Energy Efficient Artificial Olfactory System with Integrated Sensing and Computing Capabilities for Food Spoilage Detection

Abstract Artificial olfactory systems (AOSs) that mimic biological olfactory systems are of great interest. However, most existing AOSs suffer from high energy consumption levels and latency issues due to data conversion and transmission. In this work, an energy‐ and area‐efficient AOS based on near...

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Main Authors: Gyuweon Jung, Jaehyeon Kim, Seongbin Hong, Hunhee Shin, Yujeong Jeong, Wonjun Shin, Dongseok Kwon, Woo Young Choi, Jong‐Ho Lee
Format: Article
Language:English
Published: Wiley 2023-10-01
Series:Advanced Science
Subjects:
Online Access:https://doi.org/10.1002/advs.202302506
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author Gyuweon Jung
Jaehyeon Kim
Seongbin Hong
Hunhee Shin
Yujeong Jeong
Wonjun Shin
Dongseok Kwon
Woo Young Choi
Jong‐Ho Lee
author_facet Gyuweon Jung
Jaehyeon Kim
Seongbin Hong
Hunhee Shin
Yujeong Jeong
Wonjun Shin
Dongseok Kwon
Woo Young Choi
Jong‐Ho Lee
author_sort Gyuweon Jung
collection DOAJ
description Abstract Artificial olfactory systems (AOSs) that mimic biological olfactory systems are of great interest. However, most existing AOSs suffer from high energy consumption levels and latency issues due to data conversion and transmission. In this work, an energy‐ and area‐efficient AOS based on near‐sensor computing is proposed. The AOS efficiently integrates an array of sensing units (merged field effect transistor (FET)‐type gas sensors and amplifier circuits) and an AND‐type nonvolatile memory (NVM) array. The signals of the sensing units are directly connected to the NVM array and are computed in memory, and the meaningful linear combinations of signals are output as bit line currents. The AOS is designed to detect food spoilage by employing thin zinc oxide films as gas‐sensing materials, and it exhibits low detection limits for H2S and NH3 gases (0.01 ppm), which are high‐protein food spoilage markers. As a proof of concept, monitoring the entire spoilage process of chicken tenderloin is demonstrated. The system can continuously track freshness scores and food conditions throughout the spoilage process. The proposed AOS platform is applicable to various applications due to its ability to change the sensing temperature and programmable NVM cells.
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spelling doaj.art-9864e803111847f6aa37e2ace34f726d2023-10-26T20:10:11ZengWileyAdvanced Science2198-38442023-10-011030n/an/a10.1002/advs.202302506Energy Efficient Artificial Olfactory System with Integrated Sensing and Computing Capabilities for Food Spoilage DetectionGyuweon Jung0Jaehyeon Kim1Seongbin Hong2Hunhee Shin3Yujeong Jeong4Wonjun Shin5Dongseok Kwon6Woo Young Choi7Jong‐Ho Lee8Department of Electrical and Computer Engineering and Inter‐University Semiconductor Research Center Seoul National University Seoul 08826 Republic of KoreaDepartment of Electrical and Computer Engineering and Inter‐University Semiconductor Research Center Seoul National University Seoul 08826 Republic of KoreaDepartment of Electrical and Computer Engineering and Inter‐University Semiconductor Research Center Seoul National University Seoul 08826 Republic of KoreaDepartment of Electrical and Computer Engineering and Inter‐University Semiconductor Research Center Seoul National University Seoul 08826 Republic of KoreaDepartment of Electrical and Computer Engineering and Inter‐University Semiconductor Research Center Seoul National University Seoul 08826 Republic of KoreaDepartment of Electrical and Computer Engineering and Inter‐University Semiconductor Research Center Seoul National University Seoul 08826 Republic of KoreaDepartment of Electrical and Computer Engineering and Inter‐University Semiconductor Research Center Seoul National University Seoul 08826 Republic of KoreaDepartment of Electrical and Computer Engineering and Inter‐University Semiconductor Research Center Seoul National University Seoul 08826 Republic of KoreaDepartment of Electrical and Computer Engineering and Inter‐University Semiconductor Research Center Seoul National University Seoul 08826 Republic of KoreaAbstract Artificial olfactory systems (AOSs) that mimic biological olfactory systems are of great interest. However, most existing AOSs suffer from high energy consumption levels and latency issues due to data conversion and transmission. In this work, an energy‐ and area‐efficient AOS based on near‐sensor computing is proposed. The AOS efficiently integrates an array of sensing units (merged field effect transistor (FET)‐type gas sensors and amplifier circuits) and an AND‐type nonvolatile memory (NVM) array. The signals of the sensing units are directly connected to the NVM array and are computed in memory, and the meaningful linear combinations of signals are output as bit line currents. The AOS is designed to detect food spoilage by employing thin zinc oxide films as gas‐sensing materials, and it exhibits low detection limits for H2S and NH3 gases (0.01 ppm), which are high‐protein food spoilage markers. As a proof of concept, monitoring the entire spoilage process of chicken tenderloin is demonstrated. The system can continuously track freshness scores and food conditions throughout the spoilage process. The proposed AOS platform is applicable to various applications due to its ability to change the sensing temperature and programmable NVM cells.https://doi.org/10.1002/advs.202302506artificial olfactory systemelectronic noseFET‐type gas sensor arrayfood spoilage detectionnear‐sensor computingnonvolatile memory (NVM) array
spellingShingle Gyuweon Jung
Jaehyeon Kim
Seongbin Hong
Hunhee Shin
Yujeong Jeong
Wonjun Shin
Dongseok Kwon
Woo Young Choi
Jong‐Ho Lee
Energy Efficient Artificial Olfactory System with Integrated Sensing and Computing Capabilities for Food Spoilage Detection
Advanced Science
artificial olfactory system
electronic nose
FET‐type gas sensor array
food spoilage detection
near‐sensor computing
nonvolatile memory (NVM) array
title Energy Efficient Artificial Olfactory System with Integrated Sensing and Computing Capabilities for Food Spoilage Detection
title_full Energy Efficient Artificial Olfactory System with Integrated Sensing and Computing Capabilities for Food Spoilage Detection
title_fullStr Energy Efficient Artificial Olfactory System with Integrated Sensing and Computing Capabilities for Food Spoilage Detection
title_full_unstemmed Energy Efficient Artificial Olfactory System with Integrated Sensing and Computing Capabilities for Food Spoilage Detection
title_short Energy Efficient Artificial Olfactory System with Integrated Sensing and Computing Capabilities for Food Spoilage Detection
title_sort energy efficient artificial olfactory system with integrated sensing and computing capabilities for food spoilage detection
topic artificial olfactory system
electronic nose
FET‐type gas sensor array
food spoilage detection
near‐sensor computing
nonvolatile memory (NVM) array
url https://doi.org/10.1002/advs.202302506
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