Evidence map›Paper›PMID 39664001›Full record

ArticleJournal of the American Society for Mass Spectrometry2025

NIST Library Identification Probabilities Are the Highest with Cold EI Mass Spectra.

Aviv Amirav, Benny Neumark, Oneg Elkabets, Tal Alon

Abstract read
In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. IntegrativeNutrients · 2026
    Article
  4. Article
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  6. Review
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

4 authors.

Aviv AmiravSchool of Chemistry, Tel Aviv University, Tel Aviv 6997801, Israel.ORCID 0000-0003-4982-7984
Benny NeumarkSchool of Chemistry, Tel Aviv University, Tel Aviv 6997801, Israel.
Oneg ElkabetsSchool of Chemistry, Tel Aviv University, Tel Aviv 6997801, Israel.
Tal AlonAfeka School of Engineering, Tel Aviv 6910717, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cold EI improves all of the central GC-MS performance aspects, but even though it is known for providing enhanced molecular ions, it is important to realize that Cold EI mass spectra also include all of the standard EI fragment ions. Thus, Cold EI mass spectra are fully compatible with mass spectral libraries, such as NIST for sample identification. As a result, Cold EI mass spectra (unlike any other soft ionization method) provide highly effective identifications that are often better than those obtained with standard EI for a few reasons:1).Cold EI mass spectra with enhanced molecular ions typically provide higher identification probabilities than standard EI, even though scoring lower matching factors (false alternatives scores are lowered much more).2).The visually observed molecular ions further serve to confirm or reject the NIST library identifications.3).Molecular ions provide isotope abundances that serve with our TAMI software for automatic confirmation or rejection of the NIST library identification and provide an elemental formula in case the compound is not in the library.4).The Cold EI identification probability can be even higher than that of a mass spectrum with a perfect match of 999 that can be obtained by NIST library searching its own mass spectrum.5).The clear Cold EI molecular ion enables the use of the NIST library option of constraints search with the molecular ion that further significantly increases the identification probability. Our findings are demonstrated with mass spectra of hexadecane (n-C

Identifiers

PMID39664001
PMCPMC11697345

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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.