Abstract
In the emerging field of deformable microfluidics, we propose a new geometry in which the height and angle of a channel are controlled, thanks to the deformability of the microfluidic elastomer down to thicknesses of a few microns. The particularity of our set-up is that the height of the channel under study is fully closed at rest, which reveals especially well suited to address micro-nanoconfinement problems such as clogging, transport selectivity and flow rectification. Using fluorescence microscopy and light absorption, we probe the channel shape from the measurement of the PDMS-displacement field. We demonstrate that the maximal PDMS displacement can be inferred from finite elements numerical simulations and predicted reliably with simple analytical relations from elasticity continuum mechanics.
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1 Introduction
Soft lithography consists in creating or replicating a master structure using elastomer stamps. This technique makes it possible to manufacture microchannels of controlled size and has led to the development of microfluidics. Nowadays, in most researches in this field, the elastomer is poly-dimethylsiloxane (PDMS). PDMS indeed offers several attractive properties such as low price, optical transparency in the visible range, low permeability to polar liquids or electrically insulating properties (Tang and Whitesides 2010). The flexibility of PDMS, which allows for an easy release from moulds or conformation to surfaces, has also been proved useful to integrate valves and pumps driven by an external over-pressure (A Unger et al. 2000; Thorsen et al. 2002). This paved the way for the emerging domain of deformable microfluidics: by integrating passive elastomeric compliant features, fluidic analog responses of electrical circuits composed of resistors, capacitors, diodes or transistors can now be obtained through the dynamic control of pressure input in PDMS or glass devices (Leslie et al. 2009; Grover et al. 2003; Weaver et al. 2010). Various complex functions such as micropumps, microflow stabilizers, deformable droplets generators, organ-on-a-chip microfluid models are designed (Raj et al. 2018). Deformable microfluidics is also highly interesting when studying particles or cells interactions with solid surfaces. Indeed, modifying channel dimension during the course of an experiment can change the probability of particle deposition on the walls (Cejas Cesare et al. 2018) or prevent channel from irreversible clogging as shown in Song-Bin H et al. (2014), where a deformable membrane microfluidic device allows to clear the clogging of cell aggregates by applying vacuum at the end of the constriction. However, dimensioning these systems correctly, particularly in terms of the pressure required to induce the desired deformation and the pressure gradient required to induce the desired flow, is problematic because the fluid–structure interactions are non-linearly coupled. Therefore, to predict the channel displacement, most of the studies rely on numerical computations based either on a complex non-linear theoretical model, or on a finite element approach (Raj et al. 2018; Mehboudi and Yeom 2019). A compliance scaling parameter \(f_p\) characterizing the ability of a system to deform has also proven to be useful to relate pressure, and deflection profiles as well as pressure-flow properties (Raj and Sen 2016). In the reference case of a membrane, the inverse of this parameter is directly proportional to the thickness of the membrane, its Young modulus and the power three of its initial height. Thus, the smaller the Young modulus and the membrane thickness, the higher \(f_p\) and the membrane deflection. Inspired by these works, we propose a specific geometry for which the height of the channel of interest is vanishingly small when the system is at rest (see Fig. 1b). This has several advantages. First of all, it can be rapidly made since only one lithography step is necessary. Then, \(f_p\) as defined in Raj and Sen (2016) is extremely large, thus providing a large sensitivity to pressure variation. The chosen geometry, therefore, offers simultaneously a simplicity of realization, control and prediction of the linear and angular displacements by means of simple theoretical expressions. Such a geometry, which may look similar to a microfluidic valve (Prasath Natarajan et al. 2017), allows to reach almost infinite variation of height, in comparison to previous systems obtained from the deformation of a channel with finite height at rest. Our approach, which aims at controlling precisely the height of a thin channel, distinguishes from the case of a valve, the state of which is either fully closed or fully open (Prasath Natarajan et al. 2017). The thin channel approach described in this paper reveals especially well suited to address micro-nanoconfinement problems such as clogging, transport selectivity and flow rectification.
Our paper is organized as follows: we first detail the experimental procedure to fabricate and to measure the dimension of the channels. Then using experiments, theory and numerical simulations, we reveal how the amplitude and the angle of the displacement depend on the mean and differential pressure.
2 Experiments
As a deformable elastomer, we use Sylgard 184 PDMS (PolyDiMethylSiloxane) which has been cured from a mixture of polymer and crosslinking agent in the proportions 9–1. To retrieve the Young’s modulus E of the PDMS elastomer, we measure the deflection of a cantilever made of the same elastomer, clamped on one side and subjected to its own weight on the other, as a function of its length. We obtain the value \(E=0.63\) MPa, in agreement with the values found in the literature for similar proportions of curing agents (Joong Park et al. 2010; Deniz et al. 1999). The experimental device consists of a PDMS microfluidic chip, formed by two deep adjacent parallel microchannels (pools 1 and 2) with a length \(L = 1\) cm, a width \(\ell /2- w/2=\)2.2 mm and a height \(h_0 = 100\) \(\upmu \) m (Fig. 1). These are separated by a PDMS pad of the same length L but with a width \(w= 60\) \(\upmu \)m. The center of the pad is in \(x=0,y=0\). Overall, the width of the pad and the two adjacent pools is \(\ell =\) 4.5 mm. The height of the whole PDMS device, H, obtained from the replication of a SU8-photoresist master structure is 2.5 mm thick.
To seal the PDMS to the glass substrate, most of the glass and PDMS surfaces are exposed to an air-based plasma except for the PDMS pad between the two pools which has been shielded off the plasma. This generates an adhesion-free zone under the pad, while the rest of the channel is safely sealed to the glass slide below. When an over-pressure is applied in the two pools, the elastic PDMS bends and deforms, thus displacing upward this adhesion-free PDMS pad. This opens a thin channel between the two pools as sketched in Fig. 1c). The upper wall of this channel corresponds to the lower surface of the PDMS pad, which is—in the undeformed configuration—in \(z=0\), thus in contact with (but not adhering to) the glass slide. Thus, to quantify the PDMS displacement field, we introduce \(\mathbf {F}\), which compares the position of a particle located at a position M(x, y, z) in the undeformed configuration and at \(M'(x',y',z')\) in the deformed configuration, hence \(\mathbf {F}(x,y,z)=\mathbf {MM'}\). Then, we define F(x, y, z) as the projection of \(\mathbf {F}(x,y,z)\) along z-axis. The lower surfaces of the PDMS are constituted by planes located either at \(z=0\) (for the central pad) and \(z=h_0\) (for the two adjacent pools). Thus, to quantify the displacement field along these PDMS surfaces, we introduce f, which writes \(f(x,y) = F(x,y,z=h_0)\) for \(\mid y \mid > w/2\) and \(\mid x \mid < L/2\) and \(f(x,y) = F(x,y,z=0)\) for \(\mid y \mid < w/2\) and \(\mid x \mid < L/2\) (note that this last equation also defines the channel height h, since the channel only exists for \(\mid y \mid < w/2\) and \(\mid x \mid < L/2\) ).
Each parallel pool has an inlet and an outlet as sketched in Fig. 1. All the inlets and outlets can either be connected to a feeding syringe or a water column through three way valves. The feeding syringes are used to fill up the whole device with liquid, while the water columns are used to impose the pressure in the two pools. We denote as \(P_1 = \rho gH_1\) and \(P_2 = \rho gH_2\) the over-pressure compared to atmospheric pressure in the pools 1 and 2, as \({\langle P} \rangle =(P_1+P_2)/2\) the mean over-pressure and as \({\Delta P}=P_1-P_2\) the pressure difference between the two pools. With this set-up, a flow driven by pressure difference \({\Delta P}=P_1-P_2\) can be induced within a channel of height controlled by \({\langle P} \rangle \).
To illustrate the correlation between h, the channel height in the deformed configuration and \({\langle P} \rangle \), we set the over-pressure in the two pools at the same positive value after having manually filled up the whole device with syringes. We then wait for 5 min, to make sure that the whole system is at equilibrium and that the flow rate under the pad is null. Then, an image of the adhesion-free pad between the two pools is taken with a microscope and the whole procedure is repeated for a lower value of \({\langle P} \rangle \). In Fig. 2, we show the fate of two bubbles when \({\langle P} \rangle \) is decreased. The first large bubble (seen from above and highlighted with a red arrow) is stuck under the pad, while a second smaller one (seen from the edge and highlighted with a blue arrow) is stuck on the vertical wall of the pad. The small bubble appears to be nearly hemispherical whatever \({\langle P} \rangle \), thus revealing that the contact angle of air in water on the PDMS is nearly \(90^o\). However, the fate of the large bubble is very different. We observe the following features: First, the large bubble in Fig. 2a is completely dark. This is due to light refraction induced by the index mismatch between air and water and a curved liquid/air interface. Thus, in Fig. 2a, the bubble is a spherical cap. In Fig. 2b, it turns nearly fully transparent but for a dark black edge. This color change is associated to a change in the bubble’s geometry. Indeed, in (b) the bubble wets the upper and lower surfaces of the channel, thus bridging the two surfaces along an air meniscus, while in (a) it is a spherical cap. Since the volume of the small bubble is not modified during the experiment, this change of geometry can only be attributed to a reduction of the channel height associated with the decrease of \({\langle P} \rangle \). From c–f, the bubble area increases due to a further reduction of the channel height. The spreading only occurs in the x direction: in the y direction, the contact line is presumably pinned on the edge of the limited pad. We also observe a global motion of the bubble along x axis and toward the center of the channel. This step-by-step motion, induced by the decrease of the channel thickness, is not of same nature than the continuous motion of bubbles or drops over surface with a gradient of interfacial energy (Chaudhury and Whitesides 1992; Lorenceau and Quere 2004; Reyssat 2014; Zheng et al. 2010). Indeed, the pinned contact line along y axis as well as high contact angle hysteresis hinders the continuous movement of the bubble (Chaudhury and Whitesides 1992). It is only when the bubble is crushed due to the step-by-step pressure reduction, which perturbs the contact lines, that an asymmetric movement is observed along the confinement gradient as observed in Shastry et al. (2006); Brunet et al. (2007). Yet, this demonstrative experiment does not allow to retrieve the variation of f (and consequently h for \(\mid y \mid < w/2\) and \(\mid x \mid < L/2\)) as a function of (x, y) along the planes \(z=0\) and \(z=h_0\). To do so, we fill up the whole device with water containing Sulforhodamine B at a concentration 2 g/L. Sulforhodamine B is both a fluorescent molecular dye and a good light absorbent. Contrary to Rhodamine B, which is known to diffuse into PDMS (Pittman et al. 2003), we did not observe any diffusion with Sulforhodamine B. Using these optical properties, we either perform wide-field fluorescence and light absorption measurements. Wide-field fluorescence measurements are performed using an inverted microscope (Olympus-Model IX71), equipped with two different filters. The fluorescence intensity is known to be an increasing function of the number of fluorophore in the region of interest. Using rectangular and square channels of various heights, we compare the measured fluorescence intensity and the thickness of the channels. We note empirically that the intensity of the fluorescence is proportional to the logarithm of the height of the channels with a constant of proportionality such that for channels with a height greater than 15 microns, the measurement uncertainty becomes very large. Indeed in this range, optical aberrations such as out of focus emitted light saturates the signal. In that case, we measure the local thickness of the channel using light absorption and compare the gray-level intensities of transmitted light \(I_t\) with h the height of calibrated channels filled with Sulforhodamine. These are associated using Beer–Lambert law:
where \(\alpha \) has been determined from the light transmission of rectangular tube of controlled height h (20, 30, 50, 100 and 200 \(\upmu \hbox {m}\)) filled with the solution, T from the transmission coefficient of a colorless liquid film and \(I_0\) from the intensity level of the image of the background. We found that the noise to signal ratio is acceptable for channels larger than 10 \(\upmu \hbox {m}\). These two optical techniques are, therefore, complementary in our set-up: light absorption measurement being more adapted to ”thick” films (larger than 10 \(\upmu \hbox {m}\)) and fluorescence measurement to ”thin” films (smaller than 15 \(\upmu \hbox {m}\)) as in Petit et al. (2015). However, some experimental errors can be expected for the following reasons: first, calibration showed that fluorescence is less reliable for measurements larger than 10 \(\upmu \hbox {m}\). Second, even though it is not clearly observed, the fluorescence molecules may slightly diffuse in PDMS. Third, refraction occurs due to PDMS deformation. And fourth, non-homogeneity can be found in the PDMS optical index due to dust or bubbles trapped inside. Therefore, we estimate an uncertainty of \(30\%\) in our experimental measurements.
To complete our understanding of the system, we also perform numerical simulations to quantitatively evaluate f (and consequently h for \(\mid y \mid < w/2\) and \(\mid x \mid < L/2\)). To do so, we use the 3D Solid model from Structural Mechanics of COMSOL Multiphysics 5.3a in stationary mode using MUMPS (MUltifrontal Massively Parallel sparse direct Solver). PDMS is modeled as a linear elastic (solid isotropic) material, with user-defined properties (\(E=\) 0.63 MPa, \(\nu =\) 0.49 and \(\rho =\) 970 kg/\(m^3\)). The geometrical domain we built, as sketched in Fig. 3, consists on the union of two rectangles (called cantilevers 1 and 2), of same dimension than the PDMS layer above the pools, with a width such that \(\ell /2-w/2=2.2\) mm, a length \(L=1\) cm and a thickness \(H=2.5\) mm. They are linked by a central rectangle (cantilever 3)—representing the pad—60 \(\upmu \hbox {m}\) wide, 1 cm long and 100 \(\upmu \hbox {m}\) thicker than the other two. The union of these three elements forms a whole deformable domain, the four lateral faces of which are fixed and its top surface is set as free. The pressure load, meanwhile, is applied in the two bottom surfaces of the domain. The user-controlled mesh is calibrated for general physics and composed of 298,202 fine-sized elements. The mesh in and around the pad is refined down to 50 \(\upmu \hbox {m}\) sized elements, with a maximal growth rate of 1.5, reaching the coarse-size elements on the borders of the domain of 200 \(\upmu \hbox {m}\). Two different types of simulations are run: the first type called ”asymmetric” consists on applying a body load of high pressure (\(P_1\)) on the bottom face of one of the cantilevers, a low pressure load (\(P_2\)) on the bottom face of the other one, and a linear pressure gradient on the bottom face of the pad. Unless specified otherwise, the pressure difference in the asymmetric configuration is fixed and equal to \({\Delta P} = 1620\) Pa, while \(P_1\) varies from 1913 Pa to 4562 Pa. The second type is the ”symmetric” mode and consists on applying the same mean pressure \({\langle P}\rangle =(P_1+P_2)/2\) on the cantilevers and pad. The simulations are purely statics: the fluid flow dynamics has not been taken into account.
3 Results
The surface displacement profiles of the PDMS device are shown in Fig. 4a. These images are taken for the asymmetric simulation, with \({\langle P}\rangle =\) 3752 Pa and \({\Delta P}=\) 1620 Pa (hence \(P_1\)= 4562 Pa and \(P_2 =\) 2943 Pa). The amplitude of the displacement is quantified using the color code on the right of the images and typically ranges between 0 up to 23 \(\upmu \hbox {m}\). On the bottom face of the PDMS where the pressure load is directly imposed, the color code logically reveals a higher magnitude of surface displacement along pool 1 than on pool 2 since \(P_{1}>P_{2}\). However, at the top layer of the PDMS in contact with the atmospheric pressure, the displacement profile is quasi-symmetric. Note that the symmetric simulation, where \(P_{1}=P_{2}\), leads to a surface displacement profile which is symmetric on both faces of the PDMS.
We now discuss these observations along x and y axis and compare them with our measurements.
The displacement profile of the bottom surface of the pad, f is measured along x-axis for \((y,z)=(0,0)\), a constant \({\Delta P}\)= 1620 Pa and \({\langle P}\rangle \) ranging from 3752 Pa down to 1104 Pa (Fig. 5). We use light transmission when the maximal channel height is larger than 15 \(\upmu \hbox {m}\) and fluorescence when it is smaller than \(15 \upmu \hbox {m}\). The displacement of the PDMS along x-axis is logically symmetric and well described by a parabolic shape. This shape is due to the boundary condition : along the edges of the pad, the PDMS is firmly bound to the glass slide, thus preventing the elastomer to deform in this region. Thus, in the numerical simulation, the deformation on the border of the pad, i.e., at \(x=-L/2\) and \(x=L/2\), is null. However, experimental results show a minimal displacement different from zero in \(x=-L/2\). This is due to the optical aberrations caused by refraction of the fluorescence in the PDMS as can be seen on the top of Fig. 5, where an image of the channel taken in fluorescence microscopy reveals heterogeneities in the light intensity. From these curves, we introduce the maximal PDMS displacement, \(f_m = f(x=0,y=0,z=0)\). In Fig. 5, \(f_m\) ranges from 6 \(\upmu \hbox {m}\) for \({\langle P}\rangle =\) 1104 Pa up to 20 \(\upmu \hbox {m}\) for \({\langle P}\rangle =\) 3752 Pa.
The displacement profile of the bottom surface of the pad, f, is presented along y-axis for \(x=0\) and \(z=h_0\) in Fig. 4b for asymmetric simulations with \({{\Delta P}}\) = 1620 Pa and symmetric simulations with \({{\Delta P}}=\) 0 Pa and \({\langle P}\rangle \) between 1104 and 3752 Pa. Quite surprisingly, we overall observe that the displacement field in the vicinity of the pad is identical in the two simulation configurations, which is presumably due to the symmetry of the boundary condition. We also observe that the dashed red line showing the displacement profile along the top surface (\(z=H\)) is more symmetric than the continuous red line showing the displacement along the bottom surface (\(z=h_0\)). Indeed, the asymmetry of the deformation, which generates internal stresses within the PDMS, has become more uniform thanks to the great thickness of the elastomer layer.
To check that the channel displacement only depends on \({\langle P} \rangle \) and is therefore decoupled from the flow driven by \({{\Delta P}}\), the displacement profiles along y for \({{\Delta P}}\) varying between 0 and 3237 Pa while maintaining a constant \({\langle P} \rangle = 1104\) Pa, is presented in Fig. 4c. At this rather large scale, we observe that all the data indeed collapse at the center of the channel, thus demonstrating that it is only \({\langle P} \rangle \) that controlled the channel height. Moreover, the greater \({{\Delta P}}\), the greater the asymmetry between pool 1 and pool 2.
At the scale of the channel, the experimental and numerical displacements measured and computed for a given \({{\Delta P}}\) are not perfectly perpendicular to the x axis as can be seen in Fig. 6b. This means that the channel is slightly inclined. We define \(f_m\) as the mean value of f for \(x=0\) and \(\mid y \mid <w/2\). The difference between f and \(f_m\), which indicates the local amplitude of the tilt is normalized by \(f_m\) and plotted in Fig. 6b as a function of y for different \({{\Delta P}}\) while maintaining \({\langle P} \rangle \) constant.
To go one step further, we compare the value of the displacement field \(f_m\) obtained in simulations and experiments in Fig. 7a. We observe an excellent quantitative agreement between the two. This demonstrates that the mechanical model used in the simulations to describe the experimental set-up is accurate. Moreover, modeling the deformable PDMS elastomer above the channels as a unique cantilever of volume \(\left( H-h_0\right) L\ell \) supported in \(y=\pm \frac{\ell }{2}\) and on which a uniform pressure \({\langle P} \rangle \) is applied, we compute the maximal deformation of this system \(f_m\) from classical analytical results from linear elasticity:
where E is the Young Modulus of the material and \(H-h_0\) is the cantilever’s thickness. Due to the boundary conditions chosen in this model, one notes that the cantilever behaves as an uni-dimensional system and the Poisson ratio of the material does not play any role.
Analytic results from Eq. 2, experimental measurements and numerical simulations, all shown in Fig. 7a, are in fair agreement even though the analytic calculation doesn’t take into account the pressure difference \({{\Delta P}}\) along the channel nor the presence of the extra \(h_0\)-thick pad in (x, z) = (0, 0) and \(\mid y \mid <h/2\). Yet, analytical results are slightly larger than Comsol and experimental results, probably because deformations along the x-axis are neglected in the model due to the small \(\ell /L\) aspect ratio. In other words, the model does not take into account clamping in the x-direction which slightly limits the deformation of the channel at its center.
Nevertheless, using this framework, it is not only possible to retrieve analytically \(f_m\), but also the amplitude of the tilt observed in the membrane as \({{\Delta P}}\) increases. To do so, we compute the displacement field induced when applying a pressure load \( {\Delta P}\) along a smaller cantilever of volume \(h_0 L w\) clamped in \(z=h_0\) as sketched in Fig. 6c. We introduce \({\Delta f}\) as the difference of deformation magnitude along the width w of the membrane, given by:
Combining Eqs.2 and 3, we obtain an expression that relates directly the deformation to the pressure ratio \({\Delta P}/{\langle P}\rangle \) to N, with \(N= h_0^3(H-h_0)^3/(l^4w^2)\) being a dimensionless number characteristic of the geometry of the microfluidic device.
\({\Delta f}/f_m\) is plotted as a function of \({\Delta P}/{\langle P}\rangle \) in Fig. 7b. Here again, we observe a good agreement between the analytical expression of Eq.4 and the simulations since in both cases, there is a linearity between \({\Delta P}/{\langle P}\rangle \) and \({\Delta f}/f_m\). Moreover, they quantitatively agree within less than 15 \(\%\). This remarkable property makes it possible to analytically predict the height of the deformed channel, and thus to overcome complex numerical simulations. This good agreement also suggests that the deformation of the system is strongly related to its dimensions which can be adjusted to favor or not the asymmetry of the channel according to the value of the dimensionless number N. For small values of N, the height of the channel is mainly fixed by the average pressure and not the difference of pressure across the pad; this geometrical parameter can be fully fixed independent of the flow and its evolution in time. It is, thus, easy to decouple the control of the pad of the system from the characterization of flow and transport phenomena. For large value of N, the asymmetry of the channel is expected to become significant even for moderate difference of pressure.
However, the values of the observed slopes are slightly different: the slope of the analytical calculation \(64/5\times N\) systematically overestimate that of the numerical simulations, closer to \(64/5.85 \times N\). This observation is surprising: Figure 7a shows that for a given value of \({\langle P}\rangle \), the analytically calculated \(f_m\) is always higher than the simulated \(f_m\) due to boundary conditions across the cantilever not accounted for in the analytical calculation. However, here, although \({\Delta f}\) is normalized by \(f_m\), the same trend is still observed: the result of the analytical calculation is always larger than the numerical calculation. This suggests that the \({\Delta f}\) calculated by Eq. 4 overestimates by far the \({\Delta f}\) simulated by Comsol, probably due to the curvature of the cantilever along the x-axis not taken into account in the analytical calculation.
4 Conclusion
We show that the proposed geometry makes it possible to obtain channels whose height is (1) low, typically of the order of a few microns although achieved by soft photolithography techniques (2) modulated by the average pressure, regardless of the pressure difference (3) which may or may not vary according to the value of the dimensionless number N. It is, thus, easy to decouple the control of channel height from the characterization of flow and transport phenomena. Moreover, our approach gives the ability to finely tune this asymmetry and study its impact upon above mentioned surface-induced effects.
The obtained results here pave the way for the usage of micro– nano-fluidic veins with tunable size of interest for the characterization of the flow of complex fluids such as polymer solutions or colloidal suspensions. We demonstrate that the height of a PDMS microchannel can be finely adjusted in a predictive manner with a simple pressure control down to almost micron size. The system gives the ability to study, in a reversible manner, various effects related to adsorption/adhesion on the wall of the channel. For instance, one may study the impact of depletion and change in fluid concentration, the enhancement of slippage or clogging events. In standard microfluidic systems, clogging is generally irreversible, but it might not be the case in a deformable system. Transient complex processes, can be finely studied, back and forth, according to the channel height. It is, thus, possible to characterize nonlinear hysteric phenomena such as clogging and unclogging. Beyond pressure-driven flow, electro-osmotic phenomena could be also considered. In particular, the asymmetric configuration could be of interest to study the rectification effects. To go beyond the PDMS case, Eq. 2 shows that the height is inversely dependent on the material’s Young modulus. Using much rigid material such as silicon may offer the possibility to control a nanogap size of interest for the study of nanofluidic phenomena.
We, thus, show, on the considered range of pressure, that the channel height changes by a factor of three starting at a value of 6 \(\upmu \hbox {m}\). This value demonstrates the ability of the system to reach strong confinement even if based on soft lithography.
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Acknowledgements
We sincerely thank Jean-Claude Vial, Aurelien Gourrier and Irene Wang for their time and help obtaining successful quantitative optical measurements. We also appreciate Saranath Seshadri’s support on Comsol utilization and Daniele Centanni for microfluidic preparation. We acknowledge Elisabeth Charlaix and Benjamin Cross for stimulating discussions and TOTAL SA for funding.
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Velasco Anez, D., Hadji, C., Santanach-Carreras, E. et al. Microfluidic channels of adjustable height using deformable elastomer. Microfluid Nanofluid 25, 7 (2021). https://doi.org/10.1007/s10404-020-02408-5
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DOI: https://doi.org/10.1007/s10404-020-02408-5