scholarly journals Four self-made free surface electrospinning devices for high-throughput preparation of high-quality nanofibers

2019 ◽  
Vol 10 ◽  
pp. 2261-2274 ◽  
Author(s):  
Yue Fang ◽  
Lan Xu

Four different self-made free surface electrospinning (FSE) techniques, namely, modified bubble-electrospinning (MBE), modified free surface electrospinning (MFSE), oblique section free surface electrospinning (OSFSE) and spherical section free surface electrospinning (SSFSE), designed for high-throughput preparation of high-quality nanofibers, are presented in this paper. The mechanisms of fiber preparation of the corresponding four FSE devices were studied by simulating the electric field distribution using the Maxwell 3D software. The properties of the electric field in the device are very important for the FSE process. The effects of the particular technique on the morphology and the yield of nanofibers were experimentally investigated. The experimental data agree well with the results of the simulations and show that all four FSE devices can be used to prepare large quantities of high-quality nanofibers. A comparison of the spinning mechanisms of these four FSE devices illustrates that the SSFSE device performs best, providing the highest quality and yield of nanofibers. The SSFE device could yield 20.03 g/h of nanofibers at an applied voltage of 40 kV.

2019 ◽  
Author(s):  
Yue Fang ◽  
Lan Xu

Four different self-made free surface electrospinning (FSE) devices, namely, modified bubble-electorspinning (MBE) device, modified free surface electorspinning (MFSE) device, oblique section free surface electorspinning (OSFSE) device and spherical section free surface electrospinning (SSFSE) device, were presented to obtain high-throughput preparation of high quality nanofibers in this paper. The preparation mechanisms of these four FSE device were studied by simulating the electric field distribution using Maxwell 3D, due to the importance of electric field in the FSE process. And the effects of them on the morphology and yield of nanofibers were investigated by experiments. The experimental data agreed with the simulation results of electric field, and showed these four FSE device all could be used to prepare high quality nanofibers in large quantities. Meanwhile, comparing the spinning effects of these four FSE device, the results illustrated the SSFSE device was the optimal FSE device because of the highest quality and yield of nanofibers, and its yield could reach 20.03 g/h at the applied voltage of 40 kV.


2020 ◽  
Vol 21 (9) ◽  
pp. 1945-1955 ◽  
Author(s):  
Adnan Ahmed ◽  
Lan Xu ◽  
Jing Yin ◽  
Mingdi Wang ◽  
Fawad Khan ◽  
...  

2020 ◽  
Author(s):  
Jing Yin ◽  
Adnan Ahmed ◽  
Lan Xu

This paper presented a self-made spherical section free surface electrospinning (SSFSE) using solution reservoirs with different depths for obtaining high-throughput production of nanofibers, and studied its preparation mechanism. The effects of the solution reservoir depth on the SSFSE process as well as the quality and yield of polyacrylonitrile (PAN) nanofibers were investigated experimentally using high-speed camera, precise electronic balance and scanning electron microscopy, and were analyzed theoretically by response surface methodology (RSM) and numerical simulation. The values predicted by the established RSM model and the electric field simulation results obtained by Maxwell 3D were all consistent with the experimental data, which showed that the solution reservoir depth had little effects on the quality of PAN nanofibers, but had great effects on the yields of them. When the maximum depth of solution reservoir was 4.29 mm, the PAN nanofibers prepared have the best quality and the highest yields.


2019 ◽  
Vol 126 (3) ◽  
pp. 350
Author(s):  
А.Б. Петрин

AbstractThe excitation and focusing of a surface plasmonic wave on the free surface of a metal film in the Kretschmann scheme have been considered based on the theory of reflection of a plane electromagnetic wave from a flat-layered structure. A method of exciting a radially convergent surface plasmonic wave is proposed. The electric-field distribution at the focus is quantitatively investigated, and the conditions for its maximization are determined. The applications of the results obtained are discussed.


2018 ◽  
Author(s):  
Daniel Hartleb ◽  
C. Jonathan Fritzemeier ◽  
Martin J. Lercher

AbstractWhile new genomes are sequenced at ever increasing rates, their phenotypic analysis remains a major bottleneck of biomedical research. The generation of genome-scale metabolic models capable of accurate phenotypic predictions is a labor-intensive endeavor; accordingly, such models are available for only a small percentage of sequenced species. The standard metabolic reconstruction process starts from a (semi-)automatically generated draft model, which is then refined through extensive manual curation. Here, we present a novel strategy suitable for full automation, which exploits high-throughput gene knockout or nutritional growth data. We test this strategy by reconstructing accurate genome-scale metabolic models for three strains ofStreptococcus, a major human pathogen. The resulting models contain a lower proportion of reactions unsupported by genomic evidence than the most widely usedE. colimodel, but reach the same accuracy in terms of knockout prediction. We confirm the models’ predictive power by analyzing experimental data for auxotrophy, additional nutritional environments, and double gene knockouts, and we generate a list of potential drug targets. Our results demonstrate the feasibility of reconstructing high-quality genome-scale metabolic models from high-throughput data, a strategy that promises to massively accelerate the exploration of metabolic phenotypes.Significance statementReading bacterial genomes has become a cheap, standard laboratory procedure. A genome by itself, however, is of little information value – we need a way to translate its abstract letter sequence into a model that describes the capabilities of its carrier. Until now, this endeavor required months of manual work by experts. Here, we show how this process can be automated by utilizing high-throughput experimental data. We use our novel strategy to generate highly accurate metabolic models for three strains ofStreptococcus, a major threat to human health.


Open Physics ◽  
2019 ◽  
Vol 17 (1) ◽  
pp. 313-319 ◽  
Author(s):  
Guojun Jiang ◽  
Lee Johnson ◽  
Sheng Xie

Abstract Free surface electrospinning is a continuous electrospinning method for low-cost, massive production of nanofibers. The interjet distance λ is a critical parameter in free surface electrospinning, which directly determines the nanofiber production efficiency. In this investigation, we studied the interjet distance during free surface electrospinning based on electrohydrodynamic instability theoretically and experimentally, with special interest focused on the effect of surface tension and electric field intensity on the interjet distance. The experimental results indicated that the critical parameters affecting the interjet distance were the surface tension and applied voltage, which was in good compliance with the theoretical prediction. The relationship between interjet distance λ and surface tension followed an allometric law with positive exponential function, and the relationship between interjet distance λ and applied voltage followed an allometric law with negative exponential function. The present results can be used to understand the basic parameters which determine the interjet distance in free surface electrospinning.


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