The electronic noses are considered an easy-to-apply, practical and non-invasive
analysis technique designed to determine, recognize and identify very low levels of volatile
biochemicals, called Volatile Organic Compounds (VOCs).
Its principle is based on the configuration of electrobiochemical sensors that
create a unique fingerprint of a patient's breath sample, making possible the quality control,
characterization, classification and differentiation of VOCs, which can be identified by functional
groups through multivariate statistical analysis techniques, which guarantee their usefulness in
different applications of clinical diagnosis.
A scent emanating from a patient's breath is a combination of hundreds of
biochemical substances with unique characteristics. An electronic nose consists of an analytical
instrument that tries to emulate the process of identification of aromas by means of the
construction of electronic systems of smell, since they offer a fast, safe and reliable alternative
with technical and economic advantages compared to other procedures such as gas chromatography. or
An electronic smell system is formed by three main elements:
* A measurement system composed of an aroma extraction technique or air flow system that
transports the VOCs of the samples to an array of biochemical sensors that transform the information
received into electrical signals
*A system for extracting the characteristic features of the sample analyzed by quantifying
and transforming data from the signals of the different sensors.
*A pattern recognition system to identify and classify the aroma of the measured samples. The
purpose of combining an array of sensors is to provide a global signal called "fingerprint" as the
simple response of a characteristic aroma of the sample.
The sensors integrated into the electronic nose must meet the following criteria:
*High sensitivity for the detection of VOCs.
*Low sensitivity to humidity and temperature.
*High reproducibility and stability with short reaction time and easy calibration.
Each sensor will give a conductivity value, obtaining at the end a data matrix of "m" columns by "n"
rows, where the columns will be the number of sensors that have the nose and "n" the number of
samples. The results are therefore analyzed with multivariate statistical analysis techniques.
Once the signals from the electronic nose sensors have been obtained, it is
necessary to implement data processing techniques to interpret them according to the application to
be evaluated. The proper use of pattern recognition techniques ensures that the signals from the
sensors can be analyzed to build reliable models for either prediction, detection, identification or
FUTURE OF TECHNOLOGY BreathLab
The BreathLab limit is subject to the limit of our imagination. Thanks to this
technology we will be able to detect in the future: