Improving the emulsifying property of potato protein by hydrolysis: an application as encapsulating agent with maltodextrin (2021)
- Authors:
- Autor USP: GALLI, GIOVANNI - ESALQ
- Unidade: ESALQ
- DOI: 10.1016/j.ifset.2021.102696
- Subjects: BATATA; HIDRÓLISE; PROTEÍNAS DE PLANTAS; EMULSIFICANTES; MALTODEXTRINA; SECAGEM DE ALIMENTOS
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Innovative Food Science and Emerging Technologies
- ISSN: 1466-8564
- Volume/Número/Paginação/Ano: v. 70, art. 102696, p. 1-12, 2021
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
GALVES, Cassia et al. Improving the emulsifying property of potato protein by hydrolysis: an application as encapsulating agent with maltodextrin. Innovative Food Science and Emerging Technologies, v. 70, p. 1-12, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.ifset.2021.102696. Acesso em: 24 abr. 2024. -
APA
Galves, C., Galli, G., Miranda, C. G., & Kurozawa, L. E. (2021). Improving the emulsifying property of potato protein by hydrolysis: an application as encapsulating agent with maltodextrin. Innovative Food Science and Emerging Technologies, 70, 1-12. doi:10.1016/j.ifset.2021.102696 -
NLM
Galves C, Galli G, Miranda CG, Kurozawa LE. Improving the emulsifying property of potato protein by hydrolysis: an application as encapsulating agent with maltodextrin [Internet]. Innovative Food Science and Emerging Technologies. 2021 ; 70 1-12.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.ifset.2021.102696 -
Vancouver
Galves C, Galli G, Miranda CG, Kurozawa LE. Improving the emulsifying property of potato protein by hydrolysis: an application as encapsulating agent with maltodextrin [Internet]. Innovative Food Science and Emerging Technologies. 2021 ; 70 1-12.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.ifset.2021.102696 - Predição genômica de híbridos de milho para caracteres de arquitetura oligogênica e sob diferentes parâmetros de penalização e correção de fenótipo
- High-throughput phenotyping via UAS: the optimization within a breeding program and a new validation method based on simulation
- Potato protein: current review of structure, technological properties, and potential application on spray drying microencapsulation
- The effect of bienniality on genomic prediction of yield in arabica coffee
- Population-tailored mock genome enables genomic studies in species without a reference genome
- Optimization of UAS‐based high‐throughput phenotyping to estimate plant health and grain yield in sorghum
- Genomic prediction enables early but low-intensity selection in soybean segregating progenies
- CV-α: designing validations sets to increase the precision and enable multiple comparison tests in genomic prediction
- Classification of plant growth‐promoting bacteria inoculation status and prediction of growth‐related traits in tropical maize using hyperspectral image and genomic data
- Automated machine learning: a case study of genomic “image-based” prediction in maize hybrids
Informações sobre o DOI: 10.1016/j.ifset.2021.102696 (Fonte: oaDOI API)
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
