Este archivo ha sido creado el 02.01.2025 por Matilde Durán Lobato GENERAL INFORMATION ------------------ 1. Dataset title: Dataset from Statistical analysis of solid lipid nanoparticles produced by high-pressure homogenization: a practical prediction approach. J Nanopart Res 15, 1443 (2013) (v.0) 2. Authorship: Matilde Durán-Lobato Universidad de Sevilla Email: mduran@us.es ORCID: 0000-0001-5534-6955 Alicia Enguix-González Universidad de Sevilla Email: aliciaenguix@us.es ORCID: 0000-0002-0236-1040 Mercedes Fernández-Arévalo Universidad de Sevilla Email: mfarevalo@us.es ORCID: 0000-0002-4283-3356 Lucía Martín-Banderas Universidad de Sevilla Email: luciamartin@us.es ORCID: 0000-0003-1447-6125 DESCRIPTION ---------- 1. Dataset language: English 2. Abstract: This dataset contains comprehensive information on the formulation and characterization of solid lipid nanoparticles (SLNs) produced using high-pressure homogenization (HPH). The dataset contains the experimental measurements obtained using an array of predetermined formulation parameters that led to regression models and predictive equations linking process parameters (e.g., lipid concentration, emulsifier ratio, and homogenization cycles) to nanoparticle properties. Data on drug release profiles from SLN of different particle size are also included. 3. Keywords: Solid lipid nanoparticles; High-pressure homogenization; Statistical analysis; Regression model; Particle size prediction; Mathematical model; Drug release Nanopartículas lipídicas sólidas; Homogenización a alta presión; Análisis estadístico; Modelo de regresión; Predicción de tamaño de partícula; Modelo matemático; Liberación de fármaco 4. Date of data collection: 01.09.2009 – 01.07.2011 5. Publication Date: 01-02-2013 6. Grant information: Grant Agency: Junta de Andalucía Grant Number: P09-CTS5029 Grant Agency: IV Plan Propio de Investigación, Universidad de Sevilla Grant Number: N/A (PIF Scholarship) 7. Geographical location/s of data collection: Facultad de Farmacia. Prof García González, 2, 41012 Sevilla, Andalucia, España Campus Reina Mercedes Coordinates: 37°21′39″N 5°59′18″O / 37.36094167, -5.98836111 ACCESS INFORMATION ------------------------ 1. Creative Commons License of the dataset: CC_BY 2. Dataset DOI: https://doi.org/10.12795/11441/166319 3. Related publication: Durán-Lobato, M., Enguix-González, A., Fernández-Arévalo, M., & Martín-Banderas, L. (2013). Statistical analysis of solid lipid nanoparticles produced by high-pressure homogenization: A practical prediction approach. Journal of Nanoparticle Research, 15(1), 1443. DOI: 10.1007/s11051-013-1443-6 4. Link to related datasets: VERSIONING AND PROVENANCE --------------- 1. Last modification date: 03-01-2025 2. Were data derived from another source?: NO 3. Additional related data not included in this dataset: METHODOLOGICAL INFORMATION ----------------------- 1. Description of the methods used to collect and generate the data: The dataset comprises experimental data from the formulation and characterization of solid lipid nanoparticles (SLNs) produced via high-pressure homogenization (HPH). SLNs were prepared using a Panda 2K high-pressure homogenizer under controlled process parameters, including varying lipid concentrations, emulsifier ratios, homogenization pressures, and cycles. Particle size, polydispersity index (PDI), and zeta potential were measured using dynamic light scattering (DLS) with a Zetasizer Nano ZS. Drug encapsulation efficiency and loading capacity were quantified by reverse-phase high-performance liquid chromatography (RP-HPLC). Morphological data were obtained using transmission electron microscopy (TEM). Drug release profiles were evaluated under physiological conditions. Statistical modeling was conducted using SPSS to establish predictive equations correlating production parameters with nanoparticle properties. All experimental procedures were performed in triplicate to ensure accuracy and reproducibility. 2. Data processing methods: Statistical analysis and regression modeling were performed using SPSS statistical software (IBM Corp., Armonk, NY, USA). HPLC was used for drug quantification, and particle size data were analyzed using built-in software for the Zetasizer Nano ZS (Malvern Instruments Ltd., Malvern, UK). 3. Software or instruments needed to interpret the data: N/A 4. Information about instruments, calibration and standards: High-Pressure Homogenizer: Panda 2K high-pressure homogenizer (GEA Niro Soavi, Parma, Italy) for nanoparticle production. Calibrated by the manufacturer for pressure and temperature settings. Dynamic Light Scattering (DLS): Zetasizer Nano ZS (Malvern Instruments Ltd., Malvern, UK) for particle size, PDI, and zeta potential measurements. Instrument calibrated using polystyrene latex bead standards. Transmission Electron Microscope (TEM): Philips CM-10 (Amsterdam, Netherlands) for morphological analysis. Calibration performed using gold particle size standards. HPLC System: Hitachi LaChrom® Series HPLC equipped with L-7100 quaternary pump, L-7200 automatic injector, and L-7455 DAD UV-Vis detector. Calibration conducted with known tocopherol standards on a Spherisorb ODS2 column. Orbital Shaker: Unitronic Vaivén (Selecta S.A., Barcelona, Spain) used for maintaining constant agitation during drug release studies. 5. Environmental or experimental conditions: N/A 6. Quality-assurance procedures performed on the data: [Opcional] FILE OVERVIEW ---------------------- 1. Explain the file naming conversion: A single Excel file with each sheet containing: -Experimental particle size: Particle size values obtained experimentally with predetermined values of lipid and surfactant concentrations, applied pressure and consecutive cycles of homogenization. -Figure 5: Data corresponding to manuscript Figure 5 showing particle size as a function of number of cycles for a formulation with 0.5 % (w/v) of Monostearin and 0.25 % (w/v) -Figure 6: Data corresponding to manuscript Figure 6 showing the logarithm of mean LNP size from one to eight cycles of homogenization at 800 bar of pressure for each lipid to emulsifier ratio (RL/S) employed -Figure 7: Data corresponding to manuscript Figure 7 showing mean particle size of LNP produced at 1,500 bar of homogenization pressure and 0.25 % (w/v) of emulsifier as a function of lipid concentration, for different number of applied passes -Figure 8: Data corresponding to manuscript Figure 8 showing Tocopherol release from LNP with 10 % of tocopherol LC as a function of particle size 2. File list: File name: Dataset from Statistical analysis of solid lipid nanoparticles produced by high-pressure homogenization: a practical prediction approach. Description: A single Excel file with each sheet containing: -Experimental particle size: Particle size values obtained experimentally with predetermined values of lipid and surfactant concentrations, applied pressure and consecutive cycles of homogenization. -Figure 5: Data corresponding to manuscript Figure 5 showing particle size as a function of number of cycles for a formulation with 0.5 % (w/v) of Monostearin and 0.25 % (w/v) -Figure 6: Data corresponding to manuscript Figure 6 showing the logarithm of mean LNP size from one to eight cycles of homogenization at 800 bar of pressure for each lipid to emulsifier ratio (RL/S) employed -Figure 7: Data corresponding to manuscript Figure 7 showing mean particle size of LNP produced at 1,500 bar of homogenization pressure and 0.25 % (w/v) of emulsifier as a function of lipid concentration, for different number of applied passes -Figure 8: Data corresponding to manuscript Figure 8 showing Tocopherol release from LNP with 10 % of tocopherol LC as a function of particle size 3. Relationship between files: [ Obligatorio si es aplicable | Relación entre los archivos] 4. File format: Excel 5. If the dataset includes multiple files, specify the directory structure and relationships between the files: