Abstract:
A method for analyzing a sample, the method comprising the steps of providing a spectral data representation (1) of the sample, where the spectral data representation is in the form an image representation of spectral data obtained from the sample, providing a data processing device (2) and a learning data architecture (3), making (200) the spectral data representation (1) available to the data processing device (2), and analyzing (300, 500, 800), by means of the learning data architecture (3) and the data processing device (2), the spectral data representation (1) made available to the data processing device (2) to determine one or more physicochemical properties of the sample.
Abstract:
A method of determining a constituent related sample property of a multi-constituent sample comprising: subjecting the sample to a perturbation selected to induce a time dependent change in measurement data associated with a constituent related to the sample property to be determined; recording a time-series of measurement data following subjecting the sample to the perturbation; and determining the sample property from the application to the recorded time-series of measurement data of a calibration correlating the sample property with time-series of measurement data, said calibration being empirically derived from chemometric time-series modelling of time-series measurement data recorded for each of a plurality of reference samples following subjecting each reference sample to the perturbation, each reference sample having a different known values of the sample property.
Abstract:
A method of determining a constituent related sample property of a multi-constituent sample comprising: subjecting the sample to a perturbation selected to induce a time dependent change in measurement data associated with a constituent related to the sample property to be determined; recording a time-series of measurement data following subjecting the sample to the perturbation; and determining the sample property from the application to the recorded time-series of measurement data of a calibration correlating the sample property with time-series of measurement data, said calibration being empirically derived from chemometric time-series modelling of time-series measurement data recorded for each of a plurality of reference samples following subjecting each reference sample to the perturbation, each reference sample having a different known values of the sample property.