We present ultracompact three-dimensional tubular structures integrating Au-based electrodes as impedimetric microsensors for the in-flow determination of mono- and divalent ionic species and HeLa cells. The microsensors show an improved performance of 2 orders of magnitude (limit of detection = 0.1 nM for KCl) compared to conventional planar conductivity detection systems integrated in microfluidic platforms and the capability to detect single HeLa cells in flowing phosphate buffered saline. These highly integrated conductivity tubular sensors thus open new possibilities for lab-in-a-tube devices for bioapplications such as biosensing and bioelectronics.
We present ultracompact three-dimensional tubular structures integrating Au-based electrodes as impedimetric microsensors for the in-flow determination of mono- and divalent ionic species and HeLa cells. The microsensors show an improved performance of 2 orders of magnitude (limit of detection = 0.1 nM for KCl) compared to conventional planar conductivity detection systems integrated in microfluidic platforms and the capability to detect single HeLa cells in flowing phosphate buffered saline. These highly integrated conductivity tubular sensors thus open new possibilities for lab-in-a-tube devices for bioapplications such as biosensing and bioelectronics.
The recent interest on highly
integrated microanalytical devices has promoted the development of
hybrid fabrication technologies that enable the miniaturization and
integration of all the stages associated to a (bio)analytical procedure
in a single device. The development of microfluidic platforms for
environmental, (bio)chemical and, more recently, cellular biology
applications, has presented an exponential growth in the last decades.[1−6] Silicon, glass, polymers, and ceramics are usually the materials
of choice for the attainment of accurate structures that may integrate
some steps of a classical analytical procedure (sampling, separation,
digestion, detection, and so forth) toward lab-in-a-chip devices.[6−11] Electrochemical detection,[12−14] especially conductivity detection,
offers great potentiality for microfluidic platforms with features
including high sensitivity, excellent miniaturization capability,
low-power requirements, compatibility with advanced microfabrication
technologies, relative low cost, and a high potential for portability.[15] Miniaturization of the detection electrodes
could even result in an improved sensitivity as a result of the reduced
noise.[16] By applying alternating current
between electrodes, conductance changes can be measured in solutions
of varied ionic species, a well-established and “label-free”
detection technique.[17]. The conductivity
(κ) of an electrolyte (E) is given by the molar
conductivity (λ) of the ionic species (E+ and E–) and their concentrations
(c), according to the equation[18]Several efforts have been put toward the integration of conductivity
detectors in microfluidic platforms.[19,20] Nevertheless,
due to technological limitations in the main microfabrication technologies
available today, the integration of geometries equivalent to in-flow
conventional devices at the macroscale, where electrodes are in a
tubular configuration around the channel, is very challenging and
thus not reported so far. Therefore, planar electrodes, which are
much easier to be integrated into chips, are nearly the only geometry
found in the literature.[17,21] There are generally
three electrode configurations: embedded in the microchip, attached
to it (placed either underneath the bottom or on top of the device),
or external to the device.[21] One limitation
of such devices is the reduced sensitivity. To overcome this issue,
some alternatives consist of increasing the detection area, decreasing
the dielectric constant of the material, and minimizing stray capacitances.
To increase the sensing area, configurations based on sidewall electrodes,
semicircular and dual top-bottom have been proposed. Lee et al[22]. reported the construction of semicircular electrodes
based on the deposition of Cr/Au around the channel, demonstrating
an increased sensitivity when compared with planar configurations.
Following that approach, Mahabadi et al.[23] described a dual top–bottom electrochemical cell configuration,
which consists of two pairs of copper strips embedded into two polymer
blocks placed inside the housing at the top and the bottom. The authors
claim that by increasing the detection area, the total capacitance
increases and enable an enhancement on the signal coupling with the
detection volume of the sample, leading to a signal increase from
40 to 65% in terms of peak height when compared to conventional top–top
electrode geometry. Thus, to further increase the detection area and,
consequently, the signal coupling and sensitivity of a detection system
integrated to microfluidic platforms, one possibility is to recreate
tubular electrodes as microfluidic channels with the inner/outer wall
functioning as sensing area. This is a challenge affordable using
the self-assembled rolled-up technology. Such self-assembled devices
rely on differentially strained oxide, metallic, or semiconductor
layers that roll-up into a tubular geometry once released from a host
substrate by selective etching of a sacrificial layer underneath.[24−26] Self-assembled rolled-up structures have become very attractive
in several application fields,[27] which
include micro/nano fluidics,[27,28] microrobotics,[29,30] optics,[31,32] micro/nano electronics,[33,34] magnetic,[28,36] and chemical sensors[37] as well as energy storage.[38,39] In particular, single cells have previously been detected optically
in a flexible split-wall microtube resonator sensor.[40] The great versatility of the conductive patterns that can
be embedded in/out of the tubular structure and their three-dimensionality
enable the definition of tubular microchannels for label free sensing
applications.In this work, a hybrid self-assembled rolled-up
tubular structure
with microelectrodes embedded on its inner surface was fabricated
and integrated in a PDMS-based microchip toward a lab-in-a-tube device
for electrochemical measurements. The axial configuration of the sensor
enables to overcome the main limitation regarding microfluidic structures,
that is, the use of planar electrodes. The self-rolling process used
for the development of the three-dimensional (3D) tubular microsensor
is outlined in Figure 1A. It starts with the
fabrication of a planar strained multilayer nanomembrane by the sequential
deposition of oxide and metallic thin films on the surface of a sacrificial
layer. In this case, the strained multilayer nanomembrane consists
of a 60 nm TiO2 thin film deposited on top of a sacrificial
layer of 20 nm Ge. The electrodes consist of 5 nm of Cr followed by
10 nm of Au patterned by conventional photolithography on top of the
TiO2 surface. The strained multilayer nanomembranes rolled-up
into microtubes with electrodes inside by the selective etching of
the underlying Ge layers using water as solvent (Figure 1B). This rolling-up methodology based on water makes the device
compatible for further bioapplications, including biofunctionalization
of electrodes/surfaces, cytometry, cell sorting/manipulation and biosensing,
among others. Rather than photoresist, the use of Ge, which is etched
slowly by water, leads to more compact and stable tubular structures
during the rolling process.[34] This stability
avoids some additional dehydration treatments and enables the repeated
use of the devices. After rolling up, a 250 μm long compact
tubular architecture with 1.5 windings and an outer diameter of 30
μm was obtained (see scanning electron microscopy (SEM) images
in Figures 1C and 1D).
The tubular electrodes inside the tube were 30 μm longitudinally
separated along the TiO2 inner surface, defining a tubular
detection volume of 169 pL.[42] The transparency
of the TiO2, inset in Figure 1C,
would enable the simultaneous optical detection and observation of
bio-organisms and labeled molecules flowing through the mictrotube.
This is of special interest for applications in the field of cellular
biology, because cells can be monitored both electrically and optically.
Figure 1
Fabrication
process for 3D tubular microsensors. (A) Sequence of
the layers deposition patterned by standard 2D photolithography and
the rolling up of the nanomembranes: (a) 20 nm Ge sacrificial layer
in green; (b) 60 nm TiO2 layer in blue; (c) 5 nm Cr layer
for enhancing gold adhesion in purple and 10 nm Au electrodes on top
of the planar structure in yellow; and (d) rolling up the nanomembranes
into rolled-up sensor after the selective etching of Ge in water.
(B) A 3D schematic representation of the experimental setup for in-flow
sensing. (C) SEM image of the 3D tubular microsensor 250 μm
in
length; the transparency of the strain layer enables to see the inner
of the microtube and layers overlapping caused by the half extra winding.
(D) Closed-up lateral view of the tubular structure with an outer
diameter of 30 μm. Inset in D presents an FIB cut performed
to the microtube to observe its cross section. There, one can observe
the Au electrodes on the TiO2 surface, leading to a tubular
structure with inner electrodes which will be in direct contact with
the solution flowing through the tube. The additional external and
internal layers observed correspond to the protective carbon layer
and the waste generated during the cut, respectively.
Fabrication
process for 3D tubular microsensors. (A) Sequence of
the layers deposition patterned by standard 2D photolithography and
the rolling up of the nanomembranes: (a) 20 nm Ge sacrificial layer
in green; (b) 60 nm TiO2 layer in blue; (c) 5 nm Cr layer
for enhancing gold adhesion in purple and 10 nm Au electrodes on top
of the planar structure in yellow; and (d) rolling up the nanomembranes
into rolled-up sensor after the selective etching of Ge in water.
(B) A 3D schematic representation of the experimental setup for in-flow
sensing. (C) SEM image of the 3D tubular microsensor 250 μm
in
length; the transparency of the strain layer enables to see the inner
of the microtube and layers overlapping caused by the half extra winding.
(D) Closed-up lateral view of the tubular structure with an outer
diameter of 30 μm. Inset in D presents an FIB cut performed
to the microtube to observe its cross section. There, one can observe
the Au electrodes on the TiO2 surface, leading to a tubular
structure with inner electrodes which will be in direct contact with
the solution flowing through the tube. The additional external and
internal layers observed correspond to the protective carbon layer
and the waste generated during the cut, respectively.To further improve the mechanical stability and
the sensitivity
of the 3D electrodes configuration, we isolated the exposed area of
the electrodes (outside of the microtube) by depositing 100 nm of
SiO2. In this way, only the electrodes defined in the inner
surface of the microtubes were in direct contact with the analyte
(ionic solution/cells). We tested the 3D tubular approach in continuous
flow conditions, using the experimental setup presented in Figure 1B. The tubular microsensor was then integrated into
a polydimethylsiloxane (PDMS)-based microfluidic device fabricated
using standard soft lithography.A planar microsensor containing
the same strained multilayer nanomembranes
was used as control during the impedance measurement (Figure 2A insets for comparison). Figure 2A shows Bode plots for planar (black squares) and tubular
(red circles) microsensors flowing aqueous solutions containing KCl
10–4 M as analyte. Flow rate and sample volume were
set at 18 μL/min and 20 μL, respectively. The procedure
was performed at three different potentials (0.5, 1, and 2 Vpp). We
observed no significant difference when different potentials were
applied, thus for later experiments we used 1 Vpp. Error bars were
calculated from triplicate of signals at each frequency and potential,
showing a highly repeatable system. At low frequencies, the impedance
is limited by the double layer capacitances. For higher frequencies,
the impedance depends only on the resistance of the solution, resulting
in a plateau. It is important to operate the sensor at a frequency
in the plateau region for maximum signal strength and to avoid peak
distortions, which occur at lower frequencies.[43,44] We observed a higher sensitivity to frequency in the rolled-up configuration
at the lower frequencies region (below 10 kHz). In traditional microfluidic
chips, the use of dual top-bottom electrode geometries, doubles the
total capacitance and enables an enhancement on the signal coupling
with the sample volume when compared with top-top planar geometries.[21] Therefore, an increase of the total capacitive
effect of the rolled-up system, caused by the use of an axial sensor
instead of a planar one, would be expected, and is illustrated in
Figure 2A.
Figure 2
(A) Frequency dependence of the impedance
of the 3D tubular microsensor
and its equivalent planar configuration. (B) Sequential injections
of KCl 0.1 mM to test the stability of the 3D tubular microsensor.
The % RSD was found to be 1.34% (n = 11; at 95% confidence).
(C) Calibration performed with the 3D tubular microsensor for several
KCl concentrations: [a] = 10–4 M; [b] = 10–5 M; [c] = 10–6 M; [d] = 10–7 M;
and [e] = 10–8 M. (D) Calibration plots obtained
for KCl at different concentrations (10–4–10–8 M) for sensors in planar or 3D tubular configuration.
Higher sensitivity can be clearly observed in the axial tubular sensor
when compared to its thin-film planar counterpart when KCl concentration
is lower than 10–6 M.
(A) Frequency dependence of the impedance
of the 3D tubular microsensor
and its equivalent planar configuration. (B) Sequential injections
of KCl 0.1 mM to test the stability of the 3D tubular microsensor.
The % RSD was found to be 1.34% (n = 11; at 95% confidence).
(C) Calibration performed with the 3D tubular microsensor for several
KCl concentrations: [a] = 10–4 M; [b] = 10–5 M; [c] = 10–6 M; [d] = 10–7 M;
and [e] = 10–8 M. (D) Calibration plots obtained
for KCl at different concentrations (10–4–10–8 M) for sensors in planar or 3D tubular configuration.
Higher sensitivity can be clearly observed in the axial tubular sensor
when compared to its thin-film planar counterpart when KCl concentration
is lower than 10–6 M.Figure 2B demonstrates the repeatability
and stability of the electrochemical system, which was estimated as
the relative standard deviation (RSD), for a concentration of 0.1
mM KCl, RSD = 1.34% (n = 11; at 95% confidence).
The limit of detection (LOD) was calculated as three times the standard
deviation of the baseline signal, which resulted in a value of 0.1
nM, 2 orders of magnitude lower when compared to similar in-flow conductivity
sensors reported in the literature.[19]To test the analytical response of the 3D tubular microsensor,
we performed a calibration using KCl as a model analyte at concentrations
ranging from 10–8 M to 10–4 M,
using the same experimental conditions as previously. The impedance
measurements were done by applying a sinusoidal signal 1 Vpp with
a frequency of 50 kHz, which is in the plateau region of the frequency
response graph previously obtained in Figure 2A. Figure 2C presents the real-time resistance
variations on the 3D tubular microsensor when triplicate injections
of KCl at different concentrations are performed. The magnitude of
the impedance was estimated by using the expression |Z| = [R2 + X2]1/2; where R is resistance and X is reactance. The equation that describes the behavior of the system
for KCl isr2 = 0.9701(n = 3; 95% confidence).
Figure 2D
shows the calibration plots obtained for KCl at concentrations ranging
from 10–8 M to 10–4 M using the
rolled-up sample as well as the planar one under the same experimental
conditions. According to these results, the 3D tubular microsensor
presents a higher sensitivity when compared to its planar counterpart,
which was not able to provide a significant difference on the signal
response for concentrations below 10–6 M. The planar
device presented a linear behavior in the range from 10–4 to 10–6 M, which can be described by the expressionr2 = 0.9402(n = 3; 95% confidence). In this case the
LOD was found to be 0.8 μM.The microfluidics-based setup
enables to flow aqueous solutions
containing different electrolytes through the 3D tubular microsensor
in sequence and detect the ionic concentration. As cations, especially
calcium ions, have been recognized as essential mediator in important
physiological processes, such as cell proliferation and tumorgenesis,[45,46] our sensor then opens a fast, fully integrated and label-free way
to detect cations with biorelevant interest at extremely low concentration.
Figure 3A,B presents the real-time monitoring
of the impedance while aqueous NH4Cl and CaCl2 at concentrations ranging from 10–3 to 10–7 M flew through the microfluidic device. In this case,
as for KCl, we performed a previous optimization procedure for each
electroanalyte, including electrical and fluidic parameters, in order
to obtain the highest sensitivity for each of them. The insets in
Figure 3 show the calibration plot obtained
for each salt. The limit of detection (LOD) was calculated as three
times the standard deviation of the base signal, resulting in values
of 87 nM for NH4Cl and 100 nM for CaCl2, respectively.
These data indicate the high sensitivity of our 3D tubular microsensor
to various ionic species.
Figure 3
Calibration performed with the 3D tubular microsensor
for several
NH4Cl (A) and CaCl2 (B) concentrations: [a]
= 10–3 M; [b] = 10–4 M; [c] =
10–5 M; [d] = 10–6 M; and [e]
= 10–7 M. Flow rate and sample volume were set at
18 μL/min and 20 μL/min, respectively, for both salts.
A sinusoidal signal with amplitude of 1 Vpp and frequency equal to
1 and 10 kHz for NH4Cl and CaCl2, respectively,
was applied to measure the solution impedance. Insets show calibration
plots obtained for NH4Cl and CaCl2 at different
concentrations (10–3–10–7 M) for the tubular microsensor.
Calibration performed with the 3D tubular microsensor
for several
NH4Cl (A) and CaCl2 (B) concentrations: [a]
= 10–3 M; [b] = 10–4 M; [c] =
10–5 M; [d] = 10–6 M; and [e]
= 10–7 M. Flow rate and sample volume were set at
18 μL/min and 20 μL/min, respectively, for both salts.
A sinusoidal signal with amplitude of 1 Vpp and frequency equal to
1 and 10 kHz for NH4Cl and CaCl2, respectively,
was applied to measure the solution impedance. Insets show calibration
plots obtained for NH4Cl and CaCl2 at different
concentrations (10–3–10–7 M) for the tubular microsensor.Currently, several efforts are ongoing toward single cell
detection
using microfluidic devices based on label free conductivity measurements.
Morgan et al.[47−49] presented interesting works regarding current methods
for single cell dielectric spectroscopy, including theoretical studies
and simulations. Sun et al.[50] concluded
in their theoretical study that for identical geometrical parameters,
a design based on parallel electrodes is more sensitive than a coplanar
configuration. In this sense, an improved behavior would be expected
by using our 3D tubular microsensors.The high sensitivity of
the rolled-up tubular microsensors to solutions
of low ionic strength inspires us to explore their bioapplication,
such as detection of cancer cells, which is highly important in cancer
diagnosis. The presence of various anionic molecules, such as phosphatidylserine,[51] sialic acid, and heparin sulfate[52] on cancer cell membranes lead to an overall
negatively charged cell surface in comparison to negligible or weak
negative charged noncancerous cell membranes.[53] The presence of cancer cells may then have an impact on the bulk
electrical properties of an aqueous solution with low ionic strength
due to the attraction of cations to the vicinity of the cells and
the isolative plasma membrane and low mobility of the cells. Indeed,
when we flew 20 μL 1× phosphate-buffered saline (PBS) containing
HeLa cells through the sensor, we detected an increase in the resistance
compared to the baseline of PBS (Figure 4A).
Figure 4A shows the real-time monitoring of
resistance changes when flowing PBS of different HeLa cell concentrations.
The calibration plot (inset in Figure 4A) indicates
a linear response with the HeLa cells ranging from 900 to 9000 cells/mL
in flowing solutions (2 μL/min) with a detection limit of ∼5
cells/mL. To our knowledge, no existing electrical system detects
suspended cancer cells in flowing solutions at such a low concentration.
Furthermore, the sensor was able to respond to a single cell within
a nearly one million cells/mL solution. Figure 4B shows the real time variations in the resistance when a single
HeLa cell in a 9 × 105 cells/mL concentration passes
through the tubular cavity of the sensor. We observed a sudden increase
in the resistance magnitude of about 20 kΩ and a sharp return
to the baseline, corresponding to the cell passing through the microtube,
marked inside yellow circle. We therefore conclude that our rolled-up
tubular impedimetric sensor is capable of detecting single cancer
cells in flow conditions in a real-time, label-free and nondestructive
manner.
Figure 4
Detection of cellular population and single cell events with integrated
tubular sensors. (A) Real-time monitoring of the resistance when flowing
PBS solutions of varied HeLa cell concentrations through the microchannel.
The frequency of the sinusoidal signal applied during measurement
was 1 kHz and the voltage was 1 Vpp. The inset shows the calibration
plot of resistance versus cell concentrations and the linear fit to
the data. (B) Optical image presents a single HeLa cell (yellow dash
cycle, top) is about to go through the tubular cavity of the sensor
(yellow arrow indicates the direction) and the corresponding real-time
changes in the resistance read-out (bottom).
Detection of cellular population and single cell events with integrated
tubular sensors. (A) Real-time monitoring of the resistance when flowing
PBS solutions of varied HeLa cell concentrations through the microchannel.
The frequency of the sinusoidal signal applied during measurement
was 1 kHz and the voltage was 1 Vpp. The inset shows the calibration
plot of resistance versus cell concentrations and the linear fit to
the data. (B) Optical image presents a single HeLa cell (yellow dash
cycle, top) is about to go through the tubular cavity of the sensor
(yellow arrow indicates the direction) and the corresponding real-time
changes in the resistance read-out (bottom).In this work, we presented the fabrication of a 3D tubular
impedimetric
microsensor with rolled-up nanotechnology integrated into microfluidic
chips. The tubular cavity of the sensor enhances the sensitivity to
the impedance of aqueous solutions and allows the label-free detection
of various ionic species at significantly low concentrations. Particularly,
without functionalization of the sensor surface, we demonstrate its
potential to detect suspended cancer cells in flowing PBS down to
single cell resolution. In comparison with other cell sensors employing
optical or magnetic methods,[25,54−56] our reusable sensor requests no expensive and complicated instrument,
when compared with conventional optical detection systems, and utilizes
noninvasive dielectric spectroscopy to analyze the samples. It is
then of great interest to improve the sensitivity for distinguishing
different cells and identifying other biomaterials. Furthermore, the
impedance spectroscopy of single cells within the cavity of the sensor
may provide 3D resolution of intrinsic cellular activities. Collectively,
the 3D tubular impedance biosensor designed here opens up the possibility
of developing a highly compact and rapid platform for future bioapplications
and disease diagnostics.
Authors: Elliot J Smith; Wang Xi; Denys Makarov; Ingolf Mönch; Stefan Harazim; Vladimir A Bolaños Quiñones; Christine K Schmidt; Yongfeng Mei; Samuel Sanchez; Oliver G Schmidt Journal: Lab Chip Date: 2012-03-22 Impact factor: 6.799
Authors: Stefan M Harazim; Vladimir A Bolaños Quiñones; Suwit Kiravittaya; Samuel Sanchez; Oliver G Schmidt Journal: Lab Chip Date: 2012-06-28 Impact factor: 6.799
Authors: Kambiz A Mahabadi; Isabel Rodriguez; Chee Y Lim; Devendra K Maurya; Peter C Hauser; Nico F de Rooij Journal: Electrophoresis Date: 2010-03 Impact factor: 3.535
Authors: Britta Koch; Anne K Meyer; Linda Helbig; Stefan M Harazim; Alexander Storch; Samuel Sanchez; Oliver G Schmidt Journal: Nano Lett Date: 2015-07-16 Impact factor: 11.189
Authors: Cornelius S Bausch; Christian Heyn; Wolfgang Hansen; Insa M A Wolf; Björn-Philipp Diercks; Andreas H Guse; Robert H Blick Journal: Sci Rep Date: 2017-01-30 Impact factor: 4.379