Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 281

The DOI matches its Crossref record.

Proteolysis in Mixed Organic−Aqueous Solvent Systems: Applications for Peptide Mass Mapping Using Mass Spectrometry

Russell, William K., Park, Zee-Yong, Russell, David H.·2001·Analytical Chemistry

Abstract

The rate of protein digestion imposes significant limitations on high-throughput protein identification using mass spectrometry. In this report, we demonstrate that proteins are readily digested by trypsin in the presence of organic solvents such as methanol, acetone, 2-propanol, and acetonitrile. The rates of protein digestion in organic solvents, as indicated by the abundances of digest fragment ions in the mass spectrum, are increased relative to aqueous solution. In addition, amino acid coverage for the analyzed proteins increases in the presence of the organic solvents, and proteins that are resistant to proteolysis are readily digested. For example, a 68% amino acid sequence coverage was attained from a tryptic digest of myoglobin in < 5 min from an 80% acetonitrile solution, whereas no digest fragments were detected from a 5 min digestion in an aqueous solution. Moreover, the tryptic digestion of a complex protein mixture in an organic-aqueous solvent system showed significantly enhanced digestion for nearly all of the protein components. Enzymatic digestion in an organic-aqueous solvent system is a rapid, simple, and effective peptide mass-mapping technique.

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 · 10.1021/ac001332p

Cites

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 281

Metadata

Authors
Russell, W. K., Park, Z.-Y., & Russell, D. H.
Venue
Analytical Chemistry
Published
2001-04-06
Volume
73
Issue
11
Pages
2682-2685
ISSN
  • 0003-2700 (ISSN-L)
  • 1520-6882
OpenAlex
W2082125965
Cited by
281
References
0
FWCI
6.68
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: Proteolysis in Mixed Organic−Aqueous Solvent Systems: Applications for Peptide Mass Mapping Using Mass Spectrometry. https://app.cochat.ai/papers/10.1021/ac001332p
The paper
Russell, W. K., Park, Z.-Y., & Russell, D. H. (2001). Proteolysis in Mixed Organic−Aqueous Solvent Systems: Applications for Peptide Mass Mapping Using Mass Spectrometry. Analytical Chemistry. https://doi.org/10.1021/ac001332p

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.