Åsmund Rinnan
Associate Professor
Chemometrics and Analytical Technology
Rolighedsvej 26
1958 Frederiksberg C
ORCID: 0000-0002-7754-7720
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Advanced and tailored applications of an efficient electrochemical approach assisted by AsLSSR-COW-rPLS and finding ways to cope with challenges arising from the nature of voltammetric data
Jalalvand, A. R., Gholivand, M., Goicoechea, H. C., Rinnan, Åsmund & Skov, T., 2015, In : Chemometrics and Intelligent Laboratory Systems. 146, p. 437-446 10 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Check-all-that-apply data analysed by Partial Least Squares regression
Rinnan, Åsmund, Giacalone, D. & Frøst, Michael Bom, 2015, In : Food Quality and Preference. 42, p. 146-153 8 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Fluorescence spectroscopy in process analytical technology (PAT): simultaneous quantification of two active pharmaceutical ingredients in a tablet formulation
Warnecke, S., Rinnan, Åsmund, Allesø, M. & Engelsen, Søren Balling, 2015, In : Applied Spectroscopy. 69, 3, p. 323-331 9 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Time domain-NMR combined with chemometrics analysis: an alternative tool for monitoring diesel fuel quality
Santos, P. M., Amais, R. S., Colnago, L. A., Rinnan, Åsmund & Monteiro, M. R., 2015, In : Energy & Fuels. 29, 4, p. 2299−2303 5 p.Research output: Contribution to journal › Journal article › Research › peer-review
ID: 4231304
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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 -
141
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Non-destructive determination of quality traits of cashew apples (Anacardium occidentale, L.) using a portable near infrared spectrophotometer
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
136
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The application of Partial Least Squares Regression for verification of product differences and important variables in consumer-based CATA profiles
Research output: Contribution to conference › Poster › Research
Published