2023
DOI: 10.1016/j.jconrel.2023.05.001
|View full text |Cite
|
Sign up to set email alerts
|

Design of experiments in the optimization of nanoparticle-based drug delivery systems

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

1
8
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
9

Relationship

0
9

Authors

Journals

citations
Cited by 23 publications
(9 citation statements)
references
References 80 publications
1
8
0
Order By: Relevance
“…The observed zeta potential ranged from −18.7 to −39.2 mV, and pH as well as the zein, quercetin, and α-tocopherol concentrations were found to be the most influential factors. This finding is consistent with those of previous studies, which support the validity and reliability of our findings. The average particle size, PDI, EE, and zeta potential of the optimized Zein/Que/Toc nanoparticles, as well as the normal probability plots, are shown in the Supporting Information (Figures S2 and S3).…”
Section: Resultssupporting
confidence: 92%
“…The observed zeta potential ranged from −18.7 to −39.2 mV, and pH as well as the zein, quercetin, and α-tocopherol concentrations were found to be the most influential factors. This finding is consistent with those of previous studies, which support the validity and reliability of our findings. The average particle size, PDI, EE, and zeta potential of the optimized Zein/Que/Toc nanoparticles, as well as the normal probability plots, are shown in the Supporting Information (Figures S2 and S3).…”
Section: Resultssupporting
confidence: 92%
“…It is worth noting that the correlation between in vitro cell culture and in vivo outcomes is generally weak, if present at all, for most applications . Therefore, the design and optimization of improved LNPs through statistical approaches like Design of Experiments (DoE) are imperative . Such approaches must encompass not only physicochemical readouts, but also in vitro and in vivo assessments, biodistribution studies, and toxicological evaluations to pave the way for successful next-generation mRNA LNPs. …”
Section: Discussionmentioning
confidence: 99%
“…36 Therefore, the design and optimization of improved LNPs through statistical approaches like Design of Experiments (DoE) are imperative. 37 Such approaches must encompass not only physicochemical readouts, but also in vitro and in vivo assessments,…”
Section: ■ Conclusionmentioning
confidence: 99%
“…Critical Process Parameters (CPPs) are essential operational variables within a manufacturing system that influence the quality of the final output. These variables interface with Critical Material Attributes (CMAs), which embody the physical, chemical, or biological properties of the raw materials used in production [ 13 ]. The interaction of CPPs and CMAs informs the Critical Quality Attributes (CQAs), quantifiable properties that delineate the desired product quality thresholds.…”
Section: Introductionmentioning
confidence: 99%