The DOI matches its Crossref record; 87 of the 87 references it cites were found in a registry or an index.
Starch Nanoparticles: A Review
Abstract
Starch is a natural, renewable, and biodegradable polymer produced by many plants as a source of stored energy. It is the second most abundant biomass material in nature. The starch structure has been under research for years, and because of its complexity, an universally accepted model is still lacking (Buleon, A.; et al. Int. J. Biol. Macromol. 1998, 23, 85-112). However, the predominant model for starch is a concentric semicrystalline multiscale structure that allows the production of new nanoelements: (i) starch nanocrystals resulting from the disruption of amorphous domains from semicrystalline granules by acid hydrolysis and (ii) starch nanoparticles produced from gelatinized starch. This paper intends to give a clear overview of starch nanoparticle preparation, characterization, properties, and applications. Recent studies have shown that they could be used as fillers to improve mechanical and barrier properties of biocomposites. Their use for industrial packaging, continuously looking for innovative solutions for efficient and sustainable systems, is being investigated. Therefore, recently, starch nanoparticles have been the focus of an exponentially increasing number of works devoted to develop biocomposites by blending starch nanoparticles with different biopolymeric matrices. To our knowledge, this topic has never been reviewed, despite several published strategies and conclusions.
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.
Integrity signals
Registry
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.
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
Alexandre, M., & Dubois, P. (2000) · Materials Science and Engineering: R: Reports · doi:10.1016/s0927-796x(00)00012-7 · Cited by 6,377
Starch: Chemistry and Technology
(1984) · Elsevier eBooks · doi:10.1016/c2009-0-02983-3 · Cited by 3,261
Azizi Samir, M. A. S., Alloin, F., & Dufresne, A. (2005) · Biomacromolecules · doi:10.1021/bm0493685 · Cited by 2,311
Self-citationStarch granules: structure and biosynthesis
Buléon, A., Colonna, P., Planchot, V., & Ball, S. (1998) · International Journal of Biological Macromolecules · doi:10.1016/s0141-8130(98)00040-3 · Cited by 2,091
Structural and mechanical properties of polymer nanocomposites
Tjong, S. C. (2006) · Materials Science and Engineering: R: Reports · doi:10.1016/j.mser.2006.06.001 · Cited by 1,531
Optimization of the isolation of nanocrystals from microcrystalline cellulose by acid hydrolysis
Bondeson, D., Mathew, A., & Oksman, K. (2006) · Cellulose · doi:10.1007/s10570-006-9061-4 · Cited by 1,372
Nanocomposites for food packaging applications
Azeredo, H. M. C. D. (2009) · Food Research International · doi:10.1016/j.foodres.2009.03.019 · Cited by 1,259
Cheetham, N. W. H., & Tao, L. (1998) · Carbohydrate Polymers · doi:10.1016/s0144-8617(98)00007-1 · Cited by 1,095
Permeability of polymer/clay nanocomposites: A review
Choudalakis, G., & Gotsis, A. D. (2009) · European Polymer Journal · doi:10.1016/j.eurpolymj.2009.01.027 · Cited by 1,075
Microscopy of starch: evidence of a new level of granule organization
Gallant, D. J., Bouchet, B., & Baldwin, P. M. (1997) · Carbohydrate Polymers · doi:10.1016/s0144-8617(97)00008-8 · Cited by 1,049
Cited by
Alcázar-Alay, S. C., & Meireles, M. A. A. (2015) · Food Science and Technology (Campinas) · doi:10.1590/1678-457x.6749 · Cited by 911
Nasrollahzadeh, M., Sajjadi, M., Iravani, S., & Varma, R. S. (2021) · Carbohydrate Polymers · doi:10.1016/j.carbpol.2020.116986 · Cited by 718
Gandini, A. (2011) · Green Chemistry · doi:10.1039/c0gc00789g · Cited by 695
Biopolymer-Based Nanoparticles for Drug/Gene Delivery and Tissue Engineering
Nitta, S., & Numata, K. (2013) · International Journal of Molecular Sciences · doi:10.3390/ijms14011629 · Cited by 666
From monomers to polymers from renewable resources: Recent advances
Gandini, A., & Lacerda, T. M. (2015) · Progress in Polymer Science · doi:10.1016/j.progpolymsci.2014.11.002 · Cited by 620
Metadata
- Authors
- Le Corre, D., Bras, J., & Dufresne, A.
- Venue
- Biomacromolecules
- Publisher
- American Chemical Society (ACS)
- Published
- 2010-04-20
- Volume
- 11
- Issue
- 5
- Pages
- 1139-1153
- ISSN
- 1525-7797 (ISSN-L)
- 1526-4602
- OpenAlex
- W2085953652
- Cited by
- 1,046
- References
- 87
- FWCI
- 32.49
- 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: Starch Nanoparticles: A Review. https://app.cochat.ai/papers/10.1021/bm901428y
- The paper
- Le Corre, D., Bras, J., & Dufresne, A. (2010). Starch Nanoparticles: A Review. Biomacromolecules. https://doi.org/10.1021/bm901428y
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.