25-08-2017, 09:32 PM
Development of Electronic Nose for Diagnosis of Lung Cancer at Early Stage
Development of Electronic Nose.pdf (Size: 1.24 MB / Downloads: 31)
Abstract
In this paper, we proposed a novel non-invasive
electronic nose for detection and diagnosis of lung
cancer based on an electronic nose instrument
which includes a gas extraction and capillary
column to concentrate, desorb and separate volatile
organic compounds (VOCs) in patients’ breath,
respectively. Surface Acoustic Wave (SAW) gas
sensors was used to detect chemical compounds.
The specific VOCs exhaled by lung cancer cells in the
microenvironment are proven the source biomarkers of
lung cancer. The clinical experimental results show
that this kind of novel electronic nose is effective
for recognition of lung cancer patents and healthy
persons and will be also possible non-invasive
method to diagnose of lung cancer at early stage.
Introduction
Lung cancer is among the most deadly disease
in the world. Reports said that in the USA there
were almost 99,000 male patients and 78,000
female patients. Research also showed that there
were only 14% survived after five years therapy.
But if we can discover the cancer and treat it
promptly, the survival rate would increase to 48%.
So we try to develop an early detection method for
lung cancer.
Pathology analysis
A. Pathology study of VOCs in breath [7]
We collect samples of lung cancer patients in
Run Run Shaw hospital. Until now there are total
32 volunteers, including 10 healthy persons, 15
lung cancer patients and 7 chronic bronchitis
patients. All patients and healthy persons ate
nothing 2 hours before he or she breathes in bags.
The whole hospital is under constant temperature
and humidity. There are no flowers and plants in
the room, so the VOCs in breath bags would be
considered as original. The 15 patients are all
affected by various lung cancers, 5 of them are
waiting for surgical treatment, 6 of the rest received
chemical therapy. All of them are above 50 years
old except one who is 47.
Conclusions
In this paper, we proposed a novel electronic
nose of detection for lung cancer based on a virtual
SAW sensors array combined with imaging
recognition method. One SAW sensor is coated
with a PIB polymer and the other coated nothing for
reference. By using a developed interface of GC,
the 11 VOCs in lung cancer patients’ breath
separated through a capillary column can be
absorbed on the polymer, and detected by SAW
sensors. The novel electronic nose has some
advantages including high sensitivity, low cost and
easy to operate. By this e-nose we study the breath
from lung cancer patients, chronic bronchitis
patients and healthy persons for pathology analysis.
After that we select 4 lung cancer patients and 4
healthy persons for BP-ANN validation and get a
content result.