Pharmaceutical Nanotechnology: A Therapeutic Revolution

Dourado, Douglas

doi:10.17352/ijpsdr.000027

Cited by 10 publications

(4 citation statements)

References 10 publications

(4 reference statements)

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“…The typical PNPs might be defined as reversibly formed assemblies (micelles, liposomes, dendrimer systems or solid NPs) of multiple polymer chains, in which active substances are encapsulated, mixed, absorbed or attached [ 48 , 49 , 50 , 51 , 52 ]. Their bulk is usually charged with therapeutic and/or imaging agents or diagnostics, such as medications, gold (Au) or iron oxide (Fe 3 O 4 ) NPs, etc., and their surface was decorated with peptides [ 53 ], ribonucleic acid (RNA) [ 54 ], folic acid (FA) [ 55 ], boronopicolinic acid [ 56 ] and other biologically active functionalities.…”

Section: Nano-based Building Blocksmentioning

confidence: 99%

Nanocluster-Based Drug Delivery and Theranostic Systems: Towards Cancer Therapy

2022

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Over the last decades, the global life expectancy of the population has increased, and so, consequently, has the risk of cancer development. Despite the improvement in cancer therapies (e.g., drug delivery systems (DDS) and theranostics), in many cases recurrence continues to be a challenging issue. In this matter, the development of nanotechnology has led to an array of possibilities for cancer treatment. One of the most promising therapies focuses on the assembly of hierarchical structures in the form of nanoclusters, as this approach involves preparing individual building blocks while avoiding handling toxic chemicals in the presence of biomolecules. This review aims at presenting an overview of the major advances made in developing nanoclusters based on polymeric nanoparticles (PNPs) and/or inorganic NPs. The preparation methods and the features of the NPs used in the construction of the nanoclusters were described. Afterwards, the design, fabrication and properties of the two main classes of nanoclusters, namely noble-metal nanoclusters and hybrid (i.e., hetero) nanoclusters and their mode of action in cancer therapy, were summarized.

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Section: Nano-based Building Blocksmentioning

confidence: 99%

Nanocluster-Based Drug Delivery and Theranostic Systems: Towards Cancer Therapy

2022

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“…The emulsion is converted into polymeric nanoparticles by evaporating the solvent, in which diffusion of the solvent take place through the continuous phase of the emulsion. Continuous magnetic stirring under reduced pressure or at room temperature is carried out in order to evaporate the solvent from PNs and once the PNs is solidified they are collected with the help of ultracentrifugation followed by washing of PNs with distilled water in order to remove the additives like surfactants, At last the resultant product is lyophilized with 5% of manitol to get dried PNs and highspeed homogenization or ultrasonication is carried out in order to produce small particle size [5][6][7][8].…”

Section: Preparation Of Polymeric Nanoparticles (Pns)mentioning

confidence: 99%

“…These designs elucidate the main effect of independent variable over dependent variable. Its optimization design is shown in table 1 [5][6][7][8].…”

Section: Experimental Design For Formulation Of Pnsmentioning

confidence: 99%

Design, 23 Factorial Optimization and in Vitro–in Vivo Pharmacokinetic Evaluation of Rosuvastatin Calcium Loaded Polymeric Nanoparticles

et al. 2022

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Objective: The objective is to incorporate low bioavailable Rosuvastatin Calcium (20%) into polymeric nanoparticles (PNs) to improve its biopharmaceutical properties of Rosuvastatin Calcium. Methods: The PNs were prepared by solvent evaporation method by applying 23 factorial designs. The formulated PN are investigated for particle size (PS) and shape, zeta potential (ZP), polydispersity index (PI) and entrapment efficiency (EE), in vivo pharmacokinetic. Results: Among 8 formulations, PN7 shows least PS of 159.9±16.1 nm, which enhance the dissolution, surface area and permeability; ZP of-33.5±1.54 mV, which shows good stability; PI of 0.587±0.16 shows monodisperse distribution pattern; high EE of about 94.20±2.46 %; percentage yield of 96.80±2.08 %; maximum in vitro drug release of about 96.54±2.02 % at 24 h with controlled and predetermined release pattern. PN7 drug release obeys zero-order release kinetics, non-fickian diffusion mechanism with r2 value>0.96 and release exponent ‘n’ value falls between 0.5-0.8 for peppas kinetic model i.e., the mechanism of drug diffusion is based on polymer relaxation. In vivo pharmacokinetic studies illustrate enhance in AUCo-α in mg/ml, which proves a significant enhancement of bioavailability of Rosuvastatin Calcium by PNs. Conclusion: This PN shows a significant enhancement of bioavailability by minimizing the dose-dependent adverse side effects of rosuvastatin calcium.

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“…Polymer nanotechnology is one of the most potential drug delivery technologies for overcoming problems in drug distribution, such as low solubility and permeability [1]. The creation of innovative polymeric nanoparticle formulations that can change the pharmacological, biopharmaceutical, and pharmacokinetic characteristics of pharmaceuticals has been aided by advances in nanotechnology [2]. Polymeric nanoparticles (PNs) are particulate materials with a onedimensional size of at least 10-100 nm.…”

Section: Introductionmentioning

confidence: 99%

Implementation of Factorial Design to Optimize the Formulation Method of Ezetimibe Polymeric Nanoparticle by Homogenization Cum Ultra-Sonication Method

K.²,

et al. 2022

Int J App Pharm

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Objective: The objective of this study is to use a 23 factorial design to optimize the formulation factors of Ezetimibe polymeric nanoparticle. Methods: By varying formulation variables such as polymer concentration (hydroxyl propyl methyl cellulose composition) and process variables such as homogenization time (min) and ultra-sonication time, the formulation of polymeric nanoparticles was designed using a 23 factorial design and prepared using the homogenization cum ultra-sonication method (min). Particle size (nm), zeta potential (mV), polydispersity index, entrapment efficiency (%), drug content, in vitro drug release, in vitro release kinetic studies, and stability studies were used to analyse and optimize polymeric nanoparticles according to ICH criteria. Results: R7 formulation showed predicted and desired less particle size 87.0±3.64 nm; maximum zeta potential-33.4±2.32 mV; desired polydispersity index 0.488±0.20; maximum entrapment efficiency of 96.45±2.42 % and controlled dissolution release pattern of about 90.42±3.56% in 24h. Conclusion: The polymeric nanoparticle was formulated and optimized by the parameters like Particle Size (PS in nm), Polydispersity Index (PI), Zeta potential (Zp in mV), % Entrapment Efficiency and in vitro drug release for 24 h were evaluated. These parameters showed significant changes while formulating polymeric nanoparticles along with various formulation and process variables. From the release pattern data it was observed that PNs show a significant improvement of dissolution character of Ezetamibe. According to the findings, PNs have a controlled drug release pattern and can be used as a suitable drug delivery carrier for low solubility and poorly bioavailable drugs like Ezetamibe to improve its dissolution.

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Pharmaceutical Nanotechnology: A Therapeutic Revolution

Cited by 10 publications

References 10 publications

Nanocluster-Based Drug Delivery and Theranostic Systems: Towards Cancer Therapy

Nanocluster-Based Drug Delivery and Theranostic Systems: Towards Cancer Therapy

Design, 23 Factorial Optimization and in Vitro–in Vivo Pharmacokinetic Evaluation of Rosuvastatin Calcium Loaded Polymeric Nanoparticles

Implementation of Factorial Design to Optimize the Formulation Method of Ezetimibe Polymeric Nanoparticle by Homogenization Cum Ultra-Sonication Method

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