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
คณะวิศวกรรมศาสตร์
The production process of the food rancidity indicator label consists of three main steps: 1) preparation of the indicator solution, 2) preparation of the cellulose solution, and 3) formation of the sheet. The indicator solution includes bromothymol blue and methyl red, which act as indicators. The cellulose solution consists of hydroxypropyl methylcellulose, carboxymethyl cellulose, sodium hydroxide, polyethylene glycol 400, and the indicator solution. For the sheet formation, the cellulose solution was mixed with natural latex to increase flexibility and impart hydrophobic properties. After drying, the invention appears as a thin, dark blue label. When exposed to volatile compounds from rancid food, the label changes color from dark blue to green, and then to yellow, corresponding to the increasing amount of volatile compounds from the rancid food.
วิทยาลัยนวัตกรรมการผลิตขั้นสูง
A child manikin for Cardiopulmonary Resuscitation (CPR) training includes the trachea mechanism, neck mechanism, lung mechanism, heart pump mechanism, artificial skin, and sensor system. All components work together to function similar to a real child. It can be used to practice heart pumping and resuscitation. The manikin has been designed and verified by resuscitation experts. It has a system to evaluate the accuracy of the training and display the results on the computer for real-time monitoring.
คณะเทคโนโลยีสารสนเทศ
Cancer is one of the major health issues in Thailand, particularly as the country enters an aging society. The risk of chronic diseases among the elderly often results in limitations in treatment, making it difficult for most patients to achieve a complete recovery. This necessitates continuous care and the provision of accurate information and guidance about cancer. However, current health record systems for patients lack effective interconnectivity, which hinders data analysis and the development of patient care models. Additionally, incorrect information about cancer spread across social media can lead to misunderstandings among elderly patients. To address these issues, researchers have developed a chatbot system that utilizes Natural Language Processing (NLP) technology to understand human language and accurately respond to questions about elderly cancer patient care. The chatbot provides reliable and up-to-date information based on medical knowledge sourced from a database reviewed by healthcare professionals. Furthermore, a web application has been developed to record and analyze patient assessments according to medical standards, enabling healthcare providers to plan and develop appropriate treatment approaches in a better way. This system also facilitates data sharing and connectivity across hospital systems, allowing information to be used to enhance the precision and modernity of treatment approaches. In addition, the chatbot acts as an assistant, providing information and guidance to patients, reducing the workload of healthcare staff in answering questions and encouraging patients to take a more active role in managing their own health.