Cellulose nanofibrils-stabilized legume protein-based pickering emulsions for capsaicin delivery: Fabrication, characterization, and encapsulation mechanism exploration
Source abstract
Abstract
Capsaicin (CAP) faces limitations in its widespread application due to its low bioaccessibility. Pickering emulsions based on legume proteins are efficient for encapsulating bioactive compounds, but poor solubility and environmental sensitivity of proteins undermine emulsion stability. To tackle these challenges, this study developed a novel Pickering emulsion by using cellulose nanofibrils (CNFs) and chickpea protein isolate (CPI) for efficient CAP delivery. The combination of CPI and CNF at a ratio of 20꞉1 ( w/w ) exhibited the highest encapsulation efficiency (70.90% ± 1.66%) and sustained release properties during in vitro digestion, thereby enhancing CAP bioaccessibility from 39.40% ± 2.33% to 81.54% ± 1.95%. Notably, CNF also enhanced emulsion stability through enhanced hydrogen bonding, reduced droplet size (589.51 ± 47.08 nm), and increased hydrophobicity (contact angle: 85.83° ± 1.20°). Comprehensive characterization revealed that the incorporation of CNF significantly improved the colloidal properties of the emulsion, including its rheological behavior and thermal stability. Mechanistic investigations demonstrated that the enhanced encapsulation capability was attributed to the formation of stable hydrogen-bonding networks between CNF and CPI. Moreover, CAP is bound with CPI through synergistic hydrogen bonding and van der Waals interactions, with Arginine-179 identified as the key residue for binding (binding free energy: –10.46 kJ/mol). These findings offer valuable insights into the development of plant-based nanocarrier systems and highlight the potential of CNF-legume protein complexes in the delivery of bioactive compounds.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Proteins in Food Systems · Pickering emulsions and particle stabilization · Advanced Cellulose Research Studies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
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