This research focuses on the development of mango powder using the foam-mat drying method, which is an effective technique for preserving the quality of fruit and vegetable products. Hydroxypropyl Methylcellulose (HPMC) was used as a foaming agent. The study evaluated the effects of HPMC on the chemical and physical properties, antioxidant activity, and shelf life of mango powder. The findings indicated that HPMC plays a crucial role in improving the foam stability before drying and enhancing the quality of the dried powder. This research provides a valuable approach to adding value to substandard mango yields and reducing agricultural waste. It also contributes to the development of high-nutritional processed food products with extended shelf life.
มะม่วงเป็นผลไม้ที่ได้รับความนิยมอย่างแพร่หลายและมีการปลูกอย่างกว้างขวางในประเทศไทย อย่างไรก็ตาม ผลผลิตมะม่วงในบางช่วงมีปริมาณมากเกินความต้องการของตลาด ส่งผลให้เกิดปัญหามะม่วงล้นตลาดและราคาตกต่ำ นอกจากนี้ มะม่วงสดยังมีอายุการเก็บรักษาสั้นและเน่าเสียได้ง่าย การแปรรูปมะม่วงให้เป็นผลิตภัณฑ์ที่มีอายุการเก็บรักษานานขึ้นจึงเป็นแนวทางหนึ่งที่ช่วยเพิ่มมูลค่าและลดการสูญเสียผลผลิตทางการเกษตร การอบแห้งแบบโฟม-แมท (Foam-mat drying) เป็นหนึ่งในเทคนิคการแปรรูปที่สามารถรักษาคุณค่าทางโภชนาการ สี กลิ่น และรสชาติของผลไม้ได้ดี การใช้ไฮดรอกซีโพรพิลเมทิลเซลลูโลส (Hydroxypropyl Methylcellulose, HPMC) เป็นสารก่อโฟมช่วยให้โฟมมีความคงตัวมากขึ้น ทำให้กระบวนการอบแห้งมีประสิทธิภาพยิ่งขึ้น งานวิจัยนี้จึงมีความสำคัญในการพัฒนาผลิตภัณฑ์มะม่วงผงที่มีคุณภาพดี เก็บรักษาได้นาน และมีคุณสมบัติต้านอนุมูลอิสระ ซึ่งสามารถตอบสนองต่อความต้องการของตลาดและสนับสนุนการใช้ทรัพยากรทางการเกษตรอย่างยั่งยืน
คณะวิทยาศาสตร์
Otitis Media is an infection of the middle ear that can occur in individuals of all ages. Diagnosis typically involves analyzing images taken with an otoscope by specialized physicians, which relies heavily on medical experience to expedite the process. This research introduces computer vision technology to assist in the preliminary diagnosis, aiding expert decision-making. By utilizing deep learning techniques and convolutional neural networks, specifically the YOLOv8 and Inception v3 architectures, the study aims to classify the disease and its five characteristics used by physicians: color, transparency, fluid, retraction, and perforation. Additionally, image segmentation and classification methods were employed to analyze and predict the types of Otitis Media, which are categorized into four types: Otitis Media with Effusion, Acute Otitis Media with Effusion, Perforation, and Normal. Experimental results indicate that the classification model performs moderately well in directly classifying Otitis Media, with an accuracy of 65.7%, a recall of 65.7%, and a precision of 67.6%. Moreover, the model provides the best results for classifying the perforation characteristic, with an accuracy of 91.8%, a recall of 91.8%, and a precision of 92.1%. In contrast, the classification model that incorporates image segmentation techniques achieved the best overall performance, with an mAP50-95 of 79.63%, a recall of 100%, and a precision of 99.8%. However, this model has not yet been tested for classifying the different types of Otitis Media.
วิทยาลัยนวัตกรรมการผลิตขั้นสูง
Induction Heating Machine (IHM) is a crucial device in the jewelry industry, utilizing electromagnetic fields to generate heat and join precious metals. This research focuses on developing a Dual Coil Induction Heating Machine (Dual Coil IHM) to enhance production efficiency and reduce costs in jewelry factories using Electromagnetic Analysis (EMA) through Ansys Maxwell software. The research process began with testing a single-coil IHM under real operating conditions and using EMA to analyze the generated magnetic flux density (B). Subsequently, dual-coil configurations in Parallel and Series arrangements were designed and compared. The experimental results revealed that the series dual coil produced a higher magnetic flux and allowed for optimizing current (I), frequency (f), number of coil turns (N), and coil spacing (d) for better manufacturing performance. The findings indicate that the series dual-coil IHM can double production capacity compared to the conventional single-coil model. Furthermore, EMA technology minimizes physical testing, reduces errors, and enhances precision in designing industrial machinery for the jewelry manufacturing sector.
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.