Скачать или смотреть Paper Based Graphene Sensor For Electronic Tongue Application |

Nowadays, the e-waste produced by electronic industry has increased significantly and this will leave negative impact to the environment. The electronic tongue (ET) consists of different sensing elements such as voltammetric, optical, impedemetric and potentiometric sensors and this type of ET normally is expensive, not recyclable and not disposable. Hence, this work will focus on the performance of the paper-based ET on Linear Discriminant Analysis (LDA). The Arduino based ET was developed to measure the resistance and capacitance value of the sensor when the sample solution is dropped on it. The sample solutions used are salt solution, sugar solution and plain water. Features such as resistance and capacitance value at certain time and gradients of the resistance and capacitance graphs are extracted to implement the LDA in Python. The performance of paper-based ET shows that the more the number of features extracted, the clearer the taste classification which mean high mean accuracy score.

Dr Shaharin Fadzli bin Abd Rahman
Department of Electronic and Computer Engineering
School of Electrical Engineering
Universiti Teknologi Malaysia
Johor Bahru, Malaysia.
[email protected]