34 Papers
65 Citations
Peter Kaul is an academic researcher from Bonn-Rhein-Sieg University of Applied Sciences. The author has contributed to research in topics: Chemistry & Computer science. The author has an hindex of 8, co-authored 26 publications. Previous affiliations of Peter Kaul include University of Giessen.
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Papers
Differentiation of meat-related microorganisms using paper-based surface-enhanced Raman spectroscopy combined with multivariate statistical analysis.
René Breuch,Daniel Klein,Eleni Siefke,Martin Hebel,Ulrike Herbert,Claudia Wickleder,Peter Kaul +6 more
TL;DR: The analysis showed that the differentiation of meat-associated microorganisms and thereby the detection of important meat-related pathogenic bacteria was successful on genera level and a cross-validation as well as a classification of ungrouped data showed promising results.
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Detection of Volatile Organic Compounds Arising from Chicken Breast Filets Under Modified Atmosphere Packaging Using TD-GC/MS
TL;DR: In this article, a study aimed to detect volatile organic compounds (VOCs) during spoilage of chicken breast filets under modified atmosphere packaging (MAP, (70% O2; 30% CO2)).
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Detection of spoilage associated bacteria using Raman-microspectroscopy combined with multivariate statistical analysis
TL;DR: To estimate and classify the Raman-spectroscopic data at genera and strain level an adequate preprocessing together with a subsequent chemometric evaluation consisting of principal component analysis and discriminant analysis was used.
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In vitro discrimination and classification of Microbial Flora of Poultry using two dispersive Raman spectrometers (microscope and Portable Fiber-Optic systems) in tandem with chemometric analysis.
TL;DR: The results reflect the strong discrim inative power and the high performance of the developed models, the suitability of the pre-processing method used in this study and that the low accuracy of the Portable Fiber-Optic Raman system does not adversely affect the discriminative power of the develop models.
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Rapid Poultry Spoilage Evaluation Using Portable Fiber-Optic Raman Spectrometer
TL;DR: In this paper, a portable fiber-optic Raman spectrometer was used to evaluate the freshness of poultry fillets during storage using principal components analysis (PCA).
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