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RISS 인기검색어
- 검색키워드
- 저자 : Muhammad Tahir Rasheed (검색결과 3 건)
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A Review of Synthesis, Characterization and Applications of Copper Nanoparticles Using Green Method
Muhammad Rafique,Ahson J. Shaikh,Reena Rasheed,Muhammad Bilal Tahir,Hafiz FaiqBakhat,MUHAMMAD SHAHID RAFIQUE,Faiz Rabbani 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2017 NANO Vol.12 No.4
To address accosts of this modern age, the synthesis of metal nanoparticles is more important than ever. Copper has been recognized as a nontoxic, safe inorganic material, cheaper antibacterial/antifungal agent, and has high potential in a wide range of biological, catalytic and sensors applications more particularly in the form of nanoparticles. This resulted in the development of numerous methods for the synthesis of copper nanoparticles. As conventional methods like chemical and physical methods have several limitations so there is need to an alternate method. Due to nontoxic and eco-friendly nature, it has recently been shifted toward green synthesis of copper nanoparticles over conventional methods. Additionally, characterization of the synthesized nanoparticles is essential for their use in various applications. This review gives an overview of environment friendly synthesis method of copper nanoparticles and their applications on the basis of their potential selectivity and preferences in a number of fields like material sciences and biomedicine.
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Pixel-Wise Polynomial Estimation Model for Low-Light Image Enhancement
Muhammad Tahir Rasheed,Daming Shi 한국인터넷정보학회 2023 KSII Transactions on Internet and Information Syst Vol.17 No.9
Most existing low-light enhancement algorithms either use a large number of training parameters or lack generalization to real-world scenarios. This paper presents a novel lightweight and robust pixel-wise polynomial approximation-based deep network for low-light image enhancement. For mapping the low-light image to the enhanced image, pixel-wise higher-order polynomials are employed. A deep convolution network is used to estimate the coefficients of these higher-order polynomials. The proposed network uses multiple branches to estimate pixel values based on different receptive fields. With a smaller receptive field, the first branch enhanced local features, the second and third branches focused on medium-level features, and the last branch enhanced global features. The low-light image is downsampled by the factor of 2b-1 (b is the branch number) and fed as input to each branch. After combining the outputs of each branch, the final enhanced image is obtained. A comprehensive evaluation of our proposed network on six publicly available no-reference test datasets shows that it outperforms state-of-the-art methods on both quantitative and qualitative measures.
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Tahir Rasheed,Faran Nabeel,Muhammad Bilal 한국공업화학회 2019 Journal of Industrial and Engineering Chemistry Vol.78 No.-
Inspiring from the multiple functions and delicate architectures of natural peroxidases, we constructedan artificial peroxidase that can mimic as horseradish peroxidase (HRP). This mimicking construct wasengineered by the self-assembly of alternating copolymers followed by encapsulation of hemin resultedin a functional vesicle exhibiting activity like peroxidase. The thiazole moiety present in copolymers poly(ethylene glycol)diglycidyl ether-alt-Bismuth-thiol P(PEGDGE-a-BTT) and 1,7-butadiene-diepoxide-alt-Bismuth-thiol P(BDD-a-BTT) can easily coordinate with hemin molecule. In this complex, hemin ispresent as a pentacoordinate ligand having an open site for substrate binding similar to themicroenvironment in natural peroxidase. The as-prepared functional vesicles exhibited better stabilityand excellent catalytic activity in oxidizing orange II (azo dye) and phenolic compounds such as catecholand 3, 30 , 5, 50-tetramethylbenzidine (TMB) using hydrogen peroxide (H2O2) as compared to HRP over awide pH, temperature range, and substrate concentrations. Another striking feature of these functionalvesicles (alternating polymer vesicles loaded with hemin) is their use as recognition systems forchromogenic substances, indicating that these vesicles can be used as new biocatalysts for specificfunctions.
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