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

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

Portable electronic nose system based on the carbon black–polymer composite sensor array

2005 ◽  
Vol 108 (1-2) ◽  
pp. 285-291 ◽  
Author(s):  
Yong Shin Kim ◽  
Seung-Chul Ha ◽  
Yoonseok Yang ◽  
Young Jun Kim ◽  
Seong Mok Cho ◽  
...  
Keyword(s):  
Carbon Black ◽  
Polymer Composite ◽  
Electronic Nose ◽  
Sensor Array ◽  
Electronic Nose System ◽  
Composite Sensor

scholarly journals Identification of the raw and processed Crataegi Fructus based on the electronic nose coupled with chemometric methods

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Chenghao Fei ◽  
Chenchen Ren ◽  
Yulin Wang ◽  
Lin Li ◽  
Weidong Li ◽  
...  
Keyword(s):  
Electronic Nose ◽  
Sensor Array ◽  
Prediction Models ◽  
Back Propagation ◽  
Back Propagation Neural Network ◽  
Stepwise Discriminant Analysis ◽  
Accuracy Rate ◽  
Different Types ◽  
Chemical Content ◽  
Electronic Nose System

AbstractCrataegi Fructus (CF) is widely used as a medicinal and edible material around the world. Currently, different types of processed CF products are commonly found in the market. Quality evaluation of them mainly relies on chemical content determination, which is time and money consuming. To rapidly and nondestructively discriminate different types of processed CF products, an electronic nose coupled with chemometrics was developed. The odour detection method of CF was first established by single-factor investigation. Then, the sensor array was optimised by a stepwise discriminant analysis (SDA) and analysis of variance (ANOVA). Based on the best-optimised sensor array, the digital and mode standard were established, realizing the odour quality control of samples. Meanwhile, mathematical prediction models including the discriminant formula and back-propagation neural network (BPNN) model exhibited good evaluation with a high accuracy rate. These results suggest that the developed electronic nose system could be an alternative way for evaluating the odour of different types of processed CF products.

scholarly journals Discriminatory power assessment of the sensor array of an electronic nose system for the detection of non alcoholic beer aging

2012 ◽  
Vol 30 (No. 3) ◽  
pp. 236-240 ◽  
Author(s):  
M. Ghasemi-Varnamkhasti ◽  
S.S. Mohtasebi ◽  
M. Siadat ◽  
S.H. Razavi ◽  
H. Ahmadi ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Electronic Nose ◽  
High Stability ◽  
Sensor Array ◽  
Principal Component ◽  
Discriminatory Power ◽  
Chemical Changes ◽  
Brewing Process ◽  
Electronic Nose System ◽  
And Control

Many chemical changes in beer aroma occur during storage (aging), and monitoring these changes could give guidelines to the brewers how to manage and control the brewing process to obtain the final product with a high stability in flavour after packaging. In this regard, our laboratory aimed at a research into the application of an electronic nose in order to get the fingerprint of the change of non alcoholic beer aroma during aging. Th discriminatory power of the sensor array of this system was evaluated. Principal Component Analysis (PCA) and Soft Independent Modelling of Class Analogy (SIMCA) techniques were used for this purpose. The results obtained can direct us to performing other parts of our project. Considering the discriminatory power of the sensor array used, we can develop the application of a specific electronic nose system by picking up the most effective sensors or ignoring the redundant sensors.

Development of Chemical Sensor Array for Rice Aroma Detection

2015 ◽  
Vol 1103 ◽  
pp. 15-20
Author(s):  
Panida Lorwongtragool ◽  
Teerakiat Kerdcharoen
Keyword(s):  
Electronic Nose ◽  
Sensor Array ◽  
Chemical Sensor ◽  
Principal Component ◽  
Sample Temperature ◽  
Rice Grain ◽  
Milled Rice ◽  
The Matrix ◽  
Electronic Nose System ◽  
Rice Aroma

Gas sensor array based on polymer/multi-walled carbon nanotubes (polymer/MWCNTs) composites prepared by screen printing technique was examined for rice aroma detection. The sensor array consists of two sets of three different sensors, i.e., MWCNTs dispersed in the matrix of poly (2-Acrylamido-2-methyl-1-propanesulfonic acid-co-acrylonitrile (S1-S2), polyvinyl alcohol (S3-S4) and poly (styreneco-maleic acid) partial isobutyl/methyl mixed ester (S5-S6). Sample temperature, which is one of the important parameters, has been found to influence the releasing rate of the volatiles from rice grain when needed to operate on the electronic nose system. In this case, the fabricated sensor array installed within a lab-made electronic nose system with optimum sample temperature at 70°C could provide rapid and best responses to the volatiles released from the milled rice sample. Moreover, the responsive signals could be recovered to original state as well within four minutes by only purging with fresh air at room temperature. Based on the principal component analysis (PCA) pattern recognition, it was shown that the electronic nose can discriminate six rice samples based on the content of aroma.

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

Comparison and data fusion of an electronic nose and near-infrared reflectance spectroscopy for the discrimination of ginsengs

2016 ◽  
Vol 8 (6) ◽  
pp. 1265-1273 ◽  
Author(s):  
Jiacheng Miao ◽  
Zhiyuan Luo ◽  
You Wang ◽  
Guang Li
Keyword(s):  
Electronic Nose ◽  
Sensor Array ◽  
Near Infrared ◽  
Reflectance Spectroscopy ◽  
Infrared Reflectance ◽  
Near Infrared Reflectance Spectroscopy ◽  
Near Infrared Reflectance ◽  
Infrared Reflectance Spectroscopy ◽  
Metal Oxide Sensors ◽  
Electronic Nose System

This paper reports a hybrid system consisting of a homemade electronic nose system (E-nose) with a sensor array of 16 metal-oxide sensors and near-infrared reflectance spectroscopy (NIRS) system for discriminating different kinds of ginsengs.

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