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Quantitative detection of nitric oxide in exhaled human breath by extractive electrospray ionization mass spectrometry
Exhaled nitric oxide (eNO) is a useful biomarker of various physiological conditions, including asthma and other pulmonary diseases. Herein a fast and sensitive analytical method has been developed for the quantitative detection of eNO based on extractive electrospray ionization mass spectrometry (E...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4348632/ https://www.ncbi.nlm.nih.gov/pubmed/25735640 http://dx.doi.org/10.1038/srep08725 |
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author | Pan, Susu Tian, Yong Li, Ming Zhao, Jiuyan Zhu, Lanlan Zhang, Wei Gu, Haiwei Wang, Haidong Shi, Jianbo Fang, Xiang Li, Penghui Chen, Huanwen |
author_facet | Pan, Susu Tian, Yong Li, Ming Zhao, Jiuyan Zhu, Lanlan Zhang, Wei Gu, Haiwei Wang, Haidong Shi, Jianbo Fang, Xiang Li, Penghui Chen, Huanwen |
author_sort | Pan, Susu |
collection | PubMed |
description | Exhaled nitric oxide (eNO) is a useful biomarker of various physiological conditions, including asthma and other pulmonary diseases. Herein a fast and sensitive analytical method has been developed for the quantitative detection of eNO based on extractive electrospray ionization mass spectrometry (EESI-MS). Exhaled NO molecules selectively reacted with 2-phenyl-4, 4, 5, 5-tetramethylimidazoline-1-oxyl-3-oxide (PTIO) reagent, and eNO concentration was derived based on the EESI-MS response of 1-oxyl-2-phenyl-4, 4, 5, 5-tetramethylimidazoline (PTI) product. The method allowed quantification of eNO below ppb level (~0.02 ppbv) with a relative standard deviation (RSD) of 11.6%. In addition, eNO levels of 20 volunteers were monitored by EESI-MS over the time period of 10 hrs. Long-term eNO response to smoking a cigarette was recorded, and the observed time-dependent profile was discussed. This work extends the application of EESI-MS to small molecules (<30 Da) with low proton affinity and collision-induced dissociation efficiency, which are usually poorly visible by conventional ion trap mass spectrometers. Long-term quantitative profiling of eNO by EESI-MS opens new possibilities for the research of human metabolism and clinical diagnosis. |
format | Online Article Text |
id | pubmed-4348632 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-43486322015-03-10 Quantitative detection of nitric oxide in exhaled human breath by extractive electrospray ionization mass spectrometry Pan, Susu Tian, Yong Li, Ming Zhao, Jiuyan Zhu, Lanlan Zhang, Wei Gu, Haiwei Wang, Haidong Shi, Jianbo Fang, Xiang Li, Penghui Chen, Huanwen Sci Rep Article Exhaled nitric oxide (eNO) is a useful biomarker of various physiological conditions, including asthma and other pulmonary diseases. Herein a fast and sensitive analytical method has been developed for the quantitative detection of eNO based on extractive electrospray ionization mass spectrometry (EESI-MS). Exhaled NO molecules selectively reacted with 2-phenyl-4, 4, 5, 5-tetramethylimidazoline-1-oxyl-3-oxide (PTIO) reagent, and eNO concentration was derived based on the EESI-MS response of 1-oxyl-2-phenyl-4, 4, 5, 5-tetramethylimidazoline (PTI) product. The method allowed quantification of eNO below ppb level (~0.02 ppbv) with a relative standard deviation (RSD) of 11.6%. In addition, eNO levels of 20 volunteers were monitored by EESI-MS over the time period of 10 hrs. Long-term eNO response to smoking a cigarette was recorded, and the observed time-dependent profile was discussed. This work extends the application of EESI-MS to small molecules (<30 Da) with low proton affinity and collision-induced dissociation efficiency, which are usually poorly visible by conventional ion trap mass spectrometers. Long-term quantitative profiling of eNO by EESI-MS opens new possibilities for the research of human metabolism and clinical diagnosis. Nature Publishing Group 2015-03-04 /pmc/articles/PMC4348632/ /pubmed/25735640 http://dx.doi.org/10.1038/srep08725 Text en Copyright © 2015, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder in order to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Pan, Susu Tian, Yong Li, Ming Zhao, Jiuyan Zhu, Lanlan Zhang, Wei Gu, Haiwei Wang, Haidong Shi, Jianbo Fang, Xiang Li, Penghui Chen, Huanwen Quantitative detection of nitric oxide in exhaled human breath by extractive electrospray ionization mass spectrometry |
title | Quantitative detection of nitric oxide in exhaled human breath by extractive electrospray ionization mass spectrometry |
title_full | Quantitative detection of nitric oxide in exhaled human breath by extractive electrospray ionization mass spectrometry |
title_fullStr | Quantitative detection of nitric oxide in exhaled human breath by extractive electrospray ionization mass spectrometry |
title_full_unstemmed | Quantitative detection of nitric oxide in exhaled human breath by extractive electrospray ionization mass spectrometry |
title_short | Quantitative detection of nitric oxide in exhaled human breath by extractive electrospray ionization mass spectrometry |
title_sort | quantitative detection of nitric oxide in exhaled human breath by extractive electrospray ionization mass spectrometry |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4348632/ https://www.ncbi.nlm.nih.gov/pubmed/25735640 http://dx.doi.org/10.1038/srep08725 |
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