4.6 Article

Construction of superhydrophilic and under-water superoleophobic carbon-based membranes for water purification

期刊

RSC ADVANCES
卷 6, 期 77, 页码 73399-73403

出版社

ROYAL SOC CHEMISTRY
DOI: 10.1039/c6ra14310e

关键词

-

资金

  1. Ningbo Natural Science Foundation [2015A610022]
  2. Open Research Fund of Key Laboratory of Marine Materials and Related Technologies [2016Z01]
  3. Zhejiang Nonprofit Technology Applied Research Program [2015C33031]
  4. Youth Innovation Promotion Association of Chinese Academy of Sciences [2016268]

向作者/读者索取更多资源

Although the rapid development of membrane separation materials has provided a solution for the treatment of oil pollution, new membranes with functionality are also recommended for oil/water separation. Based on the micro-/nano-sized pore of carbon nanotubes (CNTs) membranes, polyacrylic acid (PAA) brushes were grafted via free radical polymerization, then silver nanoparticles (Ag NPs) were loaded, and Ag/PAA-CNTs hybrid membranes have thus been constructed. Such membranes are capable of separating oil-in-water emulsions because of their hydrophilicity and underwater oleophobicity, moreover, the loaded Ag NPs provide antibacterial function, which maybe open a new window to achieve multifunctional materials for water treatment.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Oncology

Chemotherapy initiation with single-course methotrexate alone or combined with dactinomycin versus multi-course methotrexate for low-risk gestational trophoblastic neoplasia: a multi-centric randomized clinical trial

Lili Chen, Ling Xi, Jie Jiang, Rutie Yin, Pengpeng Qu, Xiuqin Li, Xiaoyun Wan, Yaxia Chen, Dongxiao Hu, Yuyan Mao, Zimin Pan, Xiaodong Cheng, Xinyu Wang, Qingli Li, Danhui Weng, Xi Zhang, Hong Zhang, Quanhong Ping, Xiaomei Liu, Xing Xie, Beihua Kong, Ding Ma, Weiguo Lu

Summary: This study evaluated the efficacy and safety of single-course initial regimens in low-risk gestational trophoblastic neoplasia patients. The results showed that single-course MTX may be a new treatment option, demonstrating similar effectiveness to multi-course MTX and could be considered for low-risk GTN patients.

FRONTIERS OF MEDICINE (2022)

Article Chemistry, Physical

Coupled Tamm plasmon polaritons induced narrow bandpass filter with ultra-wide stopband

Qingquan Liu, Xinchao Zhao, Chenlu Li, Xinglei Zhou, Yu Chen, Shaowei Wang, Wei Lu

Summary: In this article, a coupled Tamm plasmon polaritons induced transmission theory was proposed to design high-efficiency narrow bandpass filters (NBPFs) with ultra-wide deep stopbands. An experiment with an NBPF at 1.55 mu m demonstrated a wider stopband and stronger restraint ability compared to traditional filters. This provides a powerful method for capturing specific narrowband optical signals from ultra-wide strong ambient light, particularly useful for daytime quantum communications.

NANO RESEARCH (2022)

Article Engineering, Biomedical

Deep-learning and radiomics ensemble classifier for false positive reduction in brain metastases segmentation

Zi Yang, Mingli Chen, Mahdieh Kazemimoghadam, Lin Ma, Strahinja Stojadinovic, Robert Timmerman, Tu Dan, Zabi Wardak, Weiguo Lu, Xuejun Gu

Summary: Stereotactic radiosurgery (SRS) is the standard of care for brain metastases (BMs) patients. However, precise target delineation can be a time bottleneck in clinical workflow for patients with multiple BMs (mBMs). To address this, an automated BMs segmentation platform was developed, but its accuracy was influenced by false-positive segmentations caused by MRI contrast injection. To improve segmentation performance, a deep-learning and radiomics ensemble classifier was developed, consisting of a Siamese network and a radiomic-based support vector machine (SVM) classifier. The proposed model achieved high accuracy and effectively reduced false positives in BMs segmentation.

PHYSICS IN MEDICINE AND BIOLOGY (2022)

Article Engineering, Electrical & Electronic

Dynamic resistive switching devices for neuromorphic computing

Yuting Wu, Xinxin Wang, Wei D. Lu

Summary: Memristive devices have rich dynamics due to internal state variables determining conductance, which may serve as building blocks for biofaithful neuromorphic systems; these devices can be utilized in compute-in-memory architectures to process temporal data efficiently, implementing synaptic and neuronal functions effectively.

SEMICONDUCTOR SCIENCE AND TECHNOLOGY (2022)

Article Oncology

Gestational trophoblastic neoplasia with extrauterine metastasis but lacked uterine primary lesions: a single center experience and literature review

Jingnan Li, Yu Wang, Bingjian Lu, Weiguo Lu, Xing Xie, Yuanming Shen

Summary: This study investigated a special type of gestational trophoblastic neoplasia (GTN) that only presented with extrauterine metastases without uterine primary lesions. The study found that this condition is prone to misdiagnosis, but the detection of serum hCG can help reduce misdiagnosis. Combined chemotherapy and individualized surgery should be considered for these special GTN patients.

BMC CANCER (2022)

Article Orthopedics

Serum β-catenin changes vary among different stages of osteonecrosis of the femoral head: an exploratory biomarker study

Junyuan Huang, Yingchun Zhou, Wei Xiao, Peng Deng, Qiushi Wei, Weiguo Lu

Summary: The increased level of beta-catenin may play a vital role in the progression of Osteonecrosis of the femoral head (ONFH), and the level of beta-catenin is correlated with ARCO stages. The cut-off concentration may be used as a sensitive marker to assess the disease process of ONFH.

BMC MUSCULOSKELETAL DISORDERS (2022)

Article Reproductive Biology

High expression of RIPK2 is associated with Taxol resistance in serous ovarian cancer

Yuqing Shen, Hui Lin, Kelie Chen, Wanzhong Ge, Dajing Xia, Yihua Wu, Weiguo Lu

Summary: This study revealed the mechanism of Taxol resistance in serous ovarian cancer, demonstrating the association between high expression of RIPK2 and Taxol resistance. RIPK2 was found to induce Taxol resistance through the activation of the NOD1/RIPK2/NF-kappa B inflammatory pathway and changes in the tumor microenvironment.

JOURNAL OF OVARIAN RESEARCH (2022)

Article Plant Sciences

Identification of Candidate Genes Controlling Soybean Cyst Nematode Resistance in Handou 10 Based on Genome and Transcriptome Analyzes

He Wei, Yun Lian, Jinying Li, Haichao Li, Qijian Song, Yongkang Wu, Chenfang Lei, Shiwei Wang, Hui Zhang, Jinshe Wang, Weiguo Lu

Summary: This study identified three novel resistant quantitative trait loci (QTLs) for soybean cyst nematode (SCN) resistance in the soybean variety Handou 10. Candidate genes for these QTLs were predicted through functional analysis and transcriptome analysis. The study also emphasized the importance of plant-pathogen interaction in SCN resistance.

FRONTIERS IN PLANT SCIENCE (2022)

Article Plant Sciences

Identification and characterization of a new geminivirus from soybean plants and determination of V2 as a pathogenicity factor and silencing suppressor

Qinglun Li, Yuyang Zhang, Weiguo Lu, Xiaoyu Han, Lingling Yang, Yajuan Shi, Honglian Li, Linlin Chen, Yiqing Liu, Xue Yang, Yan Shi

Summary: In this study, a novel geminivirus named SGVA was identified in soybean stay-green plants. The V2 protein of SGVA was determined as a pathogenicity factor and silencing suppressor.

BMC PLANT BIOLOGY (2022)

Article Materials Science, Multidisciplinary

In-situ investigation on the anisotropic behavior of the additively manufactured dual-phase Ti-6Al-4V alloy

Minhan Fang, Ying Li, Yuanfei Han, Jianwen Le, Guangfa Huang, Xianghai Chai, Liming Lei, Weijie Lu

Summary: In this study, in-situ SEM tensile investigations were conducted to study the fracture mechanism and anisotropic behavior of selective laser melted and then heat-treated Ti6Al4V. The results showed that surface steps were formed during the plastic stage, and microcracks were mainly initiated by the separation or fracture of adjacent lamellae. Surface defects induced strain concentration and premature failure, while defects inside the specimens had little effect on ductility.

MATERIALS CHARACTERIZATION (2022)

Article Engineering, Mechanical

Friction and wear behaviors of HXLPE, PEEK and CoCrMo against articular cartilage under cross-shear motion

Weiping Lu, Wen Cui, Xiaogang Zhang, Yali Zhang, Shu Yang, Jian Pu, Junyan Li, Zhongmin Jin

Summary: The friction and wear behaviors between cartilage replacement materials and articular cartilage are crucial for the function and performance of the replacements. This study investigated the difference between cross-shear motion and reciprocal linear motion on the frictional and wear behaviors of cartilage, as well as the effect of bearing surface roughness. The results showed that there was no significant difference between the two motion types. The water contact angle of the bearing surface affected the friction and wear behaviors for low roughness implants, while the surface roughness of the material affected the behaviors for high roughness implants. PEEK was found to be a suitable material for osteochondral implants.

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART J-JOURNAL OF ENGINEERING TRIBOLOGY (2023)

Article Biochemistry & Molecular Biology

An Ultrastable Porous Polyhedral Oligomeric Silsesquioxane/Tetraphenylthiophene Hybrid as a High-Performance Electrode for Supercapacitors

Mohsin Ejaz, Mohamed Gamal Mohamed, Santosh U. Sharma, Jyh-Tsung Lee, Chih-Feng Huang, Tao Chen, Shiao-Wei Kuo

Summary: In this study, three hybrid microporous polymers were synthesized through Heck couplings, and their chemical structures were confirmed through spectroscopic analysis. Among the three systems, POSS-Th exhibited the highest thermal stability, while POSS-TPTh showed superior electrochemical performance with a higher specific capacity attributed to its high surface area and the presence of electron-rich phenyl groups within its structure.

MOLECULES (2022)

Article Polymer Science

Water-Resistant Thermoelectric Ionogel Enables Underwater Heat Harvesting

Long Li, Huijing Li, Junjie Wei, Rui Li, Jiale Sun, Chuanzhuang Zhao, Tao Chen

Summary: The energy crisis is one of the most critical problems in modern society. Recently, emerging ionic thermoelectric materials have been widely used to harvest low-grade heat energy due to their excellent performance. However, the instability of ionic conductive materials in the underwater environment hinders underwater energy-harvesting. In this study, a water-resistant thermoelectric ionogel (TEIG) with excellent underwater stability was developed, providing a promising strategy for harvesting low-grade heat energy under water.

POLYMERS (2023)

Review Chemistry, Analytical

Recent Progress in Improving the Performance of Infrared Photodetectors via Optical Field Manipulations

Jian Chen, Jiuxu Wang, Xin Li, Jin Chen, Feilong Yu, Jiale He, Jian Wang, Zengyue Zhao, Guanhai Li, Xiaoshuang Chen, Wei Lu

Summary: Infrared photodetectors, with the ability to detect longer wavelengths, have wide applications in military and daily life. However, the limitations of material growth and device manufacturing hinder the further improvement of infrared detectors. Artificial microstructures, especially metasurfaces, offer potential solutions with their strong light field enhancement and multifunctional properties. This paper reviews conventional and emerging two-dimensional material-based infrared photodetectors, and discusses the progress of integrating metasurfaces to improve device performance.

SENSORS (2022)

Article Automation & Control Systems

Device Variation Effects on Neural Network Inference Accuracy in Analog In-Memory Computing Systems

Qiwen Wang, Yongmo Park, Wei D. Lu

Summary: This article investigates the performance of neural network models in analog in-memory computing systems based on nonvolatile memories, with a focus on the deviation issue during weight programming. The study considers realistic system limitations and evaluates approaches to mitigate device and circuit nonidealities through architecture-aware training.

ADVANCED INTELLIGENT SYSTEMS (2022)

暂无数据