scholarly journals Graphene Oxide/Reduced Graphene Oxide Enhanced Noniridescent Structural Colors Based on Silica Photonic Spray Paints with Improved Mechanical Robustness

Nanomaterials ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 949
Author(s):  
Jiali Yu ◽  
Cheng-Hao Lee ◽  
Chi-Wai Kan

In contrast to traditional pigment colors, structural colors have developed a great potential in practical applications, thanks to their unique nonfading and color tunable properties; especially amorphous photonic structures with noniridescent structural colors have attracted considerable attention and their applications have expanded to more fields. Herein, graphene oxide (GO) and reduced graphene oxide (RGO) enhanced noniridescent structural colors with excellent mechanical robustness were established by a time-saving approach named spray coating, which allows for rapid fabrication of angular independent structural colors by spraying different photonic spray paints (PSPs) to ensure color multiplicity that was adjusted by the silica nanoparticles (SiO2 NPs) sizes onto the substrates. The incorporation of poly(methyl methacrylate-butyl acrylate) (PMB) improved the adhesion existing among SiO2 inter-nanoparticles and between SiO2 NPs and the substrates, taking advantages of the low glass transition temperature (Tg) of butyl acrylate derivative polymer and made PMB embedded PSPs coated patterns being imparted with good mechanical robustness and abrasive resistance. The peculiar light adsorption of GO and RGO across visible light spectrum facilitate higher color saturation. The improvement in color saturation of GO and RGO doped PSPs is expected to boost the promising applications in structurally colored paintings, inks and other color-related optical fields.

Catalysts ◽  
2019 ◽  
Vol 9 (7) ◽  
pp. 607 ◽  
Author(s):  
Fei Yu ◽  
Xueting Bai ◽  
Changfu Yang ◽  
Lijie Xu ◽  
Jie Ma

Reduced graphene oxide–titanium dioxide photocatalyst (rGO–TiO2) was successfully synthesized by the hydrothermal method. The rGO–TiO2 was used as photocatalyst for the degradation of bisphenol A (BPA), which is a typical endocrine disruptor of the environment. Characterization of photocatalysts and photocatalytic experiments under different conditions were performed for studying the structure and properties of photocatalysts. The characterization results showed that part of the anatase type TiO2 was converted into rutile type TiO2 after hydrothermal treatment and 1% rGO–P25 had the largest specific surface area (52.174 m2/g). Photocatalytic experiments indicated that 1% rGO–P25 had the best catalytic effect, and the most suitable concentration was 0.5 g/L. When the solution pH was 5.98, the catalyst was the most active. Under visible light, the three photocatalytic mechanisms were ranked as follows: O2•− > •OH > h+. 1% rGO–P25 also had strong photocatalytic activity in the photocatalytic degradation of BPA under sunlight irradiation. 1% rGO–P25 with 0.5 g/L may be a very promising photocatalyst with a variety of light sources, especially under sunlight for practical applications.


2014 ◽  
Vol 1004-1005 ◽  
pp. 1013-1016 ◽  
Author(s):  
Chang Yi Kong ◽  
Yuuki Shiratori ◽  
Takeshi Sako ◽  
Futoshi Iwata

A green method to synthesize the reduced graphene oxide using supercritical fluid has been developed, which is an environmentally friendly and efficient route. The reduced graphene oxide has been examined by X-ray diffraction, Raman spectroscopy. We have also studied the effects of reduction temperatures and supercritical fluids on the electrical properties of reduced graphene oxide. It was found that ethanol has higher reducing capability than CO2at all temperatures (200 - 400°C) examined in this study for graphene oxide reduction. As a result, reduced graphene oxide (6300 S/m) from supercritical ethanol treatment has 5 times as high conductivity as that from supercritical CO2treatment at the reduction temperature of 400°C. This green process is applicable for large scale production of reduced graphene oxides for various practical applications.


2014 ◽  
Vol 67 (1) ◽  
pp. 71 ◽  
Author(s):  
Jinfeng Wang ◽  
Takuya Tsuzuki ◽  
Bin Tang ◽  
Lu Sun ◽  
Xiujuan J. Dai ◽  
...  

A novel recyclable and flexible membrane was prepared for the removal of oil spills and organic dye pollutants, by functionalizing polyester textiles with reduced graphene oxide@ZnO nanocomposites using a layer-by-layer technique. The membrane showed efficient water/oil separation, and the amount of oil adsorbed by the membrane could be up to 23 times its own weight. The adsorption capacity was largely retained during many adsorption recycling cycles. The membrane also displayed highly efficient removal of a dye pollutant from water under simulated sunlight. The membrane maintained a near-original removal efficiency after five cycles of dye removal. This new type of membrane may find practical applications in the large-scale separation of organic pollutants from water, particularly in the field of oil spills clean-up and dye removal from industrial effluent.


2020 ◽  
Vol 10 (18) ◽  
pp. 6230
Author(s):  
Rongqing Xu ◽  
Xin Zheng ◽  
Miao Chen ◽  
Lijun Sun ◽  
Jiangwei Chen ◽  
...  

Fabric-based strain sensors can be seamlessly integrated into wearable systems for monitoring various physiological signals. Although many different approaches have been proposed to increase the sensitivity of the fabric-based strain sensor, the linearity and stability in large strains are still challenging. In this paper, a fabric-based strain sensor with good linearity and stability was fabricated via a three-step dip-coating method. Specifically, the combination of multiwall carbon nanotubes and reduced graphene oxide was used as the conductive material to enhance the stability. Meanwhile, microfolded structures between two reduced graphene oxide layers were created via pre-stretching to achieve good linearity. Through mechanical experiments, the performance of the fabric-based strain sensor was characterized. In addition, the practical applications of the strain sensor were demonstrated by monitoring different physiological signals.


2019 ◽  
Vol 164 ◽  
pp. 222-226 ◽  
Author(s):  
Liujun Song ◽  
Xiaofei Chen ◽  
Yuhui Xie ◽  
Li Zhong ◽  
Xinya Zhang ◽  
...  

ACS Photonics ◽  
2018 ◽  
Vol 6 (1) ◽  
pp. 116-122 ◽  
Author(s):  
Zhijie Zhu ◽  
Jing Zhang ◽  
Yu-long Tong ◽  
Gang Peng ◽  
Tingting Cui ◽  
...  

2020 ◽  
Author(s):  
Christos E. Athanasiou ◽  
Mok Yun Jin ◽  
Cristina Ramirez ◽  
Nitin P. Padture ◽  
Brian W. Sheldon

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