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On-Line Mixture Quantification to Track Temporal Change of Composition Using FAIMS
This paper reports on-line mixture quantification with FAIMS. Ternary gas mixtures composed of acetone, ethanol, and diethyl ether were used for quantification. We succeeded in an on-line quantification of ppm-level concentration and even sub-ppm-level gases using the gradient descent method. It too...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6960543/ https://www.ncbi.nlm.nih.gov/pubmed/31835545 http://dx.doi.org/10.3390/s19245442 |
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author | Yokoshiki, Yasufumi Nakamoto, Takamichi |
author_facet | Yokoshiki, Yasufumi Nakamoto, Takamichi |
author_sort | Yokoshiki, Yasufumi |
collection | PubMed |
description | This paper reports on-line mixture quantification with FAIMS. Ternary gas mixtures composed of acetone, ethanol, and diethyl ether were used for quantification. We succeeded in an on-line quantification of ppm-level concentration and even sub-ppm-level gases using the gradient descent method. It took 10 minutes to quantify the ternary mixture. However, it was too long, because we aim to track the temporal change of each component concentration in the mixture. Then, an algorithm based on feedback control was introduced to reduce the quantification time. The feedback method successfully tracked concentrations in three cases. The simulation result shows that the proposed method can reduce the quantification time. |
format | Online Article Text |
id | pubmed-6960543 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-69605432020-01-23 On-Line Mixture Quantification to Track Temporal Change of Composition Using FAIMS Yokoshiki, Yasufumi Nakamoto, Takamichi Sensors (Basel) Article This paper reports on-line mixture quantification with FAIMS. Ternary gas mixtures composed of acetone, ethanol, and diethyl ether were used for quantification. We succeeded in an on-line quantification of ppm-level concentration and even sub-ppm-level gases using the gradient descent method. It took 10 minutes to quantify the ternary mixture. However, it was too long, because we aim to track the temporal change of each component concentration in the mixture. Then, an algorithm based on feedback control was introduced to reduce the quantification time. The feedback method successfully tracked concentrations in three cases. The simulation result shows that the proposed method can reduce the quantification time. MDPI 2019-12-10 /pmc/articles/PMC6960543/ /pubmed/31835545 http://dx.doi.org/10.3390/s19245442 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Yokoshiki, Yasufumi Nakamoto, Takamichi On-Line Mixture Quantification to Track Temporal Change of Composition Using FAIMS |
title | On-Line Mixture Quantification to Track Temporal Change of Composition Using FAIMS |
title_full | On-Line Mixture Quantification to Track Temporal Change of Composition Using FAIMS |
title_fullStr | On-Line Mixture Quantification to Track Temporal Change of Composition Using FAIMS |
title_full_unstemmed | On-Line Mixture Quantification to Track Temporal Change of Composition Using FAIMS |
title_short | On-Line Mixture Quantification to Track Temporal Change of Composition Using FAIMS |
title_sort | on-line mixture quantification to track temporal change of composition using faims |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6960543/ https://www.ncbi.nlm.nih.gov/pubmed/31835545 http://dx.doi.org/10.3390/s19245442 |
work_keys_str_mv | AT yokoshikiyasufumi onlinemixturequantificationtotracktemporalchangeofcompositionusingfaims AT nakamototakamichi onlinemixturequantificationtotracktemporalchangeofcompositionusingfaims |