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The DOI matches its Crossref record; 81 of the 81 references it cites were found in a registry or an index.

Innovation trends in the food industry: The case of functional foods

Open access
Bigliardi, Barbara, Galati, Francesco·2013·Trends in Food Science & Technology

Abstract

The food industry is one of the most important branches of the national economy in Italy and in the European Union in general, playing a central role for the processing of agricultural raw materials and food supply. This industry is traditionally regarded as a sector with low research intensity; notwithstanding, innovations are recognized as an important instrument for companies belonging to the food industry in order to stand out from competitors and to satisfy consumer expectations. In this regard, functional foods play an outstanding role, as demonstrated by their increasing demand derived from the increasing cost of healthcare, the steady increase of life expectancy, and the desire of older people for improved quality of their later years. The main target of this paper is to analyze the state of the art on functional foods. For this purpose, a review of extant literature is presented. Specific emphasis is laid on the definition and the main examples of functional food. The paper concludes with comments on future trends.

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Crossref · 10.1016/j.tifs.2013.03.006

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Metadata

Authors
Bigliardi, B., & Galati, F.
Venue
Trends in Food Science & Technology
Publisher
Elsevier BV
Published
2013-06
Volume
31
Issue
2
Pages
118-129
ISSN
0924-2244 (ISSN-L)
OpenAlex
W2048068629
Cited by
852
References
81
FWCI
41.60
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Innovation trends in the food industry: The case of functional foods. https://app.cochat.ai/papers/10.1016/j.tifs.2013.03.006
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Bigliardi, B., & Galati, F. (2013). Innovation trends in the food industry: The case of functional foods. Trends in Food Science & Technology. https://doi.org/10.1016/j.tifs.2013.03.006

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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.