Portable Multiplexed System-Based AD5933 Impedance Analyzer: Toward Multiselective Gas Recognition
Advances on system-on-chip and organic sensors allows the development of miniaturized impedance measurement hardware for gas monitoring in Internet-of-Things (IoT). In this letter, we present the development of miniaturized, multiplexed, and connected platform for impedance spectroscopy. Designed fo...
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| Veröffentlicht in: | IEEE sensors letters 2024-07, Vol.8 (7), p.1-4 |
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| creator | Routier, Louis Wastrelin, Alexandre Cerveaux, Anthyme Foulon, Pierre Louis, Gael Horlac'h, Thomas Lmimouni, Kamel Pecqueur, Sebastien Hafsi, Bilel |
| description | Advances on system-on-chip and organic sensors allows the development of miniaturized impedance measurement hardware for gas monitoring in Internet-of-Things (IoT). In this letter, we present the development of miniaturized, multiplexed, and connected platform for impedance spectroscopy. Designed for online measurements and adapted to wireless network architectures, our platform has been tested and optimized to be used for multiselective chemical organic sensor nodes. Our designed circuit is built from low cost and low power consumption microelectronics components providing real time acquisition. The proposed system is based on ESP32 Microcontroller enabling the management of an impedance network analyzer AD5933 (Analog Devices, Norwood, MA, USA) through its I 2 C interface. Our system benefits from two multiplexer components allowing calibration process and the interface of 15 conductimetric sensors with fast acquisition (less than 90 ms per acquisition). The letter describes the microelectronics design, the impedance response over time, the measurement's sensitivity and accuracy and the testing of the platform with embedded chemical sensors for gas classification and recognition. |
| doi_str_mv | 10.1109/LSENS.2024.3415789 |
| format | Article |
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In this letter, we present the development of miniaturized, multiplexed, and connected platform for impedance spectroscopy. Designed for online measurements and adapted to wireless network architectures, our platform has been tested and optimized to be used for multiselective chemical organic sensor nodes. Our designed circuit is built from low cost and low power consumption microelectronics components providing real time acquisition. The proposed system is based on ESP32 Microcontroller enabling the management of an impedance network analyzer AD5933 (Analog Devices, Norwood, MA, USA) through its I 2 C interface. Our system benefits from two multiplexer components allowing calibration process and the interface of 15 conductimetric sensors with fast acquisition (less than 90 ms per acquisition). The letter describes the microelectronics design, the impedance response over time, the measurement's sensitivity and accuracy and the testing of the platform with embedded chemical sensors for gas classification and recognition.</description><identifier>ISSN: 2475-1472</identifier><identifier>EISSN: 2475-1472</identifier><identifier>DOI: 10.1109/LSENS.2024.3415789</identifier><identifier>CODEN: ISLECD</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Calibration ; Chemical sensors ; electronic-nose (e-nose) ; environmental monitoring ; Impedance ; Impedance measurement ; impedance measurements ; Internet of Things ; Microelectronics ; Multiplexers ; Multiplexing ; Network analysers ; organic semiconductor ; polymer sensors ; Polymers ; Power consumption ; Recognition ; Resistors ; Sensor systems ; Sensors ; System on chip ; Time measurement ; Wireless networks</subject><ispartof>IEEE sensors letters, 2024-07, Vol.8 (7), p.1-4</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2024</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c177t-763cf9e3028508a0831ab39b67a729949fb7371e08f024ef485379ed792682d83</cites><orcidid>0000-0002-0646-7512</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/10560466$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/10560466$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Routier, Louis</creatorcontrib><creatorcontrib>Wastrelin, Alexandre</creatorcontrib><creatorcontrib>Cerveaux, Anthyme</creatorcontrib><creatorcontrib>Foulon, Pierre</creatorcontrib><creatorcontrib>Louis, Gael</creatorcontrib><creatorcontrib>Horlac'h, Thomas</creatorcontrib><creatorcontrib>Lmimouni, Kamel</creatorcontrib><creatorcontrib>Pecqueur, Sebastien</creatorcontrib><creatorcontrib>Hafsi, Bilel</creatorcontrib><title>Portable Multiplexed System-Based AD5933 Impedance Analyzer: Toward Multiselective Gas Recognition</title><title>IEEE sensors letters</title><addtitle>LSENS</addtitle><description>Advances on system-on-chip and organic sensors allows the development of miniaturized impedance measurement hardware for gas monitoring in Internet-of-Things (IoT). In this letter, we present the development of miniaturized, multiplexed, and connected platform for impedance spectroscopy. Designed for online measurements and adapted to wireless network architectures, our platform has been tested and optimized to be used for multiselective chemical organic sensor nodes. Our designed circuit is built from low cost and low power consumption microelectronics components providing real time acquisition. The proposed system is based on ESP32 Microcontroller enabling the management of an impedance network analyzer AD5933 (Analog Devices, Norwood, MA, USA) through its I 2 C interface. Our system benefits from two multiplexer components allowing calibration process and the interface of 15 conductimetric sensors with fast acquisition (less than 90 ms per acquisition). The letter describes the microelectronics design, the impedance response over time, the measurement's sensitivity and accuracy and the testing of the platform with embedded chemical sensors for gas classification and recognition.</description><subject>Calibration</subject><subject>Chemical sensors</subject><subject>electronic-nose (e-nose)</subject><subject>environmental monitoring</subject><subject>Impedance</subject><subject>Impedance measurement</subject><subject>impedance measurements</subject><subject>Internet of Things</subject><subject>Microelectronics</subject><subject>Multiplexers</subject><subject>Multiplexing</subject><subject>Network analysers</subject><subject>organic semiconductor</subject><subject>polymer sensors</subject><subject>Polymers</subject><subject>Power consumption</subject><subject>Recognition</subject><subject>Resistors</subject><subject>Sensor systems</subject><subject>Sensors</subject><subject>System on chip</subject><subject>Time measurement</subject><subject>Wireless networks</subject><issn>2475-1472</issn><issn>2475-1472</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpNkE1PwkAQhjdGEwnyB4yHJp6L-9F2dr0hIpLgRwTPm207NSWlrbutir_eYjlwmpnkfSYzDyGXjI4Zo-pmuZo9r8ac8mAsAhaCVCdkwAMIfRYAPz3qz8nIuQ2llEkOVNABiV8r25i4QO-pLZq8LvAHU2-1cw1u_TvjumFyHyohvMW2xtSUCXqT0hS7X7S33rr6NjbtUYcFJk3-hd7cOO8Nk-qjzJu8Ki_IWWYKh6NDHZL3h9l6-ugvX-aL6WTpJwyg8SESSaZQUC5DKg2VgplYqDgCA1ypQGUxCGBIZdZ9ilkgQwEKU1A8kjyVYkiu-721rT5bdI3eVK3tbnVaUOCCA0RRl-J9KrGVcxYzXdt8a-xOM6r3OvW_Tr3XqQ86O-iqh3JEPALCiAbdzj_u7m-q</recordid><startdate>20240701</startdate><enddate>20240701</enddate><creator>Routier, Louis</creator><creator>Wastrelin, Alexandre</creator><creator>Cerveaux, Anthyme</creator><creator>Foulon, Pierre</creator><creator>Louis, Gael</creator><creator>Horlac'h, Thomas</creator><creator>Lmimouni, Kamel</creator><creator>Pecqueur, Sebastien</creator><creator>Hafsi, Bilel</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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In this letter, we present the development of miniaturized, multiplexed, and connected platform for impedance spectroscopy. Designed for online measurements and adapted to wireless network architectures, our platform has been tested and optimized to be used for multiselective chemical organic sensor nodes. Our designed circuit is built from low cost and low power consumption microelectronics components providing real time acquisition. The proposed system is based on ESP32 Microcontroller enabling the management of an impedance network analyzer AD5933 (Analog Devices, Norwood, MA, USA) through its I 2 C interface. Our system benefits from two multiplexer components allowing calibration process and the interface of 15 conductimetric sensors with fast acquisition (less than 90 ms per acquisition). The letter describes the microelectronics design, the impedance response over time, the measurement's sensitivity and accuracy and the testing of the platform with embedded chemical sensors for gas classification and recognition.</abstract><cop>Piscataway</cop><pub>IEEE</pub><doi>10.1109/LSENS.2024.3415789</doi><tpages>4</tpages><orcidid>https://orcid.org/0000-0002-0646-7512</orcidid></addata></record> |
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| subjects | Calibration Chemical sensors electronic-nose (e-nose) environmental monitoring Impedance Impedance measurement impedance measurements Internet of Things Microelectronics Multiplexers Multiplexing Network analysers organic semiconductor polymer sensors Polymers Power consumption Recognition Resistors Sensor systems Sensors System on chip Time measurement Wireless networks |
| title | Portable Multiplexed System-Based AD5933 Impedance Analyzer: Toward Multiselective Gas Recognition |
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