Aggregatibacter actinomycetemcomitans is a key pathogen in periodontal disease, damaging periodontal ligaments and alveolar bone through biofilm formation. D-LL-31, an engineered antimicrobial peptide, exhibits superior biofilm-killing ability compared to conventional treatments, while DNase I enhances its efficacy by disrupting the biofilm matrix. This study evaluated the combined effects of D-LL-31 and DNase I on A. actinomycetemcomitans biofilms. Results showed that D-LL-31 effectively eradicated biofilms, and its combination with DNase I further enhanced biofilm disruption without cytotoxicity to gingival epithelial cells. The D-LL-31 and DNase I combination shows potential for development as a mouthwash to improve oral health and combat periodontal disease.
โรคปริทันต์เป็นปัญหาสุขภาพช่องปากที่พบบ่อย โดยมี Aggregatibacter actinomycetemcomitans (Aa) เป็นหนึ่งในเชื้อก่อโรคสำคัญ เชื้อชนิดนี้สามารถสร้างไบโอฟิล์ม ซึ่งเป็นกลไกหลักที่ช่วยให้เชื้อดื้อยาต้านจุลชีพและหลบเลี่ยงระบบภูมิคุ้มกัน ทำให้การรักษาด้วยยาปฏิชีวนะทั่วไปไม่ได้ผลอย่างมีประสิทธิภาพ การพัฒนาแนวทางใหม่ในการกำจัดไบโอฟิล์มจึงเป็นสิ่งจำเป็น งานวิจัยนี้มุ่งเน้นศึกษาประสิทธิภาพของ D-LL-31 ซึ่งเป็นเปปไทด์ต้านจุลชีพที่ถูกแปลงทางวิศวกรรม เพื่อทำลายเชื้อที่อยู่ในไบโอฟิล์ม และการใช้ DNase I เพื่อสลายโครงสร้างเมทริกซ์ของไบโอฟิล์มร่วมกัน ซึ่งอาจเป็นแนวทางใหม่ในการพัฒนา น้ำยาบ้วนปาก ที่ช่วยลดเชื้อก่อโรคในช่องปากและป้องกันโรคปริทันต์ได้อย่างมีประสิทธิภาพ
คณะเทคโนโลยีสารสนเทศ
This research presents a deep learning method for generating automatic captions from the segmentation of car part damage. It analyzes car images using a Unified Framework to accurately and quickly identify and describe the damage. The development is based on the research "GRiT: A Generative Region-to-text Transformer for Object Understanding," which has been adapted for car image analysis. The improvement aims to make the model generate precise descriptions for different areas of the car, from damaged parts to identifying various components. The researchers focuses on developing deep learning techniques for automatic caption generation and damage segmentation in car damage analysis. The aim is to enable precise identification and description of damages on vehicles, there by increasing speed and reducing the work load of experts in damage assessment. Traditionally, damage assessment relies solely on expert evaluations, which are costly and time-consuming. To address this issue, we propose utilizing data generation for training, automatic caption creation, and damage segmentation using an integrated framework. The researchers created a new dataset from CarDD, which is specifically designed for cardamage detection. This dataset includes labeled damages on vehicles, and the researchers have used it to feed into models for segmenting car parts and accurately labeling each part and damage category. Preliminary results from the model demonstrate its capability in automatic caption generation and damage segmentation for car damage analysis to be satisfactory. With these results, the model serves as an essential foundation for future development. This advancement aims not only to enhance performance in damage segmentation and caption generation but also to improve the model’s adaptability to a diversity of damages occurring on various surfaces and parts of vehicles. This will allow the system to be applied more broadly to different vehicle types and conditions of damage inthe future
คณะอุตสาหกรรมอาหาร
This study aims to investigate the encapsulation of anthocyanins in water-in-oil-in-water (W/O/W) emulsions and their spray-drying process to enhance anthocyanin stability against external factors such as light, temperature, and pH changes. The W/O/W emulsion was prepared using suitable surfactants and dried using a spray dryer at an inlet temperature of 120–140°C and an outlet temperature not lower than 80°C. The results showed that the composition ratios of water, oil, and surfactants significantly influenced the physical and chemical properties of the emulsion, as well as the encapsulation efficiency of anthocyanins. The spray-dried W/O/W emulsion demonstrated effective anthocyanin retention and improved long-term stability, making it applicable for food and health-related products.
วิทยาลัยการจัดการนวัตกรรมและอุตสาหกรรม
Diabetes is a significant global health issue, particularly due to complications related to diabetic wounds. Studies indicate that approximately 15-25% of diabetic patients develop foot ulcers, with more than 50% of severe cases leading to amputation. This results in a substantial decline in the quality of life for patients. Current treatments for diabetic wounds face challenges such as antibiotic-resistant bacterial infections and delayed wound healing, highlighting the need for innovative solutions to accelerate the healing process and reduce the risk of limb loss. Cotylelobium lanceolatum Craib, a medicinal plant long utilized in traditional Thai medicine, is known for its anti-inflammatory and wound-healing properties. This study focuses on developing an extract from Cotylelobium lanceolatum Craib in the form of nano silver (Nano Silver) to enhance the effectiveness of diabetic wound treatment. Nano silver technology enables deeper penetration into the skin, provides potent antibacterial activity, and promotes wound healing by reducing inflammation and stimulating tissue regeneration. The development of nano silver derived from Cotylelobium lanceolatum Craib extract is expected to help reduce chronic wounds in diabetic patients, lower the risk of infection, and decrease the incidence of limb amputation and mortality associated with diabetic wound complications. This research represents a significant step toward creating a safer and more effective treatment alternative for diabetic wound care.