Methods and systems for opioid detection
Abstract
The present invention relates to detection systems for detecting an opioid compound by use of pyrolysis, as well as methods thereof. In particular, the systems are configured to detect the presence of a backbone fragment indicative of a class of opioid compounds, including opioid analogues.
- Inventors:
- Issue Date:
- Research Org.:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 2222211
- Patent Number(s):
- 11733217
- Application Number:
- 16/984,923
- Assignee:
- National Technology & Engineering Solutions of Sandia, LLC (Albuquerque, NM)
- Patent Classifications (CPCs):
-
B - PERFORMING OPERATIONS B01 - PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL B01J - CHEMICAL OR PHYSICAL PROCESSES, e.g. CATALYSIS OR COLLOID CHEMISTRY
G - PHYSICS G01 - MEASURING G01N - INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- DOE Contract Number:
- NA0003525
- Resource Type:
- Patent
- Resource Relation:
- Patent File Date: 08/04/2020
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Moorman, Matthew W., Whiting, Joshua J., and Mowry, Curtis D. Methods and systems for opioid detection. United States: N. p., 2023.
Web.
Moorman, Matthew W., Whiting, Joshua J., & Mowry, Curtis D. Methods and systems for opioid detection. United States.
Moorman, Matthew W., Whiting, Joshua J., and Mowry, Curtis D. Tue .
"Methods and systems for opioid detection". United States. https://www.osti.gov/servlets/purl/2222211.
@article{osti_2222211,
title = {Methods and systems for opioid detection},
author = {Moorman, Matthew W. and Whiting, Joshua J. and Mowry, Curtis D.},
abstractNote = {The present invention relates to detection systems for detecting an opioid compound by use of pyrolysis, as well as methods thereof. In particular, the systems are configured to detect the presence of a backbone fragment indicative of a class of opioid compounds, including opioid analogues.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2023},
month = {8}
}
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