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.
ป่าไม้เป็นทรัพยากรธรรมชาติที่มีคุณค่าต่อมนุษย์มากมาย ป่าไม้เป็นแหล่งปัจจัยพื้นฐานสี่ประการที่ทำให้มนุษย์สามารถดำรงชีวิตอยู่ได้ นอกจากนี้ป่าไม้ยังเป็นที่อยู่ของสิ่งมีชีวิตต่างๆรวมถึงสัตว์ป่าและพืชพรรณนานาชนิด ปัญหาไฟป่าเป็นอีกปัจจัยที่ส่งผลให้ทรัพยากรป่าไม้เสื่อมโทรมลงอย่างมาก ส่งผลให้ป่าไม้ไม่สามารถฟื้นตัวได้ทันตามวัฏจักรธรรมชาติ ปัจจุบันประเทศไทยได้สูญเสียพื้นที่ป่าไปเป็นจำนวนมากกว่า 1000000 ไร่ในสิบปีหลังสุด และผลกระทบจากไฟป่าทำให้เกิดปัญหาหมอกควันกระจายท้่วไปในบริเวณภาคเหนือ ภาคกลาง และตะวันออกเฉียงเหนือของประเทศ ทำให้ประชาชนจำนวนมากประสบปัญหาโรคระบบทางเดินหายใจ นวัตกรรมนี้จึงถูกสร้างขึ้นเพื่อต้องการลดปัญหาไฟป่าและปกป้องคลุมครองพื้นที่ป่าของประเทศ
คณะวิศวกรรมศาสตร์
Currently, lithium batteries are widely used in electronic devices and electric vehicles, making the estimation of their State of Health (SOH) crucial. Accurate SOH estimation helps extend battery lifespan, reduce maintenance costs, and prevent safety issues such as overheating or explosions. This project aims to study and analyze mathematical models of batteries and develop SOH estimation techniques using Neural Networks to enhance accuracy and evaluation speed. The experiment involved collecting charge and discharge data from three lithium battery cells under controlled temperature conditions while maintaining a constant current. The current, voltage, and time data were recorded and analyzed to determine the battery capacity for each cycle. These data were then used to train a Neural Network model. The results demonstrated an effective method for predicting battery health status. The outcomes of this project can contribute to the development of a Battery Management System (BMS) that improves battery efficiency and longevity. Additionally, it provides a foundation for applying artificial intelligence techniques in the energy sector effectively.
คณะวิทยาศาสตร์
A new colorimetric assay for the rapid detection of tannic acid in beverage samples based on displacement phenomenon of aggregated gallic acid-modified platinum nanoparticles is developed for the first time. PtNPs were functionalized with gallic acid, promoting the formation of the green-hued aggregated nanoparticles. While colorimetry offers a rapid method for identifying tannic acid, challenges remain in sensitivity and accuracy of detection on the PtNPs colorimetric probe, particularly in the presence of anthocyanin interferences. To address this, we developed a sample preparation method to degrade anthocyanin in beverages. Tannic acid was easily displaced onto the gallic acid-coated PtNPs surfaces, causing dispersion and resulting in a visible color change from green to orange−brown. Under the optimal conditions, the colorimetric sensor exhibited a linear response in the range of 1−2,000 µmol L−1 (R2 = 0.9991). The limit of detection (LOD) and the limit of quantification (LOQ) were found at 0.02 and 0.09 µmol L−1, respectively. The proposed sensor expressed superior selectivity over other interfering substances and demonstrated excellent precision with a relative standard deviation (RSD) of 1.00%−3.36%. More importantly, recoveries ranging from 95.0−104.7% were obtained, indicating the capability of proposed colorimetric sensor to detect tannic acid rapidly and accurately in real beverage samples.
คณะวิทยาศาสตร์
The species Enterococcus lactis is closely related to E. faecium and is known for its beneficial and probiotic effects. In this study, strain RRS4 was isolated from Raphanus sativus Linn. and identified based on both phenotypic and genotypic characteristics. Strain RRS4 exhibited cell viability in environments with 2-8% NaCl, pH ranging from 4 to 9, and temperatures between 4°C and 45°C. Through comprehensive genomic analysis, strain RRS4 was confirmed to be E. lactis. E. lactis RRS4 demonstrated inhibitory effects against Vancomycin-resistant E. faecalis JCM 5803. Safety assessments via in silico methods, including KEGG annotation, indicated the absence of virulent and undesirable genes in E. lactis RRS4. VirulenceFinder analysis aligned virulence-related genes with those from three strains of E. lactis and four strains of E. faecium. While antibiotic resistance genes were found to be conserved, they did not correlate with key pathogenicity traits. Furthermore, safety evaluations highlighted that E. lactis RRS4 is generally safe, despite the presence of genes associated with antibiotic resistance. Lastly, we propose guidelines for assessing the safety of microbial strains using whole-genome analysis. These findings represent advancements in probiotic research.