intensity). Additionally, it provided more consistent results than another conventional sedimentation method (sedimentation velocity). In conclusion, the present index can be effectively adopted to monitor the red blood cell sedimentation in a 10-min blood delivery.

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“…Such a conformation, including the various embedded proteins (receptors, ion channels, transporters, and other proteins), constitutes the so-called fluid-mosaic model [ 12 ]. Membrane fluidity represents one of the most critical membrane properties [ 9 ], and it is still the object of several studies [ 9 , 10 , 11 , 13 , 14 , 15 , 16 , 17 ]. Among numerous molecules relocating along the plasma membrane, we focus here on the motility of receptor proteins.…”

Section: Introductionmentioning

confidence: 99%

Modeling Receptor Motility along Advecting Lipid Membranes

et al. 2022

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This work aims to overview multiphysics mechanobiological computational models for receptor dynamics along advecting cell membranes. Continuum and statistical models of receptor motility are the two main modeling methodologies identified in reviewing the state of the art. Within the former modeling class, a further subdivision based on different biological purposes and processes of proteins’ motion is recognized; cell adhesion, cell contractility, endocytosis, and receptor relocations on advecting membranes are the most relevant biological processes identified in which receptor motility is pivotal. Numerical and/or experimental methods and approaches are highlighted in the exposure of the reviewed works provided by the literature, pertinent to the topic of the present manuscript. With a main focus on the continuum models of receptor motility, we discuss appropriate multiphyisics laws to model the mass flux of receptor proteins in the reproduction of receptor relocation and recruitment along cell membranes to describe receptor–ligand chemical interactions, and the cell’s structural response. The mass flux of receptor modeling is further supported by a discussion on the methodology utilized to evaluate the protein diffusion coefficient developed over the years.

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Microfluidics Approach to the Mechanical Properties of Red Blood Cell Membrane and Their Effect on Blood Rheology

Cited by 27 publications

References 190 publications

Assessment of Blood Biophysical Properties Using Pressure Sensing with Micropump and Microfluidic Comparator

Assessment of Blood Biophysical Properties Using Pressure Sensing with Micropump and Microfluidic Comparator

Red Blood Cell Sedimentation Index Using Shear Stress of Blood Flow in Microfluidic Channel

Modeling Receptor Motility along Advecting Lipid Membranes

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