The photoelectrochemical detection of salbutamol, which is illicitly used as a lean meat promoter in pigs, is investigated using a molecularly imprinted polymer (MIP)-based sensor with a CuO/g-C₃N₄ nanocomposite to enhance detection performance, leveraging nanomaterials and molecular imprinting for high selectivity and sensitivity. This approach offers a promising strategy for the precise and efficient analysis of salbutamol in food samples.
ความปลอดภัยทางด้านอาหารเป็นหนึ่งปัจจัยที่มีผลสำคัญต่อสุขภาพและการดำเนินชีวิตประจำวัน เนื่องมาจากปัญหาการปนเปื้อนของสารเคมีในอาหารซึ่งก่อให้เกิดปัญหาตามมา อาทิเช่น อาการเจ็บป่วยเล็กน้อย ผลข้างเคียงหรือโรคที่เกี่ยวกับทางเดินอาหาร ไปจนถึงทำให้เสียชีวิตได้ สารซาลบูทามอลเป็นสารที่หาซื้อได้ง่ายเนื่องจากเป็นยาที่ถูกใช้กับผู้ที่เป็นโรคหอบหืดหรือโรคที่เกี่ยวกับระบบหายใจเรื้อรัง โดยสารชนิดนี้ถูกใช้ในทางที่ผิด เช่น การโดปของนักกีฬาหรือเพื่อการเร่งเนื้อแดงในสัตว์ได้
คณะอุตสาหกรรมอาหาร
This study aims to investigate the co-encapsulation technique of vitamin C and coenzyme Q10 within liposomes to enhance their stability and encapsulation efficiency and evaluate their antioxidant activity and release behavior under simulated gastrointestinal conditions. Liposomes were prepared using the High-Speed Homogenization Method, and their characteristics, including particle size, zeta potential, encapsulation efficiency, and antioxidant activity, were analyzed using DPPH, ABTS, and FRAP assays. The results demonstrated that co-encapsulation significantly improved the stability of vitamin C and coenzyme Q10 compared to single encapsulation. The liposomes exhibited high encapsulation efficiency and maintained strong antioxidant activity. The release profile under simulated gastrointestinal conditions also indicated a sustained and controlled release. These findings highlight the potential of the co-encapsulation technique in enhancing the efficacy of functional bioactive compounds, making it applicable to the food and nutraceutical industries.
คณะวิศวกรรมศาสตร์
This thesis presents the application of deep learning for object classification. The selected deep learning architectures studied include Convolutional Neural Networks (CNN) and ResNet18. It covers data preparation, feature extraction, parameter tuning for accuracy comparison, and performance evaluation of the selected models. The aim is to propose an efficient model for use in devices that assist visually impaired individuals in classifying indoor objects and providing sound alerts.
คณะวิศวกรรมศาสตร์
The purpose of this invention is to develop a forest fire prevention agent that has the ability to prevent long-term forest fires, not only to suppress forest fires or prevent forest fires from spreading widely, but to prevent them from starting to catch fire from the beginning. It can prevent forest fires comprehensively and can be prevented for a long time during the peak forest fire period or the dry season, which is about 3-4 months. There are no residues or minimal residues without causing harm to the surrounding environment under the specified standards. Emphasis is placed on the use of raw materials, equipment, and chemicals that can be easily found in Thailand. This includes using the value of production costs as low as possible. This makes it suitable for use in large quantities for spraying and protecting forest areas in forest areas that are prone to fire. Estimated average for pollution caused by forest fires include particulate matter (PM), including PM2.5, PM10, carbon monoxide (CO), carbon dioxide, carbon dioxide, and carbon dioxide, Nitrogendioxide, VOC etc.