Partial least square regression method for the detection of polycyclic aromatic hydrocarbons in the soil environment using laser-induced fluorescence spectroscopy

Water, Air, and Soil Pollution

Volumn 158, Issue 1, 2004, Pages 261-275

  Lee, C K ^a   Ko, E J ^a   Kim, K W ^a   Kim, Y J ^a  

^a Gwangju Institute of Science and Technology (GIST)   (South Korea)

Author keywords

laser induced fluorescence; multivariate calibration; partial least square regression; polycyclic aromatic hydrocarbons

Indexed keywords

DIFFUSE REFLECTANCE; LASER-INDUCED FLUORESCENCE (LIF) SPECTROSCOPY; MULTIVARIATE CHEMOMETRIC ANALYSIS; PARTIAL LEAST SQUARE (PLS) REGRESSION METHOD;

ALGORITHMS; DATA REDUCTION; ERROR ANALYSIS; FLUORESCENCE; HIGH PERFORMANCE LIQUID CHROMATOGRAPHY; LASER APPLICATIONS; MATHEMATICAL MODELS; MOISTURE; REFLECTION; REGRESSION ANALYSIS; SOILS;

POLYCYCLIC AROMATIC HYDROCARBONS;

PHENANTHRENE; POLYCYCLIC AROMATIC HYDROCARBON; PYRENE;

LASER INDUCED FLUORESCENCE; PAH; POLLUTION MONITORING; SOIL POLLUTION; SPECTROSCOPY;

ARTICLE; CARCINOGENICITY; CHEMOMETRICS; CLAY; CONCENTRATION (PARAMETERS); CORRELATION COEFFICIENT; DATA ANALYSIS; DIFFUSE REFLECTANCE SPECTROSCOPY; DIFFUSION; ERROR; FLUORESCENCE SPECTROSCOPY; HIGH PERFORMANCE LIQUID CHROMATOGRAPHY; LASER; MEASUREMENT; MOISTURE; MULTIVARIATE ANALYSIS; QUANTITATIVE ANALYSIS; SAND; SOIL; STATISTICS;

EID: 6044253716     PISSN: 00496979     EISSN: None     Source Type: Journal    
DOI: 10.1023/B:WATE.0000044858.39836.e2     Document Type: Article

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