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  5. Preparation and adsorption application of PLA/GO/PDA nanofiber membrane

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Article
English
2024

Preparation and adsorption application of PLA/GO/PDA nanofiber membrane

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English
2024
Materials Research Express
Vol 11 (11)
DOI: 10.1088/2053-1591/ad87b3

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Ji-huan He
Ji-huan He

Soochow University

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Wei Li
Lei Zhao
Xuewu Zhu
+7 more

Abstract

In this study, polylactic acid/graphene oxide/Dopamine (PLA/GO/DA) porous nanofiber membrane was prepared by electrospinning. L 16 (4 3 ) orthogonal experiment was designed to investigate the effects of reaction temperature, reaction time, and DA concentration on the adsorption performance of DA oxidized and self-polymerized on the fiber. Based on the characterization of scanning electron microscopy and the determination of the adsorption performance of the fiber membrane to methylene blue (MB) dye, data visualization analysis, variance analysis, and F-test were conducted to determine the optimal process parameters: reaction temperature of 45 °C, reaction time of 30 h, and DA concentration of 2 mg ml −1 . PLA/GO/PDA(Polydopamine) nanofiber was prepared and characterized under the optimal process parameters. The results showed that the average diameter of the PDA-loaded nanofiber increased from 737 nm to 996 nm, and a layer of PDA with a thickness of about 129 nm was loaded on the outer surface of the fiber, making the contact angle of the fiber membrane with 0° and becoming a hydrophilic material. In adsorption performance testing of MB, the PLA/GO/PDA nanofiber membrane prepared based on the PLA/GO/DA fiber membrane with an adsorption rate of 98.81 % in 24 h was superior to the PLA/GO/PDA nanofiber membrane prepared based on the PLA/GO fiber membrane.

How to cite this publication

Wei Li, Lei Zhao, Xuewu Zhu, Ji-huan He, Deng‐Guang Yu, Qingsong Zhao, Kyukwan Zong, Chuanyi Wang, Chunlan Ma, Qian Bu (2024). Preparation and adsorption application of PLA/GO/PDA nanofiber membrane. Materials Research Express, 11(11), pp. 115006-115006, DOI: 10.1088/2053-1591/ad87b3.

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Publication Details

Type

Article

Year

2024

Authors

10

Datasets

0

Total Files

0

Language

English

Journal

Materials Research Express

DOI

10.1088/2053-1591/ad87b3

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