Umer
Sajjad
,
Finn
Klingbeil
,
Findan
Block
,
Rasmus B.
Holländer
,
Shehroz
Bhatti
,
Enno
Lage
and
Jeffrey
McCord
*
Institute for Materials Science, Kiel University, Kaiserstraße 2, D-24143 Kiel, Germany. E-mail: jmc@tf.uni-kiel.de
First published on 30th June 2021
The simultaneous separational control of motion of individual objects is vital to achieve high efficiency separation for biological analytes in biomedical applications. Here, we show the selective and directed movement of different populations of microbeads depending on their size in a flowless environment by means of a hexagonally structured soft-magnetic microchip platform. By adjusting strength and asymmetry of a modulated in-plane magnetic field, discrete and switchable movement patterns of two different types of beads above a magnetic surface structure are achieved. Starting from a heterogeneous mixture of bead populations and depending on the type of field sequences, directional forward transport of one type of beads is achieved, while the other bead population is immobilized. Despite significant size and magnetic content distributions within each population of microbeads, high separation efficiencies are demonstrated. The selection and movement processes are supported by full-scale magnetofluidic numerical simulations. The magnetic platform allowing multidirectional and selective microbead movement can greatly contribute to the progress of functional lab-on-chip and future diagnostics devices.
Magnetically patterned microchip surfaces are employed for the handling and sensing of magnetic bead-biological cell conjugates at a single cell level.3,4 Utilizing various magnetic platforms, populations of microbeads are manipulated to perform numerous analytical operations.5–7 One type of particles are selectively transported across a chip during the immobile response of the other type.8–12 Multiple particles are simultaneously separated to different directions12,13 and collected at various locations6 on a chip. A coexistent control over the motion of multiple type particles is crucial for the efficient separation of target biomolecular entities. Yet, the non-reproducible motion of particles and the undesired motion of immobilized particles may result directly in a reduced separation efficiency of the devices.9,12,13 The particle separation on a magnetic surface is dependent on the mutual magnetic interaction between immobile and moving particles. Furthermore, geometric and magnetic irregularities in the manipulation system may affect the paths of particle motion, causing inefficient separation of mixed particle populations. To understand the influence of magnetic irregularities, the paths of moving particles are investigated through numerical simulations and experiments for single beads.14–16 The separation efficiency of magnetic beads is often not stated8,9,11–13,17 or it is significant lower6 than for flow-based magnetic systems.18,19 Therefore, the separation of mixed magnetic beads is considered an obstacle to the commercial adaptation of magnetic chip technology.4 The non-uniform magnetic response of particle movement patterns,20 magnetic field related inappropriate control parameters,14 and improper size of magnetic particles14,20 are the presumed reasons of inefficient particle separation. By optimizing the geometric parameters such as shape, size and distance of periodic magnetic patterns together with the size of the microbeads, the simultaneous separation of different type beads has been realized.6,9–13,21 Achieving high separation efficiency is further impeded due to the existing heterogeneity of microbead population properties, determined as Gaussian property distributions.6,8,17,21 Yet, high efficiency microbead separation was reported in ref. 21.
Despite the benefits of single cell analyses on magnetically patterned chips, flow-based magnetic technology is the preferred option to obtain rapid analyses.3,4,19,22–25 In flow-based systems the results of analyses rely on ensemble averaging, which limits the access to single analytes. On the other hand, the process throughput of flow-less systems is lower than for flow-based devices.3 To improve device performance, flow-less magnetic platforms are often combined with flow cytometry.21,26 However, the commercialization of such platforms has not been realized so far. Existing magnetic chip technology has shown the simultaneous manipulation of about 105 microbeads.3 A magnetic surface based device capable of handling more than 107 microbeads is envisioned to fill the gap between laboratory and commercial device technology.3
Magnetic patterns in closely spaced arrangements increase the surface site density on chips for positioning and separation of large populations of microbeads to compete with the high-throughput of flow-based devices.3 A fundamental requirement for the selective manipulation of complete populations is the reproducibility of the movement paths for different beads at the single bead level.9,14
A magnetic microchip enabling the selectable sorting of bead populations should provide an ideal platform for handling the multiple analytes from complex biological samples. A lab-on-chip tool should provide nearly entire control over single cells and their populations, enabling good separation efficiency.
In this work, we present the controlled and independent movement of two types of microbeads across a surface of a hexagonally arranged soft magnetic triangular thin film element array. The work is based on our initial work for the simultaneous two-way separation for single beads.12 There, we could show that changes in the stray magnetic field landscapes slightly alter the equilibrium bead positions, by which the emergence and direction of bead motion with the application of alternating magnetic field sequences is defined.
Here, we show and explain the selectable movement and, as a result, the separation of microbeads at their population level. Proper combinations of in-plane magnetic field strengths and directions permit the directional and selective motion of a single population of beads, while keeping the other type of beads immobile. Quasi square wave modulated external magnetic fields sequences move the bead ensembles selectively along the same magnetic micro-corridors of hexagonal potential energy landscapes across the chip surface. Mobility and immobility are interchangeable with variations of magnetic field angle and amplitude. By this, a high separation efficiency is demonstrated based on a nearly complete immobilization of one type of beads with the directed motion of the other type of beads. Two alternative magnetic field sequences enable the selective separation of the two different populations of microbeads. The selectable motion of both small and large beads agrees with the simulated bead motion characteristics.
To quantitatively compute the trajectory of the different sized microbeads across the array of triangular magnetic elements, we used the algorithm described in ref. 31. It takes the magnetic forces between the superparamagnetic microbeads and the micromagnetic state of the parent structure, as well as the hydrodynamic drag forces, into account. Surface friction was neglected in accordance with a lifting of the bead above the surface during movement. For this, the micromagnetic data imported from MuMax3 was arranged in the magnetic chip layout and averaged by a factor of four prior to the potential calculation. The potential grid used was 120 × 120 with cell dimensions of 300 nm × 175 nm. In the shown microfluidic simulations we used a volume susceptibility χv = 0.065 for particles with ØMB = 4 μm and χv = 0.035 for the ØMB = 8 μm beads, the ratio of which nearly corresponding to the size difference. We applied moving periodic boundary conditions to accommodate for the particle moving across numerous repeating magnetic structures. For the alternating field configurations, a switching time of ts = 2 ms between the different field angles is assumed in the simulations with a temporal resolution of Δt = 10−4 s. The value agrees with the temporal magnetic field measurements of the complementary real-world experiments. The equation of bead motion is calculated for time steps of a maximum of Δtmax = 7 × 10−4 s. The viscosity of the aqueous medium is set to the room temperature value of viscosity of water η = 9.547 × 10−4 Pa s.
The amplitudes and angles of the magnetic field were recorded for all image frames. A digital CCD camera was utilized to record the images with a frame rate of 15 Hz. The spatial–temporal position of the moving microbeads was tracked using the image processing package ImageJ.33 Using this, the spatial x- and y-coordinates of the centre of the microsphere are obtained for all individual image frames. From this the path of microbead motion is determined.
The selective movement of different microbeads relies on the exact orientation and sequence of the applied magnetic field. Aligning the magnetic field Hext with its directions switching between normal to the edges a and b, along ⊥ and
⊥, polarizes the edges and the opposite corners A and B of the magnetic triangles (Fig. 1a, left). The highlighted vertices A and B and the opposite edges a and b provide a closely spaced adhesion network, generating a magnetic pathway for the vertical movement of microbeads. Parallel orientations of the applied field are assigned as
∥ and
∥ and lead to magnetic poles at two edges and two corners for each applied field direction (Fig. 1a, right).
The achievable movement depends on the bead diameter to stray magnetic field periodicity, defined by the magnetic array pattern.11 Larger diameter beads may interact with the stray field gradients of adjacent magnetic elements, whereas smaller diameter beads mainly interact with the stray field gradients of a single magnetic element. On the other hand, the bead diameter dependent drag force adds a dynamic component to the bead motion.
Once positioned, the beads can be moved selectively across the chip surface by an applied proper bi-modal magnetic field sequence, the elements and the achievement of which are demonstrated next.
Fig. 2a shows the corresponding results of micromagnetic calculations with magnetically polarized triangles with the sites of higher (corners) and lower (edges) magnitudes of magnetic field gradients. The stray magnetic field gradients at the corners and edges of the magnetic triangles are determined for the two principle directions of the applied magnetic field (Fig. 2b). Comparing the results of micromagnetic simulations with the MFM data (Fig. 2c) confirms the validity of the micromagnetic simulations, forming the base for the simulations of bead motion. Changing the field direction from ∥ to
∥ leads to a quasi-inversion of the corresponding field gradient landscape and energy potential landscape.
The motion behaviour of the different sized microbeads with frequency is analysed by experiments (Fig. 2d) and simulations (Fig. 2e). Despite differences in the critical frequency, a sufficient match between simulations and experiments is obtained. Especially the simulations provide insight in the motion path of the beads. For the further experiments, the field switching frequency was chosen at fswit = 3 Hz in accordance with the presented results. This frequency is well below the critical frequency of the moving smaller beads. No motion over the probed frequency range was detected for the larger beads.
Fig. 2f shows the calculated magnetic potential energy landscapes together with the experimentally obtained positions of a ØMB = 4 μm diameter bead becoming positioned slightly below corner A and B for both field directions along ∥ and
∥. For the intermediate switching field condition (0.5·(
∥ +
∥)) and with the bead still below A, the potential landscape reveals a potential landscape favouring the initial movement of the bead away from corner A (centre image in Fig. 2f). The experimentally obtained positions of bead resting are displayed in Fig. 2g. The bead positions agree with the potential minima from the simulation. The experimental moving response of a bead with alternating field conditions is shown in Fig. 2h (see also ESI† Movie S1), where the tracked bead positions and the simulated path of motion in forward direction across the chip surface are indicated. By switching the magnetic field between
∥ to
∥, the microbead moves first away from one corner of higher field gradient (A) and then forward to the next corner of higher field gradient (B) and vice versa. This is agreement with the change of the potential landscape sketched in Fig. 2f. Therefore, for continuously changing field vectors between
∥ and
∥ the bead is moved in a forward (upward) direction with continuous flipping the magnetic potential landscape. Fig. 2i shows the simulated trajectory of the bead together with the potential energy landscape with the field along
∥ for the same conditions as in the experiment (see also ESI† Movie S2). The modelled data matches well the experimental response probed with lower sampling (frame) rate at identical applied field parameters. The results display a curved bead motion, not to be identified from the lower frame rate imaging.
For the same magnetic field conditions the locked motion of the larger ØMB = 8 μm bead is realized. The immobilization is a result of the beads' larger interactive volume on top of the closely spaced magnetic field gradients of the magnetic elements. For the initial field state ∥, the shifted position of the larger bead is indicated at corner A as seen from the calculated field gradient maps in Fig. 2j. The trapped position of the larger bead is determined by the corner A with the additional contribution form the adjacent edge gradient of the same triangle. This causes a large asymmetric shift in bead position around the corner. This effect of the field gradients from the neighbouring element adds to the shifted position of the bead. After switching the field direction from
∥ to
∥, the beads equilibrium position is towards the nearest higher field gradient at the top corner B of the neighbouring element. The optical images in Fig. 2k show the corresponding equilibrium positions of the bead before and after the switching of applied magnetic field which agrees with the simulation results. During the continuous field switching between
∥ and
∥ the bead is locked between the close positions (Fig. 2l, see also ESI† Movie S3). Modelling with equivalent applied parameters confirms the results (Fig. 2m, see also ESI† Movie S4). The larger bead moves in a triangular fashion and remains with the alternating field application.
Control experiments confirm no dependence of the motion of larger ØMB = 8 μm beads on the sense of directional switching of the applied field, i.e. between ∥ and now -
∥. In contrast, the motion response of smaller beads is determined by the signs of the applied switching fields. When the field sequence is altered from its initial state to
∥ and -
∥, the direction of bead motion changes accordingly. This consequently causes its trapping at the top corner of the adjacent pattern. Thus, altering the field directions along ±
∥, ±
∥ and ±
∥ different microcorridors and moving directions are realized on the trisymmetric magnetic pattern.
Exploiting the larger effective volume of bigger size beads, the weaker magnetic field gradients are employed to now enable the directional motion of larger beads. At the same time, smaller beads stay immobile on the magnetic surface due to the mutual effects of the weaker magnetic field gradients and the lower interactive volume of the beads.
Shown in Fig. 3 are the exemplary results for the immobile motion of a ØMB = 4 μm bead with the simultaneous forward motion of a ØMB = 8 μm bead at the applied magnetic field switching with a lower amplitude (Hext = 8 kA m−1). As a result, weaker magnetic field gradients develop that are revealed both by micromagnetic calculations and MFM measurements as shown in Fig. 3b and c.
The motion behaviour with frequency for experiments and simulations are shown in Fig. 3d and e. The main experimental characteristics are reproduced by the simulations. Stable conditions are again obtained for a field switching frequency of fswit = 3 Hz. No motion over the probed frequency range was detected for the smaller beads.
The initial position of the smaller bead is determined at the point of higher field gradient at the corner A with the application of field perpendicular to the opposite edge a of the triangle. Changing the field direction from ⊥ to
⊥ does not facilitate the motion of the smaller bead towards the next site of higher field gradient (corner B). The bead's immobility is due to the insufficient magnetic force from the edge b of the triangle. During the immobile response of the bead, only a slight lateral displacement in its initial position is determined by the calculated (Fig. 3f) and experimental (Fig. 3g) bead positioning. For the magnetic fields switching between
⊥ and
⊥, a continuous immobility of the bead is retraced in the tracked positions in Fig. 3h (see also ESI† Movie S5). Fig. 3i shows the simulated response of the smaller bead, matching well with the experiments (see also ESI† Movie S6). Using the low field amplitude sequence, the smaller bead is now made immobile.
The higher interactive volume of the larger ØMB = 8 μm beads now allows for their movement and thereby selective separation under the same applied field conditions. The symmetrically applied magnetic fields, with their orientations along the magnetic array edges, position the bead symmetrically between the patterns. The numerically calculated and experimentally determined matching positions of a ØMB = 8 μm bead before and after the magnetic field switching are displayed in Fig. 3j and k. The calculated transitional field condition is shown in Fig. 3j. The biased forward motion of the bead relies on inverting the field gradient landscape. At switching the field position from ⊥ to
⊥, the bead is first drawn toward the left (see centre potential map in Fig. 3j) and then after the switching attracted upward through the edge gradient until it reaches the corner B of the next triangle. The situation with changing the field from
⊥ to
⊥results in a net upward movement of the bead as indicated in Fig. 3l. Fig. 3m shows the calculated trace of the forward motion of a ØMB = 8 μm bead with alternatingly changing the directions of magnetic fields (see also ESI† Movie S7). The agreeing simulated path of bead motion for the same applied parameters is added in Fig. 3j (see also ESI† Movie S8). Naturally, varying the field along two of the ±
⊥, ±
⊥, and ±
⊥ directions other microcorridors and moving directions can be enabled on the magnetic array pattern.
The quantitative representation of the separation process is given in Fig. 4d. Shown are microbead counts within the field of observation versus the time required to complete the separation process. The smaller beads start moving forward from the mixture of bead populations as soon as the switching magnetic field is applied (Hext = ON). Already above 50% of the beads leave the field of view after 10 seconds of alternating field application. From 196 smaller beads in this example, 19 single beads remain within the field of view after 50 seconds. Throughout the separation process almost all the larger beads remain immobile and stay in the field of view, which is shown as a constant number on the microbeads count in Fig. 4d (only 1 out of 27 beads moved out of the field of view). To check the tendency of a possibly occurring unwanted slipping motion of locked larger beads, the applied magnetic field is changed to an ON and OFF status during the separation process. A few locked beads are displaced from their initial positions and only one bead slipping sideward from the area of observation was found.
Immobility of smaller beads is related to the possible emergence of their trapping at the opposite magnetic potential of the patterns with higher switching frequency of the magnetic field. An example of this is evidenced by a yellow encircled bead position in Fig. 4b.
Quantitative numbers of the separation efficiencies of microbeads21 with ØMB = 4 μm (SE4μm) are obtained using
For the data in plotted in Fig. 4d we obtain a separation efficiency of SE4μm = 0.91. Totaling counts of beads from six independent experiments results in an overall efficiency of SE4μm = 0.86 (see ESI† for details). Here the microbeads of different sizes are already separated with high efficiency. The obtained numbers are similar to the quantities obtained by flow cytometry reported in ref. 21.
Now we demonstrate the subsequent movement of the remaining larger diameter beads from the resultant mixture of differently sized microbeads with reversed separation characteristics. This is achieved by reducing the strength of applied magnetic field together with its reorientation to the triangular magnetic elements. The motion behaviour of both types of particles is now inverted. Starting from the first separation process, the previously locked larger beads are now transported across the magnetic chip with a simultaneous immobilization of the residual smaller beads. For the process, see ESI† Movie S10.
Fig. 4e shows the subsequently obtained ensemble of larger ØMB = 8 μm beads along with a few remaining smaller ØMB = 4 μm beads. At this time, we change the applied magnetic field to switching between ⊥ and
⊥ with a lower magnetic field amplitude of Hext = 8 kA m−1. With the same switching frequency of fswit = 3 Hz the larger beads are now selectively moved forward. Concurrently, the smaller beads are immobilized at their original positions. Fig. 4f shows the trapped positions of both type of beads for the field state
⊥, where the larger beads are in the forward direction and the smaller beads are being immobilized. Most of the larger beads move forward across the chip within the first 5 seconds of the subsequent magnetic field application. The micrograph in Fig. 4g shows that sixteen of the nineteen immobilized ØMB = 4 μm beads are still present on the chip surface within the field of view after the achieved selective separation from ØMB = 8 μm beads.
The microbead count versus time behaviour shown in Fig. 4h illustrates the directed separation of ØMB = 8 μm beads. Their number is constantly reducing in time, while three of the immobilized ØMB = 4 μm beads slip out of the field of view in the first 6 s. From a total 27 free moving ØMB = 8 μm beads 11 beads are still present after 20 s. Reason for the lower efficiency of separation is the blockage of their motion path by the residual immobilized smaller particles and particle agglomerates along the upward magnetic microcorridors.
Analogous to the first case, quantitative numbers of the total separation efficiencies of microbeads with ØMB = 8 μm diameter (SE8μm) are obtained using
Utilizing a combination of geometric (shape, size and distribution of magnetic patterns and diameters of beads) and magnetic (amplitude and direction of applied magnetic field) control parameters, the alternative separation of two bead populations is realized. An almost complete immobilization of one type of beads is demonstrated during the separating movement of the other type of beads.
Magnetic pattern array surfaces can enable the efficient separation of target biological entities from a biological sample for future lab-on-chip applications and in vitro diagnostics. The method is scalable and the requirements for magnetic field applications are straightforward. It is envisioned that the general scheme of flexible and field programmable magnetic surfaces for bead separation demonstrated here can be further extended to other magnetic surface designs and magnetic field sequences, offering manifold separation possibilities in comparison to the demonstrated two-fold separation scheme. With added periodicities of magnetic features, the separation of more than two sizes is envisioned. Applications of similar schemes to flow cells for selectively influencing the motion paths of dissimilar particles appear feasible. Magnetic array surfaces provide a platform with manifold possibilities for the incorporation in lab-on-chip applications.
Footnote |
† Electronic supplementary information (ESI) available. See DOI: 10.1039/d1lc00161b |
This journal is © The Royal Society of Chemistry 2021 |