Cargando…
Piezoresistive Membrane Surface Stress Sensors for Characterization of Breath Samples of Head and Neck Cancer Patients
For many diseases, where a particular organ is affected, chemical by-products can be found in the patient’s exhaled breath. Breath analysis is often done using gas chromatography and mass spectrometry, but interpretation of results is difficult and time-consuming. We performed characterization of pa...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4970191/ https://www.ncbi.nlm.nih.gov/pubmed/27455276 http://dx.doi.org/10.3390/s16071149 |
_version_ | 1782445932664586240 |
---|---|
author | Lang, Hans Peter Loizeau, Frédéric Hiou-Feige, Agnès Rivals, Jean-Paul Romero, Pedro Akiyama, Terunobu Gerber, Christoph Meyer, Ernst |
author_facet | Lang, Hans Peter Loizeau, Frédéric Hiou-Feige, Agnès Rivals, Jean-Paul Romero, Pedro Akiyama, Terunobu Gerber, Christoph Meyer, Ernst |
author_sort | Lang, Hans Peter |
collection | PubMed |
description | For many diseases, where a particular organ is affected, chemical by-products can be found in the patient’s exhaled breath. Breath analysis is often done using gas chromatography and mass spectrometry, but interpretation of results is difficult and time-consuming. We performed characterization of patients’ exhaled breath samples by an electronic nose technique based on an array of nanomechanical membrane sensors. Each membrane is coated with a different thin polymer layer. By pumping the exhaled breath into a measurement chamber, volatile organic compounds present in patients’ breath diffuse into the polymer layers and deform the membranes by changes in surface stress. The bending of the membranes is measured piezoresistively and the signals are converted into voltages. The sensor deflection pattern allows one to characterize the condition of the patient. In a clinical pilot study, we investigated breath samples from head and neck cancer patients and healthy control persons. Evaluation using principal component analysis (PCA) allowed a clear distinction between the two groups. As head and neck cancer can be completely removed by surgery, the breath of cured patients was investigated after surgery again and the results were similar to those of the healthy control group, indicating that surgery was successful. |
format | Online Article Text |
id | pubmed-4970191 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-49701912016-08-04 Piezoresistive Membrane Surface Stress Sensors for Characterization of Breath Samples of Head and Neck Cancer Patients Lang, Hans Peter Loizeau, Frédéric Hiou-Feige, Agnès Rivals, Jean-Paul Romero, Pedro Akiyama, Terunobu Gerber, Christoph Meyer, Ernst Sensors (Basel) Article For many diseases, where a particular organ is affected, chemical by-products can be found in the patient’s exhaled breath. Breath analysis is often done using gas chromatography and mass spectrometry, but interpretation of results is difficult and time-consuming. We performed characterization of patients’ exhaled breath samples by an electronic nose technique based on an array of nanomechanical membrane sensors. Each membrane is coated with a different thin polymer layer. By pumping the exhaled breath into a measurement chamber, volatile organic compounds present in patients’ breath diffuse into the polymer layers and deform the membranes by changes in surface stress. The bending of the membranes is measured piezoresistively and the signals are converted into voltages. The sensor deflection pattern allows one to characterize the condition of the patient. In a clinical pilot study, we investigated breath samples from head and neck cancer patients and healthy control persons. Evaluation using principal component analysis (PCA) allowed a clear distinction between the two groups. As head and neck cancer can be completely removed by surgery, the breath of cured patients was investigated after surgery again and the results were similar to those of the healthy control group, indicating that surgery was successful. MDPI 2016-07-22 /pmc/articles/PMC4970191/ /pubmed/27455276 http://dx.doi.org/10.3390/s16071149 Text en © 2016 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 Lang, Hans Peter Loizeau, Frédéric Hiou-Feige, Agnès Rivals, Jean-Paul Romero, Pedro Akiyama, Terunobu Gerber, Christoph Meyer, Ernst Piezoresistive Membrane Surface Stress Sensors for Characterization of Breath Samples of Head and Neck Cancer Patients |
title | Piezoresistive Membrane Surface Stress Sensors for Characterization of Breath Samples of Head and Neck Cancer Patients |
title_full | Piezoresistive Membrane Surface Stress Sensors for Characterization of Breath Samples of Head and Neck Cancer Patients |
title_fullStr | Piezoresistive Membrane Surface Stress Sensors for Characterization of Breath Samples of Head and Neck Cancer Patients |
title_full_unstemmed | Piezoresistive Membrane Surface Stress Sensors for Characterization of Breath Samples of Head and Neck Cancer Patients |
title_short | Piezoresistive Membrane Surface Stress Sensors for Characterization of Breath Samples of Head and Neck Cancer Patients |
title_sort | piezoresistive membrane surface stress sensors for characterization of breath samples of head and neck cancer patients |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4970191/ https://www.ncbi.nlm.nih.gov/pubmed/27455276 http://dx.doi.org/10.3390/s16071149 |
work_keys_str_mv | AT langhanspeter piezoresistivemembranesurfacestresssensorsforcharacterizationofbreathsamplesofheadandneckcancerpatients AT loizeaufrederic piezoresistivemembranesurfacestresssensorsforcharacterizationofbreathsamplesofheadandneckcancerpatients AT hioufeigeagnes piezoresistivemembranesurfacestresssensorsforcharacterizationofbreathsamplesofheadandneckcancerpatients AT rivalsjeanpaul piezoresistivemembranesurfacestresssensorsforcharacterizationofbreathsamplesofheadandneckcancerpatients AT romeropedro piezoresistivemembranesurfacestresssensorsforcharacterizationofbreathsamplesofheadandneckcancerpatients AT akiyamaterunobu piezoresistivemembranesurfacestresssensorsforcharacterizationofbreathsamplesofheadandneckcancerpatients AT gerberchristoph piezoresistivemembranesurfacestresssensorsforcharacterizationofbreathsamplesofheadandneckcancerpatients AT meyerernst piezoresistivemembranesurfacestresssensorsforcharacterizationofbreathsamplesofheadandneckcancerpatients |