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Arnulf Materny
Researcher at Jacobs University Bremen
Publications - 130
Citations - 3482
Arnulf Materny is an academic researcher from Jacobs University Bremen. The author has contributed to research in topics: Raman spectroscopy & Femtosecond. The author has an hindex of 32, co-authored 123 publications receiving 3011 citations. Previous affiliations of Arnulf Materny include California Institute of Technology & International University, Cambodia.
Papers
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Visible Raman spectroscopy for the discrimination of olive oils from different vegetable oils and the detection of adulteration
TL;DR: In this article, the authors investigated the potential of Raman spectroscopy with excitation in the visible spectral range (VIS Raman) as a tool for the classification of different vegetable oils and the quantification of adulteration of virgin olive oil as an example.
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Femtosecond time-resolved coherent anti-Stokes Raman scattering for the simultaneous study of ultrafast ground and excited state dynamics: iodine vapour
TL;DR: In this article, a femtosecond time-resolved coherent anti-Stokes Raman scattering (CARS) was applied in order to investigate molecular dynamics in the gas phase.
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Surface enhanced Raman scattering (SERS)—a quantitative analytical tool?
M. Sackmann,Arnulf Materny +1 more
TL;DR: In this article, the reproducibility of the signal intensities for a given substance concentration is questionable when deploying silver sols as SERS substrates, and results of an investigation of this problem for low concentrations of adenine are presented.
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Synthesis and optical characterization of nanocrystalline NiFe2O4 structures
TL;DR: In this paper, NiFe2O4 nanostructures, derived from thermal decomposition of the gel precursor, were characterized by X-ray diffraction (XRD), Fourier transform infrared (FTIR), field emission scanning electron micrographs (FESEM) and UV-vis absorption spectroscopy.
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Fast determination of milk fat content using Raman spectroscopy
TL;DR: In this article, the authors demonstrated the capability of VIS Raman spectroscopy in combination with partial least square regression (PLS) as a rapid technique for direct milk fat determination.