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    ANALYTE DETECTION SYSTEM
    5.
    发明申请
    ANALYTE DETECTION SYSTEM 有权

    公开(公告)号：US20230073825A1

    公开(公告)日：2023-03-09

    申请号：US17794524

    申请日：2021-01-27

    申请人： UNIVERSITY OF THE WEST OF ENGLAND, BRISTOL

    发明人： Olena DORAN ,  Adrian CREW ,  John P HART ,  Kelly WESTMACOTT

    IPC分类号： G01N27/333 ,  G01N27/07 ,  G01N27/27 ,  G01N27/28 ,  G01N33/12

    摘要： The invention relates to a system for detecting one or more analytes in a sample. The system comprises a probe for insertion into the sample, the probe having a first electrochemical sensor configured to detect a first analyte in the sample, and a second electrochemical sensor configured to detect a second analyte in the sample. A first potentiostat is connected to the first electrochemical sensor and configured to perform a first electrochemical measurement with the first electrochemical sensor. Additionally, a second potentiostat is connected to the second electrochemical sensor and configured to perform a second electrochemical measurement with the second electrochemical sensor. The first potentiostat and the second potentiostat are electrically isolated from one another.

    METHODS AND SYSTEMS FOR ASSESSING QUALITY OF A MEAT PRODUCT
    6.
    发明申请
    METHODS AND SYSTEMS FOR ASSESSING QUALITY OF A MEAT PRODUCT 有权

    公开(公告)号：US20230066038A1

    公开(公告)日：2023-03-02

    申请号：US17974207

    申请日：2022-10-26

    申请人： MEQ PROBE PTY LTD

    发明人： Andrew GRANT ,  Remo CARBONE ,  Mark HUTCHINSON

    IPC分类号： G01N21/64 ,  G01N33/12

    摘要： The present disclosure relates to methods and systems for assessing the quality of a meat product. In certain embodiments, the present disclosure provides a method of assessing quality of a meat product, the method comprising receiving data representative of light emitted from the meat product upon application of incident light to the meat product, analysing the data to determine one or more parameters indicative of quality of the meat product, and assessing the quality of the meat product on the basis of the one or more parameters.

    METHOD FOR IDENTIFYING RAW MEAT AND HIGH-QUALITY FAKE MEAT BASED ON GRADUAL LINEAR ARRAY CHANGE OF COMPONENT
    7.
    发明申请
    METHOD FOR IDENTIFYING RAW MEAT AND HIGH-QUALITY FAKE MEAT BASED ON GRADUAL LINEAR ARRAY CHANGE OF COMPONENT 有权

    公开(公告)号：US20230053185A1

    公开(公告)日：2023-02-16

    申请号：US17606053

    申请日：2021-08-24

    申请人： Jiangsu University

    发明人： Jiyong SHI ,  Xiaobo ZOU ,  Yueying WANG ,  Xiaowei HUANG ,  Zhihua LI ,  Xinai ZHANG ,  Di ZHANG

    IPC分类号： G01N33/12 ,  G06T7/00

    摘要： The present invention relates to the technical field of identification on adulterated meat, and in particular, to a method for identifying raw meat and high-quality fake meat based on a gradual linear array change of a component. The present invention spatially characterizes changing rules of featured components in the meat with the utilization of sensitivities of the visible/near-infrared spectral signals to changes of the components in the meat and the advantage that spectral scanning can acquire optical signals of the samples spatially and consecutively, further constructs the identification model according to differences in components and spectra of a region of interest in the hyperspectral image by taking a derivative for characterizing rates of change of the featured components.

    Integrated rapid non-destructive detection system for multi-index of meat quality
    8.
    发明授权
    Integrated rapid non-destructive detection system for multi-index of meat quality 有权

    公开(公告)号：US11555811B1

    公开(公告)日：2023-01-17

    申请号：US17661557

    申请日：2022-05-01

    申请人： INSTITUTE OF FOOD SCIENCE AND TECHNOLOGY, CHINESE ACADEMY OF AGRICULTURAL SCIENCE

    发明人： Dequan Zhang ,  Xiaochun Zheng ,  Li Chen ,  Shaobo Li ,  Xin Li ,  Chengli Hou

    IPC分类号： G01N33/12 ,  G01N21/3563 ,  G01N21/359

    摘要： An integrated rapid non-destructive detection system for multi-index of meat quality comprises a spectrometer for obtaining near-infrared spectra of a sample; an industrial tablet computer, comprising: a model embedding module for storing multiple prediction models; a model determining module connected with model embedding module and configured to call prediction model; an index prediction module connected with spectrometer and model determining module for receiving near-infrared spectra and predicting index data of the sample combining with called prediction model; wherein the number of detector elements of spectrometer is determined by an ultimate minimal resolution, and a resolution of the sample is controlled to the ultimate minimal resolution during an acquisition process; which realizes automatic black-white calibration, non-destructive detection of multi-index, improves building efficiency of model, while maintaining building stability, and optimizes detection instrument volume.

    DEVICES, SYSTEMS AND METHODS FOR SORTING AND LABELLING FOOD PRODUCTS
    9.
    发明申请
    DEVICES, SYSTEMS AND METHODS FOR SORTING AND LABELLING FOOD PRODUCTS 有权

    公开(公告)号：US20220323997A1

    公开(公告)日：2022-10-13

    申请号：US17635961

    申请日：2019-08-20

    申请人： P & P OPTICA INC.

    发明人： Romuald PAWLUCZYK ,  Olga Ewa PAWLUCZYK ,  Timothy M.F. STORK ,  Allan HAMZIC ,  Bradley OLDENBURG

    IPC分类号： B07C5/342 ,  G01N21/84 ,  G01N21/31 ,  G01N33/12

    摘要： Devices, systems and methods for sorting and labeling food products are provided. Respective spectra of food products for a plurality of segments of a line are received at a controller from at least one line-scan dispersive spectrometer configured to acquire respective spectra of the food products for the plurality of segments of the line. The controller applies one or more machine learning algorithms to the respective spectra to classify the plurality of segments according to at least one of one or more food parameters. The controller controls one or more of a sorting device and a labeling device according to classifying the plurality of segments to cause the food products to be one or more of sorted and labeled according to the at least one of the one or more food parameters.