2016
|
Li, J; Gutierrez-Osuna, R; Hodges, R D; Luckey, G; Crowell, J; Schiffman, S S; Nagle, H T Using Field Asymmetric Ion Mobility Spectrometry for Odor Assessment of Automobile Interior Components Journal Article In: IEEE Sensors Journal, vol. in press, 2016. @article{li2016sj,
title = {Using Field Asymmetric Ion Mobility Spectrometry for Odor Assessment of Automobile Interior Components},
author = {J Li and R Gutierrez-Osuna and R D Hodges and G Luckey and J Crowell and S S Schiffman and H T Nagle},
url = {https://psi.engr.tamu.edu/wp-content/uploads/2018/01/li2016sj-1.pdf},
year = {2016},
date = {2016-05-01},
journal = {IEEE Sensors Journal},
volume = {in press},
keywords = {Chemical sensors, Electronic nose, Machine olfaction},
pubstate = {published},
tppubtype = {article}
}
|
2014
|
Li, J; Hodges, R D; Gutierrez-Osuna, R; Luckey, G; Crowell, J; Schiffman, S S; Nagle, H T Odor Assessment of Automobile Cabin Air by Machine Olfaction Proceedings Article In: Proc. IEEE Sensors Conference, 2014. @inproceedings{li2004sensorsconf,
title = {Odor Assessment of Automobile Cabin Air by Machine Olfaction},
author = {J Li and R D Hodges and R Gutierrez-Osuna and G Luckey and J Crowell and S S Schiffman and H T Nagle},
url = {https://psi.engr.tamu.edu/wp-content/uploads/2018/01/li2004sensorsconf.pdf},
year = {2014},
date = {2014-11-02},
booktitle = {Proc. IEEE Sensors Conference},
keywords = {Chemical sensors, Electronic nose, Olfaction},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2010
|
Gutierrez-Osuna, R Electronic Nose Book Chapter In: SAGE Encyclopedia of Perception, Sage Publications, 2010. @inbook{gutierrez2010chapter,
title = {Electronic Nose},
author = {R Gutierrez-Osuna},
url = {https://psi.engr.tamu.edu/wp-content/uploads/2018/01/gutierrez2010chapter.pdf},
year = {2010},
date = {2010-01-01},
booktitle = {SAGE Encyclopedia of Perception},
publisher = {Sage Publications},
abstract = {Across a wide range of applications there is a need to rapidly detect, identify, and quantify complex volatile mixtures. Food manufacturers need to monitor the quality of incoming raw products and evaluate the perceptual properties of their products; environmental agencies seek to regulate the emission of malodors from waste treatment and other industrial plants. Humans readily accomplish these tasks through the sense of smell. Could an instrument be developed to mimic these capabilities? This entry
describes the technology of electronic noses, discusses the challenges associated with mimicking human olfaction, and reviews past and current application areas of electronic noses. },
keywords = {Electronic nose},
pubstate = {published},
tppubtype = {inbook}
}
Across a wide range of applications there is a need to rapidly detect, identify, and quantify complex volatile mixtures. Food manufacturers need to monitor the quality of incoming raw products and evaluate the perceptual properties of their products; environmental agencies seek to regulate the emission of malodors from waste treatment and other industrial plants. Humans readily accomplish these tasks through the sense of smell. Could an instrument be developed to mimic these capabilities? This entry
describes the technology of electronic noses, discusses the challenges associated with mimicking human olfaction, and reviews past and current application areas of electronic noses. |
2004
|
Rodriguez-Mendez, M L; Arrieta, A; Parra, V; Bernal, A; Vegas, A; Villanueva, S; Gutierrez-Osuna, R; de Saja, J A Fusion of three sensory modalities for the multimodal characterization of red wines Journal Article In: Sensors Journal, IEEE, vol. 4, no. 3, pp. 348–354, 2004. @article{rodrÃguez2004fusion,
title = {Fusion of three sensory modalities for the multimodal characterization of red wines},
author = {M L Rodriguez-Mendez and A Arrieta and V Parra and A Bernal and A Vegas and S Villanueva and R Gutierrez-Osuna and J A de Saja},
url = {https://psi.engr.tamu.edu/wp-content/uploads/2018/01/rodrÃguez2004fusion.pdf},
year = {2004},
date = {2004-01-01},
journal = {Sensors Journal, IEEE},
volume = {4},
number = {3},
pages = {348--354},
publisher = {IEEE},
abstract = {This work represents the first attempt to develop a sensory system, specifically designed for the characterization of wines, which combines three sensory modalities: an array of gas sensors, an array of electrochemical liquid sensors, and an optical system to measure color by means of CIElab coordinates. This new analytical tool, that has been called "electronic panel," includes not only sensors, but also hardware (injection system and electronics) and the software necessary for fusing information from the three modules. Each of the three sensory modalities (volatiles, liquids, and color) has been designed, tested, and optimized separately. The discrimination capabilities of the system have been evaluated on a database consisting of six red Spanish wines prepared using the same variety of grape (tempranillo) but differing in their geographic origins and aging stages. Sensor signals from each module have been combined and analyzed using pattern recognition techniques. The results of this work show that the discrimination capabilities of the system are significantly improved when signals from each module are combined to form a multimodal feature vector.},
keywords = {Chemical sensors, Electronic nose},
pubstate = {published},
tppubtype = {article}
}
This work represents the first attempt to develop a sensory system, specifically designed for the characterization of wines, which combines three sensory modalities: an array of gas sensors, an array of electrochemical liquid sensors, and an optical system to measure color by means of CIElab coordinates. This new analytical tool, that has been called "electronic panel," includes not only sensors, but also hardware (injection system and electronics) and the software necessary for fusing information from the three modules. Each of the three sensory modalities (volatiles, liquids, and color) has been designed, tested, and optimized separately. The discrimination capabilities of the system have been evaluated on a database consisting of six red Spanish wines prepared using the same variety of grape (tempranillo) but differing in their geographic origins and aging stages. Sensor signals from each module have been combined and analyzed using pattern recognition techniques. The results of this work show that the discrimination capabilities of the system are significantly improved when signals from each module are combined to form a multimodal feature vector. |
2003
|
Pasini, P; Powar, N; Gutierrez-Osuna, R; Daunert, S; Roda, A Use of an electronic nose for the identification of genetically modified organisms Conference Proceedings of the 21st National Congress of the Italian Chemical Society, 2003. @conference{pasini03use,
title = {Use of an electronic nose for the identification of genetically modified organisms},
author = {P Pasini and N Powar and R Gutierrez-Osuna and S Daunert and A Roda},
year = {2003},
date = {2003-06-22},
booktitle = {Proceedings of the 21st National Congress of the Italian Chemical Society},
keywords = {Electronic nose},
pubstate = {published},
tppubtype = {conference}
}
|
Courte, D E; Rizki, M M; Tamburino, L A; Gutierrez-Osuna, R Evolutionary optimization of Gaussian windowing functions for data preprocessing Journal Article In: International Journal on Artificial Intelligence Tools, vol. 12, no. 1, pp. 17–36, 2003. @article{courte2003evolutionary,
title = {Evolutionary optimization of Gaussian windowing functions for data preprocessing},
author = {D E Courte and M M Rizki and L A Tamburino and R Gutierrez-Osuna},
url = {https://psi.engr.tamu.edu/wp-content/uploads/2018/01/courte2003evolutionary-1.pdf},
year = {2003},
date = {2003-01-01},
journal = {International Journal on Artificial Intelligence Tools},
volume = {12},
number = {1},
pages = {17--36},
publisher = {WORLD SCIENTIFIC PUBLISHING},
abstract = {The average classification accuracy of an odor classification system is improved using a genetic algorithm to determine optimal parameters for feature extraction. Gaussian windowing functions, called "kernels" are evolved to extract information from the transient response of an array of gas sensors, resulting in a reduced set of extracted features for a linear discriminant pattern classification system. Results show significant improvements are achieved when compared to results obtained using a predetermined and fixed set of four bell-shaped kernels for every sensor. Examination of the evolved kernels reveals the areas of the sensor responses where discriminating information was identified. A novel data migration approach during training helps prevent overtraining, and the fitness measure chosen incorporates adjustments for both population diversity and solution complexity. A variety of adjustable parameters, including the definition of a time-varying dynamic weighting factor, encourage experimentation in order to appropriately tune the sampling methods and fitness measure.},
keywords = {Electronic nose, Pattern recognition},
pubstate = {published},
tppubtype = {article}
}
The average classification accuracy of an odor classification system is improved using a genetic algorithm to determine optimal parameters for feature extraction. Gaussian windowing functions, called "kernels" are evolved to extract information from the transient response of an array of gas sensors, resulting in a reduced set of extracted features for a linear discriminant pattern classification system. Results show significant improvements are achieved when compared to results obtained using a predetermined and fixed set of four bell-shaped kernels for every sensor. Examination of the evolved kernels reveals the areas of the sensor responses where discriminating information was identified. A novel data migration approach during training helps prevent overtraining, and the fitness measure chosen incorporates adjustments for both population diversity and solution complexity. A variety of adjustable parameters, including the definition of a time-varying dynamic weighting factor, encourage experimentation in order to appropriately tune the sampling methods and fitness measure. |
Gudmundsson, K S; Awwal, A A S; Gutierrez-Osuna, R Application of phase only filters on e-nose data Conference SPIE Conference (Photonic Devices and Algorithms for Computing V), 2003. @conference{gudmundsson03phase,
title = {Application of phase only filters on e-nose data},
author = {K S Gudmundsson and A A S Awwal and R Gutierrez-Osuna},
url = {https://psi.engr.tamu.edu/wp-content/uploads/2018/01/gudmundsson2003application-1.pdf},
year = {2003},
date = {2003-01-01},
booktitle = {SPIE Conference (Photonic Devices and Algorithms for Computing V)},
abstract = {A system composed of multiple sensors for data acquisition requires the analysis of multiple data signals in order to classify the input data. One such system is the electronic nose system (eNose). The eNose data is in fact 1D data from multiple data sources. However, in order to analyze and classify such data using conventional methods such as Linear Discriminant Analysis (LDA), Principal Component Analysis (PCA), or the K Nearest Neighbors (KNN) requires much computational power. In this research data from such system will be analyzed and classified using the POF.},
keywords = {Electronic nose},
pubstate = {published},
tppubtype = {conference}
}
A system composed of multiple sensors for data acquisition requires the analysis of multiple data signals in order to classify the input data. One such system is the electronic nose system (eNose). The eNose data is in fact 1D data from multiple data sources. However, in order to analyze and classify such data using conventional methods such as Linear Discriminant Analysis (LDA), Principal Component Analysis (PCA), or the K Nearest Neighbors (KNN) requires much computational power. In this research data from such system will be analyzed and classified using the POF. |
2002
|
Schiffman, S S; Gutierrez-Osuna, R; Nagle, H T Measuring odor intensity with e-noses and other sensor types Conference Proceedings of the 9th International Symposium on Olfaction and Electronic Nose, 2002. @conference{schiffman2002measuring,
title = {Measuring odor intensity with e-noses and other sensor types},
author = {S S Schiffman and R Gutierrez-Osuna and H T Nagle},
url = {https://psi.engr.tamu.edu/wp-content/uploads/2018/01/schiffman2002measuring.pdf},
year = {2002},
date = {2002-01-01},
booktitle = {Proceedings of the 9th International Symposium on Olfaction and Electronic Nose},
pages = {68--72},
abstract = {This paper addresses the problem of predicting human olfactory ratings from instrumental measurements. Specifically, the paper analyzes the ability of two commercially-available electronic nose instruments (the NST 3320 and the Cyranose® 320) and three other sensing devices (a photoionization detector, a gold-film sulfur sensor, and an infrared laser detector) to match the performance of the human olfactory system in measuring odor intensity in a variety of realistic situations. These initial studies offer encouraging results for the two e-nose instruments, the PID, and the Au-film sensor.},
keywords = {Electronic nose},
pubstate = {published},
tppubtype = {conference}
}
This paper addresses the problem of predicting human olfactory ratings from instrumental measurements. Specifically, the paper analyzes the ability of two commercially-available electronic nose instruments (the NST 3320 and the Cyranose® 320) and three other sensing devices (a photoionization detector, a gold-film sulfur sensor, and an infrared laser detector) to match the performance of the human olfactory system in measuring odor intensity in a variety of realistic situations. These initial studies offer encouraging results for the two e-nose instruments, the PID, and the Au-film sensor. |
Perera-Lluna, A; Sundic, T; Pardo, A; Gutierrez-Osuna, R; Marco, S A portable electronic nose based on embedded PC technology and GNU/Linux: Hardware, software and applications Journal Article In: Sensors Journal, IEEE, vol. 2, no. 3, pp. 235–246, 2002. @article{perera2002portable,
title = {A portable electronic nose based on embedded PC technology and GNU/Linux: Hardware, software and applications},
author = {A Perera-Lluna and T Sundic and A Pardo and R Gutierrez-Osuna and S Marco},
url = {https://psi.engr.tamu.edu/wp-content/uploads/2018/01/perera2002portable.pdf},
year = {2002},
date = {2002-01-01},
journal = {Sensors Journal, IEEE},
volume = {2},
number = {3},
pages = {235--246},
publisher = {IEEE},
abstract = {This paper describes a portable electronic nose based on embedded PC technology. The instrument combines a small footprint with the versatility offered by embedded technology in terms of software development and digital communications services. A summary of the proposed hardware and software solutions is provided with an emphasis on data processing. Data evaluation procedures available in the instrument include automatic feature selection by means of SFFS, feature extraction with linear discriminant analysis (LDA) and principal component analysis (PCA), multi-component analysis with partial least squares (PLS) and classification through k-NN and Gaussian mixture models. In terms of instrumentation, the instrument makes use of temperature modulation to improve the selectivity of commercial metal oxide gas sensors. Field applications of the instrument, including experimental results, are also presented.},
keywords = {Electronic nose, Metal-oxide sensors},
pubstate = {published},
tppubtype = {article}
}
This paper describes a portable electronic nose based on embedded PC technology. The instrument combines a small footprint with the versatility offered by embedded technology in terms of software development and digital communications services. A summary of the proposed hardware and software solutions is provided with an emphasis on data processing. Data evaluation procedures available in the instrument include automatic feature selection by means of SFFS, feature extraction with linear discriminant analysis (LDA) and principal component analysis (PCA), multi-component analysis with partial least squares (PLS) and classification through k-NN and Gaussian mixture models. In terms of instrumentation, the instrument makes use of temperature modulation to improve the selectivity of commercial metal oxide gas sensors. Field applications of the instrument, including experimental results, are also presented. |
2001
|
Perera-Lluna, A; Pardo, T; Sundic, T; Marco, S; Gutierrez-Osuna, R IpNose: Electronic nose for distributed air quality monitoring system Conference Proceedings of the 3rd European Congress on Odours, Metrology and Electronic Noses, 2001. @conference{perera2001airquality,
title = {IpNose: Electronic nose for distributed air quality monitoring system},
author = {A Perera-Lluna and T Pardo and T Sundic and S Marco and R Gutierrez-Osuna},
year = {2001},
date = {2001-06-19},
booktitle = {Proceedings of the 3rd European Congress on Odours, Metrology and Electronic Noses},
abstract = {Electronic noses are intelligent instruments that are able to classify and quantify different gas/odours. Here we suggest the integration of a small form factor computer inside the electronic nose. This concept allows us to easily provide remote connectivity, large data storage and complex signal processing. The evolution of this technology will permit distributed sensing with applications to agriculture and environment. Proposed instrument allows incoming connections for remote control of bad odours in landfill sites. Preliminary approach to this application using commercial sensors and mixture model pattern recognition scheme is exposed.},
keywords = {Electronic nose},
pubstate = {published},
tppubtype = {conference}
}
Electronic noses are intelligent instruments that are able to classify and quantify different gas/odours. Here we suggest the integration of a small form factor computer inside the electronic nose. This concept allows us to easily provide remote connectivity, large data storage and complex signal processing. The evolution of this technology will permit distributed sensing with applications to agriculture and environment. Proposed instrument allows incoming connections for remote control of bad odours in landfill sites. Preliminary approach to this application using commercial sensors and mixture model pattern recognition scheme is exposed. |
Perera-Lluna, A; Gutierrez-Osuna, R; Marco, S ipNOSE: A portable volatile analyzer based on embedded technology for intensive computation and time dependent signal processing Conference Proceedings of the 8th International Symposium on Olfaction and the Electronic Nose, 2001. @conference{perera2001volatile,
title = {ipNOSE: A portable volatile analyzer based on embedded technology for intensive computation and time dependent signal processing},
author = {A Perera-Lluna and R Gutierrez-Osuna and S Marco},
url = {https://psi.engr.tamu.edu/wp-content/uploads/2018/01/perera2001volatile.pdf},
year = {2001},
date = {2001-03-25},
booktitle = {Proceedings of the 8th International Symposium on Olfaction and the Electronic Nose},
abstract = {Most electronic noses need a computer and special software in order to analyze data from sensors. In the case of portable electronic noses, most of them are operated by microcontrollers with limited data storage (usually feature vectors) and simple signal processing capabilities. Here we suggest the integration of a small form factor computer inside the electronic nose. This concept allows us to easily perform temperature modulation over metal oxide sensors, remote connectivity under TCP/IP networking, large data storage and complex signal processing.},
keywords = {Electronic nose, Metal-oxide sensors},
pubstate = {published},
tppubtype = {conference}
}
Most electronic noses need a computer and special software in order to analyze data from sensors. In the case of portable electronic noses, most of them are operated by microcontrollers with limited data storage (usually feature vectors) and simple signal processing capabilities. Here we suggest the integration of a small form factor computer inside the electronic nose. This concept allows us to easily perform temperature modulation over metal oxide sensors, remote connectivity under TCP/IP networking, large data storage and complex signal processing. |
Gutierrez-Osuna, R; Powar, N; Sun, P Chemosensory adaptation in an electronic nose Conference Proceedings of the 2nd IEEE International Symposium on Bioinformatics and Bioengineering Conference, IEEE 2001. @conference{gutierrez2001chemosensory,
title = {Chemosensory adaptation in an electronic nose},
author = {R Gutierrez-Osuna and N Powar and P Sun},
url = {https://psi.engr.tamu.edu/wp-content/uploads/2018/01/gutierrez2001chemosensory.pdf},
year = {2001},
date = {2001-01-01},
booktitle = {Proceedings of the 2nd IEEE International Symposium on Bioinformatics and Bioengineering Conference},
pages = {223--229},
organization = {IEEE},
abstract = {This article presents a computational mechanism inspired by the process of chemosensory adaptation in the mammalian olfactory system. The algorithm operates on multiple subsets of the sensory space, generating a family of discriminant functions for different volatile compounds. A set of selectivity coefficients is associated to each discriminant function on the basis of its behavior in the presence of mixtures. These coefficients are employed to form a weighted average of the discriminant functions and establish a feedback signal that reduces the contribution of certain sensory inputs, inhibiting the overall selectivity of the system to previously detected analytes. The algorithm is validated on a database of organic solvents using an array of temperature-modulated metal-oxide chemoresistors.},
keywords = {Chemical sensors, Electronic nose, Metal-oxide sensors, Neuromorphic models, Temperature modulation},
pubstate = {published},
tppubtype = {conference}
}
This article presents a computational mechanism inspired by the process of chemosensory adaptation in the mammalian olfactory system. The algorithm operates on multiple subsets of the sensory space, generating a family of discriminant functions for different volatile compounds. A set of selectivity coefficients is associated to each discriminant function on the basis of its behavior in the presence of mixtures. These coefficients are employed to form a weighted average of the discriminant functions and establish a feedback signal that reduces the contribution of certain sensory inputs, inhibiting the overall selectivity of the system to previously detected analytes. The algorithm is validated on a database of organic solvents using an array of temperature-modulated metal-oxide chemoresistors. |
Gutierrez-Osuna, R; Schiffman, S S; Nagle, H T Correlation of sensory analysis with electronic nose data for swine odor remediation assessment Conference Proceedings of the 3rd European Congress on Odours, Metrology and Electronic Noses, 2001. @conference{gutierrez2001correlation,
title = {Correlation of sensory analysis with electronic nose data for swine odor remediation assessment},
author = {R Gutierrez-Osuna and S S Schiffman and H T Nagle},
url = {https://psi.engr.tamu.edu/wp-content/uploads/2018/01/gutierrez2001correlation.pdf},
year = {2001},
date = {2001-01-01},
booktitle = {Proceedings of the 3rd European Congress on Odours, Metrology and Electronic Noses},
abstract = {This article presents an evaluation of the electronic nose technology as an alternative to sensory analysis for assessing the effectiveness of biofilters. An AromaScan® A32S electronic nose and a human panel at Duke University’s Taste and Smell Research Lab were used to measure typical volatile compounds from swine confinement buildings. Chemometrics techniques were employed to predict the olfactory scores of the human panel from the electronic nose data. The cross-sensitivity of the sensor array to the humidity of the samples is discussed. Our results indicate that the electronic nose generates responses that are correlated with sensory analysis ratings of swine malodors at different concentrations.},
keywords = {Electronic nose, Olfaction},
pubstate = {published},
tppubtype = {conference}
}
This article presents an evaluation of the electronic nose technology as an alternative to sensory analysis for assessing the effectiveness of biofilters. An AromaScan® A32S electronic nose and a human panel at Duke University’s Taste and Smell Research Lab were used to measure typical volatile compounds from swine confinement buildings. Chemometrics techniques were employed to predict the olfactory scores of the human panel from the electronic nose data. The cross-sensitivity of the sensor array to the humidity of the samples is discussed. Our results indicate that the electronic nose generates responses that are correlated with sensory analysis ratings of swine malodors at different concentrations. |
Perera-Lluna, A; Pardo, T; Sundi, T; Gutierrez-Osuna, R; Marco, S; Nicolas, J IpNose: Electronic nose for remote bad odour monitoring system in landfill sites Conference Proceedings of the 8th conference EURODEUR, 2001. @conference{perera2001ipnose,
title = {IpNose: Electronic nose for remote bad odour monitoring system in landfill sites},
author = {A Perera-Lluna and T Pardo and T Sundi and R Gutierrez-Osuna and S Marco and J Nicolas},
url = {https://psi.engr.tamu.edu/wp-content/uploads/2018/01/perera2001ipnose.pdf},
year = {2001},
date = {2001-01-01},
booktitle = {Proceedings of the 8th conference EURODEUR},
pages = {19--21},
abstract = {Electronic noses are intelligent instruments that are able to classify and quantify different gas/odours. Here we suggest the integration of a small form factor computer inside the electronic nose. This concept allows us to easily provide remote connectivity, large data storage and complex signal processing. The evolution of this technology will permit distributed sensing with applications to agriculture and environment. Proposed instrument allows incoming connections for remote control of bad odours in landfill sites. Preliminary approach to this application using commercial sensors and mixture model pattern recognition scheme is exposed.},
keywords = {Electronic nose},
pubstate = {published},
tppubtype = {conference}
}
Electronic noses are intelligent instruments that are able to classify and quantify different gas/odours. Here we suggest the integration of a small form factor computer inside the electronic nose. This concept allows us to easily provide remote connectivity, large data storage and complex signal processing. The evolution of this technology will permit distributed sensing with applications to agriculture and environment. Proposed instrument allows incoming connections for remote control of bad odours in landfill sites. Preliminary approach to this application using commercial sensors and mixture model pattern recognition scheme is exposed. |
Schiffman, S S; Gutierrez-Osuna, R; Nagle, H T Use of an electronic nose to evaluate odors from swine operations Conference Proceedings of the 8th International Symposium on Olfaction and Electronic Nose, 2001. @conference{schiffman2001use,
title = {Use of an electronic nose to evaluate odors from swine operations},
author = {S S Schiffman and R Gutierrez-Osuna and H T Nagle},
url = {https://psi.engr.tamu.edu/wp-content/uploads/2018/01/schiffman2001use.pdf},
year = {2001},
date = {2001-01-01},
booktitle = {Proceedings of the 8th International Symposium on Olfaction and Electronic Nose},
abstract = {In this project, an AromaScan A32S electronic nose and a human panel at the Duke Taste and Smell Lab were used to evaluate the effectiveness of biofilters in reducing the malodors in the exhaust air from swine confinement facilities. Three experiments are reported: 1) detection threshold tests for the electronic nose and human panel for a significant component of swine slurry – acetic acid, 2) hedonic tone evaluation by the human panel and electronic nose in a benchtop biofilter setup for an synthetic swine slurry, and 3) field test of the electronic nose in an operational biofilter at a swine production facility. The feasibility of using an electronic nose to replace the human panel in these applications is demonstrated.},
keywords = {Electronic nose},
pubstate = {published},
tppubtype = {conference}
}
In this project, an AromaScan A32S electronic nose and a human panel at the Duke Taste and Smell Lab were used to evaluate the effectiveness of biofilters in reducing the malodors in the exhaust air from swine confinement facilities. Three experiments are reported: 1) detection threshold tests for the electronic nose and human panel for a significant component of swine slurry – acetic acid, 2) hedonic tone evaluation by the human panel and electronic nose in a benchtop biofilter setup for an synthetic swine slurry, and 3) field test of the electronic nose in an operational biofilter at a swine production facility. The feasibility of using an electronic nose to replace the human panel in these applications is demonstrated. |
2000
|
Schiffman, S S; Wyrick, D; Gutierrez-Osuna, R; Nagle, H T Effectiveness of an electronic nose for monitoring bacterial and fungal growth Conference Proceedings of the 7th International Symposium On Olfaction & Electronic Nose, 2000. @conference{schiffman2000effectiveness,
title = {Effectiveness of an electronic nose for monitoring bacterial and fungal growth},
author = {S S Schiffman and D Wyrick and R Gutierrez-Osuna and H T Nagle},
url = {https://psi.engr.tamu.edu/wp-content/uploads/2018/01/schiffman2001effectiveness.pdf},
year = {2000},
date = {2000-01-01},
booktitle = {Proceedings of the 7th International Symposium On Olfaction & Electronic Nose},
journal = {Electronic noses and olfaction},
pages = {173--180},
abstract = {Growth of microbial organisms such as bacteria and fungi generates volatile organic compounds and fixed gases. An electronic nose consisting of 15 metal-oxide sensors (NC State E-Nose) was used to detect and classify bacteria and fungi. Three preliminary experiments were conducted with the electronic nose using odorous stimuli related to microbial contamination. The results suggested that the NC State E-Nose could classify bacteria, fungi, and associated volatile organic compounds. A further experiment was performed to detect and classify five fungi commonly found in indoor environments. These fungi were Aspergillus flavus, Aspergillus niger, Penicillium chrysogenum, Cladosporium cladosporioides, and Stachybotrys chartarum. The fungi were cultured on two types of media, Potato Dextrose Agar (PDA) and Czapek-Dox Agar. The NC State E-nose was capable of discriminating among these fungi with up to 96% accuracy.},
keywords = {Electronic nose},
pubstate = {published},
tppubtype = {conference}
}
Growth of microbial organisms such as bacteria and fungi generates volatile organic compounds and fixed gases. An electronic nose consisting of 15 metal-oxide sensors (NC State E-Nose) was used to detect and classify bacteria and fungi. Three preliminary experiments were conducted with the electronic nose using odorous stimuli related to microbial contamination. The results suggested that the NC State E-Nose could classify bacteria, fungi, and associated volatile organic compounds. A further experiment was performed to detect and classify five fungi commonly found in indoor environments. These fungi were Aspergillus flavus, Aspergillus niger, Penicillium chrysogenum, Cladosporium cladosporioides, and Stachybotrys chartarum. The fungi were cultured on two types of media, Potato Dextrose Agar (PDA) and Czapek-Dox Agar. The NC State E-nose was capable of discriminating among these fungi with up to 96% accuracy. |
1999
|
Gutierrez-Osuna, R; Nagle, H T; Schiffman, S S Transient response analysis of an electronic nose using multi-exponential models Journal Article In: Sensors and Actuators B: Chemical, vol. 61, no. 1-3, pp. 170–182, 1999. @article{gutierrez1999transient,
title = {Transient response analysis of an electronic nose using multi-exponential models},
author = {R Gutierrez-Osuna and H T Nagle and S S Schiffman},
url = {https://psi.engr.tamu.edu/wp-content/uploads/2018/01/gutierrez1999transient.pdf},
year = {1999},
date = {1999-01-01},
journal = {Sensors and Actuators B: Chemical},
volume = {61},
number = {1-3},
pages = {170--182},
publisher = {Elsevier},
abstract = {The purpose of this study is to model the transient response of conductivity-based gas sensors in the context of odor recognition with an electronic nose. Commonly, only the steady-state response of the sensor is used for pattern recognition, ignoring the transient response, which conveys useful discriminatory information. The transient response is modeled as a sum of real exponential functions that represent the different decay processes that occur during sampling of the gas into the sensor chamber and adsorption of the odor compounds onto the sensing element. Four multi-exponential models are reviewed: Gardner transform, multi-exponential transient spectroscopy, Pade-Laplace and Pade-Z transforms. Validation on experimental data from an array of conducting-polymer gas sensors shows that the Pade-Laplace and Pade-Z models have better resolution capabilities than the two spectral transforms.},
keywords = {Chemical sensors, Electronic nose, Temperature modulation},
pubstate = {published},
tppubtype = {article}
}
The purpose of this study is to model the transient response of conductivity-based gas sensors in the context of odor recognition with an electronic nose. Commonly, only the steady-state response of the sensor is used for pattern recognition, ignoring the transient response, which conveys useful discriminatory information. The transient response is modeled as a sum of real exponential functions that represent the different decay processes that occur during sampling of the gas into the sensor chamber and adsorption of the odor compounds onto the sensing element. Four multi-exponential models are reviewed: Gardner transform, multi-exponential transient spectroscopy, Pade-Laplace and Pade-Z transforms. Validation on experimental data from an array of conducting-polymer gas sensors shows that the Pade-Laplace and Pade-Z models have better resolution capabilities than the two spectral transforms. |
1998
|
Nagle, H T; Gutierrez-Osuna, R; Schiffman, S S The how and why of electronic noses Book Chapter In: IEEE Spectrum, pp. 22–34, 1998. @inbook{nagle1998and,
title = {The how and why of electronic noses},
author = {H T Nagle and R Gutierrez-Osuna and S S Schiffman},
url = {https://psi.engr.tamu.edu/wp-content/uploads/2018/01/nagle1998and.pdf},
year = {1998},
date = {1998-01-01},
booktitle = {IEEE Spectrum},
pages = {22--34},
keywords = {Electronic nose},
pubstate = {published},
tppubtype = {inbook}
}
|
1997
|
Classen, J J; Schiffman, S S; Nagle, H T; Gutierrez-Osuna, R Electronic nose evaluation of synthetic hog farm odor Conference Ammonia and odour emissions from animal production facilities, International Symposium, 1997. @conference{classen1997electronic,
title = {Electronic nose evaluation of synthetic hog farm odor},
author = {J J Classen and S S Schiffman and H T Nagle and R Gutierrez-Osuna},
year = {1997},
date = {1997-01-01},
booktitle = {Ammonia and odour emissions from animal production facilities, International Symposium},
keywords = {Electronic nose, Olfaction},
pubstate = {published},
tppubtype = {conference}
}
|