ArticlePloS one2016
An Artificial Neural Network Based Analysis of Factors Controlling Particle Size in a Virgin Coconut Oil-Based Nanoemulsion System Containing Copper Peptide.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Applicability of Nanoemulsions for the Incorporation of Bioactive Compounds in Cosmetics: A Review.ACS omega · 2026Review
- Machine learning empowered formulation design, optimization and characterization of nanoparticulate drug delivery systems: Current applications, challenges, and future perspectives.Acta pharmaceutica Sinica. B · 2026Review
- Peptides: Emerging Candidates for the Prevention and Treatment of Skin Senescence: A Review.Biomolecules · 2025Review
- One-pot synthesis of polysaccharide/gelatin amorphous hydrogels impregnated with a bioflavonoid derived from Elaeis guineensis leaf: wound healing and drug release properties.Daru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences · 2024Article
- The Artificial Intelligence-Powered New Era in Pharmaceutical Research and Development: A Review.AAPS PharmSciTech · 2024Review
- Antimicrobial activities of nano-emulsion of virgin coconut oil.Veterinarni medicina · 2023Article
- Artificial Neural Networks to Optimize Oil-in-Water Emulsion Stability with Orange By-Products.Foods (Basel, Switzerland) · 2022Article
- State-of-the-Art Review of Artificial Neural Networks to Predict, Characterize and Optimize Pharmaceutical Formulation.Pharmaceutics · 2022Review
- An Improved Nanoemulsion Formulation Containing Kojic Monooleate: Optimization, Characterization and In Vitro Studies.Molecules (Basel, Switzerland) · 2020Article
- The implementation of artificial neural networks for the multivariable optimization of mesoporous NiO nanocrystalline: biodiesel application.RSC advances · 2020Article
- Development of a kojic monooleate-enriched oil-in-water nanoemulsion as a potential carrier for hyperpigmentation treatment.International journal of nanomedicine · 2018Article
- Detecting event-related changes in organizational networks using optimized neural network models.PloS one · 2017Article
Corrections and comments
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Authors and funding
5 authors.
Funding
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Abstract
A predictive model of a virgin coconut oil (VCO) nanoemulsion system for the topical delivery of copper peptide (an anti-aging compound) was developed using an artificial neural network (ANN) to investigate the factors that influence particle size. Four independent variables including the amount of VCO, Tween 80: Pluronic F68 (T80:PF68), xanthan gum and water were the inputs whereas particle size was taken as the response for the trained network. Genetic algorithms (GA) were used to model the data which were divided into training sets, testing sets and validation sets. The model obtained indicated the high quality performance of the neural network and its capability to identify the critical composition factors for the VCO nanoemulsion. The main factor controlling the particle size was found out to be xanthan gum (28.56%) followed by T80:PF68 (26.9%), VCO (22.8%) and water (21.74%). The formulation containing copper peptide was then successfully prepared using optimum conditions and particle sizes of 120.7 nm were obtained. The final formulation exhibited a zeta potential lower than -25 mV and showed good physical stability towards centrifugation test, freeze-thaw cycle test and storage at temperature 25°C and 45°C.
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