Evidence map›Paper›PMID 33569953›Full record

ArticleJournal of the American Society for Mass Spectrometry2021

Creation and Release of an Updated NIST DART-MS Forensics Database.

Edward Sisco, Arun S Moorthy, Laura M Watt

Abstract read
In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Applications of DESI and DART Mass Spectrometry in Forensic Science.Journal of the American Society for Mass Spectrometry · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Interpol Review of Drug Analysis 2019-2022.Forensic science international. Synergy · 2023
    Review
  9. Article
  10. Updates to the Inverted Library Search Algorithm for Mixture Analysis.Journal of the American Society for Mass Spectrometry · 2022
    Article
  11. Review
  12. Article
  13. A New Library-Search Algorithm for Mixture Analysis Using DART-MS.Journal of the American Society for Mass Spectrometry · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Edward SiscoNational Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, Maryland 20899, United States.ORCID http://orcid.org/0000-0003-0252-1910
Arun S MoorthyNational Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, Maryland 20899, United States.ORCID http://orcid.org/0000-0002-5988-1389
Laura M WattNational Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, Maryland 20899, United States.

Funding

Intramural NIST DOC 9999-NIST
6 · The paper itself

Abstract

Facing increasing caseloads and an everchanging drug landscape, forensic laboratories have been implementing new analytical tools. Direct analysis in real time mass spectrometry (DART-MS) is often one of these tools because it provides a wealth of information from a rapid, simple analysis. The data produced by these systems, while extremely useful, can be difficult to interpret, especially in the case of complex mixtures, and therefore, mass spectral databases are often used to assist in interpretation of data. Development of these databases can be expensive and time-consuming and often relies on manual evaluation of the underlying data. The National Institute of Standards and Technology (NIST) released an initial DART-MS in-source collisional-induced dissociation mass spectral database for seized drugs in the early 2010s but it has not been updated to reflect the increasing prevalence of novel psychoactive substances. Recently, efforts to update the database have been undertaken. To assist in development of the database, an automated data evaluation process was also created. This manuscript describes the new NIST DART-MS Forensics Database and the steps taken to automate the data evaluation process.

Indexed as

DART-MSdatabasedata evaluationlibraryseized drugs

Identifiers

PMID33569953
PMCPMC9720405

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.