Nilava Debabhuti, Rishav Sen, A. Sengupta, Sahil Sengupta, Prolay Sharma, B. Tudu, R. Bandyopadhyay, N. Bhattacharyya
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Microcontroller Based Sensor-Array Data Acquisition System for Electronic Nose
The development of a microcontroller-based data acquisition for the processing of the real-time data of a QCM Sensor array-based E-Nose system and its output on a graphical user interface (GUI) has been discussed. The working model of the E-nose comprises 4 QCM sensors connected to a multi-core processor(P8X32A-Q44), a multi-core processor chip, which is connected serially to Raspberry-Pi4 where the data acquisition and processing is carried out. The live graphs of the frequency changes and related outputs can be viewed through the GUI, which is touch operated. The system is designed to take and simultaneously plot the real-time data continuously of the four QCM sensors for a particular sample and consequently perform composite analysis based upon the user choice. The GUI also allows the user to distinguish the samples using the principal component analysis (PCA) algorithm that has been developed using the Linux platform which has been implemented on the E-nose dataset.