Search Results - Tonolini, Margherita

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  1. 1
    On-Line Monitoring of Enzymatic Degumming of Soybean Oil Using Near-Infrared Spectroscopy

    On-Line Monitoring of Enzymatic Degumming of Soybean Oil Using Near-Infrared Spectroscopy by Tonolini, Margherita, Wawrzynczyk, Joanna, Nielsen, Per Munk, Engelsen, Søren Balling

    Published in Applied spectroscopy
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  2. 2
    UV spectroscopy as a quantitative monitoring tool in a dairy side-stream fractionation process

    UV spectroscopy as a quantitative monitoring tool in a dairy side-stream fractionation process by Tonolini, Margherita, Skou, Peter Bæk, van den Berg, Frans W.J.

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  3. 3
    Prediction of α-Lactalbumin and β-Lactoglobulin Composition of Aqueous Whey Solutions Using Fourier Transform Mid-Infrared Spectroscopy and Near-Infrared Spectroscopy

    Prediction of α-Lactalbumin and β-Lactoglobulin Composition of Aqueous Whey Solutions Using Fourier Transform Mid-Infrared Spectroscopy and Near-Infrared Spectroscopy by Tonolini, Margherita, Sørensen, Klavs Martin, Skou, Peter B., Ray, Colin, Engelsen, Søren Balling

    Published in Applied spectroscopy
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  4. 4
    Near-infrared spectroscopy as a process analytical technology tool for monitoring performance of membrane filtration in a whey protein fractionation process

    Near-infrared spectroscopy as a process analytical technology tool for monitoring performance of membrane filtration in a whey protein fractionation process by Tonolini, Margherita, van den Berg, Frans W.J., Skou, Peter Bæk, Sørensen, Klavs Martin, Engelsen, Søren Balling

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  5. 5
    Multivariate approach for the authentication of vanilla using infrared and Raman spectroscopy

    Multivariate approach for the authentication of vanilla using infrared and Raman spectroscopy by Jiménez-Carvelo, Ana M., Tonolini, Margherita, McAleer, Orla, Cuadros-Rodríguez, Luis, Granato, Daniel, Koidis, Anastasios

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  6. 6
    Unbiased prediction errors for partial least squares regression models: Choosing a representative error estimator for process monitoring

    Unbiased prediction errors for partial least squares regression models: Choosing a representative error estimator for process monitoring by Skou, Peter B, Tonolini, Margherita, Eskildsen, Carl Emil, Berg, Frans van den, Rasmussen, Morten Arendt

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  7. 7
    Unbiased prediction errors for partial least squares regression models: Choosing a representative error estimator for process monitoring

    Unbiased prediction errors for partial least squares regression models: Choosing a representative error estimator for process monitoring by Skou, Peter B, Tonolini, Margherita, Eskildsen, Carl Emil Aae, Berg, Frans van den, Rasmussen, Morten Arendt

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