Daodong Pan

ORCID: 0000-0003-1834-7267
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About
Contact & Profiles
Research Areas
  • Meat and Animal Product Quality
  • Probiotics and Fermented Foods
  • Protein Hydrolysis and Bioactive Peptides
  • Proteins in Food Systems
  • Food Quality and Safety Studies
  • Biochemical effects in animals
  • Microencapsulation and Drying Processes
  • Biochemical Analysis and Sensing Techniques
  • Muscle metabolism and nutrition
  • Microbial Metabolites in Food Biotechnology
  • Enzyme Production and Characterization
  • Gut microbiota and health
  • Bee Products Chemical Analysis
  • Food composition and properties
  • Pickering emulsions and particle stabilization
  • Polyamine Metabolism and Applications
  • GABA and Rice Research
  • Polysaccharides Composition and Applications
  • Microbial Inactivation Methods
  • Advanced Chemical Sensor Technologies
  • Animal Nutrition and Physiology
  • Insect Utilization and Effects
  • Biopolymer Synthesis and Applications
  • Food Chemistry and Fat Analysis
  • Phytochemicals and Antioxidant Activities

Ningbo University
2016-2025

Jiangxi Normal University
2020-2022

University of Nottingham Ningbo China
2021-2022

Nanjing Normal University
2005-2017

Luye Pharma (China)
2010

The aim of this study was to evaluate water-holding capacity, texture, rheological properties, interactions and microstructure myofibrillar proteins (MP) gel with the addition fibrin during heat-induced process. Compared control, whiteness, capacity hardness MP 2% increased by 9.70%, 79.36%, 323.07%, respectively. Storage modulus loss values in group were higher than those control. conformation random coil gradually transformed β-sheet β-turn increase content; nonspecific association...

10.1016/j.lwt.2021.112457 article EN cc-by-nc-nd LWT 2021-09-11

In this study, 4 novel duck liver-derived bioactive peptides with high antioxidant capacity were prepared by fermentation, RP-HPLC purification, LC-MS/MS identification, molecular docking, and machine learning. The docking results demonstrated their power mainly forming hydrogen bonds between amino acid residues free radical molecules. Machine learning further confirmed ACE inhibitory effects. Moreover, in H2O2-induced HepG2 oxidative damage cell models, they could increase the activities...

10.1016/j.lwt.2023.114479 article EN cc-by-nc-nd LWT 2023-01-20
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