This research investigates active packaging films made from polyvinyl alcohol (PVA) and nanocellulose fibers (NFC), incorporating silver nanoparticles (AgNPs) synthesized from Terminalia chebula extract, which possesses antibacterial and antifungal properties. The developed films were tested for their mechanical properties, microbial inhibition, and biodegradability. The results showed that the addition of AgNPs from Terminalia chebula enhanced product protection and effectively extended the shelf life of strawberries while being environmentally friendly.
บรรจุภัณฑ์แอคทีฟถูกพัฒนาเพื่อปกป้องผลิตภัณฑ์และยืดอายุการเก็บรักษา โดยสามารถแลกเปลี่ยนแก๊สได้อย่างมีประสิทธิภาพ ฟิล์มที่ผลิตจากพอลิไวนิลแอลกอฮอล์ (PVA) มีความยืดหยุ่น แข็งแรง และสามารถละลายน้ำได้ อีกทั้งยังสามารถเติมอนุภาคซิลเวอร์นาโน (AgNPs) เพื่อเพิ่มคุณสมบัติในการยับยั้งจุลินทรีย์ สมอไทย (Terminalia chebula) ซึ่งอุดมไปด้วยสารต้านเชื้อแบคทีเรียและเชื้อรา ถูกนำมาใช้ในการสังเคราะห์ AgNPs เพื่อนำไปประยุกต์ใช้กับฟิล์มบรรจุภัณฑ์แอคทีฟ งานวิจัยนี้จึงศึกษาคุณสมบัติของฟิล์มที่พัฒนาขึ้นสำหรับการเคลือบสตรอเบอร์รีเพื่อยืดอายุการเก็บรักษาอย่างมีประสิทธิภาพ
คณะสถาปัตยกรรม ศิลปะและการออกแบบ
This conceptual model, titled "DeHome", incorporates the principles of Deconstructivism in architectural design. It deconstructs the fundamental elements of a house—roof, columns, doors, windows, and bricks—separating them and reassembling them in a way that conveys fragmentation, contradiction, and movement. This design challenges the traditional concept of structural stability by enlarging key elements such as doors, windows, and columns, emphasizing distortion and the dynamic force of transformation. Beyond merely dismantling the physical structure of a house, this project reinterprets the very concept of "home" within the context of contemporary architecture.
คณะวิศวกรรมศาสตร์
This research suggested natural hemp fiber-reinforced ropes (FRR) polymer usage to reinforce recycled aggregate square concrete columns that contain fired-clay solid brick aggregates in order to reduce the high costs associated with synthetic fiber-reinforced polymers (FRPs). A total of 24 square columns of concrete were fabricated to conduct this study. The samples were tested under a monotonic axial compression load. The variables of interest were the strength of unconfined concrete and the number of FRRlayers. According to the results, the strengthened specimens demonstrated an increased compressive strength and ductility. Notably, the specimens with the smallest unconfined strength demonstrated the largest improvement in compressive strength and ductility. Particularly, the compressive strength and strain were enhanced by up to 181% and 564%, respectively. In order to predict the ultimate confined compressive stress and strain, this study investigated a number of analytical stress–strain models. A comparison of experimental and theoretical findings deduced that only a limited number of strength models resulted in close predictions, whereas an even larger scatter was observed for strain prediction. Machine learning was employed by using neural networks to predict the compressive strength. A dataset comprising 142 specimens strengthened with hemp FRP was extracted from the literature. The neural network was trained on the extracted dataset, and its performance was evaluated for the experimental results of this study, which demonstrated a close agreement.
คณะเทคโนโลยีสารสนเทศ
The process of treating cancer patients in the chemotherapy department at Chonburi Cancer Hospital is complicated and inconvenient due to the procedure of submitting blood test results through the personal LINE application of medical staff, which hinders workflow efficiency. Therefore, the researcher has developed a cancer patient management and tracking program in the form of a web-based application and LINE LIFF (LINE Front-end Framework) application to facilitate both medical personnel and patients. The web-based application is designed for medical personnel to monitor, schedule, and collect patient data, while the LINE application is designed for patients to submit blood test results, view appointment schedules, record symptoms after chemotherapy, log their weekly weight, and access a chatbot for consultation. This system is developed based on client-server technology, which enhances data analysis efficiency and supports automated treatment planning. As a result, the cancer treatment process becomes faster, more modern, and more efficient.