Unknown

Dataset Information

Calibration Approaches for Measurement of Aerosol Multielemental Concentration using Spark Emission Spectroscopy.


ABSTRACT: A multivariate calibration approach, using partial least squares regression, has been developed for measurement of aerosol elemental concentration. A training set consisting of 25 orthogonal aerosol samples with 9 factors (elements: Cr, Mn, Fe, Ni, Cu, Zn, Cd, Pb, Ti) and 5 levels (elemental concentrations) was designed. Spectral information was obtained for each aerosol sample using aerosol spark emission spectroscopy (ASES) at a time resolution of 1 minute. Simultaneous filter samples were collected for determination of elemental concentration using an inductively coupled plasma mass spectrometry (ICP-MS) analysis. Two regression models, PLS1 and PLS2, were developed to predict mass concentration from spectral measurements. Prediction ability of the models improved substantially when onl

SUBMITTER: Zheng L 

PROVIDER: S-EPMC9170181 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature