Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 398

The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.

Attomole Protein Characterization by Capillary Electrophoresis-Mass Spectrometry

Valaskovic, Gary A., Kelleher, Neil L., McLafferty, Fred W.·1996·Science

Abstract

Electrospray ionization with an ultralow flow rate (≤4 nanoliters per minute) was used to directly couple capillary electrophoresis with tandem mass spectrometry for the analysis and identification of biomolecules in mixtures. A Fourier transform mass spectrometer provided full spectra (>30 kilodaltons) at a resolving power of ≈60,000 for injections of 0.7 × 10 −18 to 3 × 10 −18 mole of 8- to 29-kilodalton proteins with errors of <1 dalton in molecular mass. Using a crude isolate from human blood, a value of 28,780.6 daltons (calculated, 28,780.4 daltons) was measured for carbonic anhydrase, representing 1 percent by weight of the protein in a single red blood cell. Dissociation of molecular ions from 9 × 10 −18 mole of carbonic anhydrase gave nine sequence-specific fragment ions, more data than required for unique retrieval of this enzyme from the protein database.

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.273.5279.1199

Cites

25 of 25 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

Cites

Show all 25 references

Cited by

See all 398

Metadata

Authors
Valaskovic, G. A., Kelleher, N. L., & McLafferty, F. W.
Venue
Science
Published
1996-08-30
Volume
273
Issue
5279
Pages
1199-1202
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W1968746767
Cited by
398
References
25
FWCI
23.50
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: Attomole Protein Characterization by Capillary Electrophoresis-Mass Spectrometry. https://app.cochat.ai/papers/10.1126/science.273.5279.1199
The paper
Valaskovic, G. A., Kelleher, N. L., & McLafferty, F. W. (1996). Attomole Protein Characterization by Capillary Electrophoresis-Mass Spectrometry. Science. https://doi.org/10.1126/science.273.5279.1199

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.