Åsmund Rinnan
Associate Professor
- 2017
- Published
Predicting the ethanol potential of wheat straw using near-infrared spectroscopy and chemometrics: The challenge of inherently intercorrelated response functions
Rinnan, Åsmund, Bruun, Sander, Lindedam, J., Decker, S. R., Turner, G. B., Felby, C. & Engelsen, Søren Balling, 2017, In: Analytica Chimica Acta. 962, p. 15-23 9 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Small-Angle X-ray Scattering Data in Combination with RosettaDock Improves the Docking Energy Landscape
Sonderby, P., Rinnan, Åsmund, Madsen, J. J., Harris, P., Bukrinski, J. T. & Peters, G. H. J., 2017, In: Journal of Chemical Information and Modeling. 57, 10, p. 2463-2475 9 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
The Use of Near-Infrared (NIR) Spectroscopy and Principal Component Analysis (PCA) to Discriminate Bark and Wood of the Most Common Species of the Pellet Sector
Toscano, G., Rinnan, Åsmund, Pizzi, A. & Mancini, M., 2017, In: Energy & Fuels. 31, 3, p. 2814-2821 8 p.Research output: Contribution to journal › Journal article › Research › peer-review
- 2018
- Published
Seasonal sensitivity of Gammarus pulex towards the pyrethroid cypermethrin
Dalhoff, K., Gottardi, M., Rinnan, Åsmund, Rasmussen, J. J. & Cedergreen, Nina, 2018, In: Chemosphere. 200, p. 632-640 9 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Interaction mechanisms between polycyclic aromatic hydrocarbons (PAHs) and organic soil washing agents
Greish, S., Rinnan, Åsmund, Marcussen, H., Holm, Peter Engelund & Christensen, Jan H., 2018, In: Environmental Science and Pollution Research. 25, 1, p. 299-311 13 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Near infrared spectroscopy for the discrimination between different residues of the wood processing industry in the pellet sector
Mancini, M., Rinnan, Åsmund, Pizzi, A., Mengarelli, C., Rossini, G., Duca, D. & Toscano, G., 2018, In: Fuel. 217, p. 650-655 6 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Prediction of gross calorific value and ash content of woodchip samples by means of FT-NIR spectroscopy
Mancini, M., Rinnan, Åsmund, Pizzi, A. & Toscano, G., 2018, In: Fuel Processing Technology. 169, p. 77-83 7 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Simultaneous classification of multiple classes in NMR metabolomics and vibrational spectroscopy using interval-based classification methods: iECVA vs iPLS-DA
Rinnan, Åsmund, Savorani, F. & Engelsen, Søren Balling, 2018, In: Analytica Chimica Acta. 1021, p. 20-27 8 p.Research output: Contribution to journal › Journal article › Research › peer-review
- 2019
- Published
Novel non-linear curve fitting to resolve protein unfolding transitions in intrinsic fluorescence differential scanning fluorimetry
Augustijn, D., Mahapatra, S., Streicher, W., Svilenov, H., Kulakova, A., Pohl, C. & Rinnan, Åsmund, 2019, In: European Journal of Pharmaceutics and Biopharmaceutics. 142, p. 506-517 12 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Combined markers to assess meat intake - human metabolomic studies of discovery and validation
Cuparencu, Catalina, Rinnan, Åsmund & Dragsted, Lars Ove, 2019, In: Molecular Nutrition & Food Research. 63, 17, 11 p., 1900106.Research output: Contribution to journal › Journal article › Research › peer-review
ID: 4231304
Most downloads
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1626
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How the energy evaluation method used in the geometry optimization step affect the quality of the subsequent QSAR/QSPR models
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
302
downloads
Large increases in Arctic biogenic volatile emissions are a direct effect of warming
Research output: Contribution to journal › Letter › Research › peer-review
Published -
219
downloads
Recursive weighted PLS (rPLS): an efficient and promising multivariate method for spectral variable selection in regression
Research output: Contribution to conference › Paper › Research › peer-review
Published