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NIST Mass Spectrometry Data Center standard reference libraries and software tools: Application to seized drug
William E Wallace1, Arun S Moorthy1
1Mass Spectrometry Data Center, Biomolecular Measurement Division, National Institute of Standards and Technology, Gaithersburg, Maryland, USA.
The National Institute of Standards and Technology (NIST) offers mass spectral libraries and software to help analysts identify novel fentanyl-related substances (FRS) when certified samples are unavailable. These tools aid in accurate identification using techniques like gas chromatography-mass spectrometry.
Area of Science:
- Forensic Chemistry
- Analytical Chemistry
- Mass Spectrometry
Background:
- Seized drug analysis often involves identifying novel or unknown substances.
- Fentanyl-related substances (FRS) pose a significant challenge due to their prevalence and structural diversity.
- Lack of certified reference materials for novel FRS hinders accurate identification.
Purpose of the Study:
- To describe the National Institute of Standards and Technology's Mass Spectrometry Data Center (NIST MSDC) standard reference libraries and software.
- To highlight the utility of these tools for seized drug analysts, particularly for identifying fentanyl-related substances (FRS).
- To provide resources for analysts encountering novel substances without certified samples.
Main Methods:
- Utilizing NIST's three standard reference mass spectral libraries.
- Employing six NIST software packages for mass spectral analysis, library searching, and data interpretation.
- Applying gas chromatography-mass spectrometry (GC-MS) and direct analysis in real-time (DART) mass spectrometry for fentanyl identification examples.
Main Results:
- NIST provides comprehensive mass spectral libraries and software tools.
- These resources facilitate the identification of fentanyl-related substances (FRS).
- Demonstrated examples of FRS identification using GC-MS and DART-MS.
Conclusions:
- NIST MSDC tools are valuable for seized drug analysts.
- The libraries and software support the identification of novel and emerging FRS.
- Online tutorials are available to assist users.
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