Modification of pepper seed protein isolate to improve its functional characteristic by high hydrostatic pressure (2025)
- Authors:
- Autor USP: LIANG, ZHAO - FFCLRP
- Unidade: FFCLRP
- DOI: 10.1016/j.foodchem.2024.141594
- Subjects: HIDROSTÁTICA; PIMENTA; PROPRIEDADES BÁSICAS; PROTEÍNAS
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Food Chemistry
- ISSN: 0308-8146
- Volume/Número/Paginação/Ano: v. 464, art. 141594, p. 1-12, 2025
- Este artigo NÃO possui versão em acesso aberto
-
Status: Nenhuma versão em acesso aberto identificada -
ABNT
DENG, Zimeng et al. Modification of pepper seed protein isolate to improve its functional characteristic by high hydrostatic pressure. Food Chemistry, v. 464, p. 1-12, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.foodchem.2024.141594. Acesso em: 15 mar. 2026. -
APA
Deng, Z., Du, X., Liu, S., Xiong, Y., Wang, Y., Rao, L., et al. (2025). Modification of pepper seed protein isolate to improve its functional characteristic by high hydrostatic pressure. Food Chemistry, 464, 1-12. doi:10.1016/j.foodchem.2024.141594 -
NLM
Deng Z, Du X, Liu S, Xiong Y, Wang Y, Rao L, Liu M, Zhao L, Liao X. Modification of pepper seed protein isolate to improve its functional characteristic by high hydrostatic pressure [Internet]. Food Chemistry. 2025 ; 464 1-12.[citado 2026 mar. 15 ] Available from: https://doi.org/10.1016/j.foodchem.2024.141594 -
Vancouver
Deng Z, Du X, Liu S, Xiong Y, Wang Y, Rao L, Liu M, Zhao L, Liao X. Modification of pepper seed protein isolate to improve its functional characteristic by high hydrostatic pressure [Internet]. Food Chemistry. 2025 ; 464 1-12.[citado 2026 mar. 15 ] Available from: https://doi.org/10.1016/j.foodchem.2024.141594 - Semi-supervised learning with concept drift using particle dynamics applied to network intrusion detection data
- Computer-aided music composition with LSTM neural network and chaotic inspiration
- Semi-supervised learning by edge domination in complex networks
- Dimensionality reduction with the k-associated optimal graph applied to image classification
- Bias-guided random walk for network-based data classification
- A review and comparative analysis of coarsening algorithms on bipartite networks
- Semi-supervised learning from imperfect data through particle cooperation and competition
- Chaotic phase synchronization and desynchronization in an oscillator network for object selection
- Random walk in feature-sample networks for semi-supervised classification
- Classificação de alto nível baseada em entropia da rede
Informações sobre a disponibilidade de versões do artigo em acesso aberto coletadas automaticamente via oaDOI API (Unpaywall).
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
