Aqueous Ammonia Sensor with Neuromorphic Detection
Abstract A hybrid inorganic–organic neuromorphic sensor utilizing a thin film zinc oxide (ZnO) detector with organic neuromorphic pre‐processing is developed to quantify ammonia in aqueous environments, including biological analytes. Impedimetric ZnO sensor, connected to an organic somatic circuit,...
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| Format: | Article |
| Language: | English |
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Wiley-VCH
2024-12-01
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| Series: | Advanced Electronic Materials |
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| Online Access: | https://doi.org/10.1002/aelm.202400509 |
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| author | Kateryna Vyshniakova Mohammad Javad Mirshojaeian Hosseini Huiwen Bai Masoome Fatahi Victor Marco Rocha Malacco Shawn S Donkin Richard M Voyles Robert A. Nawrocki |
| author_facet | Kateryna Vyshniakova Mohammad Javad Mirshojaeian Hosseini Huiwen Bai Masoome Fatahi Victor Marco Rocha Malacco Shawn S Donkin Richard M Voyles Robert A. Nawrocki |
| author_sort | Kateryna Vyshniakova |
| collection | DOAJ |
| description | Abstract A hybrid inorganic–organic neuromorphic sensor utilizing a thin film zinc oxide (ZnO) detector with organic neuromorphic pre‐processing is developed to quantify ammonia in aqueous environments, including biological analytes. Impedimetric ZnO sensor, connected to an organic somatic circuit, reliably and accurately detects changes in electrical impedance to measure and quantify variations in the concentration of ammonia. The sensing mechanism of the ZnO thin film sensor is hypothesized to be the cause of the decrease in resistance of a solution with an increase in ammonia concentration. It is found that the surface oxide of the ZnO layer reacts with even very low concentrations of ammonia (NH3), leading to changes in resistivity. This makes the sensor capable of detecting ammonia in a range of concentrations between 0.0001 and 0.1 M. A neuromorphic circuit converts the analog change of ammonia concentration expressed as a change of sensor impedance to the digitized frequency of spikes. Detecting such a low ammonia concentration is critical for environmental monitoring and medical diagnosis. The digitized nature of neuromorphic signal pre‐processing makes it more resilient for signal transmission in the presence of noise and serves as a demonstration of “smart sensing.” |
| format | Article |
| id | doaj-art-56835e19fdea4ab3ba094691fc25930d |
| institution | OA Journals |
| issn | 2199-160X |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Wiley-VCH |
| record_format | Article |
| series | Advanced Electronic Materials |
| spelling | doaj-art-56835e19fdea4ab3ba094691fc25930d2025-08-20T02:26:51ZengWiley-VCHAdvanced Electronic Materials2199-160X2024-12-011012n/an/a10.1002/aelm.202400509Aqueous Ammonia Sensor with Neuromorphic DetectionKateryna Vyshniakova0Mohammad Javad Mirshojaeian Hosseini1Huiwen Bai2Masoome Fatahi3Victor Marco Rocha Malacco4Shawn S Donkin5Richard M Voyles6Robert A. Nawrocki7School of Engineering Technology, Purdue Polytechnic Institute Purdue University West Lafayette IN 47906 United States of AmericaSchool of Engineering Technology, Purdue Polytechnic Institute Purdue University West Lafayette IN 47906 United States of AmericaSchool of Engineering Technology, Purdue Polytechnic Institute Purdue University West Lafayette IN 47906 United States of AmericaSchool of Engineering Technology, Purdue Polytechnic Institute Purdue University West Lafayette IN 47906 United States of AmericaDepartment of Animal Science, College of Agriculture Purdue University West Lafayette IN 47907 United States of AmericaDepartment of Animal Science, College of Agriculture Purdue University West Lafayette IN 47907 United States of AmericaSchool of Engineering Technology, Purdue Polytechnic Institute Purdue University West Lafayette IN 47906 United States of AmericaSchool of Engineering Technology, Purdue Polytechnic Institute Purdue University West Lafayette IN 47906 United States of AmericaAbstract A hybrid inorganic–organic neuromorphic sensor utilizing a thin film zinc oxide (ZnO) detector with organic neuromorphic pre‐processing is developed to quantify ammonia in aqueous environments, including biological analytes. Impedimetric ZnO sensor, connected to an organic somatic circuit, reliably and accurately detects changes in electrical impedance to measure and quantify variations in the concentration of ammonia. The sensing mechanism of the ZnO thin film sensor is hypothesized to be the cause of the decrease in resistance of a solution with an increase in ammonia concentration. It is found that the surface oxide of the ZnO layer reacts with even very low concentrations of ammonia (NH3), leading to changes in resistivity. This makes the sensor capable of detecting ammonia in a range of concentrations between 0.0001 and 0.1 M. A neuromorphic circuit converts the analog change of ammonia concentration expressed as a change of sensor impedance to the digitized frequency of spikes. Detecting such a low ammonia concentration is critical for environmental monitoring and medical diagnosis. The digitized nature of neuromorphic signal pre‐processing makes it more resilient for signal transmission in the presence of noise and serves as a demonstration of “smart sensing.”https://doi.org/10.1002/aelm.202400509inorganic–organic hybridneuromorphic pre‐processingorganic neuromorphicssensor |
| spellingShingle | Kateryna Vyshniakova Mohammad Javad Mirshojaeian Hosseini Huiwen Bai Masoome Fatahi Victor Marco Rocha Malacco Shawn S Donkin Richard M Voyles Robert A. Nawrocki Aqueous Ammonia Sensor with Neuromorphic Detection Advanced Electronic Materials inorganic–organic hybrid neuromorphic pre‐processing organic neuromorphics sensor |
| title | Aqueous Ammonia Sensor with Neuromorphic Detection |
| title_full | Aqueous Ammonia Sensor with Neuromorphic Detection |
| title_fullStr | Aqueous Ammonia Sensor with Neuromorphic Detection |
| title_full_unstemmed | Aqueous Ammonia Sensor with Neuromorphic Detection |
| title_short | Aqueous Ammonia Sensor with Neuromorphic Detection |
| title_sort | aqueous ammonia sensor with neuromorphic detection |
| topic | inorganic–organic hybrid neuromorphic pre‐processing organic neuromorphics sensor |
| url | https://doi.org/10.1002/aelm.202400509 |
| work_keys_str_mv | AT katerynavyshniakova aqueousammoniasensorwithneuromorphicdetection AT mohammadjavadmirshojaeianhosseini aqueousammoniasensorwithneuromorphicdetection AT huiwenbai aqueousammoniasensorwithneuromorphicdetection AT masoomefatahi aqueousammoniasensorwithneuromorphicdetection AT victormarcorochamalacco aqueousammoniasensorwithneuromorphicdetection AT shawnsdonkin aqueousammoniasensorwithneuromorphicdetection AT richardmvoyles aqueousammoniasensorwithneuromorphicdetection AT robertanawrocki aqueousammoniasensorwithneuromorphicdetection |