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Cited by 911

The DOI matches its Crossref record; 121 of the 121 references it cites were found in a registry or an index.

Physicochemical properties, modifications and applications of starches from different botanical sources

Open access
Alcázar-Alay, Sylvia Carolina, Meireles, Maria Angela Almeida·2015·Food Science and Technology (Campinas)

Abstract

Present trends towards technologies and processes that increase the use of residues make starchy vegetal biomass an important alternative material in various applications due to starch’s versatility, low cost and ease of use when its physicochemical properties are altered. Starch is increasingly used in many industrial applications and as a renewable energy resource. Starch can be modified to enhance its positive attributes and eliminate deficiencies in its native characteristics. In this article, the state of knowledge on conventional and unconventional starches and their properties, characteristics, modifications and applications are reviewed.

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Crossref · 10.1590/1678-457x.6749

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Metadata

Authors
Alcázar-Alay, S. C., & Meireles, M. A. A.
Venue
Food Science and Technology (Campinas)
Published
2015-06
Volume
35
Issue
2
Pages
215-236
ISSN
  • 0101-2061 (ISSN-L)
  • 1678-457X
OpenAlex
W2195772298
Cited by
911
References
121
FWCI
35.52
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Physicochemical properties, modifications and applications of starches from different botanical sources. https://app.cochat.ai/papers/10.1590/1678-457x.6749
The paper
Alcázar-Alay, S. C., & Meireles, M. A. A. (2015). Physicochemical properties, modifications and applications of starches from different botanical sources. Food Science and Technology (Campinas). https://doi.org/10.1590/1678-457x.6749

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.