Structural characterization and immunomodulatory activity of a pectic polysaccharide (CALB-4) from Fructus aurantii

Shu, Zunpeng; Yang, Yanni; Xing, Na; Wang, Yi; Wang, Qiuhong; Kuang, Hai‐Xue

doi:10.1016/j.ijbiomac.2018.01.165

Cited by 19 publications

(5 citation statements)

References 25 publications

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Section: Discussionmentioning

confidence: 99%

“…Fructus aurantii is derived from Citrus aurantium (bitter orange) that is used in traditional Chinese medicine (TCM) to treat gastric motility disorder [21]. The main effective bioactive constituents of Fructus aurantii are alkaloids, volatile oils, and flavonoids, which have anti-inflammatory and antioxidant effects in FD [21]. In this study, a rat model of FD was established by semi-starvation followed by tail damping, stimulation, and forced exercise with fatigue, as previously described [13].…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

The Effects of Low-Dose and High-Dose Decoctions of Fructus aurantii in a Rat Model of Functional Dyspepsia

Zhu

Tong

et al. 2020

Med Sci Monit

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

The Effects of Low-Dose and High-Dose Decoctions of Fructus aurantii in a Rat Model of Functional Dyspepsia

Zhu

Tong

et al. 2020

Med Sci Monit

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“…The weak band at about 2,930 cm −1 is closely related to the C–H tensile vibration ( Jiao et al, 2018 ). The absorption band in the range of 1,600–1,650 cm −1 is caused by C=O asymmetric stretching vibration, which proves that the polysaccharide contains uronic acid, which is an acidic polysaccharide ( Shu et al, 2018 ). There is a stretching vibration of S=O at 1,200–1,250 cm −1 , and S=O is the characteristic group of the sulfate group ( Sanjeewa et al, 2018 ).…”

Section: Resultsmentioning

confidence: 98%

Structural Characterization of Sulfated Polysaccharide Isolated From Red Algae (Gelidium crinale) and Antioxidant and Anti-Inflammatory Effects in Macrophage Cells

Pei

Yang

Xiao

et al. 2021

Front. Bioeng. Biotechnol.

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Gelidium crinale, the red algae belonging to Geliaceae Gelidium, is a traditional edible and industrial alga in China. A sulfated polysaccharide (GNP) is successfully separated from Gelidium crinale by acid extraction and two-step column chromatography. Chemical analysis showed that the molecular weight of GNP was 25.8 kDa and the monosaccharide composition had the highest galactose content and confirmed the presence and content (16.5%) of sulfate by Fourier transform infrared spectroscopy (FT-IR) spectrometry as well as barium chloride-gelatin methods. In addition, the effect of GNP on lipopolysaccharide (LPS)-induced oxidative stress and inflammation in macrophages was also evaluated. The research results showed that GNP had fairly strong scavenging activities on 2,2′-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid) (ABTS) radical, hydroxyl radical, and 1,1-diphenyl-2-picrylhydrazyl (DPPH) radical and had Fe2+-chelating ability in a dose-dependent manner. At the same time, it significantly inhibits the expression of inducible nitric oxide synthase (iNOS) and cyclooxygenase-2 (COX-2) and the production of pro-inflammatory cytokines in RAW 264.7 cells induced by LPS through blocking the mitogen-activated protein kinase (MAPK)/nuclear factor kappa beta (NF-κB) signaling pathway. These results indicate that GNP may be a latent component anti-inflammation in pharmaceutical and functional food industries.

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“…Forward propagation is to obtain the calculation result to be inferred, and back propagation is to update the parameters according to the gradient calculated by the loss. The algorithm calculates the output and loss of each layer through forward propagation of the network and calculates the gradient of the network through back propagation [ 18 ]. The parameters are then gradient updated according to the stochastic gradient descent algorithm.…”

Section: Experimental Materials and Methodsmentioning

confidence: 99%

Identification Method of Citrus Aurantium Diseases and Pests Based on Deep Convolutional Neural Network

Lin¹,

Zhang³

2022

Computational Intelligence and Neuroscience

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The traditional identification methods of Citrus aurantium diseases and pests are prone to convergence during the running process, resulting in low accuracy of identification. To this end, this study reviews the newest methods for the identification of Citrus aurantium diseases and pests based on a deep convolutional neural network (DCNN). The initial images of Citrus aurantium leaves are collected by hardware equipment and then preprocessed using the techniques of cropping, enhancement, and morphological transformation. By using the neural network to divide the disease spots of Citrus aurantium images, accurate recognition results are obtained through feature matching. The comparative experimental results show that, compared with the traditional recognition method, the recognition rate of the proposed method has increased by about 11.9%, indicating its better performance. The proposed method can overcome the interference of the external environment to a certain extent and can provide reference data for the prevention and control of Citrus aurantium diseases and pests.

show abstract

Structural characterization and immunomodulatory activity of a pectic polysaccharide (CALB-4) from Fructus aurantii

Cited by 19 publications

References 25 publications

The Effects of Low-Dose and High-Dose Decoctions of Fructus aurantii in a Rat Model of Functional Dyspepsia

The Effects of Low-Dose and High-Dose Decoctions of Fructus aurantii in a Rat Model of Functional Dyspepsia

Structural Characterization of Sulfated Polysaccharide Isolated From Red Algae (Gelidium crinale) and Antioxidant and Anti-Inflammatory Effects in Macrophage Cells

Identification Method of Citrus Aurantium Diseases and Pests Based on Deep Convolutional Neural Network

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