Method Validation and Characterization of the Associated Uncertainty for Malondialdehyde Quantification in Exhaled Breath Condensate

There are several methods for quantifying malondialdehyde (MDA), an oxidative stress biomarker, in exhaled breath condensate (EBC). However, due to the very diluted nature of this biological matrix, a high variability is observed at low concentrations. We aimed to optimize a 2,4-dinitrophenylhydrazi...

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Autores principales:	Maud Hemmendinger, Jean-Jacques Sauvain, Nancy B. Hopf, Pascal Wild, Guillaume Suárez, Irina Guseva Canu
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	malondialdehyde oxidative stress biomarkers uncertainty exhaled breath condensate Therapeutics. Pharmacology RM1-950
Acceso en línea:	https://doaj.org/article/b5358fd8076e4e29847fa830baa40c6a
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spelling	oai:doaj.org-article:b5358fd8076e4e29847fa830baa40c6a2021-11-25T16:25:34ZMethod Validation and Characterization of the Associated Uncertainty for Malondialdehyde Quantification in Exhaled Breath Condensate10.3390/antiox101116612076-3921https://doaj.org/article/b5358fd8076e4e29847fa830baa40c6a2021-10-01T00:00:00Zhttps://www.mdpi.com/2076-3921/10/11/1661https://doaj.org/toc/2076-3921There are several methods for quantifying malondialdehyde (MDA), an oxidative stress biomarker, in exhaled breath condensate (EBC). However, due to the very diluted nature of this biological matrix, a high variability is observed at low concentrations. We aimed to optimize a 2,4-dinitrophenylhydrazine-based method using liquid chromatography coupled to tandem mass spectrometry and characterize the uncertainty associated with this method. We investigated the following parameters for the method validation: calibration linearity, limit of detection (LOD), precision, recovery, and matrix effect. The results were used to identify the main sources of uncertainty and calculating the combined uncertainty. The applicability of this method was evaluated in an ongoing epidemiological study by analyzing 164 EBC samples collected from different professional groups in subway environments. The optimized method was sensitive (LOD: 70 pg/mL), precise (inter-day variation < 19%) and accurate (recovery range: 92–106.5%). The calculated analytical uncertainty was the highest at the LOQ level and reached 23%. Although the analytical uncertainty was high at low MDA concentrations, it was significantly lower than that the observed inter-individual variability. Hence, this method performs sufficiently well and can be recommended for future use in epidemiological researches relying on between-subject differences.Maud HemmendingerJean-Jacques SauvainNancy B. HopfPascal WildGuillaume SuárezIrina Guseva CanuMDPI AGarticlemalondialdehydeoxidative stress biomarkersuncertaintyexhaled breath condensateTherapeutics. PharmacologyRM1-950ENAntioxidants, Vol 10, Iss 1661, p 1661 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	malondialdehyde oxidative stress biomarkers uncertainty exhaled breath condensate Therapeutics. Pharmacology RM1-950
spellingShingle	malondialdehyde oxidative stress biomarkers uncertainty exhaled breath condensate Therapeutics. Pharmacology RM1-950 Maud Hemmendinger Jean-Jacques Sauvain Nancy B. Hopf Pascal Wild Guillaume Suárez Irina Guseva Canu Method Validation and Characterization of the Associated Uncertainty for Malondialdehyde Quantification in Exhaled Breath Condensate
description	There are several methods for quantifying malondialdehyde (MDA), an oxidative stress biomarker, in exhaled breath condensate (EBC). However, due to the very diluted nature of this biological matrix, a high variability is observed at low concentrations. We aimed to optimize a 2,4-dinitrophenylhydrazine-based method using liquid chromatography coupled to tandem mass spectrometry and characterize the uncertainty associated with this method. We investigated the following parameters for the method validation: calibration linearity, limit of detection (LOD), precision, recovery, and matrix effect. The results were used to identify the main sources of uncertainty and calculating the combined uncertainty. The applicability of this method was evaluated in an ongoing epidemiological study by analyzing 164 EBC samples collected from different professional groups in subway environments. The optimized method was sensitive (LOD: 70 pg/mL), precise (inter-day variation < 19%) and accurate (recovery range: 92–106.5%). The calculated analytical uncertainty was the highest at the LOQ level and reached 23%. Although the analytical uncertainty was high at low MDA concentrations, it was significantly lower than that the observed inter-individual variability. Hence, this method performs sufficiently well and can be recommended for future use in epidemiological researches relying on between-subject differences.
format	article
author	Maud Hemmendinger Jean-Jacques Sauvain Nancy B. Hopf Pascal Wild Guillaume Suárez Irina Guseva Canu
author_facet	Maud Hemmendinger Jean-Jacques Sauvain Nancy B. Hopf Pascal Wild Guillaume Suárez Irina Guseva Canu
author_sort	Maud Hemmendinger
title	Method Validation and Characterization of the Associated Uncertainty for Malondialdehyde Quantification in Exhaled Breath Condensate
title_short	Method Validation and Characterization of the Associated Uncertainty for Malondialdehyde Quantification in Exhaled Breath Condensate
title_full	Method Validation and Characterization of the Associated Uncertainty for Malondialdehyde Quantification in Exhaled Breath Condensate
title_fullStr	Method Validation and Characterization of the Associated Uncertainty for Malondialdehyde Quantification in Exhaled Breath Condensate
title_full_unstemmed	Method Validation and Characterization of the Associated Uncertainty for Malondialdehyde Quantification in Exhaled Breath Condensate
title_sort	method validation and characterization of the associated uncertainty for malondialdehyde quantification in exhaled breath condensate
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/b5358fd8076e4e29847fa830baa40c6a
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Method Validation and Characterization of the Associated Uncertainty for Malondialdehyde Quantification in Exhaled Breath Condensate

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