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PIEZORESISTIVE MEMBRANE-TYPE SURFACE STRESS SENSOR
ARRANGED IN ARRAYS FOR CANCER DIAGNOSIS THROUGH
BREATH ANALYSIS
Frédéric Loizeau1, Hans Peter Lang
2, Terunobu Akiyama
1, Sebastian Gautsch
1, Peter
Vettiger1, Andreas Tonin
2, Genki Yoshikawa
3, Christoph Gerber
2 and Nico de Rooij
1
1Ecole Polytechnique Fédérale de Lausanne, Switzerland
2University of Basel, Switzerland
3National Institute for Materials Science, Japan
ABSTRACT
We present the fabrication, characterization and
successful medical application of a membrane-type
surface stress sensor (MSS), arranged in arrays for
molecular detection in gaseous phase. Made out of
SOI substrate, a round membrane with a diameter of
500 µm and a thickness of 2.5 µm is suspended by
four sensing beams with integrated p-type
piezoresistors, composing a full Wheatstone bridge.
The membrane is coated with a thin polymer layer,
which reacts with volatile molecules and produces a
deflection of the membrane. The membranes were
functionalized with various polymers and
characterized as humidity sensors with a sensitivity of
87 mV/%RH and a time constant (Tau63%) of 1.3 s.
Finally, through breath analysis and the use of
principal component analysis (PCA), we were able, in
a double blind trial, to distinguish cancer patients and
healthy persons.
INTRODUCTION
While cancer is still one of the most lethal
diseases in the world, it is mostly highly curable if
detected early. Cancer diagnosis is usually performed
by endoscopy and taking a biopsy of suspect lesions.
In order to reduce the complexity and the risks of
such operations, non-invasive diagnosis tools are
proposed using cantilever sensors [1]. The major
sensing principle is based on analyte-induced surface
stress, which makes a cantilever bend. Volatile
organic compounds (VOCs) related to certain
diseases [2], e.g. head and neck or lung cancer, can be
detected.
In the perspective of point-of-care systems or
sensor networks, the bulky experimental setups
placed in laboratories need to be reduced in size to fit
in portable and easy-to-handle devices. Therefore, we
focus on surface stress sensors with integrated
piezoresistors rather than larger optical readout. To
overcome the sensitivity issue of cantilevers with
piezoresistive readout, we recently developed a
membrane-type surface stress sensor (MSS) with a
sensitivity increased by a factor of 20 compared to
conventional piezoresistive cantilevers [3].
Figure 1 shows a schematic of a MSS. A typical
shape of a MSS is a round membrane with a thickness
of 2.5 µm and a diameter of 500 µm. The membrane
is supported with four sensing beams, onto which
transvers and longitudinal piezoresistors are
integrated. Depending on the target analyte, a specific
polymer is coated on the top side of the membrane. Its
swelling, upon absorption of volatile molecules, will
produce the membrane deflection, which is detected
by the piezoresistors. In this paper, we present the
fabrication and characterization of the latest
generation. We finally used arrays of membranes in a
clinical trial to compare breath samples of four cancer
patients to those from four healthy persons.
Figure 1: Graphical representation of MSS. A
round membrane is suspended by four constricted
beams with integrated piezoresistors connected in a
Wheatstone bridge. The membrane is coated with a
polymer that reacts to surrounding molecules.
METHODS AND RESULTS
The fabrication of MSS is based on SOI wafers
that are structured by deep reactive ion etching
(DRIE). Figure 2 shows the main steps in the
fabrication process of the membrane. The cross
section shows one of the four constricted beams with
a partial view of the suspended membrane.
MEMS 2013, Taipei, Taiwan, January 20 – 24, 2013978-1-4673-5655-8/13/$31.00 ©2013 IEEE 621
Figure 2: Process flow of the membrane-type sensor
fabrication. The cross section represents one of the
four constricted beams with an integrated
piezoresistor. The membrane is separated from the
beam for clarity (e to f).
We start with an SOI wafer with a device layer of
3.5 µm that is thinned down to 2.5 µm by thermal
oxidation and subsequent removal of the oxide (Fig.
2a). The p-type piezoresistors are then created with
two distinct doping processes: deep and highly
conductive zones are initially created with the
deposition of boron silicate glass (BSG) and diffusion
of the boron atoms into the silicon at 1000°C for 30
minutes. Shallow layers, which are very sensitive to
surface stress, are then created by ion implantation
(Fig. 2b and 2c). The boron ions are implanted with a
dose of 2.5E+14/cm2 followed by a rapid thermal
annealing (RTA) at 1000°C for 10 s. After a
deposition of an 80 nm thick layer of Si3N4 as a
passivation layer (Fig. 2d), aluminium wires are
structured and encapsulated with a thick oxide layer
of 1 µm. The membrane and its sensing beams are
then structured into the device layer with deep
reactive ion etching (DRIE) (Fig. 2e). A 5 µm thick
layer of Parylene is deposited on the front side to
protect the membrane prior to its final backside
release by DRIE (Fig. 2f and 2g). The Parylene serves
both as a mechanical stiffening of the membrane
during the DRIE and as a protection layer during the
BHF wet etching of the buried oxide. It is removed
afterwards by oxygen plasma. Figure 3 shows SEM
pictures of the released membranes before their
functionalization.
Figure 3: SEM pictures of (a) a silicon chip
containing two arrays of membrane-type sensors and
(b) a close view on one membrane suspended by four
constricted beams.
As preliminary characterization, MSS was tested
as a humidity sensor since polymers react strongly
with water molecules. Two sensors within an array
were functionalized by inkjet spotting with cellulose
acetate butyrate (CAB). 500 droplets (10 nl each) of a
1 mg/ml solution were spotted onto each membrane,
resulting in a thickness of 700 nm after evaporation of
the solvent. The dynamic response of two
functionalized MSS to four relative humidity pulses
of 62% is displayed in Fig. 4. We measured a
response time of 1.3 s during the purging. The output
signal of a non-coated membrane is also shown on the
plot as a reference. We also characterized the static
response of an MSS within the humidity range of our
setup, i.e. 0% and 80% of humidity (Fig. 5). The
response is linear with a sensitivity of 87 mV/%RH.
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Figure 4: Dynamic responses of three membranes to
four humidity pulses of 62% relative humidity. One of
the membranes was used as a reference without
coating, while the others were coated with a CAB
layer. The others showed a response time of 1.3 s. The
gain of the amplification stage is 500.
Figure 5: Static response of the membrane #1 to
humidity values from 0% to 80%. The measured
sensitivity is 87 mV/%RH.
Finally, an array of 2x8 MSS was functionalized
with 16 different polymers. The various absorption
properties of these polymers make them react
differently to the same analyte, creating a unique
signature (Fig. 6). Principal component analysis
(PCA) is used to differentiate complex mixtures of
gases and molecules.
Breath samples of both healthy people and
patients suffering from a head and neck cancer were
analyzed in a double blind trial. The breath samples
were transported and stored in Tedlar bags at a
temperature of 4 °C for 5 hours before analysis. Each
sample was pumped into a gas chamber containing
the functionalized MSS array. The sensors’ responses
were recorded six times and transformed by PCA to
reveal the differences between samples (Fig. 7). The
results show a good discrimination between the breath
samples of healthy persons and the ones of patients
suffering from a head and neck cancer.
Figure 6: Dynamic responses of six functionalized
MSS to ethanol pulses and nitrogen purges. The
functionalization polymers are PSS, Dextran, CMC
and PVP.
Figure 7: Principal Component Analysis case
scores for breath samples of 4 healthy persons and
4 cancer patients. Each sample has been measured
6 times (colored dots). A breath sample bag
containing saturated water vapor has been
measured as a control (blue dots). Healthy persons
can be clearly distinguished from cancer patients
(the ellipses are a guide to the eye.)
CONCLUSION
A new type of surface stress sensor consisting of
a suspended membrane and its fabrication process
have been presented in this paper. By clamping the
membrane in the four directions, the whole stress is
efficiently transduced on the constricted beams,
where the piezoresistors are located. Its sensitivity is
therefore increased compared to a standard
piezoresistive cantilever with a free-end. With the use
of different functionalization polymers, we created an
artificial nose that is sensitive enough to diagnose a
head and neck cancer through the analysis of the
breath.
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ACKNOWLEDGEMENTS
We gratefully thank the Microsystems
Technology Division of CSEM for their help and
technical support during the microfabrication as well
as Dr. Laure Aeschimann for the fruitful technical
discussions. We also would like to acknowledge Dr.
Giorgio Mattana for his help during the inkjet
deposition of CAB. We express our appreciation to
Dr. Heinrich Rohrer for his initial investigations and
discussions on piezoresistive surface stress sensing,
which led to the invention and development of the
MSS concept and technology. We thank Jean-Paul
Rivals, Agnès Hiou and Pedro Romero from LICR at
CHUV for providing the breath samples. This project
is supported by Nano-Tera, an initiative of the Swiss
National Foundation (SNF).
REFERENCES
[1] M. Baller et al., A cantilever array-based
artificial nose, Ultramicroscopy 82, 9 (2000).
[2] D. Schmid et al., Diagnosing disease by
nanomechanical olfactory sensors – system
design and clinical validation, European Journal
of Nanomedicine 1, 44–47 (2008).
[3] G. Yoshikawa et al., Nanomechanical membrane-
type surface stress sensor, Nano Letters 11,
1044–8 (2011).
CONTACT
Frédéric Loizeau, +41-32-720-5469,
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