Impedance Spectroscopy Theory Experiment and Applications Macdonald
Breast tumor cell detection at single cell resolution using an electrochemical impedance technique
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Transcript of Breast tumor cell detection at single cell resolution using an electrochemical impedance technique
Breast tumor cell detection at single cell resolution using an electrochemicalimpedance technique{
Sunil K. Arya,*a Kok Chuan Lee,a Dhiya’uddin Bin Dah’alan,b Daniel a and Abdur Rub Abdur Rahman*ac
Received 29th November 2011, Accepted 12th March 2012
DOI: 10.1039/c2lc21174b
Gold micro-electrodes with various diameters (25, 50, 75, 100 and 250 mm) were manufactured using
standard micro-fabrication techniques and optimized for counting of MCF-7 cells (breast tumor cells)
with single cell resolution. For specific cell capture, anti-EpCAM was immobilized on 11-
mercaptoundecanoic acid (11-MUA)-3-mercaptopropionic acid (3-MPA) mixed self-assembled
monolayer (SAM) modified gold surface of micro-electrodes. Electrodes were characterized using
optical, cyclic voltammetry and electrochemical impedance spectroscopic (EIS) techniques. Cell
capture response recorded using EIS suggested that optimum electrode dimensions should be
analogous to desired cell size. For MCF-7 cells with an average diameter of 18 ¡ 2 mm, an electrode
with 25 mm diameter was established as the optimum electrode size for precise single cell recognition
and enumeration. In EIS investigation, the 25 mm electrode exhibited an impedance change of
y2.2 6 107 V in response to a single tumor cell captured on its surface. On the other hand other
electrodes (250, 100, 75 and 50 mm) showed much less response for a single tumor cell. In future, the
use of high density arrays of such electrodes with surface modifications will result in miniaturized lab
on a chip devices for precise counting of MCF-7 cells with single cell resolution.
1. Introduction
Cancer and its metastasis with malignant cancer cells spreading
to distant sites is a leading cause of mortality and despite
advances in early detection and treatment, patients continue to
suffer from the disease.1–4 Precise counting of tumor cells in the
blood of cancer patients will be the most appropriate approach
for more reliable and effective diagnosis of cancer.5–13 Among
various cancers, breast cancer is the most common type of cancer
in women, and its distant metastasis is regarded as a major cause
of death.3,14–16 Recently, it has been shown that patients with
metastatic breast cancer having more than five circulating tumor
cells (CTCs) per 7.5 ml of blood have a much lower survival rate
than patients with fewer cells.1,7,17 Given that clinical decisions
could be made based on very few CTCs, it is critical to develop a
highly sensitive and unbiased method to enumerate them.
However, the main technical challenge in counting these cells
in peripheral blood lies in the rarity,7,17,18 and non-existence of
technology with high sensitivity to specifically count the low
numbers of tumor cells (y1 per ml of whole blood) that
characterize minimal levels of disease.19
Currently, the FDA-approved CellSearchTM system from
Veridex is in use to measure levels of CTCs in various metastatic
cancers patients.7,16,17 Further, to improve the sensitivity and
detection limit, the search for new and reliable methods has been a
subject of intense research.12,20,21 However, to achieve standard-
of-care status at global level, improvements in precision and
detection reproducibility of these cells at single cell level is
essential.1 In the case of breast cancer, MCF-7 cells derived from
breast adenocarcinoma is the most widely used epithelial cancer
cell line for investigating new detection and counting methods.
Researchers have previously reported various protocols to
enrich CTCs from large volumes of blood.4,17,22–35 However, for
cell recognition and enumeration, the majority of the methodol-
ogies use optical fluorescence.12,17,27–31,33,36 Although this
method has the advantage of being quite mature and well
established, it is labor intensive, costly, time consuming and
suffers from operator variance.37 Recently, non-optical methods
such as conductivity based sensor, impedimetric transduction,
voltammetric transduction etc. have also been used and proved
beneficial for sensitive detection and counting.6,15,38–41
Presently, in non-optical/electrochemical methods, large
macro-electrodes are commonly used to record cell capture
signals.6,15,38,42 However, large area electrodes are limited in
their resolution to the minimum number of cells that can be
precisely detected. Thus, micro-electrodes are desirable for
applications such as in rare cell counting, wherein higher
aBioelectronics Programme, Institute of Microelectronics, A*STAR(Agency for Science, Technology and Research), 11 Science Park Road,Singapore Science Park II, Singapore 117685.E-mail: [email protected] (Sunil K Arya)bSchool of Engineering, Department of Biomedical Engineering, Ngee AnnPolytechnic, SingaporecGenome Institute of Singapore, A*STAR (Agency for Science,Technology and Research), 60 Biopolis street, Singapore 138672.E-mail: mailto:[email protected] (Abdur Rub Abdur Rahman);Fax: +65 64640517; Tel: +65 90702464{ Electronic supplementary information (ESI) available. See DOI:10.1039/c2lc21174b
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2362 | Lab Chip, 2012, 12, 2362–2368 This journal is � The Royal Society of Chemistry 2012
resolution is required. Micro-electrodes offer several benefits
over larger area macro-electrodes, such as higher sensitivity with
minimum variability due to radial diffusion profile as opposed to
a planar diffusion profile in macro-electrodes.43–46 The cap-
ability of detecting up to 10 MCF-7 cells per electrode has
already been reported in our prior work.41 Jiang and Spencer
demonstrated the use of micro-electrode arrays for precise
counting of CD4+ cells.47 They utilized densely packed working
electrode pixels comparable to cells in size and achieved single
cell resolution by measuring interfacial impedance change on
each independent pixel.
Asphahani et al. described the response behavior of chlor-
otoxin, an ion channel inhibitor, on the human glioblastoma
cells bound on different size micro electrodes using impedance
change. For cell binding, cultured cells were allowed to adhere to
the electrode for 24 h under standard culture conditions. Results
of their studies indicate that detecting electrode hosting a single
cell exhibited a significant change in impedance, whilst electrodes
hosting a large number of cells showed little or no change in
impedance.48 In other reports on microfluidic based single cell
impedance sensors, cell topography, ion channel activity, degree
of metastatic behavior of cancer cell etc., were recorded for single
positioned cell or cell passing under laminar flow.39,49–53
However, to the best of our knowledge, there are no reports
on the detailed characterization of electrode size effect with the
view of achieving precise counting of cancerous cells with single
cell recognition.
In this study, attempts have been made to optimize the
dimensions and surface chemistry for gold micro-electrodes to
achieve precise counting of breast cancer MCF-7 cells via label
free electrochemical impedance spectroscopy (EIS) based detec-
tion at a single cell level. Investigations were made to record the
response of electrodes with a surface coverage of approximately
0, 25, 50 and 100%. The experimental results revealed that the
larger electrodes are incapable of resolving a single cell, whereas
the use of a 25 mm electrode for a single MCF-7 cell produces a
shift of more than 107 V in the EIS signal, leading to an
unambiguous differentiation between the states of presence and
absence of a single cell. Thus, via label free EIS technique and the
use of a micro-electrode array with an optimized electrode, a
binary ‘‘on/off’’ type response for better understanding and
counting of MCF-7 cells at single cell level can be achieved.
Fig. 1 shows the schematic of an electrochemical current
response of 25 to 250 mm electrodes for the presence of a single
cell.
2. Materials and methods
2.1 Chemicals and reagents
11-mercaptoundecanoic acid 95% (11-MUA, cat# 450561),
3-mercaptopropionic acid 99% (3-MPA, cat# M580),
N-hydroxysuccinimide 97% (NHS, cat# 56480), 1-ethyl-3-(3-
dimethylaminopropyl) carbodiimide hydrochloride (EDAC,
cat# E6383), ferrocenecarboxylic acid 97% (FcCOOH) (cat
#106887), 4-morpholineethanesulfonic acid monohydrate (MES,
cat#69889) and bovine serum albumin (BSA, cat# A3294) were
obtained from Sigma-Aldrich, USA. Phosphate buffer solution
(PBS, pH = 7.4) was from Invitrogen, USA. Epithelial VU-1D9
antibody (anti-EpCAM) (cat# 01420) was from StemCell
Technologies Inc. (Vancouver, Canada). MCF-7 cells, from a
human breast cancer tumor, were purchased from the American
Type Culture Collection (ATCC) (cat # HTB-22) and received as
frozen vials. They were cultured in Minimum Essential Media
(MEM) (Gibco, cat # 11095-080) completed with 10% FBS
(Gibco, cat # 10270106), 1 mM sodium pyruvate (Gibco, cat#
11360-070), and 0.1 mM MEM non-essential amino acids
(Gibco, cat #11140-050).
2.2 Micro-electrode fabrication
Micro-electrodes with varying sensing areas (Fig. 2) were
fabricated on silicon wafer using standard silicon micro-
fabrication techniques. Low stress silicon dioxide (1 mm) was
deposited on the silicon substrate before gold metal micro-
electrode patterning, to provide insulation between various
micro-electrodes. The titanium (Ti; 0.1 mm)–gold (Au; 1 mm)
film stack was deposited on the oxide coated wafers using
electron-beam evaporator (Temescal Inc). The Ti layer acts as
the adhesion promoter for the gold film. The sensing micro-
electrodes, bond pads and connecting route lines were patterned
by a series of processes involving photoresist spin coating (PFI-
A26, Sumitomo Chemical Co., Ltd.), photolithography through
a chrome mask in EVG 5200 Mask Aligner (EVG Group),
and photoresist development in Shipley MF-319 developer
(MicroChem Corp.). The unpatterned metal regions were etched
with acid: Au etchant (Au-600, CLC) for the top Au film, and Ti
Fig. 1 Illustration of electrochemical current response of the 25 to
250 mm electrodes for the presence of a single cell.
This journal is � The Royal Society of Chemistry 2012 Lab Chip, 2012, 12, 2362–2368 | 2363
etchant (Ti-890, CLC) for the adhesion Ti layer. The photoresist
was stripped in solvent and the wafers were cleaned in
H2SO4 : H2O2 solution (3 : 1) at 125 uC to remove residual
polymer contamination. Subsequently, the wafer was passivated
with moisture barrier layers SiO2 (0.8 mm)–Si3N4 (0.2 mm)
through plasma enhanced chemical vapor deposition (PECVD).
PECVD was conducted at 200 uC to prevent inter-diffusion of Ti
into the Au surface. The sensing microelectrodes array and bond
pads were exposed for electrochemical analysis after photolitho-
graphy and reactive ion etching (RIE) with CF4. The fabricated
gold micro-electrodes were characterized for resistance and
roughness and found to possess a sheet resistance of 3.6 mV-cm
and an average surface roughness of 50 ¡ 5 nm.
2.3 11-MUA and 3-MPA mixed self-assembled monolayer (SAM)
formation and immobilization of anti-EpCAM antibodies on
electrode surface
The micro-electrodes were first cleaned using piranha solution
(H2SO4 : H2O2; 3 : 1 in volume) and sonicated in ultra-pure
water several times. The piranha cleaned electrodes were
subjected to plasma oxidation and soaked in a freshly
prepared mixture of 2 mM 11-MUA and 20 mM 3-MPA in
ethanol (MUA : MPA = 1 : 10, v/v) overnight at room
temperature for SAM formation. SAM modified electrodes
were rinsed in ethanol and ultra-pure water and dried under
nitrogen gas.
For antibody immobilization on the electrode surface, the
carboxylic groups on the mixed SAM modified micro-
electrode surface were activated via immersing in a solution
of 150 mM EDAC and 30 mM NHS in MES buffer (0.1 M
MES, 0.5 M sodium chloride, pH 6) and incubating on a
rotator for 45 min at room temperature. The electrodes were
then rinsed in ultra-pure water twice and incubated with 10 ml
of 100 mg ml21 of anti-EpCAM antibodies in PBS for 4 h at
room temperature for covalent binding of anti-EpCAM
antibodies onto the mixed SAM modified surface. The
electrodes were then rinsed with PBS–tween twice and
incubated with 1% BSA for an hour at room temperature to
block nonspecific sites. The electrodes were stored in PBS
under 4 uC when not in use.
2.4 Cyclic voltammetry (CV) and electrochemical impedance
spectroscopy (EIS) characterization of micro-electrodes
For CV characterization, three-electrode electrochemical cyclic
voltammetry was performed using the electrochemical work-
station, CHI660C (CH Instruments Inc., USA). CV was
performed between the various working electrodes and the
counter electrode of gold, with an off chip Ag/AgCl reference
electrode in 1 mM ferrocene carboxylic acid with 1 mM
potassium chloride solution. CV studies were performed using
DC voltage and no AC frequency was applied. For CV data
recording, measurements were carried out at 0 to 0.7 V at a scan
rate of 0.01 V s21.
For EIS testing, the impedance detection set-up consisted of a
test jig, connection wires, and an impedance measurement
system (Autolab Impedance Analyzer, Ecochemie) controlled
by a computer. The impedance was measured from individual
working electrodes and the on-chip counter electrode at 0.35 V
with respect to the Ag/AgCl reference electrode in a 3 electrode
set up at an amplitude of 0.025 V. The frequencies ranged from
1 Hz to 106 Hz and 29 data points (7 points per decade) were
recorded and analyzed for each measurement.
Fig. 2 Design of micro-electrodes of various sizes and their arrangement. Inset on the lower right is the optical image of the actual fabricated
electrode.
2364 | Lab Chip, 2012, 12, 2362–2368 This journal is � The Royal Society of Chemistry 2012
2.5 Cell capturing studies
For specific capture of MCF-7 cells, 10 ml of MCF-7 cells of
appropriate concentrations were loaded onto the chips and
concentrated on the electrode surface using patch clamp setup
(World Precision Instruments, USA). The cells were allowed to
interact with surface bound anti-EpCAM for 1 h at 37 uC for
specific cell capture via standard antibody–antigen binding based
chemistry. After cell capture, the chip was washed gently with
PBS to remove any unbound cells. Cell capture was character-
ized using CV and EIS techniques and used for optimization of
the micro-electrode for single cell detection.
3. Results and discussions
3.1 Optical characterization of micro electrodes
Fig. 3a and b show the optical and fluorescent images of blank
micro-electrodes, respectively. The exposed circular area covered
by a ring represents the active gold area and contribute to the
signal. All other areas, including connection wires covered with
an insulating SiO2/Si3N4 layer, do not contribute to any signal.
Fig. 3c and d show the fluorescence images of micro-electrodes
modified with fluorescent tagged antibodies. The bright fluores-
cence coming from the circular area confirms the uniform and
dense binding of antibodies on the MUA/MPA mixed SAM
modified gold surface via EDC/NHS activation. Fig. 3e and f
show the optical and fluorescent images of cells bound on micro-
electrodes and on 25 mm diameter electrode, respectively.
3.2 Electrode characterization using CV and EIS
Fig. 4a shows the cyclic voltammograms of various size
electrodes at a 0.01 V s21 scan rate. It is evident from Fig. 4a
that the 500 mm diameter electrode exhibits diffusion-limited
macro-electrode characteristics, which gradually transits towards
micro-electrode behavior as the electrode diameter decreases.
Fig. 4b shows the impedance magnitude plot (bode diagram) of
500, 250, 100, 75, 50 and 25 mm diameter electrodes in 1 mM
ferrocene carboxylic acid solution. The impedance plot reveals a
systematic increase in impedance with decreasing electrode size.
This can be attributed to the dependence on both solution
resistance and double layer capacitance on the surface area of the
electrode. It is speculated that the distance of the reference and
counter electrodes from various working electrodes might affect
the response, however, to avoid any interference, the size of the
counter and reference electrodes were kept very large compared
to the electrode size. Also, the counter electrode covers all of the
electrodes in the chip design, thus producing a uniform field over
all micro-electrodes. In addition, to further minimize any effects,
the difference in response signals before and after cell capture
was measured and used for analysis.
The transition of diffusion-limited macro-electrode character-
istics for 500 mm to micro-electrode behavior for 25 mm was also
visible in the Randles-Sevcik plot of the peak current densities
plotted with respect to the square root of scan rate for various
electrodes (Fig. 5). In the Randles-Sevcik plot for various
electrodes, peak current density is seen to increase with
decreasing electrode size as a consequence of large currents
supported by radial diffusion. This micro-electrode characteristic
is found to be key to the success of the 25 mm electrode in
providing the binary ‘‘on/off’’ type response to the presence and
absence of cells as opposed to the larger electrode which provides
a less distinct and more ambiguous response to the presence of a
single cell. The radial diffusion profile for smaller electrodes
allows much larger current densities as compared to larger
electrodes and when such an electrode experiences surface
blockage due to the presence of a cell, the reduction in surface
current is dramatic.
3.3 Effect of surface modification on electrode currents
CV spectra were recorded to characterize and confirm the
surface modification at each step. Fig. 6 shows the CV spectra of
a bare electrode, with mixed SAM, with anti-EpCAM and with
cells for 250 mm and 25 mm electrodes, respectively.
Supplementary Fig. 1 (ESI{) shows the CV spectra for other
electrodes. From Fig. 6, it is clear that the CV profile of the
electrodes was substantially altered due to the surface treatment
at each step, thus confirming the modification and binding of
antibodies (anti-EpCAM) for specific capture of MCF-7 cells.
Further, the electrodes showed consistent deviations in current
after cell capture. For surface coverage effect, electrodes
saturated with cells on the surface were tested and analyzed.
The 25 mm electrode holding a single cell exhibited the most
significant change in CV current (Fig. 6). The current for 25 mm
Fig. 3 (a) Optical image of blank micro-electrodes; (b) fluorescent
image of blank micro-electrodes; (c) and (d) fluorescence image of micro
electrodes modified with fluorescent tagged antibody; (e) optical image of
a cell bound on micro-electrodes, inset (e) optical image of a cell bound
on 25 mm diameter electrode; and (f) fluorescent image of cells bound on
25 mm diameter electrode.
This journal is � The Royal Society of Chemistry 2012 Lab Chip, 2012, 12, 2362–2368 | 2365
electrode dropped to almost zero upon capture of cell, where as
significant current was observed for saturated 250 mm electrode.
It is this effect which suggested that 25 mm diameter electrode is
ideal for single MCF-7 tumor cells detection.
3.4 EIS studies for MCF-7 cell detection
Impedance has been widely used to detect cells on electrodes and
as such is the preferred method due to its non-destructive nature
and its ability to probe live cells.54 Fig. 7a shows the impedance
response of a 100 mm electrode with various cell populations
covering approximately 0, 25, 50 and 100%. The non-linear
dependence change in impedance recorded at 20 Hz was found to
be 1.2 6 105 V, 6.7 6 105 V and 4.0 6 106 V for 25, 50 and
100% coverage, respectively. The non-linearity of impedance
response to capture a varying number of cells may arise from the
changing nature of the electrode diffusion profile from planar to
linear as more and more of the surface area is taken up by the
cells. Supplementary Fig. 2 and 3 (ESI{) show the impedance
spectra for various electrodes for cell capture experiments.
Fig. 7 (b) shows the change in impedance of 25, 50, 75, 100 and
250 mm electrodes for the presence of a single cell. The 25 mm
electrode exhibited an impedance change of 2.2 6 107 V at 20 Hz
in the presence of cells as compared to the other electrodes,
which showed a change between 3.6 6 105 V and 1.1 6 104 V in
response to the presence of a single cell on the surface. The
resolution for bigger electrodes is limited by the change in
surface area coverage brought about by the single cell as well as
the measurement resolution and error of the measuring
instrument. In present study, the best resolution with binary
Fig. 4 (a) CV spectra of the 500 to 25 mm diameter bare electrodes in 1 mM FcCOOH at 0.01 V s21 scan rate, (b) Impedance spectra of 500 to 25 mm
electrodes in 1 mM FcCOOH.
Fig. 5 Randles–Sevcik plots of 500 to 25 mm electrodes in 1 mM
FcCOOH. The peak current densities show consistent scaling with
electrode size.
Fig. 6 CV spectra of (i) bare (ii) with mixed SAM, (iii) with anti-EpCAM and (iv) with cells for 250 mm (a) and 25 mm (b) electrodes, respectively.
2366 | Lab Chip, 2012, 12, 2362–2368 This journal is � The Royal Society of Chemistry 2012
‘‘on/off’’ type response upon the presence and absence of a single
MCF-7 tumor cell was achieved with a 25 mm electrode.
Response time, the time taken by the chip to capture cells
(incubation time with cells), and measure response was found to
be about 65 min. The best sensitivity was observed for the 25 mm
electrode which has size analogous to MCF-7 cells. Also, antibody
modified chips were stored at 4 uC when not in use and were found
to be stable and effective for cell capture for more than 1 month.
Conclusion
Cyclic voltammetry (CV) and electrochemical impedance spec-
troscopic (EIS) techniques have been used to analyze gold micro-
electrodes with different diameter size (25, 50, 75, 100 and
250 mm) for breast cancer MCF-7 cell capture response. Cells
were successfully and specifically captured using an anti-
EpCAM modified surface and the optimum electrode size
(25 mm diameter) was established for the precise detection of
single MCF-7 cells with an average diameter of 18 ¡ 2. The
25 mm electrode in the EIS investigation exhibited an impedance
change of 2.2 6 107 V at 20 Hz in response to a single MCF-7
cell captured on its surface, whereas other electrodes (250, 100,
75 and 50 mm) showed responses between 3.6 6 105 V and 1.1 6104 V for a single MCF-7 cell. Such substantial change in
impedance for an electrode with a size analogous to the cell leads
to possibilities for high accuracy, label free and automated
counting of breast cancer MCF-7 cells, for improved cancer
prognosis, diagnosis and therapy monitoring. Based on observed
binary ‘‘on/off’’ type responses upon the presence and absence of
a single MCF-7 tumor cell on 25 mm surfaces, efforts are in
progress to fabricate and use a micro-electrode array of 25 mm
electrodes to sense and count MCF-7 cells over a wide
concentration range with single cell precision. The results of
present investigations have shown the promise for fabrication of
a lab on a chip device for simultaneous counting and testing
of CTCs with single cell precision. Specific electrodes can be
designed for specific cell types having electrode size analogous to
cell size to result in optimum response for their testing at a multi-
cell level in microarrays.
Acknowledgements
We acknowledge Tang Kum Cheong for providing the
fabricated electrode devices for electrochemical testing and
characterization.
References
1 J. S. Ross and E. A. Slodkowska, Am. J. Clin. Pathol., 2009, 132,237–245.
2 P. S. Steeg, Nat. Med., 2006, 12, 895–904.3 S. Krishnamurthy, M. Cristofanilli, B. Singh, J. Reuben, H. Gao,
E. N. Cohen, E. Andreopoulou, C. S. Hall, A. Lodhi, S. Jackson andA. Lucci, Cancer, 2010, 116, 3330–3337.
4 K. Pantel, R. H. Brakenhoff and B. Brandt, Nat. Rev. Cancer, 2008,8, 329–340.
5 S. Braun and C. Marth, N. Engl. J. Med., 2004, 351, 824–826.6 A. A. Adams, P. I. Okagbare, J. Feng, M. L. Hupert, D. Patterson, J.
Gottert, R. L. McCarley, D. Nikitopoulos, M. C. Murphy and S. A.Soper, J. Am. Chem. Soc., 2008, 130, 8633–8641.
7 M. Cristofanilli, G. T. Budd, M. J. Ellis, A. Stopeck, J. Matera, M. C.Miller, J. M. Reuben, G. V. Doyle, W. J. Allard, L. W. M. M.Terstappen and D. F. Hayes, N. Engl. J. Med., 2004, 351, 781–791.
8 G. Poste and I. J. Fidler, Nature, 1980, 283, 139–146.9 J. S. de Bono, H. I. Scher, R. B. Montgomery, C. Parker, M. C.
Miller, H. Tissing, G. V. Doyle, L. W. W. M. Terstappen, K. J.Pienta and D. Raghavan, Clin. Cancer Res., 2008, 14, 6302–6309.
10 K. Pantel and S. Riethdorf, Nat. Rev. Clin. Oncol., 2009, 6, 190–191.11 M. J. Slade and R. C. Coombes, Nat. Clin. Pract. Oncol., 2007, 4,
30–41.12 B. Mostert, S. Sleijfer, J. A. Foekens and J. W. Gratama, Cancer
Treat. Rev., 2009, 35, 463–474.13 A. Ring, I. E. Smith and M. Dowsett, Lancet Oncol., 2004, 5, 79–88.14 A. Amadori, E. Rossi, R. Zamarchi, P. Carli, D. Pastorelli and A.
Jirillo, Oncology, 2009, 76, 375–386.15 T. Li, Q. Fan, T. Liu, X. Zhu, J. Zhao and G. Li, Biosens.
Bioelectron., 2010, 25, 2686–2689.16 S. Riethdorf, H. Fritsche, V. Muller, T. Rau, C. Schindlbeck, B.
Rack, W. Janni, C. Coith, K. Beck, F. Janicke, S. Jackson, T.Gornet, M. Cristofanilli and K. Pantel, Clin. Cancer Res., 2007, 13,920–928.
17 S. Zheng, H. Lin, B. Lu, A. Williams, R. Datar, R. Cote and Y.-C.Tai, Biomed. Microdevices, 2011, 13, 203–213.
18 S. J. Tan, R. L. Lakshmi, P. Chen, W.-T. Lim, L. Yobas and C. T.Lim, Biosens. Bioelectron., 2010, 26, 1701–1705.
19 W. He, H. Wang, L. C. Hartmann, J.-X. Cheng and P. S. Low, Proc.Natl. Acad. Sci. U. S. A., 2007, 104, 11760–11765.
20 M. Alunni-Fabbroni and M. T. Sandri, Methods, 2010, 50, 289–297.
Fig. 7 (a) Change in impedance of the 100 mm electrode due to the capture of cells covering approximately 0, 25, 50 and 100% of the area, (b) change
in impedance of various electrodes due to the immobilization of single MCF-7 cells. Numbers in brackets are the absolute change in impedance before
and after cell capture. Error bars indicate the variation in change in resistance for different electrodes tested under similar conditions.
This journal is � The Royal Society of Chemistry 2012 Lab Chip, 2012, 12, 2362–2368 | 2367
21 M. Abdolahad, M. Taghinejad, H. Taghinejad, M. Janmaleki and S.Mohajerzadeh, Lab Chip, 2012, 12, 1183–1190.
22 A. L. Allan, S. A. Vantyghem, A. B. Tuck, A. F. Chambers, I. H.Chin-Yee and M. Keeney, Cytometry, Part A, 2005, 65A, 4–14.
23 G. Vona, A. Sabile, M. Louha, V. Sitruk, S. Romana, K. Schutze, F.Capron, D. Franco, M. Pazzagli, M. Vekemans, B. Lacour, C.Brechot and P. Paterlini-Brechot, Am. J. Pathol., 2000, 156, 57–63.
24 L. V. Sequist, S. Nagrath, M. Toner, D. A. Haber and T. J. Lynch,J. Thorac. Oncol., 2009, 4, 281–283.
25 S. L. Stott, C.-H. Hsu, D. I. Tsukrov, M. Yu, D. T. Miyamoto, B. A.Waltman, S. M. Rothenberg, A. M. Shah, M. E. Smas, G. K. Korir,F. P. Floyd, A. J. Gilman, J. B. Lord, D. Winokur, S. Springer, D.Irimia, S. Nagrath, L. V. Sequist, R. J. Lee, K. J. Isselbacher, S.Maheswaran, D. A. Haber and M. Toner, Proceedings of the NationalAcademy of Sciences, 2010.
26 D. Issadore, H. Shao, J. Chung, A. Newton, M. Pittet, R. Weisslederand H. Lee, Lab Chip, 2011, 11, 147–151.
27 M. Zborowski and J. J. Chalmers, Anal. Chem., 2011, 83, 8050–8056.28 J. S. Kuo, Y. Zhao, P. G. Schiro, L. Ng, D. S. W. Lim, J. P. Shelby
and D. T. Chiu, Lab Chip, 2010, 10, 837–842.29 M. Hosokawa, T. Hayata, Y. Fukuda, A. Arakaki, T. Yoshino, T.
Tanaka and T. Matsunaga, Anal. Chem., 2010, 82, 6629–6635.30 S. Tan, L. Yobas, G. Lee, C. Ong and C. Lim, Biomed. Microdevices,
2009, 11, 883–892.31 X. Zheng, L. S.-L. Cheung, J. A. Schroeder, L. Jiang and Y. Zohar,
Lab Chip, 2011, 11, 3269–3276.32 H.-S. Moon, K. Kwon, S.-I. Kim, H. Han, J. Sohn, S. Lee and H.-I.
Jung, Lab Chip, 2011, 11, 1118–1125.33 H. K. Lin, S. Zheng, A. J. Williams, M. Balic, S. Groshen, H. I.
Scher, M. Fleisher, W. Stadler, R. H. Datar, Y.-C. Tai and R. J.Cote, Clin. Cancer Res., 2010, 16, 5011–5018.
34 H. Mohamed, M. Murray, J. N. Turner and M. Caggana, J. Chromatogr.,A, 2009, 1216, 8289–8295.
35 D. Gossett, W. Weaver, A. Mach, S. Hur, H. Tse, W. Lee, H. Aminiand D. Di Carlo, Anal. Bioanal. Chem., 2010, 397, 3249–3267.
36 K. Pantel, C. Alix-Panabieres and S. Riethdorf, Nat. Rev. Clin.Oncol., 2009, 6, 339–351.
37 M. C. Miller, G. V. Doyle and L. W. M. M. Terstappen, J. Oncol.,2010, 2010, 617421.
38 R. de la Rica, S. Thompson, A. Baldi, C. Fernandez-Sanchez, C. M.Drain and H. Matsui, Anal. Chem., 2009, 81, 10167–10171.
39 M. Thein, F. Asphahani, A. Cheng, R. Buckmaster, M. Zhang and J.Xu, Biosens. Bioelectron., 2010, 25, 1963–1969.
40 S. Y. Ng, J. Reboud, K. Y. P. Wang, K. C. Tang, L. Zhang, P. Wong,K. T. Moe, W. Shim and Y. Chen, Biosens. Bioelectron., 2010, 25,1095–1101.
41 Y.-K. Chung, J. Reboud, K. C. Lee, H. M. Lim, P. Y. Lim, K. Y.Wang, K. C. Tang, H. Ji and Y. Chen, Biosens. Bioelectron., 2011, 26,2520–2526.
42 I. O. K’Owino and O. A. Sadik, Electroanalysis, 2005, 17, 2101–2113.43 A. R. A. Rahman, C. M. Lo and S. Bhansali, IEEE Trans. Biomed.
Eng., 2009, 56, 485–492.44 A. Rahman and A. Guiseppi-Elie, Biomed. Microdevices, 2009, 11,
701–710.45 T. J. Davies and R. G. Compton, J. Electroanal. Chem., 2005, 585,
63–82.46 O. Ordeig, C. E. Banks, T. J. Davies, J. del Campo, R. Mas, F. X.
Munoz and R. G. Compton, Analyst, 2006, 131, 440–445.47 X. Jiang and M. G. Spencer, Biosens. Bioelectron., 2010, 25,
1622–1628.48 F. Asphahani, K. Wang, M. Thein, O. Veiseh, S. Yung, J. Xu and M.
Zhang, Phys. Biol., 2011, 8, 015006.49 C. Spegel, A. Heiskanen, L. H. D. Skjolding and J. Emneus,
Electroanalysis, 2008, 20, 680–702.50 H. Park, D. Kim and K.-S. Yun, Sens. Actuators, B, 2010, 150,
167–173.51 A. Han and A. B. Frazier, Lab Chip, 2006, 6, 1412–1414.52 Y. Cho, H. S. Kim, A. B. Frazier, Z. G. Chen, D. M. Shin and A.
Han, J. Microelectromech. Syst., 2009, 18, 808–817.53 S. Dharia, H. E. Ayliffe and R. D. Rabbitt, Lab Chip, 2009, 9,
3370–3377.54 J. G. Guan, Y. Q. Miao and Q. J. Zhang, J. Biosci. Bioeng., 2004, 97,
219–226.
2368 | Lab Chip, 2012, 12, 2362–2368 This journal is � The Royal Society of Chemistry 2012