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A customizable, low-power, wireless, embedded sensing platform for resistive nanoscale sensors
Customizable, portable, battery-operated, wireless platforms for interfacing high-sensitivity nanoscale sensors are a means to improve spatiotemporal measurement coverage of physical parameters. Such a platform can enable the expansion of IoT for environmental and lifestyle applications. Here we rep...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8760339/ https://www.ncbi.nlm.nih.gov/pubmed/35087682 http://dx.doi.org/10.1038/s41378-021-00343-1 |
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author | Nedelcu, Stefan Thodkar, Kishan Hierold, Christofer |
author_facet | Nedelcu, Stefan Thodkar, Kishan Hierold, Christofer |
author_sort | Nedelcu, Stefan |
collection | PubMed |
description | Customizable, portable, battery-operated, wireless platforms for interfacing high-sensitivity nanoscale sensors are a means to improve spatiotemporal measurement coverage of physical parameters. Such a platform can enable the expansion of IoT for environmental and lifestyle applications. Here we report a platform capable of acquiring currents ranging from 1.5 nA to 7.2 µA full-scale with 20-bit resolution and variable sampling rates of up to 3.125 kSPS. In addition, it features a bipolar voltage programmable in the range of −10 V to +5 V with a 3.65 mV resolution. A Finite State Machine steers the system by executing a set of embedded functions. The FSM allows for dynamic, customized adjustments of the nanosensor bias, including elevated bias schemes for self-heating, measurement range, bandwidth, sampling rate, and measurement time intervals. Furthermore, it enables data logging on external memory (SD card) and data transmission over a Bluetooth low energy connection. The average power consumption of the platform is 64.5 mW for a measurement protocol of three samples per second, including a BLE advertisement of a 0 dBm transmission power. A state-of-the-art (SoA) application of the platform performance using a CNT nanosensor, exposed to NO(2) gas concentrations from 200 ppb down to 1 ppb, has been demonstrated. Although sensor signals are measured for NO(2) concentrations of 1 ppb, the 3σ limit of detection (LOD) of 23 ppb is determined (1σ: 7 ppb) in slope detection mode, including the sensor signal variations in repeated measurements. The platform’s wide current range and high versatility make it suitable for signal acquisition from resistive nanosensors such as silicon nanowires, carbon nanotubes, graphene, and other 2D materials. Along with its overall low power consumption, the proposed platform is highly suitable for various sensing applications within the context of IoT. |
format | Online Article Text |
id | pubmed-8760339 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-87603392022-01-26 A customizable, low-power, wireless, embedded sensing platform for resistive nanoscale sensors Nedelcu, Stefan Thodkar, Kishan Hierold, Christofer Microsyst Nanoeng Article Customizable, portable, battery-operated, wireless platforms for interfacing high-sensitivity nanoscale sensors are a means to improve spatiotemporal measurement coverage of physical parameters. Such a platform can enable the expansion of IoT for environmental and lifestyle applications. Here we report a platform capable of acquiring currents ranging from 1.5 nA to 7.2 µA full-scale with 20-bit resolution and variable sampling rates of up to 3.125 kSPS. In addition, it features a bipolar voltage programmable in the range of −10 V to +5 V with a 3.65 mV resolution. A Finite State Machine steers the system by executing a set of embedded functions. The FSM allows for dynamic, customized adjustments of the nanosensor bias, including elevated bias schemes for self-heating, measurement range, bandwidth, sampling rate, and measurement time intervals. Furthermore, it enables data logging on external memory (SD card) and data transmission over a Bluetooth low energy connection. The average power consumption of the platform is 64.5 mW for a measurement protocol of three samples per second, including a BLE advertisement of a 0 dBm transmission power. A state-of-the-art (SoA) application of the platform performance using a CNT nanosensor, exposed to NO(2) gas concentrations from 200 ppb down to 1 ppb, has been demonstrated. Although sensor signals are measured for NO(2) concentrations of 1 ppb, the 3σ limit of detection (LOD) of 23 ppb is determined (1σ: 7 ppb) in slope detection mode, including the sensor signal variations in repeated measurements. The platform’s wide current range and high versatility make it suitable for signal acquisition from resistive nanosensors such as silicon nanowires, carbon nanotubes, graphene, and other 2D materials. Along with its overall low power consumption, the proposed platform is highly suitable for various sensing applications within the context of IoT. Nature Publishing Group UK 2022-01-14 /pmc/articles/PMC8760339/ /pubmed/35087682 http://dx.doi.org/10.1038/s41378-021-00343-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Nedelcu, Stefan Thodkar, Kishan Hierold, Christofer A customizable, low-power, wireless, embedded sensing platform for resistive nanoscale sensors |
title | A customizable, low-power, wireless, embedded sensing platform for resistive nanoscale sensors |
title_full | A customizable, low-power, wireless, embedded sensing platform for resistive nanoscale sensors |
title_fullStr | A customizable, low-power, wireless, embedded sensing platform for resistive nanoscale sensors |
title_full_unstemmed | A customizable, low-power, wireless, embedded sensing platform for resistive nanoscale sensors |
title_short | A customizable, low-power, wireless, embedded sensing platform for resistive nanoscale sensors |
title_sort | customizable, low-power, wireless, embedded sensing platform for resistive nanoscale sensors |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8760339/ https://www.ncbi.nlm.nih.gov/pubmed/35087682 http://dx.doi.org/10.1038/s41378-021-00343-1 |
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