scholarly journals A Biomimetic Sensor Array Based on a Single Fluorescent Block-copolymer for the Pattern Recognition of Proteins

2020 ◽  
Vol 49 (12) ◽  
pp. 1447-1451
Author(s):  
Shunsuke Tomita ◽  
Hiroka Sugai ◽  
Sayaka Ishihara ◽  
Takuya Hosokai ◽  
Ryoji Kurita
Keyword(s):  
Pattern Recognition ◽  
Block Copolymer ◽  
Sensor Array ◽  
Biomimetic Sensor

Nano Sensor Using One Dimensional Porous Indium Oxide and Pattern Recognition Method of Its Electronic Information

2021 ◽  
Vol 16 (2) ◽  
pp. 255-263
Author(s):  
Qinghong Wu ◽  
Wanying Zhang
Keyword(s):  
Pattern Recognition ◽  
Indium Oxide ◽  
Electronic Nose ◽  
Sensor Array ◽  
Dimensional Space ◽  
Ordinary Least Squares ◽  
Acquisition Time ◽  
Pattern Recognition Method ◽  
Recognition Method ◽  
Linear Discriminant

Due to its high sensitivity, low price and fast response speed, gas sensors based on metal oxide nanomate-rials have attracted many researchers to modify and explore the materials. First, pure indium oxide (In2O3) nanotubes (NTs)/porous NTs (PNTs) and Ho doped In2O3 NTs/PNTs are prepared by electrospinning and calcination. Then, based on the prepared nanomaterials, the 6-channel sensor array is obtained and used in the electronic nose sensing system for wine product identification. The system obtains the frequency signals of different liquor products by means of 6-channel sensor array, analyzes the extracted electronic signal characteristic information by means of ordinary least squares, and introduces the pattern recognition method of moving average and linear discriminant to identify liquor products. In the experiment, compared with pure In2O3 NTs sensor, pure In2O3 PNTs sensor has higher sensitivity to 100 ppm ethanol gas, and the sensitivity is further improved after mixing Ho. Among them, 6 mol% Ho + In2O3 PNTs have the highest sensitivity and the shortest response time; based on the electronic nose system composed of prepared nanomaterial sensor array, frequency signals of different Wu Liang Ye wines are collected. With the extension of acquisition time, the corresponding frequency first decreases and then becomes stable; the extracted liquor characteristic signal is projected into two-dimensional space and three-dimensional space. The results show that the pattern recognition system based on this method can extract the characteristic signals of liquor products and distinguish them.

Detection of hazardous gases and vapors: pattern recognition analysis of data from an electrochemical sensor array

1986 ◽  
Vol 58 (4) ◽  
pp. 860-866 ◽  
Author(s):  
Joseph R. Stetter ◽  
Peter C. Jurs ◽  
Susan L. Rose
Keyword(s):  
Pattern Recognition ◽  
Electrochemical Sensor ◽  
Sensor Array ◽  
Hazardous Gases ◽  
Pattern Recognition Analysis

Versatile microcontrolled gas sensor array system using the quartz microbalance principle and pattern recognition methods

1995 ◽  
Vol 26 (1-3) ◽  
pp. 181-186 ◽  
Author(s):  
Jörg Auge ◽  
Peter Hauptmann ◽  
Jens Hartmann ◽  
Steffen Rösler ◽  
Ralf Lucklum
Keyword(s):  
Pattern Recognition ◽  
Gas Sensor ◽  
Sensor Array ◽  
Quartz Microbalance ◽  
Pattern Recognition Methods ◽  
Gas Sensor Array

Pattern Recognition of a Gas Sensor Array Using Impedance

2000 ◽  
Vol 37 (6) ◽  
pp. 862 ◽  
Author(s):  
Lee Yun-Su ◽  
Joo Byung-Su ◽  
Choi Nak-Jin ◽  
Kang Bong-Hwi ◽  
Lee Duk-Dong
Keyword(s):  
Pattern Recognition ◽  
Gas Sensor ◽  
Sensor Array ◽  
Gas Sensor Array

Disease-specific protein corona sensor arrays may have disease detection capacity

2019 ◽  
Vol 4 (5) ◽  
pp. 1063-1076 ◽  
Author(s):  
Giulio Caracciolo ◽  
Reihaneh Safavi-Sohi ◽  
Reza Malekzadeh ◽  
Hossein Poustchi ◽  
Mahdi Vasighi ◽  
...  
Keyword(s):  
Pattern Recognition ◽  
Sensor Array ◽  
Sensor Arrays ◽  
Protein Corona ◽  
Specific Protein ◽  
Disease Detection ◽  
P Protein ◽  
Array Technology ◽  
Disease Specific

Protein corona sensor array technology identifies diseases through specific proteomics pattern recognition.

Identification of Multiple Analytes Using an Optical Sensor Array and Pattern Recognition Neural Networks

1997 ◽  
Vol 69 (22) ◽  
pp. 4641-4648 ◽  
Author(s):  
Stephen R. Johnson ◽  
Jon M. Sutter ◽  
Heidi L. Engelhardt ◽  
Peter C. Jurs ◽  
Joel White ◽  
...  
Keyword(s):  
Neural Networks ◽  
Pattern Recognition ◽  
Optical Sensor ◽  
Sensor Array ◽  
Multiple Analytes

Complex chemical pattern recognition with sensor array: the discrimination of vintage years of wine

1995 ◽  
Vol 25 (1-3) ◽  
pp. 801-804 ◽  
Author(s):  
Corrado Di Natale ◽  
Fabrizio A.M. Davide ◽  
Arnaldo D'Amico ◽  
Giorgio Sberveglieri ◽  
Paulo Nelli ◽  
...  
Keyword(s):  
Pattern Recognition ◽  
Sensor Array ◽  
Complex Chemical ◽  
Chemical Pattern ◽  
Chemical Pattern Recognition
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