The Age-Defying Dates Palm Serum is an innovative skincare product formulated with date palm extract, known for its high antioxidant content that helps reduce wrinkles and retain skin moisture. Combined with hyaluronic acid, the serum enhances hydration and skin elasticity. This research explores factors influencing consumers’ purchasing intentions, revealing a preference for anti-aging properties, product safety, and natural ingredients. This serum aims to provide a novel option in the skincare market by utilizing high-quality natural extracts.
มลภาวะและสภาวะแวดล้อมที่รุนแรงส่งผลให้ผิวเสื่อมสภาพและเกิดริ้วรอยก่อนวัย อินทผลัมเป็นพืชที่มีสารต้านอนุมูลอิสระสูง ช่วยชะลอความเสื่อมของเซลล์ผิว การนำสารสกัดจากอินทผลัมมาพัฒนาเป็นผลิตภัณฑ์เซรั่มจึงเป็นแนวทางหนึ่งในการสร้างมูลค่าเพิ่มให้กับผลผลิตทางการเกษตร รวมถึงส่งเสริมผลิตภัณฑ์จากธรรมชาติให้ได้รับการยอมรับในตลาด
คณะวิศวกรรมศาสตร์
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คณะวิทยาศาสตร์
Sugar production from sugarcane is a complex process that requires precise control. One of the major issues is sugar loss, which can result from various factors, particularly "burnt cane," before being sent to the mill. This affects the quality of the sugarcane and the efficiency of sugar extraction, along with the performance of the machinery and the properties of the cane, which impact the amount of sugar extracted. This study aims to analyze the factors that influence sugar loss in the sugar production process, using quantitative data from a sugar factory. Nine variables were examined, including mechanical efficiency, machine downtime per day, cane waiting time per day, sand content in cane juice, pol extraction efficiency, overall working time efficiency, cane juice purity, cane sugar content (C.C.S.), and burnt cane. The data were analyzed using correlation analysis to examine relationships between variables and regression modeling to predict sugar loss. The results showed that mechanical efficiency, cane sugar content, and the amount of sand or impurities in the cane juice were significantly correlated with sugar loss. Mechanical efficiency had a direct relationship with the amount of cane milled, which improved sugar production. On the other hand, burnt cane, or cane that was burnt before harvesting, resulted in reduced sugar extraction and impacted the quality of the sugar. Therefore, reducing sugar loss in the production process can be achieved by improving machine efficiency, reducing impurities in cane juice, and managing burnt cane, which will improve sugar production efficiency in the future.
คณะวิศวกรรมศาสตร์
Artificial intelligence for agriculture and environment is a collection of significant models for enviromental friendly Thailand development. The models create with machine learning and deep learning by Near infrared spectroscopy research center for agricultural and food products, including: Determining the nutrient needs (N P K) of durian trees by measuring durian leaves using a non-destructive technique using artificial intelligence, Identification of combustion properties of biomass from fast-growing trees and agricultural residues using non-destructive techniques combined with artificial intelligence, and Evaluation of global warming due to biomass combustion using non-destructive techniques using artificial intelligence. The basic technology used is Near infrared Fourier transform spectroscopy technology which measurement and output display can be done quickly without chemical, no requirement for special expert, and measurement price per sample is very low. But the instrument cannot be produced in Thailand.