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Title: 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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