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- 저자 : Sahil Bansal (검색결과 2 건)
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Sahil Talwar,Pawan G. Nayak,Jayesh Mudgal,Piya Paul,Punit Bansal,Krishnadas Nandakumar 한국식품영양과학회 2013 Journal of medicinal food Vol.16 No.12
The Terminalia genus includes plants that are used in a variety of food, nutritional products, and traditional medicines. Aqueous bark extract of Terminalia paniculata (TPW) was screened for its antioxidant and analgesic potential. The major polyphenols were identified by high-performance liquid chromatography. In vitro antioxidant potential of TPW was investigated by 1,1-diphenyl-2-picryl hydrazyl (DPPH), 2,20-azinobis-(3-ethylbenzothiazoline-6-sulfonic acid) (ABTS2 -) radical assay, nitric oxide (NO) scavenging, superoxide scavenging (O2 - ), Fe2 + chelating (O-phenanthroline), and ferric reducing/ antioxidant power (FRAP) assay. We evaluated the effects of TPW on cell viability, lipopolysaccharide (LPS)-stimulated reactive oxygen species (ROS), nitrite, and cytokines (interleukin [IL] 6 and tumor necrosis factor alpha [TNF-a]) in RAW264.7 murine macrophages. Evaluation of analgesic activity of TPW was performed using acetic acid-induced writhing and hot plate test in mice. Phytochemical analysis showed the presence of four polyphenols, namely, gallic acid, ellagic acid, rutin, and quercetin. TPW showed maximum superoxide, ABTS2 - , NO, DPPH inhibition, and Fe2 + -chelating property at 400 lg/mL, respectively. FRAP value was 4.5– 0.25 lg Fe(II)/g. TPW, per se, did not affect RAW264.7 cell viability. In LPS-induced RAW 264.7 cells, TPW attenuated the elevation in ROS, nitrite, IL-6, and TNF-a levels. TPW (100–400mg/kg, orally) significantly reduced the number of writhes in a dose-dependent manner compared with the control. Similarly, TPW (400mg/kg, orally) evoked a significant increase in the maximum percentage effect in the hot plate test. The study suggests the efficacy of aqueous bark extract of T. paniculata as a potential antioxidant and analgesic agent.
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Ayan Das,Raj Purohit Kiran,Sahil Bansal 국제구조공학회 2023 Structural Engineering and Mechanics, An Int'l Jou Vol.87 No.1
The paper presents a Bayesian Finite element (FE) model updating methodology by utilizing modal data. The dynamic condensation technique is adopted in this work to reduce the full system model to a smaller model version such that the degrees of freedom (DOFs) in the reduced model correspond to the observed DOFs, which facilitates the model updating procedure without any mode-matching. The present work considers both the MPV and the covariance matrix of the modal parameters as the modal data. Besides, the modal data identified from multiple setups is considered for the model updating procedure, keeping in view of the realistic scenario of inability of limited number of sensors to measure the response of all the interested DOFs of a large structure. A relationship is established between the modal data and structural parameters based on the eigensystem equation through the introduction of additional uncertain parameters in the form of modal frequencies and partial mode shapes. A novel sampling strategy known as the Metropolis-within-Gibbs (MWG) sampler is proposed to sample from the posterior Probability Density Function (PDF). The effectiveness of the proposed approach is demonstrated by considering both simulated and experimental examples.
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