This research focuses on the development of a 3D-printed spectrophotometer. The device was designed using AutoCAD, ensuring durability, low cost, and portability. It is intended for measuring the amount of formaldehyde in fresh seafood.
เทคนิคในการตรวจวัดความเข้มข้นฟอร์มาลดีไฮด์ในอาหารทะเลสด เช่น UV-Vis Spectrophotometry เป็นเทคนิคที่ใช้วัดค่าการดูดกลืนแสงของสารและใช้ในการวิเคราะห์ความเข้มข้นของสารในสารละลาย ข้อจำกัดของเทคนิคนี้คือราคาแพง และไม่สะดวกในการใช้งานภาคสนาม จึงมีการพัตนาและสร้างสเปกโตรโฟโตมิเตอร์แบบพิมพ์ 3 มิติ เพื่อตรวจวัดความเข้มข้นฟอร์มาลดีไฮด์ในอาหารทะเลสด ซึ่งมีความสำคัญในการลดต้นทุน พกพาสะดวก และใช้งานง่ายในภาคสนาม
คณะวิทยาศาสตร์
Cancer remains a major global health challenge as the second-leading cause of human death worldwide. The traditional treatments for cancer beyond surgical resection include radiation and chemotherapy; however, these therapies can cause serious adverse side effects due to their high killing potency but low tumor selectivity. The FDA approved monoclonal antibodies (mAbs) that target TIGIT/PVR (T-cell immunoglobulin and ITIM domain/poliovirus receptor) which is an emerging immune checkpoint molecules has been developed; however, the clinical translation of immune checkpoint inhibitors based on antibodies is hampered due to immunogenicity, immunological-related side effects, and high costs, even though these mAbs show promising therapeutic efficacy in clinical trials. To overcome these bottlenecks, small-molecule inhibitors may offer advantages such as better oral bioavailability and tumor penetration compared to mAbs due to their smaller size. Here, we performed structure-based virtual screening of FDA-approved drug repertoires. The 100 screened candidates were further narrowed down to 10 compounds using molecular docking, with binding affinities ranging from -9.152 to -7.643 kcal/mol. These compounds were subsequently evaluated for their pharmacokinetic properties using ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) analysis, which demonstrated favorable drug-like characteristics. The lead compounds will be further analyzed for conformational changes and binding stability against TIGIT through molecular dynamics (MD) simulations to ensure that no significant conformational changes occur in the protein structure. Collectively, this study represents the potential of computational methods and drug repurposing as effective strategies for drug discovery, facilitating the accelerated development of novel cancer treatments.
คณะวิศวกรรมศาสตร์
This research project focuses on the design and development of a Manual Control Robot using Load Cell technology to enhance precision and reduce the time required for robot control. The use of automation robots in industries still presents challenges due to the complexity of programming and control. Therefore, developing a manual control system that responds to force input in all directions can significantly improve the efficiency of robots, making them more suitable for tasks requiring precise and intricate control. The study integrates Load Cell sensors, an HX711 amplifier circuit, and an Arduino UNO R3 to develop a control module that translates user-applied forces into commands for an RV-7FRL-D industrial robotic arm. Additionally, MATLAB is utilized for processing Load Cell data to analyze and optimize the robot’s movement accuracy. The results demonstrate that the developed system effectively reduces robot setup time while simplifying and improving control flexibility. This project represents a crucial step in enhancing the capabilities of industrial robots, allowing for seamless human-robot interaction through a manual control system that directly responds to user-applied forces.
คณะวิศวกรรมศาสตร์
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