Patents Assigned to McGill Univeristy
  • Patent number: 10782235
    Abstract: Chemical sensors today are deployed in massive volumes across multiple industries and yet at the same time they are subject to substantial research and development effort to establish new, faster, lower cost, more accurate, more sensitive chemical sensors. Such sensors and sensor arrays are being exploited across chemistry, biology, clinical biology, environmental science in civilian and military markets. Amongst the many sensor methodologies are xerogel substrates with two moieties, a receptor for molecular recognition of the analyte and a luminophore for signaling the recognition event. In order to fulfill the requirements for low cost there is a requirement for electronic excitation/read circuits that can support architectures with optical source—N sensors—X filters—M detectors, where M?N and X=N|M.
    Type: Grant
    Filed: July 27, 2015
    Date of Patent: September 22, 2020
    Assignee: THE ROYAL INSTITUTION FOR THE ADVANCEMENT OF LEARNING / MCGILL UNIVERISTY
    Inventors: Vamsy Chodavarapu, Daisy Daivasagaya, Adel Merdassi
  • Patent number: 7358053
    Abstract: This invention describes novel purified and isolated nucleic acid molecules or the fragments thereof, extracted from nematode or arthropod pests or recombinant, which encode P-glycoprotein homologs and regulate resistance to the macrocyclic lactone compounds. The invention further relates to the new P-glycoprotein homolog expression product of these nucleic acids. Also described herein are methods for detecting the gene encoding for resistance to the macrocyclic lactone compounds in nematode or arthropod pests which comprise comparing the nucleic acids extracted from a pest specimen to the nucleic acids encoding for resistance and the nucleic acids encoding for susceptibility to the macrocyclic lactone compounds.
    Type: Grant
    Filed: June 6, 2003
    Date of Patent: April 15, 2008
    Assignee: McGill Univeristy
    Inventors: Roger K. Prichard, Ming Xu, Ana Paula Ribeiro, William J. Blackhall, Robin N. Beech, Marcelo Molento, Hao Yuan Liu