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Cited by 269

The DOI matches its Crossref record; 164 of the 164 references it cites were found in a registry or an index.

Acceptance of Insect-Based Food Products in Western Societies: A Systematic Review

Open access
Kröger, Tieneke, Dupont, Jacqueline, Büsing, Lucy, Fiebelkorn, Florian·2022·Frontiers in Nutrition

Abstract

Consuming insects is a possible alternative to meat consumption that has few detrimental impacts on the environment and human health. Whether novel foods made from insects will become established in Western societies in the coming years depends largely on their acceptance by the respective populations. Numerous studies on the acceptance of insects as a novel food have already been conducted. In this systematic review, the main findings of quantitative, experimental, and tasting studies on the acceptance of insects as a novel food are summarized. The present paper is designed to serve as an orientation for practitioners in the food industry and provides information useful for the design of marketing strategies and target group-oriented product development. In addition, we highlight in which fields future studies could be conducted to further improve the understanding of the acceptance of insects as food in Western societies.

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Crossref · 10.3389/fnut.2021.759885

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Metadata

Authors
Kröger, T., Dupont, J., Büsing, L., & Fiebelkorn, F.
Venue
Frontiers in Nutrition
Published
2022-02-21
Volume
8
Pages
759885-759885
ISSN
2296-861X (ISSN-L)
OpenAlex
W4212870759
Cited by
269
References
164
FWCI
7.63
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Acceptance of Insect-Based Food Products in Western Societies: A Systematic Review. https://app.cochat.ai/papers/10.3389/fnut.2021.759885
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Kröger, T., Dupont, J., Büsing, L., & Fiebelkorn, F. (2022). Acceptance of Insect-Based Food Products in Western Societies: A Systematic Review. Frontiers in Nutrition. https://doi.org/10.3389/fnut.2021.759885

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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.