Multivariate optimization of a green procedure for determination of emerging polycyclic aromatic nitrogen heterocycles in PM 2.5 from sites with different characteristics

Emerging polycyclic aromatic nitrogen heterocycles (PANHs) contributes significantly to the health risk associated with inhaling polluted air. However, there is a lack of analytical methods with the needed performance to their determination. This study presents the optimization and validation for th...

Full description

Saved in:
Bibliographic Details
Published in:Analytical and bioanalytical chemistry 2023-08
Main Authors: Bahia, Pedro Victor Bomfim, de Oliveira, Valdiria Almeida, Nascimento, Madson Moreira, Santos, Leila Oliveira, da Rocha, Gisele Olimpio, de Andrade, Jailson Bittencourt, Machado, Maria Elisabete
Format: Article
Language:English
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Emerging polycyclic aromatic nitrogen heterocycles (PANHs) contributes significantly to the health risk associated with inhaling polluted air. However, there is a lack of analytical methods with the needed performance to their determination. This study presents the optimization and validation for the first time of a green microscale extraction procedure for the determination of twenty-one PANHs, including carbazole, indole, and quinolone classes, in particulate matter (PM ) samples by gas chromatography-mass spectrometry. A simplex-centroid mixture design and full factorial design (2 ) were employed to optimize the following extraction parameters: type and volume of solvent, sample size, extraction time, and necessity of a cleanup step. Low limits of detection and quantification (LOD 
ISSN:1618-2650