Lab-made Chemiresitor Array for Discrimination of Coffee at Different Conditions

In this paper, we report a multi-nanoparticle chemiresistor array for discrimination of three types of commercially available coffees, in both powder form and liquid form (studied under hot-brewed condition and room temperature). Four types of gold nanoparticles (AuNPs) were deposited on the sensor...

Full description

Saved in:
Bibliographic Details
Published in2019 IEEE SENSORS pp. 1 - 4
Main Authors Gao, Tuo, Wang, Yongchen, Fu, Kan, Zhang, Chengwu, Pittman, Zachariah A., Zhao, Jing, Willis, Brian G.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2019
Subjects
chemiresistor
electronic nose
nanoparticles
pattern recognition
vapor sensing
Online AccessGet full text

Cover

More Information
Summary:In this paper, we report a multi-nanoparticle chemiresistor array for discrimination of three types of commercially available coffees, in both powder form and liquid form (studied under hot-brewed condition and room temperature). Four types of gold nanoparticles (AuNPs) were deposited on the sensor array via direct drop-casting method. Classification accuracy are compared using four different statistical methods, including linear discriminant analysis (LDA), linear support vector machine (SVM), fine k-nearest neighbors (KNN), and random forest (RF). The results demonstrated the improvement in the overall classification accuracy by using multi-nanoparticle sensing elements compared with devices using single AuNP. The study suggests a promising method to monitor the flavor or quality change of coffee products.
ISSN:2168-9229
DOI:10.1109/SENSORS43011.2019.8956666