@article{Elbers1993,
  author    = {Elbers, Gereon},
  title     = {Messung von Ruß in der Außenluft - Praktische Erfahrungen und Meßergebnisse aus NRW},
  series = {Aktuelle Aufgaben der Messtechnik in der Luftreinhaltung : Kolloquium Heidelberg, 2. bis 4. Juni 1993 / Kommission Reinhaltung der Luft im VDI und DIN},
  journal   = {Aktuelle Aufgaben der Messtechnik in der Luftreinhaltung : Kolloquium Heidelberg, 2. bis 4. Juni 1993 / Kommission Reinhaltung der Luft im VDI und DIN},
  publisher = {VDI-Verl.},
  address   = {D{\"u}sseldorf},
  isbn      = {3-18-091059-3},
  pages     = {337},
  year      = {1993},
  language  = {de}
}
@book{Elbers2004,
  author    = {Elbers, Gereon},
  title     = {Entwicklung eines Schnellmessverfahrens zur Charakterisierung der Wirkung von Umweltschadstoffen auf Pflanzen mit der Nahinfrarot-Spektroskopie : Schlussbericht zum Forschungsvorhaben ; Vorhabensbezeichnung: Schnellmessverfahren zur Charakterisierung der Wirkung von Umweltschadstoffen ; Laufzeit des Vorhabens: 01.09.2002 bis 29.02.2004 ; Verl{\"a}ngerung der Laufzeit: 01.03.2004 bis 30.04.04 ; Berichtszeitraum: 01.09.2002 bis 30.04.2004 / Zuwendungsempf{\"a}nger: FH-Aachen, Abt. J{\"u}lich, FB Chemie und Biotechnik. Gereon Elbers},
  publisher = {Fachhochschule Aachen},
  address   = {J{\"u}lich},
  pages     = {Online-Ressource (17 S., 85,3 KB)},
  year      = {2004},
  language  = {de}
}
@article{Elbers2009,
  author    = {Elbers, Gereon},
  title     = {Identification of marker peptides in hair for discrimination with regard to species and breed / Koerner, Andrea ; Ring, Maike ; Fabry, Marlies ; Elbers, Gereon ; Moeller, Martin},
  series = {Proceedings of the Aachen-Dresden International Textile Conference, 3rd, Aachen, Germany, Nov. 26-27, 2009},
  journal   = {Proceedings of the Aachen-Dresden International Textile Conference, 3rd, Aachen, Germany, Nov. 26-27, 2009},
  publisher = {DWI},
  address   = {Aachen},
  pages     = {1 CD-ROM},
  year      = {2009},
  language  = {en}
}
@article{DruckenmuellerGuentherElbers2018,
  author    = {Druckenm{\"u}ller, Katharina and G{\"u}nther, Klaus and Elbers, Gereon},
  title     = {Near-infrared spectroscopy (NIRS) as a tool to monitor exhaust air from poultry operations},
  series = {Science of the Total Environment},
  volume    = {630},
  journal   = {Science of the Total Environment},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {0048-9697},
  doi       = {10.1016/j.scitotenv.2018.02.072},
  pages     = {536 -- 543},
  year      = {2018},
  abstract  = {Intensive poultry operation systems emit a considerable volume of inorganic and organic matter in the surrounding environment. Monitoring cleaning properties of exhaust air cleaning systems and to detect small but significant changes in emission characteristics during a fattening cycle is important for both emission and fattening process control. In the present study, we evaluated the potential of near-infrared spectroscopy (NIRS) combined with chemometric techniques as a monitoring tool of exhaust air from poultry operation systems. To generate a high-quality data set for evaluation, the exhaust air of two poultry houses was sampled by applying state-of-the-art filter sampling protocols. The two stables were identical except for one crucial difference, the presence or absence of an exhaust air cleaning system. In total, twenty-one exhaust air samples were collected at the two sites to monitor spectral differences caused by the cleaning device, and to follow changes in exhaust air characteristics during a fattening period. The total dust load was analyzed by gravimetric determination and included as a response variable in multivariate data analysis. The filter samples were directly measured with NIR spectroscopy. Principal component analysis (PCA), linear discriminant analysis (LDA), and factor analysis (FA) were effective in classifying the NIR exhaust air spectra according to fattening day and origin. The results indicate that the dust load and the composition of exhaust air (inorganic or organic matter) substantially influence the NIR spectral patterns. In conclusion, NIR spectroscopy as a tool is a promising and very rapid way to detect differences between exhaust air samples based on still not clearly defined circumstances triggered during a fattening period and the availability of an exhaust air cleaning system.},
  language  = {en}
}