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  • Open Access

    ARTICLE

    Study on Preparation of Lignin-Containing Nanocellulose from Bamboo Parenchyma

    Wenli Gu1, Shiyi Zeng1, Assima Dauletbek2, Bin Xu1,3,*, Xinzhou Wang1, Man Yuan1, Yanni Gu1

    Journal of Renewable Materials, Vol.10, No.2, pp. 385-399, 2022, DOI:10.32604/jrm.2022.016457

    Abstract Bamboo vascular bundle fiber and parenchyma (BP) are separated by high-temperature treatment with saturated steam. Bamboo vascular bundle fiber is widely used in the market, but how to develop and utilize parenchyma tissue is a difficult problem. The sulfated cellulose nanofibers (ANFs) were obtained by sulfating BP with a deep eutectic solvent (DES), which provided a theoretical basis for the value-added utilization of BP. Using DES as the reaction medium and reagent, the BP was grafted with a sulfonic acid group to form a gel substance in water, ANFs and nanocellulose gel were obtained by ultrasonic cell crusher. The highest… More > Graphic Abstract

    Study on Preparation of Lignin-Containing Nanocellulose from Bamboo Parenchyma

  • Open Access

    ARTICLE

    The Arrangement and Size of Cellulose Microfibril Aggregates in the Cell Walls of Sclerenchyma Fibers and Parenchyma Tissue in Bamboo

    Wenting Ren1,3, Fei Guo2, Minghui Liu1,3, Haocheng Xu1,3, Hankun Wang1,3, Yan Yu1,2,*

    Journal of Renewable Materials, Vol.9, No.12, pp. 2291-2301, 2021, DOI:10.32604/jrm.2021.015973

    Abstract Understanding the assembly and spatial arrangement of bamboo cell wall components is crucial for its optimal utilization. Bamboo cell walls consist of aggregates of cellulose microfibrils and matrix. In the present study, the size and arrangement of cellulose microfibril aggregates in the cell walls of sclerenchyma fibers and parenchyma cells in moso bamboo were investigated with NMR and FE-SEM. The NMR measurement showed that the characteristic sizes of the microfibril aggregates of fibers and parenchyma cells were approximately 25.8 nm and 18.8 nm, respectively. Furthermore, high-resolution SEM showed the size of microfibril aggregates varied little across the cell wall of… More >

  • Open Access

    ARTICLE

    Is the abaxial palisade parenchyma in phyllaries of the sunflower (Helianthus annuus L.) capitulum a missing trait in modern genotypes?

    Hernández LF1,2, MV Rosetti1

    Phyton-International Journal of Experimental Botany, Vol.85, pp. 291-296, 2016, DOI:10.32604/phyton.2016.85.291

    Abstract The involucral bracts (IB or phyllaries) of the sunflower (Helianthus annuus L.) capitulum constitute an example of photosynthesizing organs that contribute to the photosynthesis budget during the generation of crop yield. The anatomy of IB was analyzed in two domesticated primitive sunflower genotypes, Havasupai and Hopi, in the sunflower line HA89B, in the wild Helianthus annuus ssp. annuus, in the sunflower male-fertile line R013 and in the commercial hybrid DKOP3845. Stomata and trichomes were counted on the adaxial and abaxial epidermis. In all cases, the IB showed a one-layered adaxial and abaxial epidermis, secretory ducts and parenchymatic cells with abundant… More >

  • Open Access

    ARTICLE

    Automatic Delineation of Lung Parenchyma Based on Multilevel Thresholding and Gaussian Mixture Modelling

    S. Gopalakrishnan1, *, A. Kandaswamy2

    CMES-Computer Modeling in Engineering & Sciences, Vol.114, No.2, pp. 141-152, 2018, DOI:10.3970/cmes.2018.114.141

    Abstract Delineation of the lung parenchyma in the thoracic Computed Tomography (CT) is an important processing step for most of the pulmonary image analysis such as lung volume extraction, lung nodule detection and pulmonary vessel segmentation. An automatic method for accurate delineation of lung parenchyma in thoracic Computed Tomography images is presented in this paper. The proposed method involves a segmentation phase followed by a lung boundary correction technique. The tissues in the thoracic Computed Tomography can be represented by a number of Gaussians. We propose a histogram utilized Adaptive Multilevel Thresholding (AMT) for estimating the total number of Gaussians and… More >

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