Optimizing The Sensor Array in the Electronic Nose for Coffee Aroma

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Denda Dewatama, Erni Yudaningtyas, Muhammad Fauzan Edy Purnomo, Setyawan P. Sakti

2024 Proceedings - 2024 12th Electrical Power, Electronics, Communications, Controls and Informatics Seminar, EECCIS 2024 Conference paper Cited by 0 Quartile

Abstract

T Gas sensors are a key component in developing an electronic nose (e-nose) for coffee volatile compounds (aroma) applications. This study aims to optimize the use of sensors in e-nose based on three evaluation indicators: sensitivity, selectivity, and sensor correlation. The research was conducted experimentally using nine types of MQ Series sensors with coffee grown near Malang, specifically Robusta-Gedangan, Robusta-Tirtoyudo, Arabica-Semeru, and Arabica-Gunung Kawi Gayo coffee varieties roasted and ground to medium consistency by Alir.co Coffee and Roastery. © 2024 IEEE.

Affiliations

Brawijaya University, Electrical Department, Malang, Indonesia; Politeknik Negeri Malang, Electrical Department, Malang, Indonesia; Brawijaya University, Department of Physics, Malang, Indonesia