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Lou CW, Xie MM, Yang YD, Wang HY, Wang ZK, Zhang L, Hsieh CT, Liu LY, Lin MC, Li TT. Carbon Nanofiber Membranes Loaded with MXene@g-C 3N 4: Preparation and Photocatalytic Property. NANOMATERIALS (BASEL, SWITZERLAND) 2024; 14:896. [PMID: 38786852 PMCID: PMC11124281 DOI: 10.3390/nano14100896] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/23/2024] [Revised: 05/15/2024] [Accepted: 05/17/2024] [Indexed: 05/25/2024]
Abstract
In this study, a Ti3C2 MXene@g-C3N4 composite powder (TM-CN) was prepared by the ultrasonic self-assembly method and then loaded onto a carbon nanofiber membrane by the self-assembly properties of MXene for the treatment of organic pollutants in wastewater. The characterization of the TM-CN and the C-TM-CN was conducted via X-ray diffraction (XRD), scanning electron microscopy (SEM), X-ray photoelectron spectroscopy (XPS), and Fourier transform infrared spectrometer (FTIR) to ascertain the successful modification. The organic dye degradation experiments demonstrated that introducing an appropriate amount of Ti3C2 MXene resulted in the complete degradation of RhB within 60 min, three times the photocatalytic efficiency of a pure g-C3N4. The C-TM-CN exhibited the stable and outstanding photocatalytic degradation of the RhB solution over a wide range of pH values, indicating the characteristics of the photodegradation of organic pollutants in a wide range of aqueous environments. Furthermore, the results of the cyclic degradation experiments demonstrated that the C-TM-CN composite film maintained a degradation efficiency of over 85% after five cycles, thereby confirming a notable improvement in its cyclic stability. Consequently, the C-TM-CN composite film exhibits excellent photocatalytic performance and is readily recyclable, making it an auspicious eco-friendly material in water environment remediation.
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Affiliation(s)
- Ching-Wen Lou
- Innovation Platform of Intelligent and Energy-Saving Textiles, School of Textile Science and Engineering, Tiangong University, Tianjin 300387, China
- Department of Bioinformatics and Medical Engineering, Asia University, Taichung 413305, Taiwan
- Department of Medical Research, China Medical University Hospital, China Medical University, Taichung 404333, Taiwan
| | - Meng-Meng Xie
- Innovation Platform of Intelligent and Energy-Saving Textiles, School of Textile Science and Engineering, Tiangong University, Tianjin 300387, China
| | - Yan-Dong Yang
- Innovation Platform of Intelligent and Energy-Saving Textiles, School of Textile Science and Engineering, Tiangong University, Tianjin 300387, China
| | - Hong-Yang Wang
- Tianjin Fire Science and Technology Research Institute of MEM, Tianjin 300381, China
| | - Zhi-Ke Wang
- Innovation Platform of Intelligent and Energy-Saving Textiles, School of Textile Science and Engineering, Tiangong University, Tianjin 300387, China
| | - Lu Zhang
- Innovation Platform of Intelligent and Energy-Saving Textiles, School of Textile Science and Engineering, Tiangong University, Tianjin 300387, China
- Tianjin and Ministry of Education Key Laboratory for Advanced Textile Composite Materials, Tiangong University, Tianjin 300387, China
| | - Chien-Teng Hsieh
- Department of Fashion Design and Merchandising, Shih Chien University, Kaohsiung 84550, Taiwan
| | - Li-Yan Liu
- Innovation Platform of Intelligent and Energy-Saving Textiles, School of Textile Science and Engineering, Tiangong University, Tianjin 300387, China
- Tianjin and Ministry of Education Key Laboratory for Advanced Textile Composite Materials, Tiangong University, Tianjin 300387, China
| | - Mei-Chen Lin
- Department of Biomedical Engineering, College of Biomedical Engineering, China Medical University, Taichung 404333, Taiwan
| | - Ting-Ting Li
- Innovation Platform of Intelligent and Energy-Saving Textiles, School of Textile Science and Engineering, Tiangong University, Tianjin 300387, China
- Tianjin and Ministry of Education Key Laboratory for Advanced Textile Composite Materials, Tiangong University, Tianjin 300387, China
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Chen C, Wang B, Xu J, Fei L, Raza S, Li B, Zeng Q, Shen L, Lin H. Recent Advancement in Emerging MXene-Based Photocatalytic Membrane for Revolutionizing Wastewater Treatment. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2024:e2311427. [PMID: 38733219 DOI: 10.1002/smll.202311427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 04/23/2024] [Indexed: 05/13/2024]
Abstract
MXene-based photocatalytic membranes provide significant benefits for wastewater treatment by effectively combining membrane separation and photocatalytic degradation processes. MXene represents a pioneering 2D photocatalyst with a variable elemental composition, substantial surface area, abundant surface terminations, and exceptional photoelectric performance, offering significant advantages in producing high-performance photocatalytic membranes. In this review, an in-depth overview of the latest scientific progress in MXene-based photocatalytic membranes is provided. Initially, a brief introduction to the structure and photocatalytic capabilities of MXene is provided, highlighting their pivotal role in promoting the photocatalytic process. Subsequently, in pursuit of the optimal MXene-based photocatalytic membrane, critical factors such as the morphology, hydrophilicity, and stability of MXenes are meticulously taken into account. Various preparation strategies for MXene-based photocatalytic membranes, including blending, vacuum filtration, and dip coating, are also discussed. Furthermore, the application and mechanism of MXene-based photocatalytic membranes in micropollutant removal, oil-water separation, and antibacterial are examined. Lastly, the challenges in the development and practical application of MXene-based photocatalytic membranes, as well as their future research direction are delineated.
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Affiliation(s)
- Cheng Chen
- College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua, 321004, China
- Key Laboratory of Watershed Earth Surface Processes and Ecological Security, Zhejiang Normal University, Jinhua, 321004, China
| | - Boya Wang
- College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua, 321004, China
- Key Laboratory of Watershed Earth Surface Processes and Ecological Security, Zhejiang Normal University, Jinhua, 321004, China
| | - Jiujing Xu
- College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua, 321004, China
- Key Laboratory of Watershed Earth Surface Processes and Ecological Security, Zhejiang Normal University, Jinhua, 321004, China
| | - Lingya Fei
- College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua, 321004, China
- Key Laboratory of Watershed Earth Surface Processes and Ecological Security, Zhejiang Normal University, Jinhua, 321004, China
| | - Saleem Raza
- College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua, 321004, China
| | - Bisheng Li
- College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua, 321004, China
- Key Laboratory of Watershed Earth Surface Processes and Ecological Security, Zhejiang Normal University, Jinhua, 321004, China
| | - Qianqian Zeng
- College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua, 321004, China
- Key Laboratory of Watershed Earth Surface Processes and Ecological Security, Zhejiang Normal University, Jinhua, 321004, China
| | - Liguo Shen
- College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua, 321004, China
- Key Laboratory of Watershed Earth Surface Processes and Ecological Security, Zhejiang Normal University, Jinhua, 321004, China
| | - Hongjun Lin
- College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua, 321004, China
- Key Laboratory of Watershed Earth Surface Processes and Ecological Security, Zhejiang Normal University, Jinhua, 321004, China
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Zhu B, Guo C, Li N, Liu P, Zhang M, Wang L, Xu Z. From Sheep Track to Motorway: Supramolecular-Mediated 2D Nanofluidic Channels for Ultrafast Water Transport. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2024; 20:e2309253. [PMID: 38126674 DOI: 10.1002/smll.202309253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 12/05/2023] [Indexed: 12/23/2023]
Abstract
Atomic thick 2D materials hold great potential as building blocks to construct highly permeable membranes, yet the permeability of laminar 2D material membranes is still limited by their irregularity sheep track-like interlayer channels. Herein, a supramolecular-mediated strategy to induce the regular assembly of high-throughput 2D nanofluidic channels based on host-guest interactions is proposed. Inspired by the characteristics of motorways, supramolecular-mediated ultrathin 2D membranes with broad and continuous regular water transport channels are successfully constructed using graphene oxide (GO) as an example. The prepared membrane achieves an ultrahigh water permeability (369.94 LMH bar-1) more than six times higher than that of the original membranes while maintaining dye rejection above 98.5%, which outperforms the reported 2D membranes. Characterization and simulation results show that the introduction of hyaluronate-grafted β-cyclodextrin not only expands the interlayer channels of GO membranes but also enables the membranes to operate stably under harsh conditions with the help of host-guest interactions. This universal supramolecular assembly strategy provides new opportunities for the preparation of 2D membranes with high separation performance and reliable and stable nanofluidic channels.
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Affiliation(s)
- Bo Zhu
- State Key Laboratory of Separation Membranes and Membrane Processes, School of Textile Science and Engineering, Tiangong University, Tianjin, 300387, China
| | - Changsheng Guo
- School of Textile Materials and Engineering, Wuyi University, Jiangmen, 529020, China
| | - Nan Li
- Tiangong University, Tianjin, 300387, China
| | - Pengbi Liu
- School of Textile Materials and Engineering, Wuyi University, Jiangmen, 529020, China
| | - Mengchen Zhang
- School of Biotechnology and Health Sciences, Wuyi University, Jiangmen, 529020, China
| | - Lijing Wang
- State Key Laboratory of Separation Membranes and Membrane Processes, School of Textile Science and Engineering, Tiangong University, Tianjin, 300387, China
| | - Zhiwei Xu
- State Key Laboratory of Separation Membranes and Membrane Processes, School of Textile Science and Engineering, Tiangong University, Tianjin, 300387, China
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Lin TE, Chien MC, Chen PF, Yang PW, Chang HE, Wang DH, Lin TY, Hsu YJ. A Sensor-Integrated Face Mask Using Au@SnO 2 Nanoparticle Modified Fibers and Augmented Reality Technology. ACS OMEGA 2022; 7:42233-42241. [PMID: 36440160 PMCID: PMC9685760 DOI: 10.1021/acsomega.2c04655] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Accepted: 10/11/2022] [Indexed: 06/16/2023]
Abstract
In this work, we develop a wireless sensor-integrated face mask using Au@SnO2 nanoparticle-modified conductive fibers based on augmented reality (AR) technology. AR technology enables the overlay of real objects and environments with virtual 3D objects and allows virtual interactions with real objects to create desired meanings. With the help of the AR system, the size of the mask could be precisely estimated and then manufactured using 3D printing technology. The body temperature sensor and respiratory sensor were integrated into the mask so that vital parameters of the human body could be continuously monitored without removing the personal protective equipment. Furthermore, the outer part of the mask consists of conductive fabric modified with Au@SnO2 core-shell nanoparticle additives, which enhanced the filtration efficiency of airborne aerosols. A significant improvement in the filtration efficiency of particulate matter 2.5 was observed after applying an external voltage to the conductive textiles. A smartwatch with a heart rate sensor was paired with the mask to display sensor data on the mask through wireless transmission. Therefore, this sensor-integrated mask system with AR technology provides the first line of defense to combat global threats from pathogens and air pollutants.
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Affiliation(s)
- Tzu-En Lin
- Institute
of Biomedical Engineering, Department of Electrical and Computer Engineering, National Yang Ming Chiao Tung University, 30010 Hsinchu, Taiwan
| | - Ming-Chun Chien
- Institute
of Biomedical Engineering, Department of Electrical and Computer Engineering, National Yang Ming Chiao Tung University, 30010 Hsinchu, Taiwan
| | - Po-Feng Chen
- Institute
of Biomedical Engineering, Department of Electrical and Computer Engineering, National Yang Ming Chiao Tung University, 30010 Hsinchu, Taiwan
| | - Pei-Wen Yang
- Institute
of Biomedical Engineering, Department of Electrical and Computer Engineering, National Yang Ming Chiao Tung University, 30010 Hsinchu, Taiwan
| | - Huai-En Chang
- Department
of Material Science, National Yang Ming
Chiao Tung University, 30010 Hsinchu, Taiwan
| | - Ding-Han Wang
- College
of Dentistry, National Yang Ming Chiao Tung
University, 11221 Taipei, Taiwan
| | - Tung-Yi Lin
- Institute
of Traditional Medicine, National Yang Ming
Chiao Tung University, Taipei 11221, Taiwan
- Biomedical
Industry Ph.D. Program, National Yang Ming
Chiao Tung University, Taipei 11221, Taiwan
| | - Yung-Jung Hsu
- Department
of Material Science, National Yang Ming
Chiao Tung University, 30010 Hsinchu, Taiwan
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