Patents by Inventor CHAO-MING TSEN

CHAO-MING TSEN 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).

  • Patent number: 11719643
    Abstract: A method for detecting dust mite antigens includes the steps of collecting a dust sample, applying an extraction and cleanup procedure for dust mite antigens from the dust sample in order to obtain a sample solution ready for measurement, and placing the sample solution on a SERS chip without immunological modification and under a Raman spectrometer for SERS detection in order to identify whether any dust mite antigens exist in the sample solution.
    Type: Grant
    Filed: May 24, 2019
    Date of Patent: August 8, 2023
    Assignee: NATIONAL TSING HUA UNIVERSITY
    Inventors: Chun-Yu Chuang, Pin-Hsuan Yeh, Chao-Ming Tsen, Ching-Wei Yu, Wei-Chung Chao, Yung-Hsiang Wang, Cheng-Chien Li
  • Patent number: 11506611
    Abstract: A surface-enhanced Raman scattering (SERS) detection method is provided for detecting a target analyte in a sample. The SERS detection method generally includes the steps of: (a). preparing an extract of the sample; (b). introducing the sample extract onto a SERS substrate, causing the target analyte to be absorbed in the SERS substrate; (c). introducing a volatile organic solvent onto the SERS substrate to have the target analyte of the sample extract dissolved and comes out of the SERS substrate; (d). irradiating the SERS substrate with light to evaporate the volatile organic solvent, leaving a more condensed target analyte on the SERS substrate; (e). irradiating the condensed target analyte with laser light to have the target analyte penetrate deeply into the SERS substrate; and (f). performing Raman measurement with a laser beam focusing on the SERS substrate to analyze the target analyte.
    Type: Grant
    Filed: July 20, 2017
    Date of Patent: November 22, 2022
    Assignee: PHANSCO CO., LTD.
    Inventors: Chao-Ming Tsen, Ching-Wei Yu, Wei-Chung Chao, Yung-Hsiang Wang, Cheng-Chien Li, Shao-Kai Lin, Tzu-Hung Hsu, Chang-Jung Wen
  • Publication number: 20200158646
    Abstract: A surface-enhanced Raman scattering (SERS) detection method is provided for detecting a target analyte in a sample. The SERS detection method generally includes the steps of: (a). preparing an extract of the sample; (b). introducing the sample extract onto a SERS substrate, causing the target analyte to be absorbed in the SERS substrate; (c). introducing a volatile organic solvent onto the SERS substrate to have the target analyte of the sample extract dissolved and comes out of the SERS substrate; (d). irradiating the SERS substrate with light to evaporate the volatile organic solvent, leaving a more condensed target analyte on the SERS substrate; (e). irradiating the condensed target analyte with laser light to have the target analyte penetrate deeply into the SERS substrate; and (f). performing Raman measurement with a laser beam focusing on the SERS substrate to analyze the target analyte.
    Type: Application
    Filed: July 20, 2017
    Publication date: May 21, 2020
    Inventors: CHAO-MING TSEN, CHING-WEI YU, WEI-CHUNG CHAO, YUNG-HSIANG WANG, CHENG-CHIEN LI, SHAO-KAI LIN, TZU-HUNG HSU, CHANG-JUNG WEN
  • Publication number: 20190360938
    Abstract: A method for detecting dust mite antigens includes the steps of collecting a dust sample, applying an extraction and cleanup procedure for dust mite antigens from the dust sample in order to obtain a sample solution ready for measurement, and placing the sample solution on a SERS chip without immunological modification and under a Raman spectrometer for SERS detection in order to identify whether any dust mite antigens exist in the sample solution.
    Type: Application
    Filed: May 24, 2019
    Publication date: November 28, 2019
    Inventors: CHUN-YU CHUANG, PIN-HSUAN YEH, CHAO-MING TSEN, CHING-WEI YU, WEI-CHUNG CHAO, YUNG-HSIANG WANG, CHENG-CHIEN LI