A rapid millifluidic synthesis of tunable polymer-protein nanoparticles

Seaberg, Joshua; Kaabipour, Sina; Hemmati, Shohreh; Ramsey, Joshua D.

doi:10.1016/j.ejpb.2020.07.006

Cited by 18 publications

(13 citation statements)

References 55 publications

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“…To address these challenges, millimeter-scale flow reactors (referred to as “millifluidic reactors” or “millireactors”) have been recently developed and employed to produce both inorganic and organic nanomaterials, at volumetric flow rates up to 18 mL/min [ 23 , 29 , 33 , 35 , 36 , 37 , 38 , 39 ]. Notably, scaling-up in these earlier studies enabled increased particle production capacity, while still retaining the fluidic controllability over particle’s properties.…”

Section: Introductionmentioning

confidence: 99%

Continuous-Flow Production of Liposomes with a Millireactor under Varying Fluidic Conditions

et al. 2020

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Continuous-flow production of liposomes using microfluidic reactors has demonstrated advantages compared to batch methods, including greater control over liposome size and size distribution and reduced reliance on post-production processing steps. However, the use of microfluidic technology for the production of nanoscale vesicular systems (such as liposomes) has not been fully translated to industrial scale yet. This may be due to limitations of microfluidic-based reactors, such as low production rates, limited lifetimes, and high manufacturing costs. In this study, we investigated the potential of millimeter-scale flow reactors (or millireactors) with a serpentine-like architecture, as a scalable and cost-effective route to the production of nanoscale liposomes. The effects on liposome size of varying inlet flow rates, lipid type and concentration, storage conditions, and temperature were investigated. Liposome size (i.e., mean diameter) and size dispersity were characterised by dynamic light scattering (DLS); z-potential measurements and TEM imaging were also carried out on selected liposome batches. It was found that the lipid type and concentration, together with the inlet flow settings, had significant effects on the properties of the resultant liposome dispersion. Notably, the millifluidic reactor was able to generate liposomes with size and dispersity ranging from 54 to 272 nm, and from 0.04 to 0.52 respectively, at operating flow rates between 1 and 10 mL/min. Moreover, when compared to a batch ethanol-injection method, the millireactor generated liposomes with a more therapeutically relevant size and size dispersity.

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Section: Introductionmentioning

confidence: 99%

Continuous-Flow Production of Liposomes with a Millireactor under Varying Fluidic Conditions

et al. 2020

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“…These novel reactor systems offer similar advantages to microfluidic ones, while being easier to fabricate, simpler to reconstruct, and even more adaptable for in situ monitoring characterizations. A larger surface to volume ratio and precisely controlled flow patterns that consequently increase heat and mass transfer rate, coupled with inherent safety are among other advantages of flow millifluidic platforms [66,387,388]. The application of a continuous millifluidic reactor has the potential to be a method to overcome the challenges in batch green 1D silver nanostructure synthesis through control of a uniform chemical and thermal reaction environment in a small reaction volume.…”

Section: Discussionmentioning

confidence: 99%

A review on the green and sustainable synthesis of silver nanoparticles and one-dimensional silver nanostructures

Kaabipour¹,

Hemmati²

2021

Beilstein J. Nanotechnol.

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The significance of silver nanostructures has been growing considerably, thanks to their ubiquitous presence in numerous applications, including but not limited to renewable energy, electronics, biosensors, wastewater treatment, medicine, and clinical equipment. The properties of silver nanostructures, such as size, size distribution, and morphology, are strongly dependent on synthesis process conditions such as the process type, equipment type, reagent type, precursor concentration, temperature, process duration, and pH. Physical and chemical methods have been among the most common methods to synthesize silver nanostructures; however, they possess substantial disadvantages and short-comings, especially compared to green synthesis methods. On the contrary, the number of green synthesis techniques has been increasing during the last decade and they have emerged as alternative routes towards facile and effective synthesis of silver nanostructures with different morphologies. In this review, we have initially outlined the most common and popular chemical and physical methodologies and reviewed their advantages and disadvantages. Green synthesis methodologies are then discussed in detail and their advantages over chemical and physical methods have been noted. Recent studies are then reviewed in detail and the effects of essential reaction parameters, such as temperature, pH, precursor, and reagent concentration, on silver nanostructure size and morphology are discussed. Also, green synthesis techniques used for the synthesis of one-dimensional (1D) silver nanostructures have been reviewed, and the potential of alternative green reagents for their synthesis has been discussed. Furthermore, current challenges regarding the green synthesis of 1D silver nanostructures and future direction are outlined. To sum up, we aim to show the real potential of green nanotechnology towards the synthesis of silver nanostructures with various morphologies (especially 1D ones) and the possibility of altering current techniques towards more environmentally friendly, more energy-efficient, less hazardous, simpler, and cheaper procedures.

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“…The purpose of training a perceptron is to find the values of its weights, so that the perceptron generates the correct values for the training examples. Different kinds of numerical calculations [68][69][70][71][72][73][74][75][76][77][78] and soft computing [79][80][81][82][83][84][85][86] have been used in various fields such as electrical engineering problems [87][88][89][90][91][92][93][94][95][96][97][98][99][100][101][102], computer sciences problems [103,104], and basic sciences [105][106][107][108][109], etc. In this paper, the perceptron learning algorithm is as follows-this algorithm is shown in Figure 4 as a flowchart:…”

Section: Artificial Neural Networkmentioning

confidence: 99%

Extraction of Time-Domain Characteristics and Selection of Effective Features Using Correlation Analysis to Increase the Accuracy of Petroleum Fluid Monitoring Systems

et al. 2022

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In the current paper, a novel technique is represented to control the liquid petrochemical and petroleum products passing through a transmitting pipe. A simulation setup, including an X-ray tube, a detector, and a pipe, was conducted by Monte Carlo N Particle-X version (MCNPX) code to examine a two-by-two mixture of four diverse petroleum products (ethylene glycol, crude oil, gasoline, and gasoil) in various volumetric ratios. As the feature extraction system, twelve time characteristics were extracted from the received signal, and the most effective ones were selected using correlation analysis to present reasonable inputs for neural network training. Three Multilayers perceptron (MLP) neural networks were applied to indicate the volume ratio of three kinds of petroleum products, and the volume ratio of the fourth product can be feasibly achieved through the results of the three aforementioned networks. In this study, increasing accuracy was placed on the agenda, and an RMSE < 1.21 indicates this high accuracy. Increasing the accuracy of predicting volume ratio, which is due to the use of appropriate characteristics as the neural network input, is the most important innovation in this study, which is why the proposed system can be used as an efficient method in the oil industry.

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A rapid millifluidic synthesis of tunable polymer-protein nanoparticles

Cited by 18 publications

References 55 publications

Continuous-Flow Production of Liposomes with a Millireactor under Varying Fluidic Conditions

Continuous-Flow Production of Liposomes with a Millireactor under Varying Fluidic Conditions

A review on the green and sustainable synthesis of silver nanoparticles and one-dimensional silver nanostructures

Extraction of Time-Domain Characteristics and Selection of Effective Features Using Correlation Analysis to Increase the Accuracy of Petroleum Fluid Monitoring Systems

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