Aroma detection using a gas sensor array with different polyaniline films

2019 ◽  
Vol 11 (5) ◽  
pp. 654-660 ◽  
Author(s):  
Adriana Marcia Graboski ◽  
Sandra Cristina Ballen ◽  
Elisiane Galvagni ◽  
Thiago Lazzari ◽  
Alexandra Manzoli ◽  
...  
Keyword(s):  
Gas Sensor ◽  
Electronic Nose ◽  
Sensor Array ◽  
Gas Sensor Array ◽  
Polyaniline Films ◽  
Electronic Nose System

This paper presents a gas sensor array designed to be an electronic nose system characterized for the detection of different aromas (grape, apple, and strawberry).

Electronic nose system with micro gas sensor array

1996 ◽  
Vol 36 (1-3) ◽  
pp. 338-341 ◽  
Author(s):  
Hyung-Ki Hong ◽  
Hyun Woo Shin ◽  
Dong Hyun Yun ◽  
Seung-Ryeol Kim ◽  
Chul Han Kwon ◽  
...  
Keyword(s):  
Gas Sensor ◽  
Electronic Nose ◽  
Sensor Array ◽  
Gas Sensor Array ◽  
Micro Gas Sensor ◽  
Electronic Nose System

Portable electronic nose system with gas sensor array and artificial neural network

2000 ◽  
Vol 66 (1-3) ◽  
pp. 49-52 ◽  
Author(s):  
Hyung-Ki Hong ◽  
Chul Han Kwon ◽  
Seung-Ryeol Kim ◽  
Dong Hyun Yun ◽  
Kyuchung Lee ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Gas Sensor ◽  
Electronic Nose ◽  
Sensor Array ◽  
Gas Sensor Array ◽  
Artificial Neural ◽  
Electronic Nose System

An electronic nose system based on a micro-machined gas sensor array to assess the freshness of sardines

2009 ◽  
Vol 141 (2) ◽  
pp. 538-543 ◽  
Author(s):  
N. El Barbri ◽  
J. Mirhisse ◽  
R. Ionescu ◽  
N. El Bari ◽  
X. Correig ◽  
...  
Keyword(s):  
Gas Sensor ◽  
Electronic Nose ◽  
Sensor Array ◽  
Gas Sensor Array ◽  
Electronic Nose System

scholarly journals Application of Electronic Nose for Evaluation of Wastewater Treatment Process Effects at Full-Scale WWTP

Processes ◽  
2019 ◽  
Vol 7 (5) ◽  
pp. 251 ◽  
Author(s):  
Grzegorz Łagód ◽  
Sylwia M. Duda ◽  
Dariusz Majerek ◽  
Adriana Szutt ◽  
Agnieszka Dołhańczuk-Śródka
Keyword(s):  
Wastewater Treatment ◽  
Gas Sensor ◽  
Electronic Nose ◽  
Sensor Array ◽  
Treatment Plant ◽  
Full Scale ◽  
Oxide Semiconductor ◽  
Pollution Level ◽  
Gas Sensor Array

This paper presents the results of studies aiming at the assessment and classification of wastewater using an electronic nose. During the experiment, an attempt was made to classify the medium based on an analysis of signals from a gas sensor array, the intensity of which depended on the levels of volatile compounds in the headspace gas mixture above the wastewater table. The research involved samples collected from the mechanical and biological treatment devices of a full-scale wastewater treatment plant (WWTP), as well as wastewater analysis. The measurements were carried out with a metal-oxide-semiconductor (MOS) gas sensor array, when coupled with a computing unit (e.g., a computer with suitable software for the analysis of signals and their interpretation), it formed an e-nose—that is, an imitation of the mammalian olfactory sense. While conducting the research it was observed that the intensity of signals sent by sensors changed with drops in the level of wastewater pollution; thus, the samples could be classified in terms of their similarity and the analyzed gas-fingerprint could be related to the pollution level expressed by physical and biochemical indicators. Principal component analysis was employed for dimensionality reduction, and cluster analysis for grouping observation purposes. Supervised learning techniques confirmed that the obtained data were applicable for the classification of wastewater at different stages of the purification process.

Electronic nose system based on polyaniline films sensor array with different dopants for discrimination of artificial aromas

2017 ◽  
Vol 43 ◽  
pp. 112-116 ◽  
Author(s):  
Lídia Tiggemann ◽  
Sandra Cristina Ballen ◽  
Cristian Matheus Bocalon ◽  
Adriana Marcia Graboski ◽  
Alexandra Manzoli ◽  
...  
Keyword(s):  
Electronic Nose ◽  
Sensor Array ◽  
Polyaniline Films ◽  
Electronic Nose System

Development of Electronic Nose with Low-Cost Dynamic Headspace for Classifying Vegetable Oils and Animal Fats

2015 ◽  
Vol 771 ◽  
pp. 50-54 ◽  
Author(s):  
Kuwat Triyana ◽  
M. Taukhid Subekti ◽  
Prasetyo Aji ◽  
Shidiq Nur Hidayat ◽  
Abdul Rohman
Keyword(s):  
Gas Sensor ◽  
Vegetable Oils ◽  
Electronic Nose ◽  
Sensor Array ◽  
Low Cost ◽  
Measurement Data ◽  
Dynamic Headspace ◽  
Data Set ◽  
Animal Fats ◽  
Gas Sensor Array

A portable electronic nose (e-nose) using low-cost dynamic headspace and commercially metal oxide gas sensors has been developed. This paper reports evaluation on the performance of the e-nose to classify vegetable oils (sunflower and grape seed oils) and animal fats (mutton, chicken and pig fats). The e-nose consists of a dynamic headspace sampling, a gas sensor array and a real-time data acquisition system based on ATMega-16 microcontroller. The dynamic headspace can divided into two chambers, i.e. sample and gas sensor array room. It is also equipped with three small fans for adjusting sensing and purging processes. Principal component analysis (PCA) was used for measurement data analysis after all features being extracted. The first two principal components were kept because they accounted for 91.1% of the variance in the data set (first and second principals accounted for 72.9, 18.2% of the variance, respectively). This results show that the e-nose can distinguish vegetable oils and animal fats. This work demonstrates for the future that the e-nose with low-cost dynamic headspace technique may be applied to the identification of oils and fats in halal authentication.

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