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_______________________________________________________________________________________________ NOTICE: this is the author’s version of a work that was accepted for publication in BioChip Journal. Changes  resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and  other quality control mechanisms may not be reflected in this document. Changes may have been made to  this work since it was submitted for publication. A definitive version will be subsequently published in  BioChip Journal, [Vol.7(4), pp.367‐374, (2013)].” 

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A Microfluidic Device for Partial Cell Separation and Deformability

Assessment

Diana Pinho1, 2, Tomoko Yaginuma1 & Rui Lima*1, 2

1 Polytechnic Institute of Bragança, ESTiG/IPB, C. Sta. Apolonia, 5301-857 Bragança, Portugal.

2 CEFT, Faculdade de Engenharia da Universidade do Porto (FEUP), R. Dr. Roberto Frias, 4200-465 Porto, Portugal. * Correspondence and requests for materials should be addressed to R. Lima (ruimec@ipb.pt)

Abstract Blood flow in microcirculation shows several interesting phenomena that can be used to develop microfluidic devices for blood separation and analysis in continuous flow. In this study we present a novel continuous microfluidic device for partial extraction of red blood cells (RBCs) and subsequent measurement of RBC deformability. For this purpose, we use polydimethylsiloxane (PDMS) microchannels having different constrictions (25%, 50% and 75%) to investigate their effect on the cell-free layer (CFL) thickness and separation efficiency. By using a combination of image analysis techniques we are able to automatically measure the CFL width before and after an artificial constriction. The results suggest that the CFL width increases with enhancement of the constriction and contributes to partial cell separation. The subsequent measurements of RBCs deformation index reveal that the degree of deformation depends on the constriction geometries and hematocrit after the cell separation module. The proposed microfluidic device can be easily transformed into a simple, inexpensive and convenient clinical tool able to perform both RBC separation and deformability analysis in one single device. This would eliminate the need for external sample handling and thus reducing associated labor costs and potential human errors.

Keywords: Biomicrofluidics, Microfluidic devices, Microcirculation, Blood on chips, Red blood cells, Cell separation, Cell deformability, Deformation index.

Introduction

Cell separation and identification are essential in a variety of biomedical applications including cell biology, diagnostic and therapeutic methods. Blood is a non-Newtonian fluid containing extremely rich amount of information about the physiological and pathological state of the human body. However, due to its complexity there are few accurate analysis methods. Most of the standard techniques used cell separation and sorting are often labor intensive or require additional external labels to identify cells.

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Recently, Ishikawa et al. [10] and Leble et al. [11] have shown the existence of thin CFL in the centre of the microchannel, just downstream of a confluence. This phenomenon is due to the existence of a CFL in both inner walls and a consequent formation of a triangular CFL in the region of the confluence apex [10, 11]. Faivre et al. [12] and Sollier et al. [13] have demonstrated that the CFL could be enhanced by using a microchannel containing a constriction followed by sudden expansion to separate plasma from the whole in vitro blood. However, most of these studies aim at the complete extraction of cells from plasma, which is not the case of the present study.

The main objective of the proposed microfluidic device is to separate certain amount of RBCs from plasma and then measure the deformability of individual RBCs downstream in one single step. RBC deformability is important in a clinical sense as it is related to several diseases such as diabetes, malaria, as well as cardiovascular disorders [14]. These diseases are at times fatal and early detection is crucially preferable. In this sense, RBC deformability can be a new biomarker and the fast and easy measurement methods are required. Former studies on RBC deformability have introduced some methodologies such as micropipette aspiration and optical tweezers where basically RBCs are stretched and the pressure or force for their extension is measured [15, 16]. Whilst these studies have revealed useful RBCs mechanical properties, these methods reqire large amount of preparation and are very time consuming. For fast analysis of vast amount of blood samples, these traditional measurement methods are unlikely to be appropriate. Moreover, since the preceded cell separation process is needed, the microfluidic devices which are easy to manipulate their microchannel geometries are more suitable for our purposes. A typical microdevice for RBC deformation studies uses a microchannel having a shape of sudden constriction in order to elongate cells. Zhao et al. [17] used a straight microchannel with a sudden narrowing and expanding constriction. Lee et al. [18], Yaginuma et al. [19-20] and Faustino et al. [21], on the other hand, used microchannels with a hyperbolic shape contraction followed by a sudden expansion region. These microfluidic experiments showed high deformability of RBCs when travelling through a contraction region. However, those studies did not include the preceded cell separation process as they have solely performed deformability measurements after an additional sample preparation [19-21].

The proposed microfluidic device aims to obtain a CFL with a low enough RBC concentration to perform cell deformability measurements downstream the separation constriction. This study is divided in two main parts. Firstly, a simple microfluidic device with different constrictions (25%, 50% and 75%) is used to test the RBCs separation. Secondly, a more complex device, able to perform in a single step both RBC separation and deformability analysis, was tested. This first tentative to integrate in one single device both tasks of separation and deformation have shown not only the viability of this new clinical strategy but also new findings that will be crucial to optimize the design for this kind of microfluidic device.

Materials and methods

Working fluids

The working fluid used in this study was dextran 40 (Dx40) containing about 9% (i.e. Hematocrit, Hct = 9) by volume of human RBCs. More details can be found in Supplementary Materials.

Microdevice geometries

The microfluidic devices tested in this study were fabricated using a soft lithography technique and consist of two main parts: a cell separation region and a cell deformation region. The microchannel height was measured by a profilometer to be 51 m.

Fabrication of the microfluidic devices

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Figure

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6. Schematic on part. The pectively. Th mation meas ght of the mic

7. Mean DI ions.

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. (a) the entir are 300 m,

= 75 m

w and w are

ment module

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will be possi

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ew of cell m and 20 the view pectively.

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In terms of the deformation measurements, Figure 7 shows average DI values of ten RBCs flowing through the two different constriction regions. The maximum DI value is in both cases relatively the same, however, for the sudden contraction case (a) the maximum DI is located close to the constriction entrance whereas for the smooth case (b) the maximum DI is located around the middle of the constriction. In addition, in the constricted region in (a) RBCs tend to flow as parachute like shape and the DI values are not truly comparative in the sequence of cell behaviour throughout the deformation analysis region of the device. At least, the region for measurements has to be carefully selected for a meaningful comparison. On the other hand, the smooth contraction provides less deviation of DI results and indicates clearly an appropriate measurement region (x/Lc=0.5), i. e., middle of constriction. The majority of the cells are flowing with the same orientation at the centreline of the channel where the cells are under an extensional flow dominated regime and as a result they tend to elongate in y direction induced mainly by this extensional force. This stable state of the RBCs makes this geometry suitable to measure small changes of RBC deformability. More detailed studies on RBCs extensional flow effects can be found elsewhere [19-21].

As mentioned before, by using a constriction with r = 0.5, we have observed collisions and the overlap of neighbouring cells flowing within the measurement region. In the CS region, the Hct of the flowing fluid is reduced from 9% to ≈2.4% but ideally it needs to be less than that. Nevertheless, it is worth mentioning that by reducing Hct to less than 2% the number of RBCs to measure may not be large enough to obtain a significant statistical picture of the results. Therefore, an optimization of channel, i.e. change in depth, needs to be done in order to obtain the best representative results of the RBCs DI.

Conclusions

The conventional microfluidic methods for measuring RBC deformability are often labor intensive and require additional sample modification and preparation. In this paper, we present a new, simple microfluidic device able to perform both RBCs separation and deformability assessment in one single step. In general, our results indicate that the proposed device can perform both operations (separation and deformation) successfully. The reported results show evidence that the constriction has a strong impact on the CFL thickness and consequently on separation rate. Moreover, the deformability results show clearly that most appropriate geometry to measure RBC deformability is the microchannel containing a smooth constriction region. In this kind of geometry due to the existence of a dominant extensional force the majority of the RBCs tend to flow with the same orientation. This stable performance of the RBCs may prove to be enough sensitive to detect small changes of RBC deformability and thus it may have the ability to diagnose early stage RBC related diseases such as diabetes, malaria and sickle cell anemia. Therefore, the integrated and simple continuous system operations make the proposed microfluidic device a potential diagnostic technique to be applied to both healthy cells and blood cell diseases.

Acknowledgement

The authors acknowledge the financial support provided by 2007 Global COE Program “Global Nano-Biomedical Engineering Education and Research Network”, Japan and grant-in-Aid for Science and Technology BEB/108728/2008, BEB/105650/2008, PTDC/EME-MFE/099109/2008, PTDC/SAU-ENB/116929/2010 and scholarship SFRH/BD/89077 /2012 from FCT (Science and Technology Foundation), COMPETE, QREN and European Union (FEDER). The authors are also very grateful to Dr. Mónica Oliveira (Strathclyde University), Professor Takuji Ishikawa and Professor Takami Yamaguchi (Tohoku University) for their suggestions and support to this research work.

References

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Supplementary Materials

1. MATERIALS AND METHODS

1.1. Working fluids

The working fluid used in this study was dextran 40 (Dx40) containing about 9% (i.e. Hematocrit (Hct = 9%). Briefly, blood was collected from a healthy adult volunteer and heparin was added in order to prevent coagulation. The red blood cells (RBCs) were separated from bulk blood by centrifugation and aspiration of the plasma and buffy coat. The RBCs were then washed twice with a physiological saline solution and diluted with Dx40 to make up the required RBC concentration. All blood samples were stored hermetically at 4ºC until the experiments were performed at controlled temperature of approximately 37ºC.

1.2. Fabrication of the microfluidic devices

The polydimethylsiloxane (PDMS) rectangular microchannels were fabricated using a soft lithographic technique. A detailed description of the fabrication process can be found elsewhere [22,

23]. Briefly, the microchannel geometry was drawn using Autocad, and a high resolution photomask was manufactured. The solid master was then fabricated on a silicon wafer with an ultrathick photoresist (SU-8 50; Kayaku MicroChem, Japan). The PDMS prepolymer was prepared by mixing a

comercial prepolymer and catalyzer (Silpot 184; Dow Corning, USA) at a weight ratio of 10:1. After

the mixture was degassed under vacuum, the PDMS was poured into the SU-8 photo-resist master

mold and cured by baking for about 2h at 70°C. Both master and PDMS were cooled to room

temperature and the PDMS was peeled from the master. The input/output ports are made by means of

micro-pipette tips. Finally, the PDMS was washed with ethanol and brought into contact with a clean

slide glass, where a reversible seal formed spontaneously.

1.3. Experimental set-up

The high-speed video microscopy system used in this study is shown in Figure 1. This system consisted mainly by an inverted microscope (IX71; Olympus, Japan) combined with a high-speed

camera (Phantom v7.1; Vision Research, USA). All the microfluidic devices were placed on the stage

of the inverted microscope and by using a syringe pump (KD Scientific, USA), a constant

(11)

Figure devices.

1.4. Ima

Cell sepa

All imag pixels, a with the

L/min. [24].

Figure 2 1 L/min

First, the with ma function region c converte

1. High-spe

age analysis

aration (CS)

ges were cap at a rate of 80

flow of RBC The record

2. Original im n.

e captured v aximum inten n, which resu

corresponds t ed to binary i

ed video m

) microfluidi

ptured around 000 frames/s Cs (halogen ded images w

mage with th

videos were nsity of all ults in a sing

to RBCs cor images with

icroscopy sy

ic device

d the middle s and an expo

illumination were transferr

he flow of RB

converted to the images le image hav re. To obtain thresholding

ystem used

e plane of the osure time o n) through a 2 rred to the co

BCs through

o a sequence in the stack ving a region n quantitativ g (see Figure

to test the

e microchann f 0.125 ms. F 25% constric omputer and

a 75% const

e of static im k was select

n brighter th ve measurem

3).

performance

nels with a re Figure 2 sho ction for a co

then evaluat

triction for a

mages (stack ed by using han the backg ments the gre

e of the mic

esolution of ows an origin onstant flow ated in Image

a constant flo

k). Then, eac g ImageJ “Z ground. This ey scale ima

crofluidic

800304 nal image w rate of 1 e J (NIH)

ow rate of

(12)

Figure 3 The chan

Cell sepa

RBC de contracti the regio flowing

Figure 4

Deforma

Deforma

where Lm like shap

3. Binary im nnel dimensi

aration and

eformation a ion region o on. Ten cell cells were m

4. Schematic

ation Index

ation Index (

major and Lmin

pe RBCs, we

mage obtaine ions are: w1 =

deformation

analysis has f the microc s were selec measured man

c diagram of

DI) is define

nor are the ma

e measured th

ed after imag = 100 m an

n (CSD) micr

been achiev hannel (W5 cted for each nually frame

RBC deform

ed as:

ajor and mino he major and

ge processing nd w2 = 25 m

rofluidic dev

ved by mea and W6 in Fi h contraction e by frame.

mation measu

or axis lengt d minor axis

g and binari m.

vice

asuring RBC igure 4), inc ns, and majo

urement regio

hs of the RB lengths as sh

zation using

C deformatio luding upstre or and mino

ons with deta

BC (see Figur hown in Figu

g “Image J”

on index (D ream and dow or axis length

ailed dimens

re 5a). For p ure 5b.

software.

DI) at the wnstream

hs of the

sions.

(13)

arachute-Figure 5 measure the majo The mea (NIH) [2 The 2D opened a flowing by the R RBC’s a it by the found to deviation

2. RESU Figure 6 measure

Figure 6 side) for

Figure 7 device u

5. Schematic ment of para or and minor asurements w 24]. We also

image cont and this shad

direction (y) RBC’s actual actual velocit e frame inter o be suffici ns were igno

ULTS 6 shows repr

ments obtain

6. Original b r different art

7 shows a re upstream the

c view of DI achute shape axes are def were done m

calculated th ains the flow dow should ). To avoid t velocity tim ty, we measu rval time. Th iently low ( ored.

resentative o ned at differe

blood flow v tificial constr

epresentative separation re

I measureme e cells. The b fined. manually wit

he length err wing cell’s s

not be consi this error the mes the expos

ured the trav he cell’s trav (≪ 1µm) th

original imag ent artificial c

isualization rictions (r =

e original im egion with r

ents. (a) the box surround

th the assista ror which mi

shadow whi idered as the e cell’s trave

sure time of veling length veling length hroughout th

ges and corre constrictions

images (left = 0.25, r = 0

mage of the = 0.5.

measuremen ding the cell

ance of an i ight be cause ich is captur e cell’s actua

ling length ( f the high spe h of the cells h values obt he measured

espondent bi s (r = 0.25, r

side) and co 0.5 and r = 0

deformation

nt of ellipsoi defines the c

mage handli ed by the cam red when the al length esp (shadow) in y eed camera. I frame by fra tained by the d regions so

inary images

r = 0.5 and

orrespondent 0.75).

region of th

id shape cell center of the

ing software mera’s expos e camera’s s pecially in th y-axis was c In order to o ame and then ese calculati o that these

s from in vit

r = 0.75).

t binary imag

he CSD mic

s. (b) the e cell and

e, ImageJ sure time. shutter is he axis of calculated obtain the n divided ons were possible

tro blood

ges (right

(14)

Figure 7 containin

Figure 8 The Hct the cell c

Figure 8 containin

7. Blood flow ng a sudden

8 shows a rep at this regio can be observ

8. Blood flow ng a smooth

w visualizati constriction

presentative on should be ved at the na

w visualizati constriction

ion images o microchanne

original ima e also around arrowest part

ion images o microchann

of the deform el with a wid

age of the de d 2.4%. In th t of the contr

of the deform nel with a wid

mation region dth of 7 m.

eformation r his contractio

raction.

mation region dth of 10 m

n of the CSD

egion with a on, the maxi

n of the CSD m.

D microfluid

a smooth con imum deform

D microfluid

dic device

ntraction. mation of

Imagem

Figure 4 flow rate Figure 5 measure confiden Discuss To analy the  ∆ increases is about  worth m For  r   = higher fl CFL thic Figur for  r  =  remainin image an consider 4
Figure  devices.  1.4. Ima Cell sepa All imag pixels, a with the  L/min.  [24].  Figure 2 1 L/min First, the with ma function region  c converte 1
Figure  3 The chan Cell sepa RBC de contracti the regio flowing  Figure 4 Deforma Deforma where L m like shap 3
Figure  5 measure the majo The mea (NIH) [2 The 2D  opened a flowing  by the R RBC’s a it by the found to deviation 2
+2

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