Fabrication and characterization of maltodextrin-microporous starch microcapsules including mackerel protein hydrolysates

Autor: Jiawen Ma, Luyao He, Jinxiu Cai, Wu Zhang, Hua Yang, Shaoqian Cao, Xiangyang Qi

Publikováno v: CyTA - Journal of Food, Vol 22, Iss 1 (2024)

ABSTRACTThis research focused on the preparation in microcapsules of mackerel protein hydrolysates by spray-drying, and their characteristics and stability were analyzed. The result indicated that the optimum conditions for preparing microcapsules we

Externí odkaz: https://doaj.org/article/4eea718fb484429494041fcebd380bc3

Characteristics comparison of collagens from squid skin by different extraction methods

Autor: Shaoqian CAO, Jinxiu CAI, Shunli YING, Tianyi CHEN, Liang LIU, Hua YANG, Jiawen MA, Luyao HE, Xiangyang QI

Publikováno v: Food Science and Technology, Volume: 42, Article number: e69422, Published: 17 OCT 2022
Food Science and Technology v.42 2022
Food Science and Technology (Campinas)
Sociedade Brasileira de Ciência e Tecnologia de Alimentos (SBCTA)
instacron:SBCTA

To provide a scientific basis for the comprehensive utilization of squid processing by-products, squid skin collagen was extracted by acid, enzyme and hot water, respectively, and the physicochemical characteristics of the collagens were compared. Th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1288aed0a53f3428fdf092be1caf2172
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612022000101383&lng=en&tlng=en

Cryoprotective effect of collagen hydrolysates from squid skin on frozen shrimp and characterizations of its antifreeze peptides

Autor: Shaoqian Cao, Jinxiu Cai, Xiuzi Wang, Kenan Zhou, Liang Liu, Luyao He, Xiangyang Qi, Hua Yang

Publikováno v: LWT. 174:114443

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c11e4c06f53e33dbf570b8e40c8071b2
https://doi.org/10.1016/j.lwt.2023.114443

Development and Validation of a Deep Learning Model for Brain Tumor Diagnosis and Classification Using Magnetic Resonance Imaging

Autor: Peiyi, Gao, Wei, Shan, Yue, Guo, Yinyan, Wang, Rujing, Sun, Jinxiu, Cai, Hao, Li, Wei Sheng, Chan, Pan, Liu, Lei, Yi, Shaosen, Zhang, Weihua, Li, Tao, Jiang, Kunlun, He, Zhenzhou, Wu

Publikováno v: JAMA Network Open. 5:e2225608

Deep learning may be able to use patient magnetic resonance imaging (MRI) data to aid in brain tumor classification and diagnosis.To develop and clinically validate a deep learning system for automated identification and classification of 18 types of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f8a2edb81be20a8bfa318a97387f8a68
https://doi.org/10.1001/jamanetworkopen.2022.25608

Preoperative prediction of clinically relevant postoperative pancreatic fistula after pancreaticoduodenectomy

Autor: Xiaoying Wang, Changxin Li, Jinxiu Cai, Z. Lin, Xiaodong Tian, Bingjun Tang, Yinmo Yang, Xiangpeng Wang

Publikováno v: European Journal of Radiology. 139:109693

Objectives To develop a radiomics model and a combined model for preoperative prediction of clinically relevant postoperative pancreatic fistula (CR-POPF) in patients undergoing pancreaticoduodenectomy and to compare the predictive performance of the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9499b85e4d26a505f1b1d6a254a7cfa4
https://doi.org/10.1016/j.ejrad.2021.109693