Patents Assigned to Hofstra University
  • Publication number: 20220026380
    Abstract: The present invention provides a method for detecting synthetic indole and indazole cannabinoids in a sample known or suspected to contain a synthetic indole or indazole cannabinoid. A deuterated solvent is added to the solid sample, creating a suspension. The suspension is mixed to release the cannabinoid from the solid sample. The suspension is subject to a NMR spectroscopy process to produce a sample NMR spectrum. The synthetic cannabinoid is detected in the suspension by analysis of the sample NMR spectrum. When one-dimensional proton NMR is used, detection of a first peak between 8.00 and 8.50 ppm and a second peak between 4.00 and 4.40 ppm, indicates the presence of a synthetic indole or indazole cannabinoid. When two-dimensional Correlation Spectroscopy (COSY) NMR is used, detection of a first spot between 6.50 and 9.00 ppm and a second spot between 1.50 and 4.50 ppm indicates the presence of a synthetic indole or indazole cannabinoid.
    Type: Application
    Filed: July 15, 2021
    Publication date: January 27, 2022
    Applicant: HOFSTRA UNIVERSITY
    Inventors: Ling HUANG, Michael Anthony MARINO, Brandy VOYER
  • Patent number: 11085891
    Abstract: The present invention provides a method for detecting synthetic indole and indazole cannabinoids in a sample known or suspected to contain a synthetic indole or indazole cannabinoid in the absence of chromatography. A deuterated solvent is added to the solid sample, creating a suspension. The synthetic cannabinoid is detected in the suspension by analysis of the sample NMR spectrum. When one-dimensional proton NMR is used, detection of a first peak between 8.00 and 8.50 ppm and a second peak between 4.00 and 4.40 ppm, indicates the presence of a synthetic indole or indazole cannabinoid. When two-dimensional Correlation Spectroscopy (COSY) NMR is used, detection of a first spot between 6.50 and 9.00 ppm and a second spot between 1.50 and 4.50 ppm indicates the presence of a synthetic indole or indazole cannabinoid.
    Type: Grant
    Filed: April 25, 2014
    Date of Patent: August 10, 2021
    Assignee: Hofstra University
    Inventors: Ling Huang, Michael Anthony Marino, Brandy Voyer
  • Publication number: 20160084779
    Abstract: The present invention provides a method for detecting synthetic indole and indazole cannabinoids in a sample known or suspected to contain a synthetic indole or indazole cannabinoid. A deuterated solvent is added to the solid sample, creating a suspension. The suspension is mixed to release the cannabinoid from the solid sample. The suspension is subject to a NMR spectroscopy process to produce a sample NMR spectrum. The synthetic cannabinoid is detected in the suspension by analysis of the sample NMR spectrum. When one-dimensional proton NMR is used, detection of a first peak between 8.00 and 8.50 ppm and a second peak between 4.00 and 4.40 ppm, indicates the presence of a synthetic indole or indazole cannabinoid. When two-dimensional Correlation Spectroscopy (COSY) NMR is used, detection of a first spot between 6.50 and 9.00 ppm and a second spot between 1.50 and 4.50 ppm indicates the presence of a synthetic indole or indazole cannabinoid.
    Type: Application
    Filed: April 25, 2014
    Publication date: March 24, 2016
    Applicant: HOFSTRA UNIVERSITY
    Inventors: Ling HUANG, Michael Anthony MARINO, Brandy VOYER
  • Patent number: 5417215
    Abstract: An ultrasound method and apparatus for classification of tissue in a region of interest in a body. The raw ultrasound return data is digitized and processed without the need for human visual analysis of pixel-scale video images. Tissue classification is done by correlation of the relative amount of energy in selected frequency bands of the power spectrum of the returned demodulated ultrasound data to that of known tissue samples.
    Type: Grant
    Filed: February 4, 1994
    Date of Patent: May 23, 1995
    Assignees: Long Island Jewish Medical Center, Hofstra University
    Inventors: Steven J. Evans, Scott L. Roth, Harold M. Hastings