Detection of respiratory inflammation biomarkers in non-processed exhaled breath condensate samples using reduced graphene oxide-Reference-Cited by-同舟云学术

Detection of respiratory inflammation biomarkers in non-processed exhaled breath condensate samples using reduced graphene oxide

Published:2022 Issue:55 Volume:12 Page:35627-35638
ISSN:2046-2069
Container-title:RSC Advances
language:en
Short-container-title:RSC Adv.

Author:

Gholizadeh Azam¹^ORCID,Black Kathleen²,Kipen Howard²,Laumbach Robert²,Gow Andrew³,Weisel Clifford²,Javanmard Mehdi¹

Affiliation:

1. Department of Electrical and Computer Engineering, Rutgers University, Piscataway, NJ 08854, USA

2. Environmental Occupational Health Sciences Institute, Rutgers University, Piscataway, NJ 08854, USA

3. Ernest Mario School of Pharmacy, Rutgers University, Piscataway, NJ 08854, USA

Abstract

In this work, we studied several important parameters regarding the standardization of a portable sensor of nitrite, a key biomarker of inflammation in the respiratory tract in untreated EBC samples.

Funder

National Institute of Environmental Health Sciences

Rutgers, The State University of New Jersey

Publisher

Royal Society of Chemistry (RSC)

Subject

General Chemical Engineering,General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2022/RA/D2RA05764F

Reference54 articles.

1. Exhaled breath condensate: methodological recommendations and unresolved questions

2. Determination of aldehydes in human breath by on-fibre derivatization, solid-phase microextraction and GC–MS

3. A profile of volatile organic compounds in breath discriminates COPD patients from controls

4. Determination of aldehydes in exhaled breath of patients with lung cancer by means of on-fiber-derivatisation SPME–GC/MS

5. Increased nitric oxide metabolites in exhaled breath condensate after exposure to tobacco smoke

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