METHOD AND SYSTEM FOR ANALYSING A SAMPLE BASED ON DATA

    公开(公告)号:US20240328939A1

    公开(公告)日:2024-10-03

    申请号:US18579745

    申请日:2022-07-18

    Applicant: SENORICS GMBH

    CPC classification number: G01N21/359 G01N2201/129

    Abstract: The invention relates to a method for analyzing a sample based on data generated by a measuring instrument divided into N channels. The method the following method steps: i. acquiring measurement data y(x) with at least one set of the N channels of the measuring instrument in a range of x overlapping between the selected channels; ii. selecting a value xj from the overlapping range of x; iii. determining coefficients quantifying the respective share of the selected channels in the total response ytot(xj) recorded at xj; and iv. repeating steps ii. and iii. for M values (I).

    SYSTEMS AND METHODS FOR DETECTING FOODBORNE PATHOGENS BY ANALYZING SPECTRAL DATA

    公开(公告)号:US20240019378A1

    公开(公告)日:2024-01-18

    申请号:US18346749

    申请日:2023-07-03

    CPC classification number: G01N21/78 G01N21/31 G01N33/02 G01N2201/129

    Abstract: An example method includes receiving a first set of values based on a set of intensity measurements. The set of intensity measurements may be obtained by a light intensity measuring apparatus that measured intensities of light that passed through a sample of a food processing byproduct. A second set of values based on the first set of values may be generated. A set of trained decision trees may be applied to the second set of values to obtain a result. Based on the result, either a positive foodborne pathogen detection or a negative foodborne pathogen detection for a foodborne pathogen in the sample of the food processing byproduct may be determined. A foodborne pathogen detection notification that indicates either the positive foodborne pathogen detection or the negative foodborne pathogen detection for the foodborne pathogen in the sample of the food processing byproduct may be generated and provided.

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