Optimization of paclitaxel-loaded poly (<scp>d</scp>,<scp>l</scp>-lactide-co-glycolide-N-<i>p</i>-maleimido benzoic hydrazide) nanoparticles size using artificial neural networks

Mostafavi, Seyed Hossein; Aghajani, Masoud; Amani, Amir; Darvishi, Behrad; Koopaei, Mona Noori; Pashazadeh, Ali; Maghazei, Mohamad Shahab; Alvandifar, Farhad; Nabipour, Iraj; Karami, Fahimeh; Assadi, Majid; Dinarvand, Rassoul

doi:10.3109/10837450.2014.930487

Cited by 9 publications

(3 citation statements)

References 30 publications

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“… 59 , 60 In precipitation method, frequency of collisions increase which leads to fusion of nanoparticles as concentration of polymer enhances. 61 …”

Section: Resultsmentioning

confidence: 99%

Investigation of Effective Parameters on Size of Paclitaxel Loaded PLGA Nanoparticles

Madani¹,

Esnaashari²,

Mujokoro³

et al. 2018

Adv Pharm Bull

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Purpose: The size of polymeric nanoparticles is considered as an effective factor in cancer therapy due to enterance into tumor tissue via the EPR effect. The purpose of this work was to investigate the effective parameters on poly(lactic-co-glycolic acid)-paclitaxel (PLGA –PTX) nanoparticles size.Methods: We prepared PLGA-PTX nanoparticles via single emulsion and precipitation methods with variable paremeters including drug concentration, aqueous to organic phase volume ratio, polymer concentration, sonication time and PVA concentration.Results: PLGA-PTX nanoparticles were characterized by dynamic light scattering (DLS) and scanning electron microscopy (SEM). The results exhibited that the diameter of nanoparticles enhanced with increasing drug, polymer and PVA concentrations whereas organic to aqueous phase volume ratio and sonication time required to the optimization for a given size.Conclusion: The precipitation method provides smaller nanoparticles compared to emulsion one. Variable parameters including drug concentration, aqueous to organic phase volume ratio, polymer concentration, sonication time and PVA concentration affect diameter of nanoparticles.

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“… 59 , 60 In precipitation method, frequency of collisions increase which leads to fusion of nanoparticles as concentration of polymer enhances. 61 …”

Section: Resultsmentioning

confidence: 99%

Investigation of Effective Parameters on Size of Paclitaxel Loaded PLGA Nanoparticles

Madani¹,

Esnaashari²,

Mujokoro³

et al. 2018

Adv Pharm Bull

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“…A new approach to evade the short half-life of the conventional drug and allow targeted delivery to tumor cells is drug targeting achieved by size engineering and surface modification [ 7 , 8 ]. Vasculatures in tumor presents several irregularities in contrast with normal vessels resulting in enhanced permeation and retention (EPR) effect [ 9 , 10 ] and this will cause the nanoparticles with diameters less than 100 nm being selectively taken up by tumor Vasculatures [ 8 , 11 ].…”

Section: Introductionmentioning

confidence: 99%

Improved anticancer delivery of paclitaxel by albumin surface modification of PLGA nanoparticles

et al. 2015

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BackgroundNanoparticles (NPs) play an important role in anticancer delivery systems. Surface modified NPs with hydrophilic polymers such as human serum albumin (HSA) have long half-life in the blood circulation system.MethodsThe method of modified nanoprecipitation was utilized for encapsulation of paclitaxel (PTX) in poly (lactic-co-glycolic acid) (PLGA). Para-maleimide benzoic hydrazide was conjugated to PLGA for the surface modifications of PLGA NPs, and then HSA was attached on the surface of prepared NPs by maleimide attachment to thiol groups (cysteines) of albumin. The application of HSA provides for the longer blood circulation of stealth NPs due to their escape from reticuloendothelial system (RES). Then the physicochemical properties of NPs like surface morphology, size, zeta potential, and in-vitro drug release were analyzed.ResultsThe particle size of NPs ranged from 170 to 190 nm and increased about 20–30 nm after HSA conjugation. The zeta potential was about -6 mV and it decreased further after HSA conjugation. The HSA conjugation in prepared NPs was proved by Fourier transform infrared (FT-IR) spectroscopy, faster degradation of HSA in Differential scanning calorimetry (DSC) characterization, and other evidences such as the increasing in size and the decreasing in zeta potential. The PTX released in a biphasic mode for all colloidal suspensions. A sustained release profile for approximately 33 days was detected after a burst effect of the loaded drug. The in vitro cytotoxicity evaluation also indicated that the HSA NPs are more cytotoxic than plain NPs.ConclusionsHSA decoration of PLGA NPs may be a suitable method for longer blood circulation of NPs.

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“…PDI and sedimentation time). The response surfaces (namely, 3D graphs) were applied to evaluate the variations in sedimentation time and PDI of nanosuspension against variations of two input variables, while another input variable was fixed at low, medium or high values [18,19].…”

Section: Artificial Neural Network Modelingmentioning

confidence: 99%

Optimizing microfluidic preparation parameters of nanosuspension to evaluate stability in nanoprecipitation of stable-iodine (127I)

et al. 2019

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The aim of the current study was the development of nanosuspension stability in nanoprecipitation using microfluidic devices. Also, it is desirable to understand how the microfluidic preparation parameters influenced the stability of the stable-iodine ( 127 I) nanosuspension. In optimization process through artificial neural networks (ANNs), the relations between input and output variables were investigated for 37 samples obtained by microfluidic nanoprecipitation process. Solvent temperature, antisolvent flow rate, and solvent flow rate were used as input variables, and the sedimentation time and polydispersity index (PDI) were considered as output parameters. Sedimentation time as an indicator of physical stability of nanosuspension was evaluated by observation of a densely packed sediment. Also, size and PDI of different samples were determined by dynamic light scattering. The size of the optimized sample was confirmed by transmission electron microscopy. The result obtained from modeling showed that increasing solvent temperature and antisolvent flow rate led to a decrease in PDI and an increase in the sedimentation time. The antisolvent flow rate was determined as the most important factor that affected the sedimentation time and PDI. Increasing the solvent flow rate was identified as an adverse factor which increased PDI or decreased formulation's sedimentation time. Optimization using ANN showed that microfluidic preparation parameters of nanosuspension as input variables had potential impacts on output parameters.

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Optimization of paclitaxel-loaded poly (d,l-lactide-co-glycolide-N-p-maleimido benzoic hydrazide) nanoparticles size using artificial neural networks

Cited by 9 publications

References 30 publications

Investigation of Effective Parameters on Size of Paclitaxel Loaded PLGA Nanoparticles

Investigation of Effective Parameters on Size of Paclitaxel Loaded PLGA Nanoparticles

Improved anticancer delivery of paclitaxel by albumin surface modification of PLGA nanoparticles

Optimizing microfluidic preparation parameters of nanosuspension to evaluate stability in nanoprecipitation of stable-iodine (127I)

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