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Using Multiple Calibration Sets to Improve the Quantitative Accuracy of Partial Least Squares (PLS) Regression on Open-Path Fourier Transform Infrared (OP/FT-IR) Spectra of Ammonia over Wide Concentration Ranges NWISRL
Shao, Limin; Bianxia, Liu; Griffiths R, Peter; Leytem, A.B..
A technique of using multiple calibration sets in partial least squares regression (PLS) was proposed to improve the quantitative determination of ammonia from open-path Fourier transform infrared spectra. The spectra were measured near animal farms, and the path-integrated concentration of ammonia fluctuated from nearly zero to a high of about 1000 ppm-m. The PLS regression using a single calibration set over such a large concentration range had decreased quantitative accuracy due to the nonlinear relationship between concentration and absorbance. In the PLS regression with multiple calibration sets, each calibration set accounted for a smaller concentration range, which significantly decreased the serious nonlinearity problem in PLS regression with a...
Tipo: Article Palavras-chave: Air Emissions; Manure.
Ano: 2011 URL: http://eprints.nwisrl.ars.usda.gov/1428/1/1398.pdf
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