Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 176

The DOI matches its Crossref record.

Electrospray Mass Spectrometry of Poly(propylene imine) Dendrimers—The Issue of Dendritic Purity or Polydispersity

Open access
Hummelen, Jan C., Van Dongen, Joost L. J., Meijer, E. W.·1997·Chemistry – A European Journal

Abstract

Electrospray mass spectrometry (ESI‐MS) is used to analyze in detail the structure of the first five generations of the poly(propylene imine) dendrimers with 4–64 end groups. Although the reaction sequence to prepare these dendrimers is highly optimized, an accumulation of statistical defects is observed at higher generations. A simple statistical simulation allows the assignment of all peaks in the deconvoluted spectrum and the determination of yields for each side reaction in the formation of each generation. The fifth generation of the poly(propylene imine) dendrimer containing amine end groups, which is formed after 248 consecutive reaction steps, possesses a dendritic purity of approx. 20%, which corresponds to a polydispersity of approximately 1.002. The defects in the divergent growth patterns of dendrimers are compared to those observed in the Merrifield synthesis of polypeptides.

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 · 10.1002/chem.19970030916

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 176

Metadata

Authors
Hummelen, J. C., Van Dongen, J. L. J., & Meijer, E. W.
Venue
Chemistry – A European Journal
Publisher
Wiley
Published
1997-09
Volume
3
Issue
9
Pages
1489-1493
ISSN
  • 0947-6539 (ISSN-L)
  • 1521-3765
OpenAlex
W2017526973
Cited by
176
References
0
FWCI
17.00
Type
journal article
Language
en
Open access
green

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: Electrospray Mass Spectrometry of Poly(propylene imine) Dendrimers—The Issue of Dendritic Purity or Polydispersity. https://app.cochat.ai/papers/10.1002/chem.19970030916
The paper
Hummelen, J. C., Van Dongen, J. L. J., & Meijer, E. W. (1997). Electrospray Mass Spectrometry of Poly(propylene imine) Dendrimers—The Issue of Dendritic Purity or Polydispersity. Chemistry – A European Journal. https://doi.org/10.1002/chem.19970030916

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.