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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Wiley
2023-10-01
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Series: | Advanced Science |
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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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id | doaj.art-9864e803111847f6aa37e2ace34f726d |
institution | Directory Open Access Journal |
issn | 2198-3844 |
language | English |
last_indexed | 2024-03-11T15:35:16Z |
publishDate | 2023-10-01 |
publisher | Wiley |
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series | Advanced Science |
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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