The Use of Supercritical Fluid Technologies for Nanoparticle Production

Patel, Jayvadan K.; Bhatia, Deepak; Pathak, Yashwant; Patel, Anita

doi:10.1007/978-3-030-50703-9_6

Cited by 7 publications

(8 citation statements)

References 113 publications

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“…There are various methods for the formulation of drug loaded Solid Lipid Nanoparticles (SLN). 5,6 Solvent emulsification evaporation is a convenient and simple method of making SLN. 7,8 The drug was found poorly soluble in water but in organic solvent acetone, whereas the solid lipid was soluble in diethyl ether (organic).…”

Section: Methods Of Preparation Of Slnmentioning

confidence: 99%

Fabrication of Transdermal Gel Embedded with Solid Lipid Nanoparticles of Indomethacin

Hajwani¹,

Khan²,

Ansari³

et al. 2023

IJDDT

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Rheumatoid/osteoarthritis is one of the most common causes for lacking behind in the health sector. Medication in the form of tablets are already available in the market but has disadvantages. When these medicines are taken orally it cause heartburn and discomfort. The introduction of transdermal drug delivery is expected to solve this problem of side eff ects associated with oral delivery of drug. In the present study, indomethacin was loaded in solid lipid nanoparticles (SLN) which are then embedded in Carbopol gel for transdermal application. The solvent evaporation ultrasonication method was used for making SLNs. The formulation was evaluated for various parameters such as ; particle size and zeta potential of SLN using zetasizer as an instrument and gel formulations were evaluated for pH, spreading coeffi cient, viscosity, visual appearance and clarity. Gel-embedded SLN formulation was found to be a potential transdermal drug delivery system for NSAIDs like indomethacin to treat ailments like rheumatoid arthritis or osteoarthritis.

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Section: Methods Of Preparation Of Slnmentioning

confidence: 99%

Fabrication of Transdermal Gel Embedded with Solid Lipid Nanoparticles of Indomethacin

Hajwani¹,

Khan²,

Ansari³

et al. 2023

IJDDT

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“…To reduce the size of the internal oil phase to a nanometric range, high-energy methods, e.g., high-pressure homogenization (HPH) [ 7 ] and microfluidization [ 8 ], are generally preferred for the industrial production of nanoemulsion systems [ 6 , 9 , 10 ]. Because of its high efficiency, scalability, process repeatability, customizable droplet size, and production scale-up, HPH is a preferred technique [ 9 , 11 , 12 , 13 ]. Moreover, all processing steps of molecular liquids in HPH, including the impact of the cavitation, turbulent, and shear forces, allow for the achievement of consistent, uniform particle sizes with a favorable low polydispersity index [ 14 , 15 ].…”

Section: Introductionmentioning

confidence: 99%

The Effect of High-Pressure Homogenization Conditions on the Physicochemical Properties and Stability of Designed Fluconazole-Loaded Ocular Nanoemulsions

Gawin-Mikołajewicz,

Nawrot,

Malec

et al. 2023

Pharmaceutics

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The growing interest in high-energy emulsification is a result of its scalability, which is important from an industrial perspective and allows for a more reproducible and efficient production of pharmaceutical formulations. The aim of this study was to evaluate the effect of composition, mainly a fixed surfactant/cosurfactant (Smix) ratio, their concentration, and the parameters of high-pressure homogenization (HPH) processing on the quality and stability of ophthalmic fluconazole-loaded nanoemulsions. After a physicochemical analysis of nanoemulsions containing 20% w/w of oil, as optimal conditions for the HPH process, three cycles at a pressure of 1000 bar were established, obtaining formulations with an average droplet diameter size in the range of 80.63–129.68 nm and PDI values below 0.25. While it was expected that an increasing cosurfactant concentration decreased the droplet size, in the case of formulations containing Tween 20 and 10% w/w of cosurfactants, “over-processing” was observed, identified by the droplet size and polydispersity index increase. Consecutively, the selected formulations were evaluated for in vitro drug release in Franz’s cell, antifungal activity, and 30-day stability using NMR spectroscopy. An antifungal activity test showed no significant difference in the antifungal activity between optimal fluconazole-loaded nanoemulsions and a 0.3% aqueous drug solution, but previously, research showed that prepared formulations were characterized by a higher viscosity and satisfactory prolonged release compared to a control. In a 30-day stability study, it was observed that higher HLB values of the used surfactants decreased the stability of the formulations in the following order: Kolliphor EL, Tween 80, Tween 20. The NMR spectra confirmed that Kolliphor EL-based formulations ensured the higher stability of the nanoemulsion composition in comparison to Tween 80 and a better stabilizing effect of propylene glycol as a cosurfactant in comparison to PEG 200. Therefore, the optimization of HPH technology should be focused on the selection of Smix and the Smix:oil ratio in order to prepare stable formulations of high quality.

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“…Perceiving the solubility behavior of various therapeutic drugs is known as a vital key point toward the efficient designation of the supercritical approach for the pharmaceutical industry [3]. Solubility can be defined as the capability of a solute to be dissolved in a particular solvent to obtain a homogenous Loxoprofen sodium is known as an important nonsteroidal anti-inflammatory drug (NSAID), which has considerable analgesic influence (10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20) times greater than ketoprofen or naproxen) that made it an appropriate anti-inflammatory and antipyretic agent [4]. Additionally, this drug has shown its great potential of application to relieve the acute/chronic pain without having serious side effects for the gastrointestinal tract [5,6].…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, from t view, the performance of the supercritical method substantially re of drug solubility by supercritical fluids [14,15]. Numerous experi entific studies have been conducted to understand the properties pecially intermolecular interactions in supercritical fluid solutions more progression has taken place in the application of SCCO2 as system for materials' processing [19][20][21].…”

Section: Introductionmentioning

confidence: 99%

“…Numerous experimental/theoretical scientific studies have been conducted to understand the properties of SCCO 2 systems, especially intermolecular interactions in supercritical fluid solutions [16][17][18]. Additionally, more progression has taken place in the application of SCCO 2 as an alternative solvent system for materials' processing [19][20][21].…”

Section: Introductionmentioning

confidence: 99%

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Solubility Optimization of Loxoprofen as a Nonsteroidal Anti-Inflammatory Drug: Statistical Modeling and Optimization

et al. 2022

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Industrial-based application of supercritical CO2 (SCCO2) has emerged as a promising technology in numerous scientific fields due to offering brilliant advantages, such as simplicity of application, eco-friendliness, and high performance. Loxoprofen sodium (chemical formula C15H18O3) is known as an efficient nonsteroidal anti-inflammatory drug (NSAID), which has been long propounded as an effective alleviator for various painful disorders like musculoskeletal conditions. Although experimental research plays an important role in obtaining drug solubility in SCCO2, the emergence of operational disadvantages such as high cost and long-time process duration has motivated the researchers to develop mathematical models based on artificial intelligence (AI) to predict this important parameter. Three distinct models have been used on the data in this work, all of which were based on decision trees: K-nearest neighbors (KNN), NU support vector machine (NU-SVR), and Gaussian process regression (GPR). The data set has two input characteristics, P (pressure) and T (temperature), and a single output, Y = solubility. After implementing and fine-tuning to the hyperparameters of these ensemble models, their performance has been evaluated using a variety of measures. The R-squared scores of all three models are greater than 0.9, however, the RMSE error rates are 1.879 × 10−4, 7.814 × 10−5, and 1.664 × 10−4 for the KNN, NU-SVR, and GPR models, respectively. MAE metrics of 1.116 × 10−4, 6.197 × 10−5, and 8.777 × 10−5errors were also discovered for the KNN, NU-SVR, and GPR models, respectively. A study was also carried out to determine the best quantity of solubility, which can be referred to as the (x1 = 40.0, x2 = 338.0, Y = 1.27 × 10−3) vector.

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The Use of Supercritical Fluid Technologies for Nanoparticle Production

Cited by 7 publications

References 113 publications

Fabrication of Transdermal Gel Embedded with Solid Lipid Nanoparticles of Indomethacin

Fabrication of Transdermal Gel Embedded with Solid Lipid Nanoparticles of Indomethacin

The Effect of High-Pressure Homogenization Conditions on the Physicochemical Properties and Stability of Designed Fluconazole-Loaded Ocular Nanoemulsions

Solubility Optimization of Loxoprofen as a Nonsteroidal Anti-Inflammatory Drug: Statistical Modeling and Optimization

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