Chung-Ang University

About: Chung-Ang University is a education organization based out in Seoul, South Korea. It is known for research contribution in the topics: Population & Thin film. The organization has 13381 authors who have published 26978 publications receiving 416735 citations. The organization is also known as: CAU & Chung.

Advances in microbial biosynthesis of metal nanoparticles

Abstract: Metal nanoparticles are garnering considerable attention owing to their high potential for use in various applications in the material, electronics, and energy industries. Recent research efforts have focused on the biosynthesis of metal nanomaterials using microorganisms rather than traditional chemical synthesis methods. Microorganisms have evolved to possess molecular machineries for detoxifying heavy metals, mainly by employing metal-binding proteins and peptides. Biosynthesis of diverse metal nanoparticles has recently been demonstrated using such heavy metal detoxification systems in microorganisms, which provides several advantages over the traditional chemical synthesis methods. First, metal nanoparticles can be synthesized at mild temperatures, such as at room temperature, with less energy input. Second, no toxic chemicals or reagents are needed, and thus the process is environmentally friendly. Third, diverse metal nanoparticles, including those that have never been chemically synthesized, can be biosynthesized. Here, we review the strategies for the biosynthesis of metal nanoparticles using microorganisms, and provide future prospects.

BAY 11-7082 Is a Broad-Spectrum Inhibitor with Anti-Inflammatory Activity against Multiple Targets

Abstract: BAY 11-7082 (BAY) is an inhibitor of κB kinase (IKK) that has pharmacological activities that include anticancer, neuroprotective, and anti-inflammatory effects. In this study, BAY-pharmacological target pathways were further characterized to determine how this compound simultaneously suppresses various responses. Primary and cancerous (RAW264.7 cells) macrophages were activated by lipopolysaccharide, a ligand of toll-like receptor 4. As reported previously, BAY strongly suppressed the production of nitric oxide, prostaglandin E(2), and tumor necrosis factor-α and reduced the translocation of p65, major subunit of nuclear factor-κB, and its upstream signaling events such as phosphorylation of IκBα, IKK, and Akt. In addition, BAY also suppressed the translocation and activation of activator protein-1, interferon regulatory factor-3, and signal transducer and activator of transcription-1 by inhibiting the phosphorylation or activation of extracellular signal-related kinase, p38, TANK-binding protein, and Janus kinase-2. These data strongly suggest that BAY is an inhibitor with multiple targets and could serve as a lead compound in developing strong anti-inflammatory drugs with multiple targets in inflammatory responses.

Intelligent household LED lighting system considering energy efficiency and user satisfaction

Abstract: Saving energy has become one of the most important issues these days. The most waste of energy is caused by the inefficient use of the consumer electronics. Particularly, a light accounts for a great part of the total energy consumption. Various light control systems are introduced in current markets, because the installed lighting systems are outdated and energy-inefficient. However, due to architectural limitations, the existing light control systems cannot be successfully applied to home and office buildings. Therefore, this paper proposes an intelligent household LED lighting system considering energy efficiency and user satisfaction. The proposed system utilizes multi sensors and wireless communication technology in order to control an LED light according to the user's state and the surroundings. The proposed LED lighting system can autonomously adjust the minimum light intensity value to enhance both energy efficiency and user satisfaction. We designed and implemented the proposed system in the test bed and measured total power consumption to verify the performance. The proposed LED lighting system reduces total power consumption of the test bed up to 21.9%1.