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Cited by 283

The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.

Recent development in 3D food printing

Yang, Fan, Zhang, Min, Bhandari, Bhesh·2017·Critical Reviews in Food Science and Nutrition

Abstract

Robots and software have been significantly improving our daily lives by rendering us much convenience. And 3D printing is a typical example, for it is going to usher in a new era of localized manufacturing that is actually based on digital fabrication by layer-by-layer deposition in three-dimensional space. In terms of food industry, the revolution that three-dimensional printing technologies is bringing to food manufacturing is convenience of low-cost customized fabrication and even precise nutrition control. This paper is aimed to give a brief introduction of recent development of food printing and material property of food ingredients that can be used to design the 3D food matrix and investigate the relationship between process parameters and resulting printed food properties in order to establish a food manufacturing process with this new food production approach.

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Crossref · 10.1080/10408398.2015.1094732

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Metadata

Authors
Yang, F., Zhang, M., & Bhandari, B.
Venue
Critical Reviews in Food Science and Nutrition
Published
2015-10-19
Volume
57
Issue
14
Pages
3145-3153
ISSN
  • 1040-8398 (ISSN-L)
  • 1549-7852
OpenAlex
W2178523687
Cited by
283
References
42
FWCI
11.27
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Recent development in 3D food printing. https://app.cochat.ai/papers/10.1080/10408398.2015.1094732
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Yang, F., Zhang, M., & Bhandari, B. (2017). Recent development in 3D food printing. Critical Reviews in Food Science and Nutrition. https://doi.org/10.1080/10408398.2015.1094732

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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.