Journal
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
Volume 190, Issue -, Pages 342-346Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.saa.2017.09.061
Keywords
Polycyclic aromatic hydrocarbons (PARS); Two-dimensional fluorescence correlation spectroscopy; Environment contamination; Anthracene; Pyrene
Categories
Funding
- Natural Science Foundation of China Committee [41771357, 81471698]
- Tianjin Science and Technology Development Fund of Higher School [20140621]
- Natural Science Foundation of Tianjin [16JCQNJC08200, 14JCYBJC30400]
- Education Reform and Innovation Development Funds of Tianjin Agricultural University [20170202]
Ask authors/readers for more resources
A new approach for quantitative determination of polycyclic aromatic hydrocarbons (PAHs) in environment was proposed based on two-dimensional (2D) fluorescence correlation spectroscopy in conjunction with multivariate method. 40 mixture solutions of anthracene and pyrene were prepared in the laboratory. Excitation emission matrix (EEM) fluorescence spectra of all samples were collected. And 2D fluorescence correlation spectra were calculated under the excitation perturbation. The N-way partial least squares (N-PLS) models were developed based on 2D fluorescence correlation spectra, showing a root mean square error of calibration (RMSEC) of 3.50 mu g L-1 and root mean square error of prediction (RMSEP) of 4.42 mu g L-1 for anthracene and of 3.61 mu g L-1 and 4.29 mu g L-1 for pyrene, respectively. Also, the N-PLS models were developed for quantitative analysis of anthracene and pyrene using EEM fluorescence spectra. The RMSEC and RMSEP were 3.97 mu g L-1 and 4.63 mu g L-1 for anthracene, 4.46 mu g L-1 and 4.52 mu g L-1 for pyrene, respectively. It was found that the N-PLS model using 2D fluorescence correlation spectra could provide better results comparing with EEM fluorescence spectra because of its low RMSEC and RMSEP. The methodology proposed has the potential to be an alternative method for detection of PAHs in environment. (C) 2017 Published by Elsevier B.V.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available