Near Infrared Reflectance Spectroscopy as a Tool to Predict Pesticide Sorption in Soil

We used near infrared reflectance spectroscopy (NIR) combined with chemometric methods to predict the sorption of lindane and linuron to 27 agricultural soils from Sweden. The NIR predictions were calibrated by principal component analysis (PCA) of the NIR spectra and sorption data obtained using th...

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Bibliographic Details
Published inBulletin of environmental contamination and toxicology Vol. 78; no. 5; pp. 295 - 298
Main Authors Bengtsson, S, Berglöf, T, Kylin, H
Format Journal Article
LanguageEnglish
Published United States New York : Springer-Verlag 01.05.2007
Springer Nature B.V
Subjects
Adsorption
Chemometrics
leaching
lindane
Lindane - analysis
Lindane - chemistry
linuron
Linuron - analysis
Linuron - chemistry
Partial least squares regression
Pesticides - analysis
Pesticides - chemistry
principal component analysis
Soil - analysis
Soil binding
Soil Pollutants - analysis
Soil Pollutants - chemistry
Spectroscopy, Near-Infrared
Spectrum analysis
Sweden
Sweden
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Summary:We used near infrared reflectance spectroscopy (NIR) combined with chemometric methods to predict the sorption of lindane and linuron to 27 agricultural soils from Sweden. The NIR predictions were calibrated by principal component analysis (PCA) of the NIR spectra and sorption data obtained using the batch equilibrium technique. Partial least square regression PLSR of the NIR data could predict 85% of the soil sorption (K d) for lindane and 84% for linuron, respectively. The results indicate that NIR can be used as a rapid and simple method to predict pesticide sorption to and leaching from soils.
Bibliography:http://dx.doi.org/10.1007/s00128-007-9167-x
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ISSN:0007-4861
1432-0800
DOI:10.1007/s00128-007-9167-x