@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}