Morphological Conversion to Aligned Electrospun Fibers through the Enhancement of Electric Field Caused by Addition of Silver Nitrate

التفاصيل البيبلوغرافية
العنوان: Morphological Conversion to Aligned Electrospun Fibers through the Enhancement of Electric Field Caused by Addition of Silver Nitrate
المؤلفون: Shin-ichiro Suye, Eiichiro Takamura, Hiroaki Sakamoto, Haitao Wang
المصدر: Fibers and Polymers. 22:3068-3074
بيانات النشر: Springer Science and Business Media LLC, 2021.
سنة النشر: 2021
مصطلحات موضوعية: Silver nitrate, chemistry.chemical_compound, Morphology (linguistics), Materials science, Polymers and Plastics, chemistry, General Chemical Engineering, Electric field, General Chemistry, Composite material, Conductivity, Spinning, Electrospinning
الوصف: Aligned electrospun fibers have always been obtained through various physical methods such as collector replacement or collecting acceleration. However, that faces a huge challenge for experimental complexity and risk. Here, adding a small amount of silver nitrate into electrospun solutions was confirmed as an effective approach that could change the final morphology of electrospun fibers to be aligned. Experiments had proved that electrospun fibers which were usually chaotic and disorderly at 500 rpm tend to form extremely aligned fibers after adding 0.1 wt% of silver nitrate. This conversion was considered that caused by the addition of silver nitrate which increases the conductivity of the electrospun solution and causes the mutual electric field to change during the spinning process. It turned the behavior of electrospinning in a twisting angle, which was originally disordered, into the result of cluster electrospinning. This method was expected to generate far-reaching significance for the development of aligned electrospun fibers.
تدمد: 1875-0052
1229-9197
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::c6b404ad294cb395a74f33f3de32571bTest
https://doi.org/10.1007/s12221-021-0434-yTest
حقوق: CLOSED
رقم الانضمام: edsair.doi...........c6b404ad294cb395a74f33f3de32571b
قاعدة البيانات: OpenAIRE