Inhaltsstoffe im Hustensaft

Marten, Silvia; Harms, Jonny

doi:10.1002/nadc.20050530545

Cited by 1 publication

(2 citation statements)

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“…Indeed the range and complexity of problems that can be solved by analytical spectroscopy may be increased with chemometrics, which is a relatively new discipline for mining (management, analysis, and visualization of large data sets) and extracting relevant physical and chemical information from extensive and complex multivariate data such as spectroscopic measurements: EDXRF spectra carry various (explicit and implicit) signatures on the properties of analyzed sample matrices.…”

Section: Introductionmentioning

confidence: 99%

“…[7] However, because all the elements present in complex light element matrices contribute to scattering, [8] the measured EDXRF scatter peaks may be used to derive information about the overall matrix composition when analyzed using appropriate multivariate chemometric calibration techniques. [9][10][11][12][13] Indeed the range and complexity of problems that can be solved by analytical spectroscopy may be increased with chemometrics, [14,15] which is a relatively new discipline for mining (management, analysis, and visualization of large data sets) and extracting relevant physical and chemical information from extensive and complex multivariate data such as spectroscopic measurements: EDXRF spectra carry various (explicit and implicit) signatures on the properties of analyzed sample matrices.…”

Section: Introductionmentioning

confidence: 99%

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Feasibility for chemometric energy dispersive X‐ray fluorescence and scattering (EDXRFS) spectroscopy method for rapid soil quality assessment

et al. 2011

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Soil quality assessment (SQA) is important for modulating agricultural productivity and thus requires simple and rapid analysis of soil (macro & micro) nutrients (here called soil quality indicators – SQIs). We report proof of concept of a chemometrics‐assisted energy dispersive X‐ray fluorescence and scattering (EDXRFS) spectroscopy technique for direct rapid analysis of SQIs. The EDXRFS method exploits, in addition to fluorescence, the X‐ray scatter peaks obtained non‐invasively from soils to develop a calibration strategy for quantitative analysis of SQIs in model clay soils doped with micronutrients (Fe, Cu, and Zn) and macronutrients (NO3−, SO42−, and H2PO4−). The soil samples and certified reference materials IAEA Soil‐7 and IAEA Soil‐1 (used to build spectral library for soil classification) were irradiated at various live times (to simulate different signal‐to‐noise ratios of analyte signals and analysis speed) in a teflon holder and were analyzed using a 109Cd‐excited XRF spectrometer. Principal components analysis was used for spectral data compression and pattern recognition (including for those SQI spectral signatures without any visibly discernible characteristic X‐ray lines), whereas partial least squares regression and artificial neural networks were used to build a calibration and quantitative analysis strategy. The method furnishes soil micronutrient and macronutrient information simultaneously and rapidly (t = 200 s). To the best of the authors' knowledge, this is the first time that an XRF method has demonstrated spectroanalytical potential for quantitative macronutrients analysis in soils applicable to routine SQA. Coupling EDXRFS with multivariate chemometrics enables rapid and reliable assessment of chemical SQIs. Copyright © 2011 John Wiley & Sons, Ltd.

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Section: Introductionmentioning

confidence: 99%