The Herby gel are products developed to relieve stress and headaches, which often result from heavy work, a fast-paced lifestyle, or hot and humid weather. The patches are made from natural ingredients such as peppermint, neem leaves, gotu kola, aloe vera, and other herbs that effectively alleviate these symptoms. Free from alcohol, this product is safe to use and provides a cooling, soothing, and refreshing effect on the skin. It is easy to use, convenient to carry, and suitable for use in any situation, making it a practical solution for everyday discomfort.
ที่มา จากการศึกษาคุณสมบัติของสมุนไพรไทยที่มีประโยชน์ในการบรรเทาอาการต่างๆ โดยเฉพาะในเรื่องของการลดความร้อนและการบรรเทาอาการปวดหัว สมุนไพรบางชนิด เช่น ตะไคร้, มะกรูด, และใบสะระแหน่ มีคุณสมบัติในการเย็นและลดอาการปวดได้ดี ซึ่งได้ถูกนำมาใช้ในการพัฒนาเป็นผลิตภัณฑ์ที่สะดวกและใช้งานง่ายในรูปแบบของแผ่นเจลแปะหน้าผาก ที่สามารถแปะบนหน้าผากเพื่อช่วยลดอาการไม่สบายต่างๆ ได้อย่างรวดเร็วและปลอดภัย ความสำคัญ การตอบโจทย์ความต้องการของผู้บริโภคในยุคปัจจุบันที่ต้องการความสะดวกสบายและปลอดภัยในการบรรเทาอาการต่างๆ โดยไม่ต้องพึ่งพายาหรือวิธีการรักษาที่ซับซ้อน แผ่นเจลแปะหน้าผากที่ใช้สมุนไพรจากธรรมชาติช่วยให้ผู้ใช้สามารถบรรเทาอาการปวดหัวหรือไข้ได้อย่างรวดเร็วและมีประสิทธิภาพ อีกทั้งยังลดความเสี่ยงจากผลข้างเคียงที่อาจเกิดจากการใช้สารเคมีหรือยาที่มีสารเสพติด
คณะวิทยาศาสตร์
With the urgent need for rapid screening of Aflatoxin B1 (AFB1) due to its association with increased liver cirrhosis and hepatocellular carcinoma cases from contaminated agricultural foods, we propose a novel electrochemical aptasensor. This aptasensor is based on trimetallic nanoparticles AuPt-Ru supported by reduced graphene oxide (AuPt-Ru/RGO) modified on a low-cost and disposable goldleaf electrode (GLEAuPt-Ru/RGO) for detection of AFB1. The trimetallic nanoparticle AuPt-Ru was synthesized using an ultrasonic-driven chemical reduction method. The synthesized AuPt-Ru exhibited a waxberry-like appearance, with AuPt core-shell structure and ruthenium dispersed over the particles. The average particle size was 57.35 ± 8.24 nm. The AuPt-Ru was integrated into RGO sheets (inner diameter of 0.5 to 1.6 µm) in order to enhance electron transfer efficiency and increase the specific immobilizing surface area of the thiol-5’-terminated modified aptamer (Apt) to target AFB1. With a large electrochemical surface area and low electrochemical impedance, GLEAuPt-Ru/RGO displays ultra-high sensitivity for AFB1 detection. Differential pulse voltammetry (DPV) measurements revealed a linear range for AFB1 detection range from 0.3 to 30.0 pg mL-1 (R2 = 0.9972), with a limit of detection (LOD, S/N = 3) and a limit of quantification (LOQ, S/N = 10) of 0.009 pg mL-1 and 0.031 pg mL-1, respectively. The developed aptasensor also demonstrated excellent accuracy in real agricultural products, including dried red chili, garlic, peanut, pepper, and Thai jasmine rice, achieving recovery rates between 94.6 and 107.9%. The fabricated aptamer-based GLEAuPt-Ru/RGO performance is comparable to that of a modified commercial electrode, which has great potential application prospects for detecting AFB1 in agricultural products.
คณะวิทยาศาสตร์
This special problem aims to study and compare the performance of predicting the air quality index (AQI) using five ensemble machine learning methods: random forest, XGBoost, CatBoost, stacking ensemble of random forest and XGBoost, and stacking ensemble of random forest, SVR, and MLP. The study uses a dataset from the Central Pollution Control Board of India (CPCB), which includes fifteen pollutants and nine meteorological variables collected between January, 2021 and December, 2023. In this study, there were 1,024,920 records. The performance is measured using three methods: root mean square error (RMSE), mean absolute error (MAE), and coefficient of determination. The study found that the random forest and XGBoost stacking ensemble had the best performance measures among the three methods, with the minimum RMSE of 0.1040, the minimum MAE of 0.0675, and the maximum of 0.8128. SHAP-based model interpretation method for five machine learning methods. All methods reached the same conclusion: the two variables that most significantly impacted the global prediction were PM2.5 and PM10, respectively.
คณะวิทยาศาสตร์
This study aimed to investigate the effectiveness of extracts from moringa seeds, roselle seeds, and tamarind seeds as coagulants to improve water quality in surface water sources. Extracts from these seeds serve as environmentally friendly coagulants and provide alternative options for enhancing surface water quality. The turbidity of surface water sources ranged between 14 and 24 NTU. The coagulation process used the Jar Test method, where the moringa seed, roselle seed, and tamarind seed extracts functioned as both primary coagulants and coagulant aids. In the preparation process, the seeds were finely ground and extracted using a 0.5-M sodium chloride (NaCl) solution. These extracts were then applied as coagulants to reduce turbidity and enhance water quality, with each concentration tested in 300 ml of water. The results indicated that the most effective way to remove turbidity using 2,000 mg/L of moringa seed extract, achieving a turbidity reduction of approximately 73.19% at a cost of 0.0309 baht per 300 ml of water. Followed by Tamarind seed extract, with a concentration of 4,000 mg/L, followed with a turbidity reduction of approximately 56.75% at a cost of 0.0933 baht per 300 ml. Lastly, roselle seed extract at 6,000 mg/L achieved a turbidity reduction of approximately 32.67% at a cost of 0.0567 baht per 300 ml of water.