Characterization and Optimization of Salep Mucilage Bionanocomposite Films Containing Allium jesdianum Boiss. Nanoliposomes for Antibacterial Food Packaging Utilization.
Mohammad EkramiAli EkramiMohammad Ali HosseiniZahra Emam DjomehPublished in: Molecules (Basel, Switzerland) (2022)
This research aimed to characterize and compare the properties of nanoliposome (NL P )-loaded Salep mucilage-based bionanocomposite films containing free and encapsulated Allium jesdianum Boiss. essential oil (A EO ). The mean size of nanoliposome containing Allium jesdianum Boiss. essential oil (NL P /A EO ) was around 125 nm, the zeta potential value was about -35 mV, and the entrapment effectiveness was over 70% based on an evaluation of NL P prepared using the thin-film hydration and ultrasonic approach. Morphological studies further corroborated the findings of the Zetasizer investigation. When NL P /A EO has added to Salep mucilage-based bionanocomposite films, the tensile strength (TS), water solubility (WS), water content (WC), and water vapor permeability (WVP) were found to decrease. In contrast, the contact angle and oxygen permeability (O 2 P) elongation at break (EAB) increased. Scanning electron microscopy (SEM) and atomic force microscopy (AFM) images indicated that Salep mucilage-based bionanocomposite films added with NL P /A EO had a disordered inner network in the cross-section and a rough structure on the surface compared to the control film. Finally, an increase in antibacterial activity and a decrease in A EO release rate was observed for the Salep mucilage-based bionanocomposite films incorporated with NL P /A EO . Our results indicated that NL P /A EO , as an innovative sustained-release system, had the potential for using the developed antibacterial food packaging base on Salep mucilage for the shelf life extension of perishable food products.
Keyphrases
- essential oil
- room temperature
- atomic force microscopy
- electron microscopy
- human health
- high speed
- carbon nanotubes
- randomized controlled trial
- endothelial cells
- high resolution
- magnetic resonance
- silver nanoparticles
- drug delivery
- machine learning
- ionic liquid
- magnetic resonance imaging
- single molecule
- convolutional neural network
- mass spectrometry
- cancer therapy
- network analysis