Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 172

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

Preparation and properties of glycerol plasticized-pea starch/zinc oxide-starch bionanocomposites

Ma, Xiaofei, Chang, Peter R., Yang, Jingwen, Yu, Jiugao·2009·Carbohydrate Polymers

Abstract

Abstract A bionanocomposite was cast using ZnO nanoparticles stabilized by soluble starch (nano-ZnO) as filler in a glycerol plasticized-pea starch (GPS) matrix. According to the characterization of nano-ZnO particles by Fourier-transform infrared spectroscopy (FT-IR), thermogravimetric analysis (TG) and transmission electron microscopy (TEM), ZnO nanoparitlces (70 wt%) were encapsulated by starch (30 wt%) in nano-ZnO particles of about 10 nm. In GPS/nano-ZnO nanocomposites, loading a low level of nano-ZnO particles improved the pasting viscosity, storage modulus, glass transition temperature and UV absorbance. When the nano-ZnO content varied from 0 to 4 wt%, the tensile yield strength and Young’s modulus increased from 3.94 to 10.80 MPa and from 49.80 to 137.00 MPa, respectively. The water vapor permeability decreased from 4.76 × 10 −10 to 2.18 × 10 −10 g m −1 s −1 Pa −1 . The improvement in these properties may be attributed to the interaction between the nano-ZnO filler and GPS matrix.

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 · 10.1016/j.carbpol.2008.08.007

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 172

Metadata

Authors
Ma, X., Chang, P. R., Yang, J., & Yu, J.
Venue
Carbohydrate Polymers
Publisher
Elsevier BV
Published
2009-02
Volume
75
Issue
3
Pages
472-478
ISSN
0144-8617 (ISSN-L)
OpenAlex
W1965255469
Cited by
172
References
1
FWCI
4.03
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: Preparation and properties of glycerol plasticized-pea starch/zinc oxide-starch bionanocomposites. https://app.cochat.ai/papers/10.1016/j.carbpol.2008.08.007
The paper
Ma, X., Chang, P. R., Yang, J., & Yu, J. (2009). Preparation and properties of glycerol plasticized-pea starch/zinc oxide-starch bionanocomposites. Carbohydrate Polymers. https://doi.org/10.1016/j.carbpol.2008.08.007

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.