Biomedical Engineering Reference
In-Depth Information
8.1.2.4 Lung Cancer Detection
The exhaled breath of patients with lung cancer has different unique characteristics
that can be identified with an E-nose made with the use of polymer sensory array.
The results provide available options to the concept of using the E-nose for
administration and detecting lung cancer [ 23 ].
Uncontrolled cell growth starting in the lungs is defined as lung cancer. The
establishment of this excessive growth is called hyperplasia. Hyperplasias begin in
the bronchial tubes or alveoli. The bronchial tubes are in direct contact with air and
its impurities. Blatt et al. concluded remarkable detection results of lung cancer
diagnosis using MOS sensors [ 24 ].
In another research, Guo et al. conducted a study on diagnosis of diabetes, renal
disease, and airway inflammation using MOS sensor array, with the result that
breath analysis can be employed for early diagnosis of many diseases [ 25 ].
8.1.2.5 Diagnosis of TB
Arend et al. explored the prospect of two different E-noses (EN, code named
''Rob'' and ''Walter'') to differentiate between sputum headspace samples from
TB-patients and non-TB patients [ 26 ]. With the help of E-nose a sample test (if the
patient is on field) is done and the early diagnosis of tuberculosis followed by
appropriate treatment will reduce the trouble of tuberculosis.
8.1.2.6 Diagnostic Tools: Otolaryngology
Electronic nose technology and successful clinical application are particularly new
methods for the fast near-patient diagnosis of disease. There is real clinical need
for new diagnostic tools in otolaryngology. E-nose technology provides note-
worthy potential for rapid, noninvasive, point of care diagnosis of disease in
otolaryngology [ 27 ].
8.1.3 Agriculture
The applications of E-noses in the environment and agriculture fields are in
general meant to replace the slow and difficult laboratory analysis with fast and
easy in-field E-nose analysis. The frequent applications of E-noses in agriculture
are to monitor food quality and production processes, detect crop diseases, and
identify insect infestations.
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