Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 325

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Identification of Complex Aromatic Molecules in Individual Interplanetary Dust Particles

Clemett, Simon J., Maechling, Claude R., Zare, Richard N., Swan, Patrick D., Walker, Robert M.·1993·Science

Abstract

Seventeen stratospherically collected particles—eight of which are classified as interplanetary dust particles (IDPs), seven of which are classified as probable terrestrial contaminants, and two of which have uncertain origins—were studied with a microprobe two-step laser mass spectrometer. Many polycyclic aromatic hydrocarbons (PAHs) and their alkylated derivatives were identified in two of the eight IDPs. The PAHs observed include a high-mass envelope not found in meteorites or terrestrial contaminants and prominent odd-mass peaks suggestive of nitrogen-containing functional groups attached to aromatic chromophores. In addition, the complexity of the IDP mass spectra has no precedence in previous studies of meteorite samples or their acid residues. Extensive checks were performed to demonstrate that the PAH signals are not caused by terrestrial contaminants.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1126/science.262.5134.721

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 325

Metadata

Authors
Clemett, S. J., Maechling, C. R., Zare, R. N., Swan, P. D., & Walker, R. M.
Venue
Science
Published
1993-10-29
Volume
262
Issue
5134
Pages
721-725
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2036259161
Cited by
325
References
1
FWCI
20.97
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Identification of Complex Aromatic Molecules in Individual Interplanetary Dust Particles. https://app.cochat.ai/papers/10.1126/science.262.5134.721
The paper
Clemett, S. J., Maechling, C. R., Zare, R. N., Swan, P. D., & Walker, R. M. (1993). Identification of Complex Aromatic Molecules in Individual Interplanetary Dust Particles. Science. https://doi.org/10.1126/science.262.5134.721

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.