Evaluation of the effect of extraction solvent and organ selection on the chemical profile of Astragalus spinosus using HPTLC- multivariate image analysis

Shawky, Eman; Selim, Dina A.

doi:10.1016/j.jchromb.2017.07.025

Cited by 13 publications

(4 citation statements)

References 13 publications

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“…Saponin was extracted from the shoot system of Astragalus spinosus collected from Al-Ameed Nature Reserve, Alexandria, Egypt. The extraction was carried out according to the method described by Shawky & Selim (2017) and Abd Elkader et al (2021) . The experimental protocol and techniques of the current study were reviewed and approved by Institutional Animal Care and Use Committee of Alexandria University (ALEXU-IACUC), a member of the International Council for Laboratory Animal Science (ICLAS) (Approval number: AU04200125201).…”

Section: Methodsmentioning

confidence: 99%

Therapeutic effects of astragaloside IV and Astragalus spinosus saponins against bisphenol A-induced neurotoxicity and DNA damage in rats

Essawy

Elkader

Khamiss

et al. 2021

PeerJ

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Background Bisphenol A (BPA) is an endocrine disruptor to which humans are often subjected during daily life. This study aimed to investigate the ameliorative effect of astragaloside IV (ASIV) or saponins extracted from Astragalus spinosus (A. spinosus) against DNA damage and neurotoxic effects induced by BPA in prefrontal cortex (PFC), hippocampal and striatal brain regions of developing male rats. Materials and Methods Juvenile PND20 (pre-weaning; age of 20 days) male Sprague Dawley rats were randomly and equally divided into four groups: control, BPA, BPA+ASIV and BPA+A. spinosus saponins groups. Bisphenol A (125 mg/kg/day) was administrated orally to male rats from day 20 (BPA group) and along with ASIV (80 mg/kg/day) (BPA+ASIV group) or A. spinosus saponin (100 mg/kg/day) (BPA+ A. spinosus saponins group) from day 50 to adult age day 117. Results Increased level of nitric oxide (NO) and decreased level of glutamate (Glu), glutamine (Gln), glutaminase (GA) and glutamine synthetase (GS) were observed in the brain regions of BPA treated rats compared with the control. On the other hand, co-administration of ASIV or A. spinosus saponin with BPA considerably improved levels of these neurochemicals. The current study also revealed restoration of the level of brain derived neurotrophic factor (BDNF) and N-methyl-D-aspartate receptors (NR2A and NR2B) gene expression in BPA+ ASIV and BPA+A. spinosus saponins groups. The co-treatment of BPA group with ASIV or A. spinosus saponin significantly reduced the values of comet parameters as well as the intensity of estrogen receptors (ERs) immunoreactive cells and improved the histological alterations induced by BPA in different brain regions. Conclusion It could be concluded that ASIV or A. spinosus saponins has a promising role in modulating the neurotoxicity and DNA damage elicited by BPA.

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Section: Methodsmentioning

confidence: 99%

Therapeutic effects of astragaloside IV and Astragalus spinosus saponins against bisphenol A-induced neurotoxicity and DNA damage in rats

Essawy

Elkader

Khamiss

et al. 2021

PeerJ

View full text Add to dashboard Cite

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“…After metabolite extraction, techniques such as liquid chromatography (LC), gas chromatography (GC) or capillary electrophoresis (CE) are applied to separate each metabolite present in the sample matrix [67]. Chromatography-based techniques such as LC and GC are the most used for plant metabolomics and can achieve high separation efficiency of metabolites with different degrees of polarities and volatility.…”

Section: Separation and Detectionmentioning

confidence: 99%

“…On the other hand, CE has been recommended to separate metabolites according to their mass to charge ratio (m/z). Among LC techniques, high performance thin layer chromatography (HPTLC) has been widely used due to its simplicity and low cost [67]. Similar techniques are high performance liquid chromatography (HPLC) and ultra-performance liquid chromatography (UHPLC), both used for the analysis of semipolar, polar and hydrophilic analytes [67].…”

Section: Separation and Detectionmentioning

confidence: 99%

Metabolomics, a Powerful Tool for Understanding Plant Abiotic Stress

et al. 2021

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Metabolomics is a technology that generates large amounts of data and contributes to obtaining wide and integral explanations of the biochemical state of a living organism. Plants are continuously affected by abiotic stresses such as water scarcity, high temperatures and high salinity, and metabolomics has the potential for elucidating the response-to-stress mechanisms and develop resistance strategies in affected cultivars. This review describes the characteristics of each of the stages of metabolomic studies in plants and the role of metabolomics in the characterization of the response of various plant species to abiotic stresses.

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“…Based on the multi-layer structure of convolution network, the underlying features are gradually promoted to more abstract high-level features, so that the network has good feature learning ability, and the expression ability of convolution features is improved by using migration learning, and the image convergence algorithm is used to converge the defaced fingerprint image. Firstly, the Gaussian template operator of the defaced fingerprint image is generated, and the Gaussian template operation is performed (Shawky and Selim, 2017). Finally, convergence processing is implemented for the image of the defaced fingerprint, and the converged image of the defaced fingerprint is output and displayed.…”

Section: Convergence Of Defaced Fingerprint Imagementioning

confidence: 99%

Research on fingerprint image recognition based on convolution neural network

Tian

Zheng

2021

IJBM

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In order to overcome the problem of poor image matching performance of the image recognition method, a method of fingerprint image recognition based on convolution neural network is proposed. In this method, the defaced fingerprint image is pre-processed by smoothing, convergence, equalisation, background foreground segmentation and distortion correction, and the feature points of the defaced fingerprint image are extracted by combining the neighbourhood judgment method, and the information pseudo feature points are removed by fusing the feature points, the centre points are extracted from the feature points of the defaced fingerprint image, and the centre block image is identified by convolution neural network, so as to realise the defaced fingerprint image distinguish. The experimental results show that the performance of restoration and reconstruction is improved. The rejection rate (FRR) is 3.75%, the false recognition rate (FAR) is 1.25%, and the correct recognition rate (CR) is 99.25%.

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Evaluation of the effect of extraction solvent and organ selection on the chemical profile of Astragalus spinosus using HPTLC- multivariate image analysis

Cited by 13 publications

References 13 publications

Therapeutic effects of astragaloside IV and Astragalus spinosus saponins against bisphenol A-induced neurotoxicity and DNA damage in rats

Therapeutic effects of astragaloside IV and Astragalus spinosus saponins against bisphenol A-induced neurotoxicity and DNA damage in rats

Metabolomics, a Powerful Tool for Understanding Plant Abiotic Stress

Research on fingerprint image recognition based on convolution neural network

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