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  • Open Access

    ARTICLE

    In Vitro Anti-Bacterial and Anti-Fungal Activities of Extracts from Different Parts of 7 Zingiberaceae Plants

    Lixian Wu1,#, Yongquan Li1,#, Qiaoguang Li2, Jingxuan Li1, Qinghua Lao1, Yucheng Zhong1, Hui Zhang1,*, Xiu Hu1,*

    Journal of Renewable Materials, Vol.11, No.2, pp. 975-989, 2023, DOI:10.32604/jrm.2022.023547

    Abstract This study aimed to explore the anti-bacterial and anti-fungal activities of extracts from different parts of plants in the Zingiberaceae family. The inhibitory rate, minimum inhibitory concentration (MIC), and minimum bactericidal concentration (MBC) of leaf and stem, and root and rhizome extracts from Alpinia katsumadai Hayata, Alpinia oxyphylla Miq × Alpinia henryi K. Schumann, Alpinia oblongifolia Hayata, Alpinia nigra (Gaertn.) Burtt, Amomum villosum Lour, Alpinia zerumbet (Pers.) Burtt. et Smith and Alpinia oxyphylla Miq were determined using the fungus cake method and double dilution method. The seven Zingiberaceae plants exhibited characteristic antibacterial activities against pathogenic bacteria and fungi. At a… More >

  • Open Access

    ARTICLE

    The Future of Bacterial Cellulose and Other Microbial Polysaccharides

    Eliane Trovatti*

    Journal of Renewable Materials, Vol.1, No.1, pp. 28-41, 2013, DOI:10.7569/JRM.2012.634104

    Abstract Biobased polymers have been gaining the attention of society and industry because of concerns about the depletion of fossil fuels and growing environmental problems. Cellulose fi bers are one of the most promising biopolymers to be explored as a component of composite materials with emergent properties for new applications. Bacterial Cellulose (BC), a special kind of cellulose produced by microorganisms, is endowed with unique properties. In this context, this perspective offers an overview about the properties of BC that would enable it to become a commodity. This includes an appraisal of the current BC market, as compared with other available… More >

  • Open Access

    ARTICLE

    A New Method for Developing Industrially Viable Nanocrystalline Cellulose-based Nanocomposites via Melt Compounding

    Marta Martínez-Sanz, Amparo López-Rubio, Maria José Fabra, José M. Lagaron*

    Journal of Renewable Materials, Vol.2, No.2, pp. 107-117, 2014, DOI:10.7569/JRM.2014.634106

    Abstract Due to their high crystallinity and aspect ratio, bacterial cellulose nanowhiskers (BCNW) represent an appealing choice for the development of fully biobased nanocomposite materials with high barrier performance. However, their strong tendency to self-associate, together with their highly hydrophilic character, has restricted the production of nanocomposites containing cellulose nanowhiskers by industrial processing techniques such as melt compounding. Th is article presents an overview of the latest published results carried out within our group and also in other relevant literature, which have led to the development of an effi cient strategy for the incorporation of highly dispersed BCNW by melt compounding… More >

  • Open Access

    ARTICLE

    Hybrid Bacterial Foraging Optimization with Sparse Autoencoder for Energy Systems

    Helen Josephine V L1, Ramchand Vedaiyan2, V. M. Arul Xavier3, Joy Winston J4, A. Jegatheesan5, D. Lakshmi6, Joshua Samuel Raj7,*

    Computer Systems Science and Engineering, Vol.45, No.1, pp. 701-714, 2023, DOI:10.32604/csse.2023.030611

    Abstract The Internet of Things (IoT) technologies has gained significant interest in the design of smart grids (SGs). The increasing amount of distributed generations, maturity of existing grid infrastructures, and demand network transformation have received maximum attention. An essential energy storing model mostly the electrical energy stored methods are developing as the diagnoses for its procedure was becoming further compelling. The dynamic electrical energy stored model using Electric Vehicles (EVs) is comparatively standard because of its excellent electrical property and flexibility however the chance of damage to its battery was there in event of overcharging or deep discharging and its mass… More >

  • Open Access

    ARTICLE

    Effects of arbuscular mycorrhizal fungi and plant growth-promoting rhizobacteria on growth and reactive oxygen metabolism of tomato fruits under low saline conditions

    WEI ZHOU, MENGMENG ZHANG, KEZHANG TAO, XIANCAN ZHU*

    BIOCELL, Vol.46, No.12, pp. 2575-2582, 2022, DOI:10.32604/biocell.2022.021910

    Abstract Land salinization is a major form of land degradation, which is not conducive to the growth and quality of fruits and vegetables. Plant salt tolerance can be enhanced by arbuscular mycorrhizal fungi (AMF) or plant growth-promoting rhizobacteria (PGPR). This study examined the effects of inoculation with PGPR singly or in combination with AMF, on the growth and quality of tomato fruits under low saline conditions. Tomatoes were cultivated in a greenhouse with sterilized soil, inoculated with PGPR, AMF, or co-inoculated with PGPR and AMF, and NaCl solution (1%) was added to the soil. The results indicated that AMF + PGPR… More >

  • Open Access

    ARTICLE

    Antibacterial Chitosan-Gelatin Microcapsules Modified with Green-Synthesized Silver Nanoparticles for Food Packaging

    Long Li, Yanan Lu, Yu Chen, Jiayi Bian, Li Wang, Li Li*

    Journal of Renewable Materials, Vol.11, No.1, pp. 291-307, 2023, DOI:10.32604/jrm.2022.021456

    Abstract Silver nanoparticles (Ag NPs) are an effective antibacterial agent, but their application in food packaging is limited due to their easy agglomeration and oxidation. In this study, antibacterial microcapsules were fabricated using Ginkgo biloba essential oil (GBEO) as core material and chitosan and type B gelatin biopolymer as capsule materials. These antibacterial microcapsules were then modified with green-synthesized Ag NPs, blended into the biopolymer polylactic acid (PLA), and finally formed as films. Physicochemical properties and antibacterial activity against Escherichia coli (E. coli) and Staphylococcus aureus (S. aureus) were evaluated. Results showed that the prepared antibacterial PLA films exhibited excellent antibacterial… More > Graphic Abstract

    Antibacterial Chitosan-Gelatin Microcapsules Modified with Green-Synthesized Silver Nanoparticles for Food Packaging

  • Open Access

    ARTICLE

    Optimal Intelligence Planning of Wind Power Plants and Power System Storage Devices in Power Station Unit Commitment Based

    Yuchen Hao*, Dawei Su, Zhen Lei

    Energy Engineering, Vol.119, No.5, pp. 2081-2104, 2022, DOI:10.32604/ee.2022.021342

    Abstract Renewable energy sources (RES) such as wind turbines (WT) and solar cells have attracted the attention of power system operators and users alike, thanks to their lack of environmental pollution, independence of fossil fuels, and meager marginal costs. With the introduction of RES, challenges have faced the unit commitment (UC) problem as a traditional power system optimization problem aiming to minimize total costs by optimally determining units’ inputs and outputs, and specifying the optimal generation of each unit. The output power of RES such as WT and solar cells depends on natural factors such as wind speed and solar irradiation… More >

  • Open Access

    ARTICLE

    Mechanical Properties, Biocompatibility and Anti-Bacterial Adhesion Property Evaluation of Silicone-Containing Resin Composite with Different Formulae

    Muzi Liao1,2,#, Hui Tong1,2,#, Xiangya Huang1,2, Fang Liu3, Jingwei He3,*, Sui Mai1,2,*

    Journal of Renewable Materials, Vol.10, No.12, pp. 3201-3215, 2022, DOI:10.32604/jrm.2022.022090

    Abstract Novel branched silicone methacrylate was developed. The mechanical and biological properties of the resin system were investigated to select the formula proportion with the best overall performance. The novel silicone-containing monomers were combined with an incremental sequence of glass filler concentrations in commonly used Bis-GMA/TEGDMA (50/50, wt./wt.) dental resin systems. Physicochemical properties, surface properties, antibacterial adhesion effect, anti-biofilm effect, protein adsorption, and cytotoxicity were evaluated. The results showed that BSMs did not affect the double bond conversion of dental resin, but could reduce volumetric shrinkage (p < 0.05). The BSM containing resins can resist protein and bacteria adhesion (S. Mutans)… More >

  • Open Access

    VIEWPOINT

    How does FtsZ’s treadmilling help bacterial cells divide?

    XINXING YANG*, RUIJIAO LIU

    BIOCELL, Vol.46, No.11, pp. 2343-2351, 2022, DOI:10.32604/biocell.2022.022100

    Abstract Most bacteria assemble a ring-like macromolecular machinery scaffolded by the essential cytoskeletal protein FtsZ for cell division. Studies have broadly explored how FtsZ could polymerize at the correct place and time. Recently, the FtsZ-ring was found to exhibit dynamic treadmilling along the circumference of the division site, driven by GTP hydrolysis. This apparently directional motion of FtsZ seems to drive the movement of septal cell wall synthesis enzymes and to play an important role in modulating cell envelope constriction and septum morphogenesis. However, the relationship between FtsZ’s treadmilling dynamics and cell wall synthesis varies in different bacteria. More importantly, the… More >

  • Open Access

    ARTICLE

    Ensemble of Handcrafted and Deep Learning Model for Histopathological Image Classification

    Vasumathi Devi Majety1, N. Sharmili2, Chinmaya Ranjan Pattanaik3, E. Laxmi Lydia4, Subhi R. M. Zeebaree5, Sarmad Nozad Mahmood6, Ali S. Abosinnee7, Ahmed Alkhayyat8,*

    CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 4393-4406, 2022, DOI:10.32604/cmc.2022.031109

    Abstract Histopathology is the investigation of tissues to identify the symptom of abnormality. The histopathological procedure comprises gathering samples of cells/tissues, setting them on the microscopic slides, and staining them. The investigation of the histopathological image is a problematic and laborious process that necessitates the expert’s knowledge. At the same time, deep learning (DL) techniques are able to derive features, extract data, and learn advanced abstract data representation. With this view, this paper presents an ensemble of handcrafted with deep learning enabled histopathological image classification (EHCDL-HIC) model. The proposed EHCDL-HIC technique initially performs Weiner filtering based noise removal technique. Once the… More >

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