Image-based assessment and machine learning-enabled prediction of printability of polysaccharides-based food ink for 3D printing.

Lu, Yixing; Rai, Rewa; Nitin, Nitin

Lu, Yixing; Rai, Rewa; Nitin, Nitin.

Afiliação

Lu Y; Department of Food Science and Technology, University of California-Davis, Davis, CA 95616, USA. Electronic address: yixlu@ucdavis.edu.
Rai R; Department of Food Science and Technology, University of California-Davis, Davis, CA 95616, USA. Electronic address: rnrai@ucdavis.edu.
Nitin N; Department of Food Science and Technology, University of California-Davis, Davis, CA 95616, USA; Department of Biological and Agricultural Engineering, University of California-Davis, Davis, CA 95616, USA. Electronic address: nnitin@ucdavis.edu.

Food Res Int ; 173(Pt 2): 113384, 2023 11.

Article em En | MEDLINE | ID: mdl-37803721

Assuntos

Tinta; Polissacarídeos; Celulose/química; Alimentos; Impressão Tridimensional

Palavras-chave

3D printing; Food inks; Machine learning; Plant polysaccharides; Printability prediction; Rheological properties

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Polissacarídeos / Tinta Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo

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XML

PubMed Links

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Polissacarídeos / Tinta Idioma: En Ano de publicação: 2023 Tipo de documento: Article