SlideShare a Scribd company logo
1 of 3
Download to read offline
JENISH S SHAH / International Journal of Engineering Research and Applications
(IJERA) ISSN: 2248-9622 www.ijera.com
Vol. 3, Issue 3, May-Jun 2013, pp.961-963
961 | P a g e
An Electronic tongue for core taste identification based on
conductometry
JENISH S SHAH
Dept. of Computer Engineering, Shankersinh Vaghela Bapu Institute of Technology, Gandhinagar, Gujarat,
India
Abstract
This paper presents a method for
identification of basic tastes, i.e. sweet, sour,
bitter and salty with the help of electronic
tongue. The electronic tongue works on the basis
of conductometric technique and having two
electrodes. This technique determines the
concentration of ions in solutions in terms of
current flow as a function of voltage when
polarization of ions occurs around the electrode.
This measured current is a function of different
chemical composition and hence can be used for
the identification of different taste, as different
taste having different chemical composition. The
main objective of the present work is to test
samples from four different tastes with the help
of electronic tongue and analyzing the output
current obtained from different solution in time
domain.
Keywords — Electronic Tongue, Basic Test,
Conductometry, Electrode.
I. INTRODUCTION
Electronic tongue is also called as
artificial tongue, taste sensor. Electronic taste
instruments have been developed and optimized to
answer some of these issues: reduces human
sensory test panels, precise measurement of taste,
requires small sample volume, decreased
measurement time, small size of sensor,
reproducibility, easily operated by unskilled
personnel. An electronic tongue is a sensor that
works on the liquid samples. The responses of the
sensor are not specific. The collective response of
the tongue sensor varies from solution to solution
due to the presence of different compounds and
ions. Electronic tongue sensor, in general, makes
use of this collective response, and various
electrochemical methods have been exploited for
such analysis. Potentiometry, Voltammetry, and
conductometry are some of the measurement
techniques that have been used successfully in
electronic tongues for different applications, such
as classification of wine, assessment of fat content
of milk, quality evaluation of several beverages
like tea, beer, and juice, water quality [1], and other
food stuffs like tomatoes [2]. This can also be used
in pharmaceuticals to identify the taste of medicine
[3].
The electro analytical technique called the
conductometry, which is one of the oldest and in
many ways simplest among the other electro
analytical techniques. This technique is based on
the measurement of electrolytic conductance. An
application of electrical potential across the
solution of an electrolyte involves the transfer of
mass and charge from one part of the solution to
the other. A transport property of great
significance, which can be easily measured, is the
conductance. Since an electrolytic solution consists
of ions and the nature of interaction existing in the
medium could be better understood in terms of the
conducting power of these ions, it is more
convenient to speak of conductance rather than
resistance. The conducting ability of electrolytic
solutions provides a direct prove of the existence of
ions in solutions. The experimental determinations
of the conducting properties of electrolytic
solutions are very important.
The main objective of the present work is
to test samples from four different tastes with the
help of electronic tongue and analyzing the output
current obtained from different solution in time
domain. It can also be used for water quality and
food quality assessment. The procedure when
running measurements with the electronic tongue
set up seen from the user’s viewpoint is often
straightforward. Take a sample of the requested
liquid, put it in contact with the electronic tongue
sensor and receive the response. Behind this
simplified process are both the operational
principles of the electronic tongue and the data
acquisition.
II. ELECTRONIC TONGUE SET UP
The sensor consists of two copper
electrodes. A potential is applied at one electrode
and the resulting current through the sample is
measured. When a voltage is applied, an
electrochemical redox reaction occurs at the
electrodes surface and gives rise to the measured
current. All particles in the measured sample that
are redox reactive below the applied voltage will
contribute to the response. The method used is
pulse conductometry which indicates that the input
waveform is formed by pulses of some amplitude.
By using pulses of different amplitude the
sensitivity can be increased and the discrimination
JENISH S SHAH / International Journal of Engineering Research and Applications
(IJERA) ISSN: 2248-9622 www.ijera.com
Vol. 3, Issue 3, May-Jun 2013, pp.961-963
962 | P a g e
between samples will be improved. Depending on
the sample’s chemical content, the amount of
particles contributing to the current will differ. The
functional block diagram of the present system is
as follows:
Fig 1 Functional block diagram of the electronic
tongue
The 555 timer connected as astable
multivibrator can be used to produce a square wave
output. The electronic tongue system consists of
two electrodes as sensor. Here, two copper plates
are used to make an electrochemical cell. This set
up is put in contact with the requested liquid. A
potentiostate measures the potential difference
between the two electrodes. The basic potentiostate
consists of two parts, I/E Converter and DC Level
Offset [4]. The data acquisition system establishes
the communication between the sensor and data
processing system. The configuration of the Data
Acquisition System was implemented MATLAB
environment. The sensor system used for the
experiments is a so called electronic tongue. Note,
that it is not identical to the functionality of the
human tongue [5].
III.SAMPLES DETAIL AND
PREPARATION
Four different tasted samples such as
Bitter, Salt, Sour and Sweet have been taken for
this study. Kitchen salt (NaCl) is used as salty
sample. Similarly, lemon juice is used as sour,
Sugar is used for sweet taste and bitter juice from
some food stuffs is used for bitter taste. For
preparing the salty sample, 5gm of salt is dissolved
in 20 ml distilled water. Sweet sample is made by
dissolving 5 gm of sugar in 20 ml distilled water.
Same way sour and bitter samples are prepared by
mixing lemon juice and juice of bitter food stuff.
Here the input is taken as voltage and output is as
current. By giving the same input for each sample,
the responses from the sensor are observed.
IV. RESULTS AND DISCUSSION
Experimental data collected from the
setup is plotted as the response of the electronic
tongue for the different sample as mentioned
above. Response of the system for all different
samples is quite same. But their amplitudes are
different. It is observed that the time domain
response of the above mentioned different sample
is different, i.e. the maximum and minimum peak
values of the different responses are different
(Table 1). So with the response of the electronic
tongue setup for different sample may possible to
distinguish them from each other.
Table 1: Maximum and minimum peak values of
different samples
From table-1, it is observed that the
response for the salty sample has the highest peak
value, and sweet sample has the lowest.
Fig 2 Correlation of responses of different taste
samples
V. CONCLUSION
In this paper, an electronic tongue system
based on conductometry for taste evaluation has
been presented the best results has been obtained
by taking the value of each response by set-up for
different samples. This can be concluded that
different samples have different current carrying
capacities. This is because of current carrying ions
present in the solution to be tested. The salty
sample is found with a highest current and sweet
sample with lowest current through the liquid
during the experiments. Hence, this electronic
Sr.
No.
Taste Exp.
No.
Current
Maximum
value
Minimum
value
1 Salty 1 2.9693 -0.7084
2 2.8729 -0.7890
2 Sweet 1 0.0846 -5.9314e-04
2 0.0926 -7.2208e-04
3 Sour 1 2.3405 -0.1398
2 2.4169 -0.1460
4 Bitter 1 1.2822 -7.3915e-04
2 1.2164 -7.3851e-04
Square
Wave
Generator
Electronic
Tongue Set
Up
Potentio-
state
Data
Acquisitio
n SystemPC
JENISH S SHAH / International Journal of Engineering Research and Applications
(IJERA) ISSN: 2248-9622 www.ijera.com
Vol. 3, Issue 3, May-Jun 2013, pp.961-963
963 | P a g e
tongue approach is helpful in test identification of
core tastes.
ACKNOLEDGEMENT
I would like to express my sincere thanks
to Prof. Pooja Shah, Head of Computer
Engineering Department, Shankersinh Vaghela
Bapu Institute of Technology, Gandhinagar for this
guidance, encouragement and support during my
work. Despite her busy schedule, she was always
available to give me advice, support and guidance
during the entire period. I would like to express my
sincere thanks to all my friends and all faculty
members of Computer Department for their help
and suggestions during my work.
REFERENCES
[1] Boyko Iliev, Malin Lindquist, Linn
Robertsson, PeterWide, A fuzzy technique
for food- and water quality assessment
with an electronic tongue, Fuzzy Sets and
Systems 157 (2006) 1155 – 1168.
[2] Saorabh Kr. Mondal, Uday Maji, Bipan
Tudu and Chiranjib Koley, Basic Taste
Identification Using Voltammetric
Type Electronic Tongue Technique,
International Journal of Soft Computing
and Engineering (IJSCE),ISSN: 2231-
2307, Volume-1, Issue-NCRAMT2011,
July 2011.
[3] Hitesh Jain, Rushi Panchal, Prasanna
Pradhan, Hardik Patel, T. Y. Pasha,
Electronic tongue: a new taste sensor,
International Journal of Pharmaceutical
Sciences Review and Research¸ Volume
5, Issue 2, November – December 2010;
Article-017.
[4] Martin Nissfolk, Development of an
Electronic Nose-Tongue Data Acquisition
System using a Microcontroller, UPTEC
IT09 002.
[5] Linn Robertsson and Peter Wide,
Improving food quality analysis using a
wavelet method for feature extraction,
IMTC 2005 - Instrumentation and
Measurement Technology Conference,
Ottawa, Ontario, Canada, May 17–19,
2005.

More Related Content

Viewers also liked (13)

Fv3310401049
Fv3310401049Fv3310401049
Fv3310401049
 
Aw32322326
Aw32322326Aw32322326
Aw32322326
 
An32272275
An32272275An32272275
An32272275
 
Ao32276282
Ao32276282Ao32276282
Ao32276282
 
Ds32738741
Ds32738741Ds32738741
Ds32738741
 
Dw32759763
Dw32759763Dw32759763
Dw32759763
 
D32035052
D32035052D32035052
D32035052
 
Dv32754758
Dv32754758Dv32754758
Dv32754758
 
Dq32729732
Dq32729732Dq32729732
Dq32729732
 
Du32747753
Du32747753Du32747753
Du32747753
 
De32662675
De32662675De32662675
De32662675
 
Cx32617623
Cx32617623Cx32617623
Cx32617623
 
Hf3312641270
Hf3312641270Hf3312641270
Hf3312641270
 

Similar to Fj33961963

Development of electronic tongue for sorghum quality detection
Development of electronic tongue for sorghum quality detectionDevelopment of electronic tongue for sorghum quality detection
Development of electronic tongue for sorghum quality detectioneSAT Journals
 
Development of a Carbon Paste Sensor for Floral Classification of Honey Sampl...
Development of a Carbon Paste Sensor for Floral Classification of Honey Sampl...Development of a Carbon Paste Sensor for Floral Classification of Honey Sampl...
Development of a Carbon Paste Sensor for Floral Classification of Honey Sampl...IRJET Journal
 
Computer Aided Sensory Evaluation of Food And Beverages
Computer Aided Sensory Evaluation of Food And BeveragesComputer Aided Sensory Evaluation of Food And Beverages
Computer Aided Sensory Evaluation of Food And BeveragesJagriti Bhasin
 
Electrode Material Migration During Pulsed Electric Field (PEF) Treatment
Electrode Material Migration During Pulsed Electric Field (PEF) TreatmentElectrode Material Migration During Pulsed Electric Field (PEF) Treatment
Electrode Material Migration During Pulsed Electric Field (PEF) TreatmentTOP Technology Talks (TOP b.v.)
 
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
 
Electronic nose in Food Analysis
Electronic nose in Food AnalysisElectronic nose in Food Analysis
Electronic nose in Food AnalysisPrathameshPawale
 
Experiment 4 Electropolymerized Conducting Polymers. In.docx
Experiment 4 Electropolymerized Conducting Polymers.         In.docxExperiment 4 Electropolymerized Conducting Polymers.         In.docx
Experiment 4 Electropolymerized Conducting Polymers. In.docxgitagrimston
 
05 up dated kiran cahyo
05 up dated kiran cahyo05 up dated kiran cahyo
05 up dated kiran cahyoIAESIJEECS
 
Low-Cost Sensor Network for Contamination Detection in Drinking Water
Low-Cost Sensor Network for Contamination Detection in Drinking WaterLow-Cost Sensor Network for Contamination Detection in Drinking Water
Low-Cost Sensor Network for Contamination Detection in Drinking WaterIJERA Editor
 
[Group 5] electrochemistry, electrophoresis, isoelectric focusing
[Group 5] electrochemistry, electrophoresis, isoelectric focusing[Group 5] electrochemistry, electrophoresis, isoelectric focusing
[Group 5] electrochemistry, electrophoresis, isoelectric focusingRena Faith Baradero
 
Biosensors: Their types
Biosensors: Their typesBiosensors: Their types
Biosensors: Their typesVinitha Mohan
 

Similar to Fj33961963 (20)

1684 1688
1684 16881684 1688
1684 1688
 
1684 1688
1684 16881684 1688
1684 1688
 
Development of electronic tongue for sorghum quality detection
Development of electronic tongue for sorghum quality detectionDevelopment of electronic tongue for sorghum quality detection
Development of electronic tongue for sorghum quality detection
 
Development of a Carbon Paste Sensor for Floral Classification of Honey Sampl...
Development of a Carbon Paste Sensor for Floral Classification of Honey Sampl...Development of a Carbon Paste Sensor for Floral Classification of Honey Sampl...
Development of a Carbon Paste Sensor for Floral Classification of Honey Sampl...
 
Computer Aided Sensory Evaluation of Food And Beverages
Computer Aided Sensory Evaluation of Food And BeveragesComputer Aided Sensory Evaluation of Food And Beverages
Computer Aided Sensory Evaluation of Food And Beverages
 
Electrode Material Migration During Pulsed Electric Field (PEF) Treatment
Electrode Material Migration During Pulsed Electric Field (PEF) TreatmentElectrode Material Migration During Pulsed Electric Field (PEF) Treatment
Electrode Material Migration During Pulsed Electric Field (PEF) Treatment
 
Electronic nose
Electronic noseElectronic nose
Electronic nose
 
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
 
E nose
E noseE nose
E nose
 
Electronic nose in Food Analysis
Electronic nose in Food AnalysisElectronic nose in Food Analysis
Electronic nose in Food Analysis
 
Experiment 4 Electropolymerized Conducting Polymers. In.docx
Experiment 4 Electropolymerized Conducting Polymers.         In.docxExperiment 4 Electropolymerized Conducting Polymers.         In.docx
Experiment 4 Electropolymerized Conducting Polymers. In.docx
 
Electronic nose
Electronic noseElectronic nose
Electronic nose
 
05 up dated kiran cahyo
05 up dated kiran cahyo05 up dated kiran cahyo
05 up dated kiran cahyo
 
electronic nose
electronic noseelectronic nose
electronic nose
 
Electronic nose
Electronic nose Electronic nose
Electronic nose
 
Efficient taste sensors made of bare metal electrodes
Efficient taste sensors made of bare metal electrodesEfficient taste sensors made of bare metal electrodes
Efficient taste sensors made of bare metal electrodes
 
RESEARCH ANALYSIS AND EVALUATION
RESEARCH ANALYSIS AND EVALUATIONRESEARCH ANALYSIS AND EVALUATION
RESEARCH ANALYSIS AND EVALUATION
 
Low-Cost Sensor Network for Contamination Detection in Drinking Water
Low-Cost Sensor Network for Contamination Detection in Drinking WaterLow-Cost Sensor Network for Contamination Detection in Drinking Water
Low-Cost Sensor Network for Contamination Detection in Drinking Water
 
[Group 5] electrochemistry, electrophoresis, isoelectric focusing
[Group 5] electrochemistry, electrophoresis, isoelectric focusing[Group 5] electrochemistry, electrophoresis, isoelectric focusing
[Group 5] electrochemistry, electrophoresis, isoelectric focusing
 
Biosensors: Their types
Biosensors: Their typesBiosensors: Their types
Biosensors: Their types
 

Recently uploaded

CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):comworks
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationSlibray Presentation
 
Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Allon Mureinik
 
New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024BookNet Canada
 
Key Features Of Token Development (1).pptx
Key  Features Of Token  Development (1).pptxKey  Features Of Token  Development (1).pptx
Key Features Of Token Development (1).pptxLBM Solutions
 
Unlocking the Potential of the Cloud for IBM Power Systems
Unlocking the Potential of the Cloud for IBM Power SystemsUnlocking the Potential of the Cloud for IBM Power Systems
Unlocking the Potential of the Cloud for IBM Power SystemsPrecisely
 
SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024Scott Keck-Warren
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesSinan KOZAK
 
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphSIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphNeo4j
 
Pigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions
 
Artificial intelligence in the post-deep learning era
Artificial intelligence in the post-deep learning eraArtificial intelligence in the post-deep learning era
Artificial intelligence in the post-deep learning eraDeakin University
 
Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...Alan Dix
 
Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024BookNet Canada
 
APIForce Zurich 5 April Automation LPDG
APIForce Zurich 5 April  Automation LPDGAPIForce Zurich 5 April  Automation LPDG
APIForce Zurich 5 April Automation LPDGMarianaLemus7
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupFlorian Wilhelm
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountPuma Security, LLC
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 3652toLead Limited
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Scott Keck-Warren
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...shyamraj55
 

Recently uploaded (20)

CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck Presentation
 
Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)
 
New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
 
Key Features Of Token Development (1).pptx
Key  Features Of Token  Development (1).pptxKey  Features Of Token  Development (1).pptx
Key Features Of Token Development (1).pptx
 
Unlocking the Potential of the Cloud for IBM Power Systems
Unlocking the Potential of the Cloud for IBM Power SystemsUnlocking the Potential of the Cloud for IBM Power Systems
Unlocking the Potential of the Cloud for IBM Power Systems
 
SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen Frames
 
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphSIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
 
Pigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food Manufacturing
 
Artificial intelligence in the post-deep learning era
Artificial intelligence in the post-deep learning eraArtificial intelligence in the post-deep learning era
Artificial intelligence in the post-deep learning era
 
Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...
 
Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
 
APIForce Zurich 5 April Automation LPDG
APIForce Zurich 5 April  Automation LPDGAPIForce Zurich 5 April  Automation LPDG
APIForce Zurich 5 April Automation LPDG
 
The transition to renewables in India.pdf
The transition to renewables in India.pdfThe transition to renewables in India.pdf
The transition to renewables in India.pdf
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project Setup
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path Mount
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
 

Fj33961963

  • 1. JENISH S SHAH / International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com Vol. 3, Issue 3, May-Jun 2013, pp.961-963 961 | P a g e An Electronic tongue for core taste identification based on conductometry JENISH S SHAH Dept. of Computer Engineering, Shankersinh Vaghela Bapu Institute of Technology, Gandhinagar, Gujarat, India Abstract This paper presents a method for identification of basic tastes, i.e. sweet, sour, bitter and salty with the help of electronic tongue. The electronic tongue works on the basis of conductometric technique and having two electrodes. This technique determines the concentration of ions in solutions in terms of current flow as a function of voltage when polarization of ions occurs around the electrode. This measured current is a function of different chemical composition and hence can be used for the identification of different taste, as different taste having different chemical composition. The main objective of the present work is to test samples from four different tastes with the help of electronic tongue and analyzing the output current obtained from different solution in time domain. Keywords — Electronic Tongue, Basic Test, Conductometry, Electrode. I. INTRODUCTION Electronic tongue is also called as artificial tongue, taste sensor. Electronic taste instruments have been developed and optimized to answer some of these issues: reduces human sensory test panels, precise measurement of taste, requires small sample volume, decreased measurement time, small size of sensor, reproducibility, easily operated by unskilled personnel. An electronic tongue is a sensor that works on the liquid samples. The responses of the sensor are not specific. The collective response of the tongue sensor varies from solution to solution due to the presence of different compounds and ions. Electronic tongue sensor, in general, makes use of this collective response, and various electrochemical methods have been exploited for such analysis. Potentiometry, Voltammetry, and conductometry are some of the measurement techniques that have been used successfully in electronic tongues for different applications, such as classification of wine, assessment of fat content of milk, quality evaluation of several beverages like tea, beer, and juice, water quality [1], and other food stuffs like tomatoes [2]. This can also be used in pharmaceuticals to identify the taste of medicine [3]. The electro analytical technique called the conductometry, which is one of the oldest and in many ways simplest among the other electro analytical techniques. This technique is based on the measurement of electrolytic conductance. An application of electrical potential across the solution of an electrolyte involves the transfer of mass and charge from one part of the solution to the other. A transport property of great significance, which can be easily measured, is the conductance. Since an electrolytic solution consists of ions and the nature of interaction existing in the medium could be better understood in terms of the conducting power of these ions, it is more convenient to speak of conductance rather than resistance. The conducting ability of electrolytic solutions provides a direct prove of the existence of ions in solutions. The experimental determinations of the conducting properties of electrolytic solutions are very important. The main objective of the present work is to test samples from four different tastes with the help of electronic tongue and analyzing the output current obtained from different solution in time domain. It can also be used for water quality and food quality assessment. The procedure when running measurements with the electronic tongue set up seen from the user’s viewpoint is often straightforward. Take a sample of the requested liquid, put it in contact with the electronic tongue sensor and receive the response. Behind this simplified process are both the operational principles of the electronic tongue and the data acquisition. II. ELECTRONIC TONGUE SET UP The sensor consists of two copper electrodes. A potential is applied at one electrode and the resulting current through the sample is measured. When a voltage is applied, an electrochemical redox reaction occurs at the electrodes surface and gives rise to the measured current. All particles in the measured sample that are redox reactive below the applied voltage will contribute to the response. The method used is pulse conductometry which indicates that the input waveform is formed by pulses of some amplitude. By using pulses of different amplitude the sensitivity can be increased and the discrimination
  • 2. JENISH S SHAH / International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com Vol. 3, Issue 3, May-Jun 2013, pp.961-963 962 | P a g e between samples will be improved. Depending on the sample’s chemical content, the amount of particles contributing to the current will differ. The functional block diagram of the present system is as follows: Fig 1 Functional block diagram of the electronic tongue The 555 timer connected as astable multivibrator can be used to produce a square wave output. The electronic tongue system consists of two electrodes as sensor. Here, two copper plates are used to make an electrochemical cell. This set up is put in contact with the requested liquid. A potentiostate measures the potential difference between the two electrodes. The basic potentiostate consists of two parts, I/E Converter and DC Level Offset [4]. The data acquisition system establishes the communication between the sensor and data processing system. The configuration of the Data Acquisition System was implemented MATLAB environment. The sensor system used for the experiments is a so called electronic tongue. Note, that it is not identical to the functionality of the human tongue [5]. III.SAMPLES DETAIL AND PREPARATION Four different tasted samples such as Bitter, Salt, Sour and Sweet have been taken for this study. Kitchen salt (NaCl) is used as salty sample. Similarly, lemon juice is used as sour, Sugar is used for sweet taste and bitter juice from some food stuffs is used for bitter taste. For preparing the salty sample, 5gm of salt is dissolved in 20 ml distilled water. Sweet sample is made by dissolving 5 gm of sugar in 20 ml distilled water. Same way sour and bitter samples are prepared by mixing lemon juice and juice of bitter food stuff. Here the input is taken as voltage and output is as current. By giving the same input for each sample, the responses from the sensor are observed. IV. RESULTS AND DISCUSSION Experimental data collected from the setup is plotted as the response of the electronic tongue for the different sample as mentioned above. Response of the system for all different samples is quite same. But their amplitudes are different. It is observed that the time domain response of the above mentioned different sample is different, i.e. the maximum and minimum peak values of the different responses are different (Table 1). So with the response of the electronic tongue setup for different sample may possible to distinguish them from each other. Table 1: Maximum and minimum peak values of different samples From table-1, it is observed that the response for the salty sample has the highest peak value, and sweet sample has the lowest. Fig 2 Correlation of responses of different taste samples V. CONCLUSION In this paper, an electronic tongue system based on conductometry for taste evaluation has been presented the best results has been obtained by taking the value of each response by set-up for different samples. This can be concluded that different samples have different current carrying capacities. This is because of current carrying ions present in the solution to be tested. The salty sample is found with a highest current and sweet sample with lowest current through the liquid during the experiments. Hence, this electronic Sr. No. Taste Exp. No. Current Maximum value Minimum value 1 Salty 1 2.9693 -0.7084 2 2.8729 -0.7890 2 Sweet 1 0.0846 -5.9314e-04 2 0.0926 -7.2208e-04 3 Sour 1 2.3405 -0.1398 2 2.4169 -0.1460 4 Bitter 1 1.2822 -7.3915e-04 2 1.2164 -7.3851e-04 Square Wave Generator Electronic Tongue Set Up Potentio- state Data Acquisitio n SystemPC
  • 3. JENISH S SHAH / International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com Vol. 3, Issue 3, May-Jun 2013, pp.961-963 963 | P a g e tongue approach is helpful in test identification of core tastes. ACKNOLEDGEMENT I would like to express my sincere thanks to Prof. Pooja Shah, Head of Computer Engineering Department, Shankersinh Vaghela Bapu Institute of Technology, Gandhinagar for this guidance, encouragement and support during my work. Despite her busy schedule, she was always available to give me advice, support and guidance during the entire period. I would like to express my sincere thanks to all my friends and all faculty members of Computer Department for their help and suggestions during my work. REFERENCES [1] Boyko Iliev, Malin Lindquist, Linn Robertsson, PeterWide, A fuzzy technique for food- and water quality assessment with an electronic tongue, Fuzzy Sets and Systems 157 (2006) 1155 – 1168. [2] Saorabh Kr. Mondal, Uday Maji, Bipan Tudu and Chiranjib Koley, Basic Taste Identification Using Voltammetric Type Electronic Tongue Technique, International Journal of Soft Computing and Engineering (IJSCE),ISSN: 2231- 2307, Volume-1, Issue-NCRAMT2011, July 2011. [3] Hitesh Jain, Rushi Panchal, Prasanna Pradhan, Hardik Patel, T. Y. Pasha, Electronic tongue: a new taste sensor, International Journal of Pharmaceutical Sciences Review and Research¸ Volume 5, Issue 2, November – December 2010; Article-017. [4] Martin Nissfolk, Development of an Electronic Nose-Tongue Data Acquisition System using a Microcontroller, UPTEC IT09 002. [5] Linn Robertsson and Peter Wide, Improving food quality analysis using a wavelet method for feature extraction, IMTC 2005 - Instrumentation and Measurement Technology Conference, Ottawa, Ontario, Canada, May 17–19, 2005.