4.8 Article

CelluMOFs: Green, Facile, and Flexible Metal-Organic Frameworks for Versatile Applications

Journal

ADVANCED FUNCTIONAL MATERIALS
Volume 31, Issue 43, Pages -

Publisher

WILEY-V C H VERLAG GMBH
DOI: 10.1002/adfm.202105395

Keywords

cellulose fiber nanocomposites; controlled release; functional textiles; green synthesis; in situ growth; metal-organic frameworks

Funding

  1. National Key Research and Development Program of China [2016YFA0200301]
  2. National Natural Science Foundation of China [21875211, 52073249, 51833008, 51603181]
  3. Zhejiang Provincial Key Research and Development Program [2020C01123]

Ask authors/readers for more resources

This study presents a new method for in situ growth of gamma-cyclodextrin metal-organic frameworks in cellulose fiber-based materials to enhance their surface properties and adsorption capacity, further expanding their applications in various fields.
Natural cellulose fiber-based materials have been widely used in daily life for a broad application owing to their intrinsic merits such as easy availability, eco-friendly, good processability, and outstanding physical-mechanical properties. Surface modification of natural fibers with nanostructures is an effective strategy to integrate the textile substrates with many favorable functionalities. Here, a green, facile, and universal method is introduced for the in situ growth of gamma-cyclodextrin (gamma-CD) metal-organic frameworks (MOFs) in cellulose fiber-based materials (CelluMOFs). Compared to the pristine fibers, the resulting CelluMOFs have high porosity with up to 50 times larger specific surface area and enhanced loading capacity to functional molecules (essential oils, antibacterial agents, and active drugs) with 23-36 times higher loading content. The CelluMOFs also exhibit high adsorption capability to volatile organic compounds and carbon dioxide. Moreover, the CelluMOFs textiles loaded with a model drug (doxorubicin) show a steady release profile and deep skin permeation capability. These CelluMOFs combine the advantages of both cellulose fibers and CD-MOFs, which greatly extend their applications in the fragrance industry, antimicrobial, pollutant removal, and biomedical textiles.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Computer Science, Artificial Intelligence

A robust newton iterative algorithm for acoustic location based on solving linear matrix equations in the presence of various noises

Guancheng Wang, Zhihao Hao, Bob Zhang, Leyuan Fang, Dianhui Mao

Summary: This paper proposed a robust Newton iterative (RNI) algorithm based on control theory to solve linear equations in noisy environments while maintaining convergence. Simulation results showed that the RNI algorithm exhibits the best robustness and accuracy in the presence of noise.

APPLIED INTELLIGENCE (2023)

Article Computer Science, Artificial Intelligence

Learning salient self-representation for image recognition via orthogonal transformation

Jianhang Zhou, Shaoning Zeng, Bob Zhang

Summary: This paper proposes an approximated self-representation method, which learns the self-representation between the data itself and its projections in different spaces, to achieve better pattern classification results.

EXPERT SYSTEMS WITH APPLICATIONS (2023)

Article Engineering, Electrical & Electronic

Deep Supervised Dual Cycle Adversarial Network for Cross-Modal Retrieval

Lei Liao, Meng Yang, Bob Zhang

Summary: Cross-modal retrieval tasks have attracted increasing interest due to their naturalness and challenges. However, the heterogeneity in feature space seriously affects the performance of cross-modal retrieval models. To address this issue, common space-based methods have become the mainstream approach. This paper proposes a deep supervised dual cycle adversarial network (DSDCAN) model that disentangles semantic content and modality style features, and enhances semantic discrimination in the common space. Experimental results on various datasets demonstrate the superiority of the proposed method over state-of-the-art approaches.

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY (2023)

Article Computer Science, Artificial Intelligence

Consensus Sparsity: Multi-Context Sparse Image Representation via L∞-Induced Matrix Variate

Jianhang Zhou, Bob Zhang, Shaoning Zeng

Summary: Sparsity is an attractive property widely utilized in image processing, and its success lies in extracting intrinsic information from redundant data. This paper introduces the concept of consensus sparsity and proposes a multi-context sparse image representation (MCSIR) framework to fully exploit sparsity. The consensus sparsity is achieved through $L_{\infty}$-induced matrix variate based on Bayesian inference. Extensive experiments demonstrate the promising performance of the proposed consensus sparsity.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2023)

Article Automation & Control Systems

A Survey on Incomplete Multiview Clustering

Jie Wen, Zheng Zhang, Lunke Fei, Bob Zhang, Yong Xu, Zhao Zhang, Jinxing Li

Summary: Conventional multiview clustering methods fail when not all views of samples are available in practical applications. Incomplete multiview clustering (IMC) is developed to address this issue. Recent years have seen significant advances in IMC research, but there are still open problems to be solved.

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2023)

Article Biotechnology & Applied Microbiology

Antimicrobial Substances and Mechanisms of Lactobacillus rhamnosus against Gardnerella vaginalis

Yu-Ping Huang, Jie-Yan Shi, Si-Chen Luo, Shao-Yan Xu, Jia-Dong Zhang, Istvan Molnar, Qiong-Qiong Yang, Bo-Bo Zhang

Summary: This study found that acetic acid and lactic acid in the cell-free supernatant of L. rhamnosus inhibit the growth of G. vaginalis by altering the morphology of the bacteria and affecting their ATP synthesis. The results provide valuable information for the use of L. rhamnosus in the treatment of bacterial vaginosis.

PROBIOTICS AND ANTIMICROBIAL PROTEINS (2023)

Article Chemistry, Multidisciplinary

Induced-Fit-Identification in a Rigid Metal-Organic Framework for ppm-Level CO2 Removal and Ultra-Pure CO Enrichment

Peng Hu, Jialang Hu, Min Zhu, Chao Xiong, Rajamani Krishna, Dan Zhao, Hongbing Ji

Summary: Removing CO2 from crude syngas using a thermoresponsive metal-organic framework (1 a-apz) made of Mg-2(dobdc) (1 a) and aminopyrazine (apz) can achieve ultra-high CO2 capacity and ultra-pure CO at practical ambient temperatures. The excellent separation performance is attributed to self-adaption of apz, multiple binding sites, and complementary electrostatic potential in 1 a-apz. Breakthrough tests showed that 1 a-apz can remove CO2 from CO2/CO mixtures and crude syngas with high purity.

ANGEWANDTE CHEMIE-INTERNATIONAL EDITION (2023)

Article Pharmacology & Pharmacy

Targeting of TAMs with freeze-dried monosialotetrahexosylganglioside and sialic acid-octadecylamine co-modified liposomes remodels the tumor microenvironment and enhances anti-tumor activity

Lu Wei, Dan Zhao, Wenliang Sun, Lin Lin, Dezhi Sui, Wen Li, Yangxu Gui, Jia Wang, Yihui Deng, Yanzhi Song

Summary: This study reported a novel sialic acid-octadecylamine (SA-ODA) and monosialotetrahexosylganglioside (GM1) co-modified epirubicin liposomes (5-5-SAGL-EPI) that showed an improved tumor-targeting ability. The liposomes actively targeted tumor-associated macrophages (TAMs) and had a longer circulation time. In vitro and in vivo evaluations demonstrated higher cellular uptake, increased distribution in tumor tissues, high tumor inhibition rate, and low toxicity for 5-5-SAGL-EPI compared to common liposomes (CL-EPI) and liposomes modified with single ligands (SA-ODA [5-SAL-EPI] or GM1 [5-GL-EPI]). Furthermore, freeze-dried 5-5-SAGL-EPI exhibited good storage stability and maintained its anti-tumor effect.

EUROPEAN JOURNAL OF PHARMACEUTICS AND BIOPHARMACEUTICS (2023)

Article Chemistry, Applied

Protective mechanisms of intra- and extracellular polysaccharides from Schizophyllum commune on H2O2-induced oxidative damage of human skin fibroblasts

Wenjing Cheng, Yundong Yang, Jiachan Zhang, Fei qian Di, Luyao Li, Changtao Wang, Meng Li, Dan Zhao, Xiuqin Shi, Tong Huo, Quan An

Summary: This study compared the antioxidant activities of IPS and EPS and investigated their mechanisms of action. The results showed that both IPS and EPS exhibited good antioxidant effects, increasing the levels of SOD and decreasing MDA. Molecular analysis revealed that IPS and EPS upregulated the expression of Nrf2 in the Keap1-Nrf2/ARE signaling pathway, while suppressing the expression of the negative feedback gene Keap1 and promoting the expression of downstream genes GCLC, Gstt-1, Nqo1, and Ho-1.

FOOD AND AGRICULTURAL IMMUNOLOGY (2023)

Article Food Science & Technology

Role of PI3K-AKT Pathway in Ultraviolet Ray and Hydrogen Peroxide-Induced Oxidative Damage and Its Repair by Grain Ferments

Wenjing Cheng, Xiuqin Shi, Jiachan Zhang, Luyao Li, Feiqian Di, Meng Li, Changtao Wang, Quan An, Dan Zhao

Summary: UV and external environmental stimuli can cause oxidative damage to skin cells. In this study, the molecular mechanisms of cell damage were investigated using RNA-seq and pathway analysis. The PI3K-AKT signaling pathway was found to play a role in oxidative damage and was validated by RT-qPCR. Additionally, the effects of Schizophyllum commune fermented actives on oxidative damage and the PI3K-AKT pathway were evaluated. These findings may contribute to the future screening of anti-oxidative actives.

FOODS (2023)

Article Ecology

Individual tree-based forest species diversity estimation by classification and clustering methods using UAV data

Xiuwen Li, Zhaoju Zheng, Cong Xu, Ping Zhao, Junhua Chen, Jinchen Wu, Xueming Zhao, Xuan Mu, Dan Zhao, Yuan Zeng

Summary: Monitoring forest species diversity is crucial for biodiversity conservation and ecological management. Unmanned aerial vehicle (UAV) remote sensing technology offers a flexible and cost-effective approach for biodiversity monitoring. This study compared two methods, spectral angle mapper (SAM) classification and self-adaptive Fuzzy C-Means (FCM) clustering, for estimating forest species diversity indices using UAV-borne hyperspectral and LiDAR data. The results showed that the classification method performed better for predicting species richness and Shannon-Wiener index, while the clustering algorithm was more accurate for estimating Simpson index. Our findings highlighted the advantages of UAV remote sensing in monitoring species diversity and discussed the applicability of classification and clustering methods in estimating tree-based diversity indices.

FRONTIERS IN ECOLOGY AND EVOLUTION (2023)

Article Chemistry, Multidisciplinary

Dual Synergistic Tumor-Specific Polymeric Nanoparticles for Efficient Chemo-Immunotherapy

Jiajia Xiang, Kexin Liu, Hongxia Xu, Zhihao Zhao, Ying Piao, Shiqun Shao, Jianbin Tang, Youqing Shen, Zhuxian Zhou

Summary: NCTD-Pt codelivery nanoparticles (NC-NP) are designed to release drugs in response to tumor acidity, overcoming cancer cell self-defense mechanisms and enhancing the efficacy of chemo-immunotherapy.

ADVANCED SCIENCE (2023)

Article Construction & Building Technology

Improving the mechanical properties of mussel shell aggregate concrete by aggregate modification and mixture design

Bingcheng Chen, Ligang Peng, He Zhong, Yuxi Zhao, Tao Meng, Bo Zhang

Summary: The utilization of mussel shell as a construction material has potential in treating mussel shell wastes in coastal cities. However, the mechanical properties of mussel shell aggregate concrete (MSAC) need improvement for high performance applications due to the inferior properties of mussel shell aggregate (MSA) and poor bonding behavior between MSA and mortar. This study focuses on the mixture proportions design and aggregate modification of MSAC to enhance its mechanical properties by optimizing the particle size of MSA, compact packing of raw materials, and modifying MSA through polymer-cement paste composite and microbial induced carbonate precipitation. Microstructure tests reveal that the improved mechanical properties of MSAC are attributed to the increased compactness of MSA-mortar interface and refined pore structure of mortar.

CASE STUDIES IN CONSTRUCTION MATERIALS (2023)

Article Computer Science, Artificial Intelligence

Two-view attention-guided convolutional neural network for mammographic image classification

Lilei Sun, Jie Wen, Junqian Wang, Yong Zhao, Bob Zhang, Jian Wu, Yong Xu

Summary: We propose a classification method based on a convolutional neural network, which achieves more accurate classification by extracting discriminative features from mammographic images and introducing an attention module. Experimental results demonstrate that the proposed method achieves the best classification performance on two mammographic databases and is more robust than existing methods.

CAAI TRANSACTIONS ON INTELLIGENCE TECHNOLOGY (2023)

Article Computer Science, Artificial Intelligence

Toward Efficient Palmprint Feature Extraction by Learning a Single-Layer Convolution Network

Lunke Fei, Shuping Zhao, Wei Jia, Bob Zhang, Jie Wen, Yong Xu

Summary: In this article, a collaborative palmprint-specific binary feature learning method and a compact network are proposed for efficient palmprint feature extraction. The method utilizes the inherent characteristics of palmprints and learns binary feature codes by projecting ordinal measure vectors into complementary feature spaces. Experimental results show that the proposed method achieves promising feature extraction efficiency for palmprint recognition.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2023)

No Data Available