Patents by Inventor Renata Baldaszti-Juric

Renata Baldaszti-Juric has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Method of predicting a performance characteristic of a plant or yeast hydrolysate and its use
    Patent number: 11650159
    Abstract: The present invention relates to a method of predicting a performance characteristic of a plant or yeast hydrolysate, wherein a plant or yeast hydrolysate sample is measured with 2D fluorescence spectroscopy in powder form. Said method comprises the steps for providing a model based on a predetermined value of a manufacturing parameter of interest. For this purpose a training set consisting of predetermined manufacturing parameter of interest (e.g volumetric productivity parameter, virus titer or cell number) and fluorescence spectroscopic data is used. The fluorescence spectroscopic data is correlated to the values of the manufacturing parameter of interest to obtain a calibration model/model parameters by applying multivariate data analysis. This calibration model is being used to predict the manufacturing parameter of interest for new samples dedicated for the manufacturing process.
    Type: Grant
    Filed: November 25, 2019
    Date of Patent: May 16, 2023
    Assignee: TAKEDA PHARMACEUTICAL COMPANY LIMITED
    Inventors: Renata Baldaszti-Juric, Leopold Grillberger, Wolfgang Langer, Manfred Reiter
  • Method of predicting a performance characteristic of a plant or yeast hydrolysate and its use
    Patent number: 10527551
    Abstract: The present invention relates to a method of predicting a performance characteristic of a plant or yeast hydrolysate, wherein a plant or yeast hydrolysate sample is measured with 2D fluorescence spectroscopy in powder form. Said method comprises the steps for providing a model based on a predetermined value of a manufacturing parameter of interest. For this purpose a training set consisting of predetermined manufacturing parameter of interest (e.g volumetric productivity parameter, virus titer or cell number) and fluorescence spectroscopic data is used. The fluorescence spectroscopic data is correlated to the values of the manufacturing parameter of interest to obtain a calibration model/model parameters by applying multivariate data analysis. This calibration model is being used to predict the manufacturing parameter of interest for new samples dedicated for the manufacturing process.
    Type: Grant
    Filed: December 18, 2014
    Date of Patent: January 7, 2020
    Assignees: Baxalta Incorporated, Baxalta GmbH
    Inventors: Leopold Grillberger, Renata Baldaszti-Juric, Wolfgang Langer, Manfred Reiter