Patents by Inventor Cheuk Chi Albert NG

Cheuk Chi Albert NG 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: 11315023
    Abstract: Methods and systems for storing digital data into peptide sequences and retrieving digital data from peptide sequences are disclosed. The method for storing digital data into peptide sequences may include: encoding the digital data into a digital code; translating the digital code into the peptide sequences; and synthesizing the translated peptide sequences. The method for retrieving digital data from peptide sequences may include: sequencing and determining an order of the peptide sequences; converting the peptide sequences with the determined order into a digital code; and decoding the digital data from the digital code. Codes with error-correction capability are developed for encoding digital data into peptide sequences, and a computational method implemented in a software is developed for sequencing the digital data bearing peptides.
    Type: Grant
    Filed: December 19, 2018
    Date of Patent: April 26, 2022
    Assignee: THE HONG KONG POLYTECHNIC UNIVERSITY
    Inventors: Zhongping Yao, Cheuk Chi Albert Ng, Chung Ming Lau, Wai Man Tam
  • Patent number: 11302421
    Abstract: Methods and systems for storing digital data into peptide sequences and retrieving digital data from peptide sequences are disclosed. The method for storing digital data into peptide sequences may include: encoding the digital data into a digital code; translating the digital code into the peptide sequences; and synthesizing the translated peptide sequences. The method for retrieving digital data from peptide sequences may include: sequencing and determining an order of the peptide sequences; converting the peptide sequences with the determined order into a digital code; and decoding the digital data from the digital code. Codes with error-correction capability are developed for encoding digital data into peptide sequences, and a computational method implemented in a software is developed for sequencing the digital data bearing peptides.
    Type: Grant
    Filed: October 12, 2020
    Date of Patent: April 12, 2022
    Assignee: THE HONG KONG POLYTECHNIC UNIVERSITY
    Inventors: Zhongping Yao, Cheuk Chi Albert Ng, Haidi Yin
  • Publication number: 20210090688
    Abstract: Methods and systems for storing digital data into peptide sequences and retrieving digital data from peptide sequences are disclosed. The method for storing digital data into peptide sequences may include: encoding the digital data into a digital code; translating the digital code into the peptide sequences; and synthesizing the translated peptide sequences. The method for retrieving digital data from peptide sequences may include: sequencing and determining an order of the peptide sequences; converting the peptide sequences with the determined order into a digital code; and decoding the digital data from the digital code. Codes with error-correction capability are developed for encoding digital data into peptide sequences, and a computational method implemented in a software is developed for sequencing the digital data bearing peptides.
    Type: Application
    Filed: October 12, 2020
    Publication date: March 25, 2021
    Inventors: Zhongping YAO, Cheuk Chi Albert NG, Haidi YIN
  • Publication number: 20210088495
    Abstract: The present disclosure provides a method and system for analysing one or more edible oil samples. In an embodiment the disclosure provides for calibrating the matrix-assisted laser desorption/ionisation mass spectrometry (MALDI-MS) data obtained for one or more edible oil samples to obtain calibrated spectral data; and comparing the calibrated spectral data derived from the one or more samples against a library of calibrated MALDI-MS spectra for a plurality of edible oil samples to determine the most likely composition of the one or more edible oil samples.
    Type: Application
    Filed: December 7, 2020
    Publication date: March 25, 2021
    Applicant: The Hong Kong Polytechnic University
    Inventors: Zhongping YAO, Cheuk Chi Albert NG, Tsz-tsun NG, Suying LI
  • Patent number: 10859552
    Abstract: The present disclosure provides a method and system for analysing one or more edible oil samples. In an embodiment the disclosure provides for calibrating the matrix-assisted laser desorption/ionisation mass spectrometry (MALDI-MS) data obtained for one or more edible oil samples to obtain calibrated spectral data; and comparing the calibrated spectral data derived from the one or more samples against a library of calibrated MALDI-MS spectra for a plurality of edible oil samples to determine the most likely composition of the one or more edible oil samples.
    Type: Grant
    Filed: June 20, 2017
    Date of Patent: December 8, 2020
    Assignee: THE HONG KONG POLYTECHNIC UNIVERSITY
    Inventors: Zhongping Yao, Cheuk Chi Albert Ng, Tsz-tsun Ng, Suying Li
  • Publication number: 20190318247
    Abstract: Methods and systems for storing digital data into peptide sequences and retrieving digital data from peptide sequences are disclosed. The method for storing digital data into peptide sequences may include: encoding the digital data into a digital code; translating the digital code into the peptide sequences; and synthesizing the translated peptide sequences. The method for retrieving digital data from peptide sequences may include: sequencing and determining an order of the peptide sequences; converting the peptide sequences with the determined order into a digital code; and decoding the digital data from the digital code. Codes with error-correction capability are developed for encoding digital data into peptide sequences, and a computational method implemented in a software is developed for sequencing the digital data bearing peptides.
    Type: Application
    Filed: December 19, 2018
    Publication date: October 17, 2019
    Inventors: Zhongping YAO, Cheuk Chi Albert NG, Chung Ming LAU, Wai Man TAM
  • Publication number: 20180364210
    Abstract: The present disclosure provides a method and system for analysing one or more edible oil samples. In an embodiment the disclosure provides for calibrating the matrix-assisted laser desorption/ionisation mass spectrometry (MALDI-MS) data obtained for one or more edible oil samples to obtain calibrated spectral data; and comparing the calibrated spectral data derived from the one or more samples against a library of calibrated MALDI-MS spectra for a plurality of edible oil samples to determine the most likely composition of the one or more edible oil samples.
    Type: Application
    Filed: June 20, 2017
    Publication date: December 20, 2018
    Applicant: The Hong Kong Polytechnic University
    Inventors: Zhongping YAO, Cheuk Chi Albert NG, Tsz-tsun NG, Suying LI