F
Frans van den Berg
Researcher at University of Copenhagen
Publications - 104
Citations - 8084
Frans van den Berg is an academic researcher from University of Copenhagen. The author has contributed to research in topics: Raman spectroscopy & Fouling. The author has an hindex of 32, co-authored 103 publications receiving 6769 citations. Previous affiliations of Frans van den Berg include University of Amsterdam & Luleå University of Technology.
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Journal ArticleDOI
Gut Microbiota in Human Adults with Type 2 Diabetes Differs from Non-Diabetic Adults
Nadja Larsen,Finn K. Vogensen,Frans van den Berg,Dennis Sandris Nielsen,Anne Sofie Andreasen,Bente Klarlund Pedersen,Waleed Abu Al-Soud,Søren J. Sørensen,Lars Hestbjerg Hansen,Mogens Jakobsen +9 more
TL;DR: The results of this study indicate that type 2 diabetes in humans is associated with compositional changes in intestinal microbiota and the level of glucose tolerance should be considered when linking microbiota with metabolic diseases such as obesity and developing strategies to control metabolic diseases by modifying the gut microbiota.
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Review of the most common pre-processing techniques for near-infrared spectra
TL;DR: This review describes and compares the theoretical and algorithmic foundations of current pre- processing methods plus the qualitative and quantitative consequences of their application to provide NIR users with better end-models through fundamental knowledge on spectral pre-processing.
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Correlation optimized warping and dynamic time warping as preprocessing methods for chromatographic data
TL;DR: For the data presented here dynamic time warping with rigid slope constraints and correlation optimized warping are superior to unconstrained dynamic time Warping; both considerably simplify interpretation of the factor model results.
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Automated alignment of chromatographic data
TL;DR: An approach to automate the alignment of chromatographic data based on peak alignment or warping is proposed, which deals with selection of the required parameters including selection of reference sample to warp towards, and chooses warping settings based on a new evaluation criterion for goodness of correction.
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Metabolomic studies on geographical grapes and their wines using 1H NMR analysis coupled with multivariate statistics
Hong-Seok Son,Geum-Sook Hwang,Ki Myong Kim,Hyuk-Jin Ahn,Won-Mok Park,Frans van den Berg,Young-Shick Hong,Cherl-Ho Lee +7 more
TL;DR: This study demonstrates that (1)H NMR-based metabolomics coupled with multivariate statistical data sets can be useful for determining grape and wine quality.