Artificial Nose-Presentation

Artificial Nose-Presentation - Artificial Nose Technology:...

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Artificial Nose Technology: The WI -Nose A Profitability and Market Analysis for the Development of Artificial Nose Technology to Monitor the Fermentation Process in Wine Shawna M. Linehan Sarosh N. Nizami
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What is an E-Nose? c An artificial smelling device that identifies the specific components of an odor and analyzes its chemical makeup to identify it
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What Is It Made Of? c Electronic Olfactory System: looks nothing like an actual nose but works similar to one c Two main components c Chemical Sensing System 1. Acts like receptors in our nasal passages 2. Odor-reactive sensor array Automated Pattern Recognition System 1. Acts like our brain 2. Artificial Neural Networks (ANN)
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How Does An E- Nose Work? c The sensor array generally consists of different polymer films, which are specially designed to conduct electricity. c When a substance is absorbed into these films, the films expand slightly, and that changes how much electricity they conduct. c Each electrode reacts to particular substances by changing its electrical resistance in a characteristic way.
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Baseline Resistance All of the polymer films on a set of electrodes (sensors) start out at a measured resistance, their baseline resistance . If there has been no change in the composition of the air, the films stay at the baseline resistance and the percent change is zero. e - e - e - e - e - e -
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The E-Nose Smells Something Each polymer changes its size, and therefore its resistance, by a different amount, making a pattern of the change e - e - e - e - e - e - If a different compound had caused the air to change, the pattern of the polymer films' change would have been different: e - e - e - e - e - e -
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“Smell-Prints” c Each chemical vapor presented to a sensor array produces a pattern characteristic of the vapor. c By presenting many different chemicals to the sensor array, a database of signatures is built up which is then used to train the pattern recognition system. c Combining the signals from all the electrodes gives a "smell-print" of the chemicals in the mixture that neural network software can learn to recognize.
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Artificial Neural Networks (ANN) c An information processing system c Collections of mathematical models c Learning typically occurs by example – through exposure to a set of input-output data
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Why use an ANN? c Well suited to pattern recognition and forecasting. c Like people, learn by example. c Can configure, through a learning process, for specific applications, such as identifying a chemical vapor. c Capability not affected by subjective factors such as working conditions and emotional state.
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Global Markets c Companies have taken the E-Nose technology and expanded to various markets: c Cyrano Sciences (Pasadena, California) c Neotronics (Essex, England) c Alpha MOS (Toulouse, France) c Bloodhound Sensors (Leeds, England) c Aroma Scan (Manchester, England) c Illumina (Cambridge, Massachusetts) c Smart Nose (Zurich, Switzerland)
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Applications: NASA c NASA started the E-Nose Project to detect leaked ammonia onboard space station.
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Artificial Nose-Presentation - Artificial Nose Technology:...

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