@misc{12705,
  abstract     = {{This dataset contains spectroscopic measurement data and Orange project files used in the INDIN 2023 paper "A Novel Spectroscopic Approach for Vaseline Quality Discrimination".}},
  author       = {{Fliedner, Niels Hendrik and Lohweg, Volker and Pein-Hackelbusch, Miriam}},
  publisher    = {{zenodo}},
  title        = {{{Dataset for A Novel Spectroscopic Approach for Vaseline Quality Discrimination}}},
  doi          = {{10.5281/ZENODO.7782807}},
  year         = {{2023}},
}

@misc{13828,
  abstract     = {{Vaseline, also referred to as petrolatum, is a colloidal dispersion of liquid-crystalline structures of hydrocarbons derived from petroleum. It has long been recognized for its versatile applications in the pharmaceutical industry, with its use in the formulation of various topical medications, wound care products, and drug delivery systems. For pharmaceutical use, petrolatum has to meet the quality standards described in its Pharmacopoeia monograph. The comprised test ranges allow for a broad range of Vaseline qualities on the market, while the tests themselves only poorly discriminate between grades. The only differentiating properties are related to the melting behavior, which is tested via drop point analysis, and the consistency, addressed in the functionality-related characteristics section. In this study, we propose the hypothesis that Near-infrared spectroscopy (NIRS) could be a comparably simple method to evaluate the crystalline behavior of Vaseline qualities. We expect such information to provide additional details for Vaseline quality discrimination. This discrimination would allow the most suitable petroleum jelly to be selected for an existing formulation when the previous one needs to be replaced; for example, due to a manufacturer change. We demonstrate that NIRS in transmission and reflectance mode obtained by traditional continuous spectra acquisition and fragmented NIR spectra acquisition through multi-optical, multi-modal excitation, respectively, can both serve as a basis for detecting Vaseline quality differences, which we have further proven by thermal analysis and tests with semisolid formulations. Additionally, we demonstrate that a lower-cost multi-optical spectrometer in reflectance mode can detect Vaseline quality differences in rotated samples.}},
  author       = {{Fliedner, Niels Hendrik and Lohweg, Volker and Al-Karawi, Claudia and Pein-Hackelbusch, Miriam}},
  booktitle    = {{2023 IEEE 21st International Conference on Industrial Informatics (INDIN 2023)}},
  editor       = {{Dörksen, Helene and Scanzio, Stefano and Jasperneite, Jürgen and Wisniewski, Lukasz and Man, Kim Fung and Sauter, Thilo and Seno, Lucia and Trsek, Henning and Vyatkin, Valeriy}},
  isbn         = {{978-1-6654-9313-0}},
  keywords     = {{Reflectivity, Industries, Wounds, Hydrocarbons, Behavioral sciences, Thermal analysis, Sensors}},
  location     = {{Lemgo}},
  publisher    = {{IEEE}},
  title        = {{{A Novel Spectroscopic Approach for Vaseline Quality Discrimination}}},
  doi          = {{10.1109/indin51400.2023.10218318}},
  year         = {{2023}},
}

@misc{8067,
  author       = {{Fliedner, Niels Hendrik and Meier, Uwe and Neugebauer, Thomas}},
  booktitle    = {{23rd IEEE Conference on Emerging Technologies and Factory Automation - ETFA 2018}},
  publisher    = {{IEEE Conference on Emerging Technologies and Factory Automation - ETFA }},
  title        = {{{Performance Analysis of a High-Reliable Real-Time Wireless Transmission System with Near Field Coupling}}},
  year         = {{2018}},
}

@misc{8071,
  author       = {{Fliedner, Niels Hendrik and Block, Dimitri  and Meier, Uwe}},
  booktitle    = {{15th International Symposium on Wireless Communication Systems, ISWCS 2018}},
  publisher    = {{International Symposium on Wireless Communication Systems - ISWCS}},
  title        = {{{A Software-Defined Channel Sounder for Industrial Environments with Fast Time Variance}}},
  year         = {{2018}},
}