Graphene Foam Chemical Sensor System Based on Principal Component Analysis and Backpropagation Neural Network
Joint Authors
Hua, Hongling
Xie, Xiaohui
Sun, Jinjin
Qin, Ge
Tang, Caiyan
Zhang, Zhen
Ding, Zhaoqiang
Yue, Weiwei
Source
Advances in Condensed Matter Physics
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-03-04
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
A kind of graphene foam chemical sensor (GFCS) system based on the principal component analysis (PCA) and backpropagation neural network (BPNN) was presented in this paper.
Compared with conventional chemical sensors, the GFCS could discriminate various chemical molecules with selectivity without surface modification.
The GFCS system consisted of an unmodified graphene foam chemical sensor, an electrical resistance time domain detection system (ERTDS), and a pattern recognition module.
The GFCS has been validated via several chemical molecules discrimination including chloroform, acetone, and ether.
The experimental results showed that the discrimination accuracy for each molecule exceeded 97% and a single measurement can be achieved in ten minutes.
This work may have presented a new strategy for research and application for graphene chemical sensors.
American Psychological Association (APA)
Hua, Hongling& Xie, Xiaohui& Sun, Jinjin& Qin, Ge& Tang, Caiyan& Zhang, Zhen…[et al.]. 2018. Graphene Foam Chemical Sensor System Based on Principal Component Analysis and Backpropagation Neural Network. Advances in Condensed Matter Physics،Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1117153
Modern Language Association (MLA)
Hua, Hongling…[et al.]. Graphene Foam Chemical Sensor System Based on Principal Component Analysis and Backpropagation Neural Network. Advances in Condensed Matter Physics No. 2018 (2018), pp.1-8.
https://search.emarefa.net/detail/BIM-1117153
American Medical Association (AMA)
Hua, Hongling& Xie, Xiaohui& Sun, Jinjin& Qin, Ge& Tang, Caiyan& Zhang, Zhen…[et al.]. Graphene Foam Chemical Sensor System Based on Principal Component Analysis and Backpropagation Neural Network. Advances in Condensed Matter Physics. 2018. Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1117153
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1117153