A Flexible Multichannel Platform for Versatile E-Nose and E-Tongue Operations

This article introduces a flexible multichannel platform designed for integrating multiple sensors, among which electronic noses (e-noses) and electronic tongues (e-tongues), targeting food quality and safety assessments. The proposed device is designed aiming for maximum portability, allowing on-site analyses, and maximum modularity, to meet user requirements. The customizable configurations allow the user to adjust the number of channels, current ranges, and voltage settings and to perform different analyses simultaneously. A variable number of sensing modules with different features can simultaneously be interfaced with the same control board, equipped with a microcontroller unit (MCU) and a wireless module to both process data for onboard analyses and send it to the cloud. The modular design of the system allows for interchangeable sensing modules, offering high flexibility in sensory analysis compared to the existing portable solutions. Two custom dual-channel module boards have been designed with different operating current ranges, minimizing power consumption for extended portability, requiring only 3.16 mA per channel during operations of the high-current module and 2.11 mA for the low-current module. Device characterization demonstrates high linearity, with an R-squared higher than 0.999 over the entire voltage range. The channel-to-channel gain mismatch is limited to 0.26%. Spectral analysis shows 20-<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\mu $ </tex-math></inline-formula> Vrms of equivalent noise, leading to an equivalent minimum sensor resolution of 16 noise-free bits.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Instrumentation and Measurement
Published
2025-01-01
DOI
https://doi.org/10.1109/tim.2025.3551995
Citations
6
Primary Topic
Infant Health and Development
Type
article
Field-Weighted Citation Impact
12.13

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Flexible Multichannel Platform for Versatile E-Nose and E-Tongue Operations

Valentina Bianchi, Ilaria De Munari, Andrea Boni, Michele Caselli et al.
6 citations
IEEE Transactions on Instrumentation and Measurement
Infant Health and Development
12.13
article

A Flexible Multichannel Platform for Versatile E-Nose and E-Tongue Operations

Valentina Bianchi, Ilaria De Munari, Andrea Boni, Michele Caselli, Mattia Stighezza
article en
6 citations

Abstract

This article introduces a flexible multichannel platform designed for integrating multiple sensors, among which electronic noses (e-noses) and electronic tongues (e-tongues), targeting food quality and safety assessments. The proposed device is designed aiming for maximum portability, allowing on-site analyses, and maximum modularity, to meet user requirements. The customizable configurations allow the user to adjust the number of channels, current ranges, and voltage settings and to perform different analyses simultaneously. A variable number of sensing modules with different features can simultaneously be interfaced with the same control board, equipped with a microcontroller unit (MCU) and a wireless module to both process data for onboard analyses and send it to the cloud. The modular design of the system allows for interchangeable sensing modules, offering high flexibility in sensory analysis compared to the existing portable solutions. Two custom dual-channel module boards have been designed with different operating current ranges, minimizing power consumption for extended portability, requiring only 3.16 mA per channel during operations of the high-current module and 2.11 mA for the low-current module. Device characterization demonstrates high linearity, with an R-squared higher than 0.999 over the entire voltage range. The channel-to-channel gain mismatch is limited to 0.26%. Spectral analysis shows 20-<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\mu $ </tex-math></inline-formula> Vrms of equivalent noise, leading to an equivalent minimum sensor resolution of 16 noise-free bits.

IEEE Transactions on Instrumentation and MeasurementVol. 74
University of Parma (IT)
European Commission
Openalex Percentile: Top 1%
Infant Health and Development
12.13
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.