A chemiresistive sensor array from conductive polymer nanowires fabricated by nanoscale soft lithography

Nanoscale ◽  
2018 ◽  
Vol 10 (44) ◽  
pp. 20578-20586 ◽  
Author(s):  
Yang Jiang ◽  
Ning Tang ◽  
Cheng Zhou ◽  
Ziyu Han ◽  
Hemi Qu ◽  
...  

A chemiresistive gas sensor array composed of well-ordered sub-100 nm wide conducting polymer nanowires was fabricated by using cost-effective nanoscale soft lithography.

2021 ◽  
Vol 67 (1) ◽  
Author(s):  
Masaki Suzuki ◽  
Teruhisa Miyauchi ◽  
Shinichi Isaji ◽  
Yasushi Hirabayashi ◽  
Ryuichi Naganawa

AbstractFungal decomposition of wood severely affects the soundness of timber constructions. The diagnosis of wood decay requires direct observations or sampling by skilled experts. Wood decay often occurs in obscure spaces, including the enclosed inner spaces of walls or under the floor. In this study, we examined the ability of machine olfaction to detect odors of fungi grown on common construction softwoods to provide a novel diagnostic method for wood construction soundness. The combination of a simple device equipped with semiconductor gas sensors (gas sensor array) and multivariate analysis discriminated a fungi-related odor from control odor without instrumental analysis (e.g., gas chromatography). This method is often referred to as machine olfaction or electronic nose. We measured the odor of wood test pieces that were infected with Fomitopsis palustris or Trametes versicolor and sound test pieces using a gas sensor array. The sensor responses of the specimens showed different patterns between the inoculated and control samples. Each specimen class formed independent groups in a principal component score plot, almost regardless of wood species, fungal species, or cultivation period. This method provides a new decay diagnosis method that is cost-effective and easy to operate.


1991 ◽  
Vol 7 (Supple) ◽  
pp. 1565-1568 ◽  
Author(s):  
Yukio Hiranaka ◽  
Hiro Yamasaki

2021 ◽  
Author(s):  
Fajar IAIN Hardoyono ◽  
Kikin Windhani

This study aimed to identify four bioactive compounds in turmeric (Curcuma longa L.) using gas sensor array based on molecularly imprinted polymer-quartz crystal microbalance (MIP-QCM). Four QCM sensors coated with...


2008 ◽  
Vol 134 (2) ◽  
pp. 660-665 ◽  
Author(s):  
L. Francioso ◽  
A. Forleo ◽  
A.M. Taurino ◽  
P. Siciliano ◽  
L. Lorenzelli ◽  
...  

2018 ◽  
Vol 273 ◽  
pp. 1556-1563 ◽  
Author(s):  
Sangjun Park ◽  
Inug Yoon ◽  
Sungwoo Lee ◽  
Hyojung Kim ◽  
Ji-Won Seo ◽  
...  

2014 ◽  
Vol 494-495 ◽  
pp. 955-959 ◽  
Author(s):  
Wen Na Zhang ◽  
Guo Jun Qin ◽  
Niao Qing Hu

Data from sensor array are often arranged in three-dimension as sample × time × sensor. Traditional methods are mainly used for two-dimension data. When such methods are applied, some time-profile information will lost. To acquire the information of samples, sensors and times more exactly, parallel factor analysis (PARAFAC) is investigated to deal with three-way data array. Through the analysis and classification of three kinds of oil odor samples, the performance of PARAFAC in gas sensor array signal analysis is verified and validated.


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