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L

L. Quick

Researcher at University of Münster

Publications -  12
Citations -  165

L. Quick is an academic researcher from University of Münster. The author has contributed to research in topics: Certified reference materials & Sorting. The author has an hindex of 7, co-authored 12 publications receiving 156 citations.

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NIR - Remote-Sensing and Artificial Neural Networks for Rapid Identification of Post Consumer Plastics

TL;DR: An imaging spectrometer with a 256 element InGaAs diode array was combined with a high throughput optical arrangement for recording high quality NIR spectra (824 nm to 1700 nm) of plastics from a distance of 25 cm within 6.3 milliseconds as mentioned in this paper.
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Comparison of an adaptive resonance theory based neural network ( ART-2a) against other classifiers for rapid sorting of post consumer plastics by remote near-infrared spectroscopic sensing using an InGaAs diode array

TL;DR: It has been found by a cross validation scheme that MLF-BP networks show a slightly better discrimination power than ART-2a networks and both types of artificial neural networks perform significantly better than the SIMCA method.
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Investigations for the determination of lead by in situ hydride trapping within a graphite electrothermal atomizer for routine analysis

TL;DR: A new commercial system consisting of a flow injection analysis system for hydride generation coupled with a transversely heated graphite atomizer-atomic absorption spectrometer for the determination of lead is investigated in detail, showing the efficiency of the method in combination with decomposition with aqua regia solutions.
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Simultaneous multielement determination in complex matrices using frequency-modulated electrothermal atomic absorption spectrometry

TL;DR: In this paper, the simultaneous multielement atomic absorption spectrometric (FREMSAAS) determination of cadmium and lead, iron and chromium, and cooper and manganese in several complex matrices is presented.
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Fast Identification of Packaging Waste by near Infrared Spectroscopy with an InGaAs Array Spectrograph Combined with Neural Networks

TL;DR: An optical set-up consisting of a high-throughput NIR spectrometer with an InGaAs array (800 nm to 1700 nm) and a specially designed collection optics was used to record spectra from post consumer packages (PE, PET, PP, PS and a cardboard-plastic compound) located on an industrial conveyor belt with an integration time of 6.3 milliseconds per sample.