Optimization and predictive modelling for the diameter of nylon-6,6 nanofibers via electrospinning for coronavirus face masks

Zeraati, Malihe; Pourmohamad, Rana; Baghchi, Bahareh; Chauhan, Narendra Pal Singh; Sargazi, Ghasem

doi:10.1016/j.jscs.2021.101348

Cited by 14 publications

(12 citation statements)

References 54 publications

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“…Li et al studied the effect of self-assembly on fluorescent in magnetic fluid flow and its use for a new COVID-19 detection [ 149 ]. Recently, many studies have been done on various subjects about COVID-19, such as scheduling problems [ 153 ], climate change [ 154 ], sunspot assessment [ 155 ], disease severity and industry [ 156 ], energy after COVID-19 pandemic, travel-related risks among pandemics [ 157 ], and predictive modeling [ 148 ].…”

Section: Discussionmentioning

confidence: 99%

The Progress of Medical Image Semantic Segmentation Methods for Application in COVID‐19 Detection

Valizadeh

Shariatee

2021

Computational Intelligence and Neuroscience

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Image medical semantic segmentation has been employed in various areas, including medical imaging, computer vision, and intelligent transportation. In this study, the method of semantic segmenting images is split into two sections: the method of the deep neural network and previous traditional method. The traditional method and the published dataset for segmentation are reviewed in the first step. The presented aspects, including all-convolution network, sampling methods, FCN connector with CRF methods, extended convolutional neural network methods, improvements in network structure, pyramid methods, multistage and multifeature methods, supervised methods, semiregulatory methods, and nonregulatory methods, are then thoroughly explored in current methods based on the deep neural network. Finally, a general conclusion on the use of developed advances based on deep neural network concepts in semantic segmentation is presented.

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Section: Discussionmentioning

confidence: 99%

The Progress of Medical Image Semantic Segmentation Methods for Application in COVID‐19 Detection

Valizadeh

Shariatee

2021

Computational Intelligence and Neuroscience

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Section: Electrospun Nanofiber-based Face Masksmentioning

confidence: 99%

“…All the properties described above have led electrospun nanofibers to be increasingly used in the design and production of face masks all over the world. , Up to now, the following materials have been studied for use as passive filtration membranes in nanofiber mats: nylon-6.6, nylon-6, − polycaprolactone, poly(ethylene terephthalate), silk fibroin, polylactic acid, poly(methyl methacrylate), polybutylene succinate, polyacrylonitrile, , and polyvinylidene fluoride. , …”

Section: Electrospun Nanofiber-based Face Masksmentioning

confidence: 99%

Nanotechnology Transition Roadmap toward Multifunctional Stimuli-Responsive Face Masks

Zakrzewska

Bayan

Nakielski

et al. 2022

ACS Appl. Mater. Interfaces

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In recent times, the use of personal protective equipment, such as face masks or respirators, is becoming more and more critically important because of common pollution; furthermore, face masks have become a necessary element in the global fight against the COVID-19 pandemic. For this reason, the main mission of scientists has become the development of face masks with exceptional properties that will enhance their performance. The versatility of electrospun polymer nanofibers has determined their suitability as a material for constructing “smart” filter media. This paper provides an overview of the research carried out on nanofibrous filters obtained by electrospinning. The progressive development of the next generation of face masks whose unique properties can be activated in response to a specific external stimulus is highlighted. Thanks to additional components incorporated into the fiber structure, filters can, for example, acquire antibacterial or antiviral properties, self-sterilize the structure, and store the energy generated by users. Despite the discovery of several fascinating possibilities, some of them remain unexplored. Stimuli-responsive filters have the potential to become products of large-scale availability and great importance to society as a whole.

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“…Virus spikes (mainly proteins) act as anchors to host cells and virus-carrying. Some viruses, like coronaviruses, possess more spikes than others [33]. Coronaviruses like SARS-CoV-2, SARS-CoV, and MERS-CoV, are capsulated viruses with positive single-chain RNA genes.…”

Section: Characteristics and Transmission Routes Of Covid-19mentioning

confidence: 99%

Recent progress of filtration mechanism to fabricate the effective COVID-masks: A review

Singh

Dolatabadi

Tripathi

et al. 2021

jcc

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In the current pandemic COVID-19, which started in late 2019, humans throughout the globe are living in a situation, where all aspects of their lives either social, economic, or emotional have been affected. To inhibit the COVID-19 spread, using face masks in addition to social distancing and hand sanitation is suggested. In this survey, the idea of injecting natural agents that are biologically active into textile nanofibers is presented. Furthermore, we present recent trends which, affect the filtration efficiency of mask material. There is a wide variety of electro spinners on the market, which are easy to consume, secure, battery-powered, and handy that can be utilized to achieve the electrospun nanofiber mattresses without difficulty. The appropriate electrospun filter mats can be applied in the fully made mask. Choosing the right voltage, the right concentration, and the space in the middle of the syringe needle and the holding gatherer is of significant importance for the synthesis of uniform nanofibers.

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Optimization and predictive modelling for the diameter of nylon-6,6 nanofibers via electrospinning for coronavirus face masks

Cited by 14 publications

References 54 publications

The Progress of Medical Image Semantic Segmentation Methods for Application in COVID‐19 Detection

The Progress of Medical Image Semantic Segmentation Methods for Application in COVID‐19 Detection

Nanotechnology Transition Roadmap toward Multifunctional Stimuli-Responsive Face Masks

Recent progress of filtration mechanism to fabricate the effective COVID-masks: A review

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