Literature DB >> 33258584

Multifunctional Textiles/Metal-Organic Frameworks Composites for Efficient Ultraviolet Radiation Blocking and Noise Reduction.

Kun Zhang1,2, Zhi Yang1,2, Xue Mao1,2, Xue-Li Chen3, Hai-Hong Li4, Yao-Yu Wang5.   

Abstract

Ultraviolet radiation (UVR) and noise are the ubiquitous environmental hazards with considerable detrimental effects on the physiological and psychological health of humans. Exploiting efficient protective materials that can be extensively used in daily life for simultaneous anti-UVR and noise mitigation will be of crucial importance, but it is still a significant challenge in materials design. Herein, we developed a series of protective textiles for efficient anti-UVR and noise reduction via MOFs nanocrystal-modified cotton textiles. The formation of MOFs@cotton textiles was confirmed by using electron microscopy, X-ray diffraction, infrared spectroscopy, and X-ray photoelectron spectroscopy. The fabricated MOFs@cotton textiles exhibited substantial improvement in the UVR blocking and acoustic absorption properties compared to blank cotton textiles. Therefore, this work provides a good strategy for designing and preparing multifunctional protective textiles.

Entities:  

Keywords:  anti-ultraviolet radiation; metal−organic frameworks; noise reduction; surface modification; textiles

Year:  2020        PMID: 33258584     DOI: 10.1021/acsami.0c18147

Source DB:  PubMed          Journal:  ACS Appl Mater Interfaces        ISSN: 1944-8244            Impact factor:   9.229


  3 in total

1.  Nano-MIL-88A(Fe) Enabled Clear Cellulose Films with Excellent UV-Shielding Performance and Robust Environment Resistance.

Authors:  Lijian Sun; Xianhui An; Xueren Qian
Journal:  Nanomaterials (Basel)       Date:  2022-05-31       Impact factor: 5.719

2.  Design, preparation, and characterization of CS/PVA/SA hydrogels modified with mesoporous Ag2O/SiO2 and curcumin nanoparticles for green, biocompatible, and antibacterial biopolymer film.

Authors:  Ashkan Farazin; Mehdi Mohammadimehr; Amir Hossein Ghasemi; Hossein Naeimi
Journal:  RSC Adv       Date:  2021-10-06       Impact factor: 4.036

3.  Prediction of functional properties of nano [Formula: see text] coated cotton composites by artificial neural network.

Authors:  Nesrine Amor; Muhammad Tayyab Noman; Michal Petru
Journal:  Sci Rep       Date:  2021-06-10       Impact factor: 4.379

  3 in total

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