2022
DOI: 10.1016/j.jddst.2022.103664
|View full text |Cite
|
Sign up to set email alerts
|

Formulation design, statistical optimization and in vitro biological activities of nano-emulsion containing essential oil from cotton-lavender (Santolina chamaecyparissus L.)

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2022
2022
2023
2023

Publication Types

Select...
3
1

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(2 citation statements)
references
References 60 publications
0
2
0
Order By: Relevance
“…Obviously, the high heat accumulation triggered by the high ultrasonic power and long residence time accelerates the collision and aggregation of emulsion droplets. In addition, the polar groups of nonionic surfactants were dehydrated at high temperatures, and the nonionic surfactants without amphiphilic properties were separated from nanoemulsions, resulting in the severe aggregation of oil droplets [41] .…”
Section: Resultsmentioning
confidence: 99%
“…Obviously, the high heat accumulation triggered by the high ultrasonic power and long residence time accelerates the collision and aggregation of emulsion droplets. In addition, the polar groups of nonionic surfactants were dehydrated at high temperatures, and the nonionic surfactants without amphiphilic properties were separated from nanoemulsions, resulting in the severe aggregation of oil droplets [41] .…”
Section: Resultsmentioning
confidence: 99%
“…To optimize all factors and variables that can affect ionic gelation microencapsulation, the applied experimental designs can be programmed utilizing the Response Surface Methodology (RSM) and the Box–Behnken Design (BBD). RSM is an excellent tool that is very useful for detecting the influence of different formulation factors on response variables [ 39 , 40 ], while BBD is applied to establish the optimal experimental conditions, with optimal polynomial equations for the evaluated response variables [ 41 , 42 ].…”
Section: Introductionmentioning
confidence: 99%