Partial least squares-near infrared determination of pesticides in commercial formulations |
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| Affiliation: | 1. Department of Physics, SCE⬝Shamoon College of Engineering, Beer-Sheva 84100, Israel;2. Department of Physics, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel;3. Department of Medicine, University of Virginia, Charlottesville, VA 22901, USA;4. Surgery B Department, Soroka University Medical Center, Faculty of Health Sciences, Ben-Gurion University, Beer-Sheva 84101, Israel;1. Faculty of Foundry Engineering, AGH University of Science and Technology, 30-059 Krakow, Poland;2. Academic Centre for Materials and Nanotechnology, AGH University of Science and Technology, 30-059 Krakow, Poland;3. Department of Chemistry, Hankuk University of Foreign Studies, Yongin, Kyunggi-Do 449-791, Republic of Korea;1. Department of Neurobiology, Institute of Pharmacology, Polish Academy of Sciences, Smętna 12, 31-343 Kraków, Poland;2. Faculty of Foundry Engineering, AGH University of Science and Technology, ul. Reymonta 23, 30-059 Kraków, Poland;3. Institute of Nuclear Physics, Polish Academy of Science, 31-342 Krakow, Poland;4. Faculty of Chemistry, Jagiellonian University, ul. Ingardena 3, 30-060 Kraków, Poland;5. Department of Chemistry, Hankuk University of Foreign Studies, Yongin, Kyunggi-Do, 449-791, South Korea;1. Dipartimento di Scienze Fisiche e Chimiche, Università dell’Aquila, Via Vetoio 2, 67100, Coppito, L’Aquila, Italy;2. Sorbonne Universities, UPMC, Laboratoire de Réactivité de Surface UMR CNRS 7197, Tour 43-53, 3rd floor, 4 Pl. Jussieu, 75005, Paris, France;3. Service de Bioénergétique, Biologie Structurale et Mécanismes (SB2SM) CEA, iBiTec-S, Biochimie Biophysique et Biologie Structurale (B3S), I2BC, UMR 9198, F-91191 Gif-sur-Yvette, France |
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| Abstract: | ![]()
A solvent free, fast and environmentally friendly near infrared-based methodology (NIR) was developed for pesticide determination in commercially available formulations. This methodology was based on the direct measurement of the diffuse reflectance spectra of solid samples and a multivariate calibration model (partial least squares, PLS) to determine the active principle concentration in commercial formulations. The PLS calibration set was built on using the spiked samples by mixing different amounts of pesticide standards and powdered samples. Buprofezin, Diuron and Daminozide were used as test analytes. Concentration of Buprofezin in the samples was calculated employing a 4-factors PLS calibration using the spectral information in the range between 2231–2430 and 1657–1784 nm. For Diuron determination a 1-factor PLS calibration model using the spectral range 1110–2497 nm, after a linear removed correction. Daminozide determination was carried out employing a 4-factors PLS model using the spectral information in the ranges 1644–1772 and 2014–2607 nm without baseline correction. The root mean square errors of prediction (RMSEP) found were 1.1, 1.7 and 0.7% (w/w) for Buprofezin, Diuron and Daminozide determination, respectively. The developed PLS-NIR procedure allows the determination of 120 samples/h, does not require any sample pre-treatment and avoids waste generation. |
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