Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 304

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

Precipitation of Metal Ions by Plant Polyphenols: Optimal Conditions and Origin of Precipitation

McDonald, Mark, Mila, Isabelle, Scalbert, Augustin·1996·Journal of Agricultural and Food Chemistry

Abstract

Precipitation of copper(II) and zinc(II) by low molecular weight phenols, penta- O -galloyl-β- d -glucose, and commercial tannins is studied at pH 5. The extent of copper precipitation, higher than that of zinc, depends on the initial concentration of both copper and phenolic compounds and on the control of acidification which results from complexation. The copper/phenol ratio in the precipitate, determined by elemental analysis, is independent of the initial concentration of catechol. However, it increases with chestnut tannin when the metal concentration is increased to a value corresponding to complexation with all o -dihydroxyphenyl chelating groups in the molecule. Stability of the precipitates obtained with coppper(II) and various polyphenols in water, acetic acid, and ethylenediaminetetraacetic acid solutions is determined. Models for metal/polyphenol precipitation are proposed. Keywords: Polyphenols; tannins; metal ions; copper; zinc; complexation; precipitation

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/jf950459q

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

Cites

Show all 1 references

Cited by

See all 304

Metadata

Authors
McDonald, M., Mila, I., & Scalbert, A.
Venue
Journal of Agricultural and Food Chemistry
Published
1996-01-01
Volume
44
Issue
2
Pages
599-606
ISSN
  • 0021-8561 (ISSN-L)
  • 1520-5118
OpenAlex
W2037729335
Cited by
304
References
1
FWCI
1.42
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: Precipitation of Metal Ions by Plant Polyphenols: Optimal Conditions and Origin of Precipitation. https://app.cochat.ai/papers/10.1021/jf950459q
The paper
McDonald, M., Mila, I., & Scalbert, A. (1996). Precipitation of Metal Ions by Plant Polyphenols: Optimal Conditions and Origin of Precipitation. Journal of Agricultural and Food Chemistry. https://doi.org/10.1021/jf950459q

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.