SlideShare ist ein Scribd-Unternehmen logo
1 von 28
Artificial nose
A case-study by
Shirish Bharati BT11MEC073
Shivam Rathod BT11MEC074
Siddhant Goyal BT11MEC075
Sushant Somkuwar BT11MEC076
Measurement and Signal
processing
Contents
• History of artificial nose
• Introduction of artificial nose
• Types of artificial nose
• Components of artificial nose
• Experimental setup
• Sensor
• Types of sensors
• Applications
• Advantages
• Future scope
• Conclusion
History of artificial nose
• The concept of artificial nose first appeared in a paper by Persuade
and Dodd (1982).
• The artificial nose was developed on 19th august 2008.
Artificial nose
• E-NOSE is a device that identifies the specific components of an odor
& analyses its chemical makeup to identify it.
Components of artificial nose
• Sample Delivery system – It is essential to guarantee constant operating
conditions.
• Detection systems - It consists of a sensor set and is the "reactive" part of the
instrument. When in contact with volatile compounds, the sensors react.
Commonly used sensors are metal oxide semiconductor (MOSFET), conducting
polymers, quartz crystal micro balance, surface acoustic wave (SAW), etc.
• Computing system - The computing system works to combine the responses of all
of the sensors, which represents the input for the data treatment.
EXPERIMENTAL SETUP
Switching
Box
Mass Flow
Controller
Network
Analyzer
VOC in
bubbler
Nitrogen
VOC
PC
Sensor
Cell
EXPERIMENTAL SETUP
Network Analyzer
SENSOR
TYPES OF SENSORS
A sensor is a device which can respond to some properties of the
environment and transform the response into an electric signal
Exhibit a property of change when exposed to
volatile compounds.
CONDUCTIVITY SENSORS
PIEZO ELECTRIC SENSORS
A piezoelectric sensor is a device that uses the piezoelectric
effect to measure pressure, acceleration, strain or force by
converting them to an electrical signal, they are configured as
mass-change sensing device.
A) QCM SENSOR:
The QCM sensor consists of a resonating disk a few millimeters in
diameter, with metal electrodes on each side connected to dead wise.
The device resonate at a characteristic frequency (10MHz to
30MHz) when excited with an oscillating signal.
B) SAW Sensor:
• In SAW sensor a Surface
wave travels over the
surface of the device; not
throughout its volume.
• SAW sensors operate at
much higher frequencies,
and so can generate a larger
change in frequency.
MOSFET SENSORS
MOSFET odour sensing device are based on the principle that VOCs in
contact with a catalytic metal can produce a reaction in the metal and
the reaction’s products can diffuse through the gate of the MOSFET to
change the electrical properties of the device.
OPTICAL SENSOR
HUMAN OLFACTORY SYSTEM
ARTIFICIAL OLFACTORY SYSTEM
Sensor
Array QCM
Odour
Extraction
Pattern
Recognition
Odour
Information
Computer
ANALOGY BETWEEN E-NOSE & BIOLOGICAL NOSE
E-NOSE INSTRUMENTATION
APPLICATIONS OF E-NOSE
Applications
• In quality control laboratories for at line quality control such as
• Conformity of raw materials, intermediate and final products
• Batch to batch consistency
• Detection of contamination, spoilage, adulteration
• Origin or vendor selection
• Monitoring of storage conditions
• In process and production departments
• Managing raw material variability
• Comparison with a reference product
• Measurement and comparison of the effects of manufacturing process on products
• Following-up cleaning in place process efficiency
• Scale-up monitoring
• Cleaning in place monitoring.
ADVANTAGES
• Helpful in identification of Quality classification of stored grain.
• Helpful in identification of Water and wastewater analysis.
• Helpful in identification of source and quality of coffee.
• Helpful in detection and diagnosis of pulmonary infections.
• Helpful in diagnosis of ulcers by breath tests.
• Helpful in identification of freshness of fish.
• Helpful in identification of process control of cheese, beer and bread.
DISADVANTAGE
• Cost of artificial nose
• Time delay of artificial nose.
Next generation products
• Miniaturized
• Badge/gasmask
• Wireless
• Distributed network
sensors
Future scope
• Improved sensitivity for use with water quality.
• Improvement in the sensitivity of artificial nose for lower level of organism
• Improvement in the sensitivity of artificial nose for identification of infection.
• Development of sensor suitable for artificial nose use.
• For identification of volatile organic compounds in air, water and soil samples.
• It may also be used as a bomb detection method in airports. Through careful
placement of several or more electronic noses and effective computer systems
you could triangulate the location of bombs to within a few metres of their
location in less than a few seconds.
• Nasal implants could warn of the presence of natural gas, for those who
had anosmia or a weak sense of smell.
• The Brain Mapping Foundation used the electronic nose to detect brain cancer
cells.
Conclusion
Humans are not well suited for repetitive or boring tasks that are better
left to machines. No wonder the artificial nose is sometimes referred to
as a sniffer. The artificial nose has the interesting ability to address
analytical problems that have been refractory to traditional analytical
approaches.
In my view the artificial nose is a very useful instrument now a days.
THANK YOU

Weitere ähnliche Inhalte

Was ist angesagt?

Electronic nose
Electronic noseElectronic nose
Electronic noseNaveen Sihag
 
ELECTRONIC NOSE
ELECTRONIC NOSEELECTRONIC NOSE
ELECTRONIC NOSEMurali Viru
 
Electronic nose
Electronic noseElectronic nose
Electronic noseankitha1992
 
Electronic Nose
Electronic NoseElectronic Nose
Electronic NoseRehan Fazal
 
Electronic nose in Food Analysis
Electronic nose in Food AnalysisElectronic nose in Food Analysis
Electronic nose in Food AnalysisPrathameshPawale
 
Current and Future Research of E Nose(Electronic Nose)
Current and Future Research of E Nose(Electronic Nose)Current and Future Research of E Nose(Electronic Nose)
Current and Future Research of E Nose(Electronic Nose)Nadiya Mahjabin
 
Nisha e nose
Nisha e noseNisha e nose
Nisha e noseNISHA R
 
Electronic Nose(e-Nose)
Electronic Nose(e-Nose)Electronic Nose(e-Nose)
Electronic Nose(e-Nose)Prayna Sharma
 
Seminar on Electronic-NOSE (E-NOSE) By- MAYANK SAHU
Seminar on Electronic-NOSE (E-NOSE) By- MAYANK SAHUSeminar on Electronic-NOSE (E-NOSE) By- MAYANK SAHU
Seminar on Electronic-NOSE (E-NOSE) By- MAYANK SAHUmayank843
 
Artificial Neural networks for e-NOSE
Artificial Neural networks for e-NOSEArtificial Neural networks for e-NOSE
Artificial Neural networks for e-NOSEMercy Martina
 
Electronic nose
Electronic noseElectronic nose
Electronic noseMayank Garg
 
YSI-EXO-Brochure
YSI-EXO-BrochureYSI-EXO-Brochure
YSI-EXO-BrochureRobert Ellison
 
Nanobots
NanobotsNanobots
Nanobotsaphrobis
 
11 - Modern Water Monitoring overview_Sept 15
11 - Modern Water Monitoring overview_Sept 1511 - Modern Water Monitoring overview_Sept 15
11 - Modern Water Monitoring overview_Sept 15indiawrm
 

Was ist angesagt? (20)

Electronic nose
Electronic noseElectronic nose
Electronic nose
 
ELECTRONIC NOSE
ELECTRONIC NOSEELECTRONIC NOSE
ELECTRONIC NOSE
 
Electronic nose
Electronic noseElectronic nose
Electronic nose
 
ENOSE
ENOSEENOSE
ENOSE
 
Electronic nose
Electronic noseElectronic nose
Electronic nose
 
Electronic Nose
Electronic NoseElectronic Nose
Electronic Nose
 
electronic nose
electronic noseelectronic nose
electronic nose
 
Electronic nose in Food Analysis
Electronic nose in Food AnalysisElectronic nose in Food Analysis
Electronic nose in Food Analysis
 
Current and Future Research of E Nose(Electronic Nose)
Current and Future Research of E Nose(Electronic Nose)Current and Future Research of E Nose(Electronic Nose)
Current and Future Research of E Nose(Electronic Nose)
 
E nose
E noseE nose
E nose
 
Nisha e nose
Nisha e noseNisha e nose
Nisha e nose
 
Electronic Nose(e-Nose)
Electronic Nose(e-Nose)Electronic Nose(e-Nose)
Electronic Nose(e-Nose)
 
Seminar on Electronic-NOSE (E-NOSE) By- MAYANK SAHU
Seminar on Electronic-NOSE (E-NOSE) By- MAYANK SAHUSeminar on Electronic-NOSE (E-NOSE) By- MAYANK SAHU
Seminar on Electronic-NOSE (E-NOSE) By- MAYANK SAHU
 
Artificial Neural networks for e-NOSE
Artificial Neural networks for e-NOSEArtificial Neural networks for e-NOSE
Artificial Neural networks for e-NOSE
 
Electronic nose
Electronic noseElectronic nose
Electronic nose
 
E nose
E noseE nose
E nose
 
YSI-EXO-Brochure
YSI-EXO-BrochureYSI-EXO-Brochure
YSI-EXO-Brochure
 
Nanobots
NanobotsNanobots
Nanobots
 
Submersible h2s sulphide probe
Submersible h2s sulphide probeSubmersible h2s sulphide probe
Submersible h2s sulphide probe
 
11 - Modern Water Monitoring overview_Sept 15
11 - Modern Water Monitoring overview_Sept 1511 - Modern Water Monitoring overview_Sept 15
11 - Modern Water Monitoring overview_Sept 15
 

Andere mochten auch

Biodefense; anew option against terrorism atack
Biodefense; anew option against terrorism atackBiodefense; anew option against terrorism atack
Biodefense; anew option against terrorism atacksemaes1_1
 
Ă“rganos Artificiales 2016 Ensayo (CLASE DHTICS BUAP)
Ă“rganos Artificiales 2016 Ensayo (CLASE DHTICS BUAP)Ă“rganos Artificiales 2016 Ensayo (CLASE DHTICS BUAP)
Ă“rganos Artificiales 2016 Ensayo (CLASE DHTICS BUAP)Ziggy Merino
 
Applications of Bio systems Engineering (Artificial Organs)
Applications of Bio systems Engineering (Artificial Organs)Applications of Bio systems Engineering (Artificial Organs)
Applications of Bio systems Engineering (Artificial Organs)Dineesha Nipunajith
 
Image classification and land cover mapping
Image classification and land cover mappingImage classification and land cover mapping
Image classification and land cover mappingKabir Uddin
 
Image registration and data fusion techniques.pptx latest save
Image registration and data fusion techniques.pptx latest saveImage registration and data fusion techniques.pptx latest save
Image registration and data fusion techniques.pptx latest saveM'dee Phechudi
 

Andere mochten auch (6)

Biodefense; anew option against terrorism atack
Biodefense; anew option against terrorism atackBiodefense; anew option against terrorism atack
Biodefense; anew option against terrorism atack
 
Ă“rganos Artificiales 2016 Ensayo (CLASE DHTICS BUAP)
Ă“rganos Artificiales 2016 Ensayo (CLASE DHTICS BUAP)Ă“rganos Artificiales 2016 Ensayo (CLASE DHTICS BUAP)
Ă“rganos Artificiales 2016 Ensayo (CLASE DHTICS BUAP)
 
Organos artificiales
Organos artificialesOrganos artificiales
Organos artificiales
 
Applications of Bio systems Engineering (Artificial Organs)
Applications of Bio systems Engineering (Artificial Organs)Applications of Bio systems Engineering (Artificial Organs)
Applications of Bio systems Engineering (Artificial Organs)
 
Image classification and land cover mapping
Image classification and land cover mappingImage classification and land cover mapping
Image classification and land cover mapping
 
Image registration and data fusion techniques.pptx latest save
Image registration and data fusion techniques.pptx latest saveImage registration and data fusion techniques.pptx latest save
Image registration and data fusion techniques.pptx latest save
 

Ă„hnlich wie Artificial nose

Electronic nose
Electronic nose Electronic nose
Electronic nose Pankaj Beniwal
 
Nano sensors with their applications
Nano sensors with their applicationsNano sensors with their applications
Nano sensors with their applicationsPrathamesh Kolekar
 
Biosensor
BiosensorBiosensor
BiosensorSudama04
 
Nanosensors basics, design and applications
Nanosensors basics, design and applicationsNanosensors basics, design and applications
Nanosensors basics, design and applicationsUniversity of Technology
 
e-nose-150423103436-conversion-gate02[441].pdf
e-nose-150423103436-conversion-gate02[441].pdfe-nose-150423103436-conversion-gate02[441].pdf
e-nose-150423103436-conversion-gate02[441].pdfyalmeetisai
 
International Journal of Engineering Research and Development
International Journal of Engineering Research and DevelopmentInternational Journal of Engineering Research and Development
International Journal of Engineering Research and DevelopmentIJERD Editor
 
Nanosensor-basics, application and future.pptx
Nanosensor-basics, application and future.pptxNanosensor-basics, application and future.pptx
Nanosensor-basics, application and future.pptxdebeshidutta2
 
Development of-an-electronic-nose-for-fire-detection 2006-sensors-and-actuato...
Development of-an-electronic-nose-for-fire-detection 2006-sensors-and-actuato...Development of-an-electronic-nose-for-fire-detection 2006-sensors-and-actuato...
Development of-an-electronic-nose-for-fire-detection 2006-sensors-and-actuato...Allan Melvin Andrew
 
Nanosensors basics design and applications.pptx
Nanosensors basics design and applications.pptxNanosensors basics design and applications.pptx
Nanosensors basics design and applications.pptxssuser65cc68
 
Sensors.pptx
Sensors.pptxSensors.pptx
Sensors.pptxVedaT7
 
optical_fiber_sensor_system
optical_fiber_sensor_systemoptical_fiber_sensor_system
optical_fiber_sensor_systemRemco Nieuwland
 
Nanosensing
NanosensingNanosensing
NanosensingMelih Erdem
 
Application-Note-Moisture-in-Gases.pdf
Application-Note-Moisture-in-Gases.pdfApplication-Note-Moisture-in-Gases.pdf
Application-Note-Moisture-in-Gases.pdfGopalakrishnaU
 
Sequip Ppt 2011
Sequip Ppt 2011Sequip Ppt 2011
Sequip Ppt 2011Sequip
 
Decoding Turbulent Chemical Plumes With Improved Signal Processing and Machin...
Decoding Turbulent Chemical Plumes With Improved Signal Processing and Machin...Decoding Turbulent Chemical Plumes With Improved Signal Processing and Machin...
Decoding Turbulent Chemical Plumes With Improved Signal Processing and Machin...InsideScientific
 

Ă„hnlich wie Artificial nose (20)

111
111111
111
 
Electronic nose
Electronic nose Electronic nose
Electronic nose
 
lec03.pdf
lec03.pdflec03.pdf
lec03.pdf
 
Nano sensors with their applications
Nano sensors with their applicationsNano sensors with their applications
Nano sensors with their applications
 
Biosensor
BiosensorBiosensor
Biosensor
 
Sensors for detection
Sensors for detectionSensors for detection
Sensors for detection
 
Nanosensors basics, design and applications
Nanosensors basics, design and applicationsNanosensors basics, design and applications
Nanosensors basics, design and applications
 
e-nose-150423103436-conversion-gate02[441].pdf
e-nose-150423103436-conversion-gate02[441].pdfe-nose-150423103436-conversion-gate02[441].pdf
e-nose-150423103436-conversion-gate02[441].pdf
 
International Journal of Engineering Research and Development
International Journal of Engineering Research and DevelopmentInternational Journal of Engineering Research and Development
International Journal of Engineering Research and Development
 
Nanosensor-basics, application and future.pptx
Nanosensor-basics, application and future.pptxNanosensor-basics, application and future.pptx
Nanosensor-basics, application and future.pptx
 
Development of-an-electronic-nose-for-fire-detection 2006-sensors-and-actuato...
Development of-an-electronic-nose-for-fire-detection 2006-sensors-and-actuato...Development of-an-electronic-nose-for-fire-detection 2006-sensors-and-actuato...
Development of-an-electronic-nose-for-fire-detection 2006-sensors-and-actuato...
 
Nanosensors basics design and applications.pptx
Nanosensors basics design and applications.pptxNanosensors basics design and applications.pptx
Nanosensors basics design and applications.pptx
 
Sensors.pptx
Sensors.pptxSensors.pptx
Sensors.pptx
 
ppt
pptppt
ppt
 
optical_fiber_sensor_system
optical_fiber_sensor_systemoptical_fiber_sensor_system
optical_fiber_sensor_system
 
FINAL PPT OF NANOSENSOR
FINAL PPT OF NANOSENSORFINAL PPT OF NANOSENSOR
FINAL PPT OF NANOSENSOR
 
Nanosensing
NanosensingNanosensing
Nanosensing
 
Application-Note-Moisture-in-Gases.pdf
Application-Note-Moisture-in-Gases.pdfApplication-Note-Moisture-in-Gases.pdf
Application-Note-Moisture-in-Gases.pdf
 
Sequip Ppt 2011
Sequip Ppt 2011Sequip Ppt 2011
Sequip Ppt 2011
 
Decoding Turbulent Chemical Plumes With Improved Signal Processing and Machin...
Decoding Turbulent Chemical Plumes With Improved Signal Processing and Machin...Decoding Turbulent Chemical Plumes With Improved Signal Processing and Machin...
Decoding Turbulent Chemical Plumes With Improved Signal Processing and Machin...
 

KĂĽrzlich hochgeladen

Class 1 | NFPA 72 | Overview Fire Alarm System
Class 1 | NFPA 72 | Overview Fire Alarm SystemClass 1 | NFPA 72 | Overview Fire Alarm System
Class 1 | NFPA 72 | Overview Fire Alarm Systemirfanmechengr
 
Internet of things -Arshdeep Bahga .pptx
Internet of things -Arshdeep Bahga .pptxInternet of things -Arshdeep Bahga .pptx
Internet of things -Arshdeep Bahga .pptxVelmuruganTECE
 
IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024Mark Billinghurst
 
Comparative study of High-rise Building Using ETABS,SAP200 and SAFE., SAFE an...
Comparative study of High-rise Building Using ETABS,SAP200 and SAFE., SAFE an...Comparative study of High-rise Building Using ETABS,SAP200 and SAFE., SAFE an...
Comparative study of High-rise Building Using ETABS,SAP200 and SAFE., SAFE an...Erbil Polytechnic University
 
Virtual memory management in Operating System
Virtual memory management in Operating SystemVirtual memory management in Operating System
Virtual memory management in Operating SystemRashmi Bhat
 
home automation using Arduino by Aditya Prasad
home automation using Arduino by Aditya Prasadhome automation using Arduino by Aditya Prasad
home automation using Arduino by Aditya Prasadaditya806802
 
Earthing details of Electrical Substation
Earthing details of Electrical SubstationEarthing details of Electrical Substation
Earthing details of Electrical Substationstephanwindworld
 
System Simulation and Modelling with types and Event Scheduling
System Simulation and Modelling with types and Event SchedulingSystem Simulation and Modelling with types and Event Scheduling
System Simulation and Modelling with types and Event SchedulingBootNeck1
 
Software and Systems Engineering Standards: Verification and Validation of Sy...
Software and Systems Engineering Standards: Verification and Validation of Sy...Software and Systems Engineering Standards: Verification and Validation of Sy...
Software and Systems Engineering Standards: Verification and Validation of Sy...VICTOR MAESTRE RAMIREZ
 
Past, Present and Future of Generative AI
Past, Present and Future of Generative AIPast, Present and Future of Generative AI
Past, Present and Future of Generative AIabhishek36461
 
Risk Management in Engineering Construction Project
Risk Management in Engineering Construction ProjectRisk Management in Engineering Construction Project
Risk Management in Engineering Construction ProjectErbil Polytechnic University
 
multiple access in wireless communication
multiple access in wireless communicationmultiple access in wireless communication
multiple access in wireless communicationpanditadesh123
 
US Department of Education FAFSA Week of Action
US Department of Education FAFSA Week of ActionUS Department of Education FAFSA Week of Action
US Department of Education FAFSA Week of ActionMebane Rash
 
Correctly Loading Incremental Data at Scale
Correctly Loading Incremental Data at ScaleCorrectly Loading Incremental Data at Scale
Correctly Loading Incremental Data at ScaleAlluxio, Inc.
 
Sachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
Sachpazis Costas: Geotechnical Engineering: A student's Perspective IntroductionSachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
Sachpazis Costas: Geotechnical Engineering: A student's Perspective IntroductionDr.Costas Sachpazis
 
Engineering Drawing section of solid
Engineering Drawing     section of solidEngineering Drawing     section of solid
Engineering Drawing section of solidnamansinghjarodiya
 
Configuration of IoT devices - Systems managament
Configuration of IoT devices - Systems managamentConfiguration of IoT devices - Systems managament
Configuration of IoT devices - Systems managamentBharaniDharan195623
 
THE SENDAI FRAMEWORK FOR DISASTER RISK REDUCTION
THE SENDAI FRAMEWORK FOR DISASTER RISK REDUCTIONTHE SENDAI FRAMEWORK FOR DISASTER RISK REDUCTION
THE SENDAI FRAMEWORK FOR DISASTER RISK REDUCTIONjhunlian
 

KĂĽrzlich hochgeladen (20)

Class 1 | NFPA 72 | Overview Fire Alarm System
Class 1 | NFPA 72 | Overview Fire Alarm SystemClass 1 | NFPA 72 | Overview Fire Alarm System
Class 1 | NFPA 72 | Overview Fire Alarm System
 
Internet of things -Arshdeep Bahga .pptx
Internet of things -Arshdeep Bahga .pptxInternet of things -Arshdeep Bahga .pptx
Internet of things -Arshdeep Bahga .pptx
 
IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024
 
Comparative study of High-rise Building Using ETABS,SAP200 and SAFE., SAFE an...
Comparative study of High-rise Building Using ETABS,SAP200 and SAFE., SAFE an...Comparative study of High-rise Building Using ETABS,SAP200 and SAFE., SAFE an...
Comparative study of High-rise Building Using ETABS,SAP200 and SAFE., SAFE an...
 
Design and analysis of solar grass cutter.pdf
Design and analysis of solar grass cutter.pdfDesign and analysis of solar grass cutter.pdf
Design and analysis of solar grass cutter.pdf
 
Virtual memory management in Operating System
Virtual memory management in Operating SystemVirtual memory management in Operating System
Virtual memory management in Operating System
 
home automation using Arduino by Aditya Prasad
home automation using Arduino by Aditya Prasadhome automation using Arduino by Aditya Prasad
home automation using Arduino by Aditya Prasad
 
Earthing details of Electrical Substation
Earthing details of Electrical SubstationEarthing details of Electrical Substation
Earthing details of Electrical Substation
 
System Simulation and Modelling with types and Event Scheduling
System Simulation and Modelling with types and Event SchedulingSystem Simulation and Modelling with types and Event Scheduling
System Simulation and Modelling with types and Event Scheduling
 
Software and Systems Engineering Standards: Verification and Validation of Sy...
Software and Systems Engineering Standards: Verification and Validation of Sy...Software and Systems Engineering Standards: Verification and Validation of Sy...
Software and Systems Engineering Standards: Verification and Validation of Sy...
 
Past, Present and Future of Generative AI
Past, Present and Future of Generative AIPast, Present and Future of Generative AI
Past, Present and Future of Generative AI
 
young call girls in Green Park🔝 9953056974 🔝 escort Service
young call girls in Green Park🔝 9953056974 🔝 escort Serviceyoung call girls in Green Park🔝 9953056974 🔝 escort Service
young call girls in Green Park🔝 9953056974 🔝 escort Service
 
Risk Management in Engineering Construction Project
Risk Management in Engineering Construction ProjectRisk Management in Engineering Construction Project
Risk Management in Engineering Construction Project
 
multiple access in wireless communication
multiple access in wireless communicationmultiple access in wireless communication
multiple access in wireless communication
 
US Department of Education FAFSA Week of Action
US Department of Education FAFSA Week of ActionUS Department of Education FAFSA Week of Action
US Department of Education FAFSA Week of Action
 
Correctly Loading Incremental Data at Scale
Correctly Loading Incremental Data at ScaleCorrectly Loading Incremental Data at Scale
Correctly Loading Incremental Data at Scale
 
Sachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
Sachpazis Costas: Geotechnical Engineering: A student's Perspective IntroductionSachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
Sachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
 
Engineering Drawing section of solid
Engineering Drawing     section of solidEngineering Drawing     section of solid
Engineering Drawing section of solid
 
Configuration of IoT devices - Systems managament
Configuration of IoT devices - Systems managamentConfiguration of IoT devices - Systems managament
Configuration of IoT devices - Systems managament
 
THE SENDAI FRAMEWORK FOR DISASTER RISK REDUCTION
THE SENDAI FRAMEWORK FOR DISASTER RISK REDUCTIONTHE SENDAI FRAMEWORK FOR DISASTER RISK REDUCTION
THE SENDAI FRAMEWORK FOR DISASTER RISK REDUCTION
 

Artificial nose

  • 1. Artificial nose A case-study by Shirish Bharati BT11MEC073 Shivam Rathod BT11MEC074 Siddhant Goyal BT11MEC075 Sushant Somkuwar BT11MEC076 Measurement and Signal processing
  • 2. Contents • History of artificial nose • Introduction of artificial nose • Types of artificial nose • Components of artificial nose • Experimental setup • Sensor • Types of sensors • Applications • Advantages • Future scope • Conclusion
  • 3. History of artificial nose • The concept of artificial nose first appeared in a paper by Persuade and Dodd (1982). • The artificial nose was developed on 19th august 2008.
  • 4. Artificial nose • E-NOSE is a device that identifies the specific components of an odor & analyses its chemical makeup to identify it.
  • 5. Components of artificial nose • Sample Delivery system – It is essential to guarantee constant operating conditions. • Detection systems - It consists of a sensor set and is the "reactive" part of the instrument. When in contact with volatile compounds, the sensors react. Commonly used sensors are metal oxide semiconductor (MOSFET), conducting polymers, quartz crystal micro balance, surface acoustic wave (SAW), etc. • Computing system - The computing system works to combine the responses of all of the sensors, which represents the input for the data treatment.
  • 6.
  • 10. TYPES OF SENSORS A sensor is a device which can respond to some properties of the environment and transform the response into an electric signal
  • 11. Exhibit a property of change when exposed to volatile compounds. CONDUCTIVITY SENSORS
  • 12. PIEZO ELECTRIC SENSORS A piezoelectric sensor is a device that uses the piezoelectric effect to measure pressure, acceleration, strain or force by converting them to an electrical signal, they are configured as mass-change sensing device.
  • 13. A) QCM SENSOR: The QCM sensor consists of a resonating disk a few millimeters in diameter, with metal electrodes on each side connected to dead wise. The device resonate at a characteristic frequency (10MHz to 30MHz) when excited with an oscillating signal.
  • 14. B) SAW Sensor: • In SAW sensor a Surface wave travels over the surface of the device; not throughout its volume. • SAW sensors operate at much higher frequencies, and so can generate a larger change in frequency.
  • 15. MOSFET SENSORS MOSFET odour sensing device are based on the principle that VOCs in contact with a catalytic metal can produce a reaction in the metal and the reaction’s products can diffuse through the gate of the MOSFET to change the electrical properties of the device.
  • 18. ARTIFICIAL OLFACTORY SYSTEM Sensor Array QCM Odour Extraction Pattern Recognition Odour Information Computer
  • 19. ANALOGY BETWEEN E-NOSE & BIOLOGICAL NOSE
  • 22. Applications • In quality control laboratories for at line quality control such as • Conformity of raw materials, intermediate and final products • Batch to batch consistency • Detection of contamination, spoilage, adulteration • Origin or vendor selection • Monitoring of storage conditions • In process and production departments • Managing raw material variability • Comparison with a reference product • Measurement and comparison of the effects of manufacturing process on products • Following-up cleaning in place process efficiency • Scale-up monitoring • Cleaning in place monitoring.
  • 23. ADVANTAGES • Helpful in identification of Quality classification of stored grain. • Helpful in identification of Water and wastewater analysis. • Helpful in identification of source and quality of coffee. • Helpful in detection and diagnosis of pulmonary infections. • Helpful in diagnosis of ulcers by breath tests. • Helpful in identification of freshness of fish. • Helpful in identification of process control of cheese, beer and bread.
  • 24. DISADVANTAGE • Cost of artificial nose • Time delay of artificial nose.
  • 25. Next generation products • Miniaturized • Badge/gasmask • Wireless • Distributed network sensors
  • 26. Future scope • Improved sensitivity for use with water quality. • Improvement in the sensitivity of artificial nose for lower level of organism • Improvement in the sensitivity of artificial nose for identification of infection. • Development of sensor suitable for artificial nose use. • For identification of volatile organic compounds in air, water and soil samples. • It may also be used as a bomb detection method in airports. Through careful placement of several or more electronic noses and effective computer systems you could triangulate the location of bombs to within a few metres of their location in less than a few seconds. • Nasal implants could warn of the presence of natural gas, for those who had anosmia or a weak sense of smell. • The Brain Mapping Foundation used the electronic nose to detect brain cancer cells.
  • 27. Conclusion Humans are not well suited for repetitive or boring tasks that are better left to machines. No wonder the artificial nose is sometimes referred to as a sniffer. The artificial nose has the interesting ability to address analytical problems that have been refractory to traditional analytical approaches. In my view the artificial nose is a very useful instrument now a days.