Yun DU, Ya-nan ZHENG, Shu-tao WANG. Fluorescence detection of polycyclic aromatic hydrocarbon pollutants based on second-order calibration methods[J]. Optics and precision engineering, 2018, 26(9): 2212-2221.
DOI:
Yun DU, Ya-nan ZHENG, Shu-tao WANG. Fluorescence detection of polycyclic aromatic hydrocarbon pollutants based on second-order calibration methods[J]. Optics and precision engineering, 2018, 26(9): 2212-2221. DOI: 10.3788/OPE.20182609.2212.
Fluorescence detection of polycyclic aromatic hydrocarbon pollutants based on second-order calibration methods
In order to achieve qualitative identification and quantitative analysis of complex systems of Polycyclic Aromatic Hydrocarbons (PAHs)
fluorescence detection based on second-order calibration methods was proposed. The spectral data of complex systems of PAHs were identified and decomposed by exploiting second-order calibration methods to analyze three-dimensional fluorescence data. The fluorescence spectra of acenaphthene (ANA)
naphthalene (NAP)
and their mixture were obtained using a FS920 steady-state fluorescence spectrometer. Analysis of their fluorescence spectra revealed a characteristic fluorescence peak of NAP at
λ
ex
/
λ
em
=290/322 nm and the existence of two characteristic fluorescence peaks for ANA at
λ
ex
/
λ
em
=290/322 nm and
λ
ex
/
λ
em
=290/336 nm. The results indicate that the fluorescence spectra of ANA and NAP overlap significantly. Moreover
when the concentration ratios are different
the fluorescence characteristics of the mixture are different. Second-order calibration methods combined with three-dimensional fluorescence spectroscopy was applied to precisely detect the concentration of the solution. Parallel factor analysis (PARAFAC) and self-weighted alternating trilinear decomposition (SWATLD) were adopted to decompose the spectral data. The experimental results show that both algorithms exhibit a high resolution for the mixture of NAP and ANA
and the average recovery rate is between 95% and 99% with a root mean square error less than 0.2
μ
g/L. However
the SWATLD algorithm shows a better detection result.
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