The reuse of cooking oil in food preparation leads to oil degradation and the formation of harmful compounds due to oxidation. This study focuses on enhancing the stability of used palm oil through ultrasound-assisted infusion with three varieties of banana blossoms: Kluai Khai, Kluai Hom, and Kluai Nam Wa, which are rich in phenolic compounds and antioxidants. The research investigates the restoration of used palm oil by infusing dried and powdered banana blossoms using ultrasonic treatment at different temperatures and durations. The quality of the infused oil was evaluated through physical (water activity, moisture content, and color), chemical (peroxide value, acid value, and Thio barbituric acid reactive substances), and antioxidant activity (DPPH, ABTS, and FRAP) analyses.
ประเทศไทยมีการใช้น้ำมันพืชเฉลี่ยปีละ 800,000 ตัน ซึ่งการบริโภคอาหารทอดที่เพิ่มขึ้นนำไปสู่ปัญหาน้ำมันใช้แล้วที่เสื่อมสภาพและเกิดสารพิษ เช่น อนุมูลอิสระ อัลดีไฮด์ และไฮโดรเปอร์ออกไซด์ ซึ่งอาจก่อให้เกิดอันตรายต่อสุขภาพ วิธีการบำบัดน้ำมันที่ใช้แล้วในปัจจุบัน เช่น การกรองและการใช้สารดูดซับ เช่น ถ่านกัมมันต์ ยังมีข้อจำกัด ปลีกล้วยเป็นแหล่งของสารฟีนอลิก เช่น แทนนินและฟลาโวนอยด์ ซึ่งมีคุณสมบัติต้านอนุมูลอิสระและสามารถช่วยเพิ่มเสถียรภาพของน้ำมันโดยลดการเกิดออกซิเดชัน การศึกษานี้จึงมุ่งเน้นการใช้เทคโนโลยีคลื่นอัลตราโซนิคร่วมกับปลีกล้วยสายพันธุ์ต่างๆ เพื่อฟื้นฟูน้ำมันปรุงอาหารที่เสื่อมสภาพให้กลับมาใช้งานได้ ลดของเสีย และส่งเสริมการใช้ทรัพยากรอย่างยั่งยืน ซึ่งจะเป็นประโยชน์ต่อสุขภาพและสิ่งแวดล้อมในระยะยาว
วิทยาลัยนวัตกรรมการผลิตขั้นสูง
Since organic rice storage silos were faced with an insect problem, an owner solved this problem using the expert system (ES) in the controlled atmosphere process (CAP) under the required standard, fumigating insects with an N2, reducing O2 concentration to less than 2% for 21 days. This article presents the computational fluid dynamics (CFD) assisted ES successfully solved this problem. First, CFD was employed to determine the gas flow pattern, O2 concentration, proper operating conditions, and a correction factor (K) of silos. As expected, CFD results were consistent with the experimental results and theory, assuring the CFD’s credibility. Significantly, CFD results revealed that the ES controlled N2 distribution throughout the silos and effectively reduced O2 concentration to meet the requirement. Next, the ES was developed based on the inference engine assisted by CFD results and the sweep-through purging principle, and it was implemented in the CAP. Last, the experiments evaluated CAP’s efficacy in controlling O2 concentration and insect extermination in the actual silos. The experimental results and owner’s feedback confirmed the excellent efficacy of ES implementation; therefore, the CAP is effective and practical. The novel aspect of this research is a CFD methodology to create the inference engine and the ES.
คณะอุตสาหกรรมอาหาร
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.
คณะวิศวกรรมศาสตร์
This research suggested natural hemp fiber-reinforced ropes (FRR) polymer usage to reinforce recycled aggregate square concrete columns that contain fired-clay solid brick aggregates in order to reduce the high costs associated with synthetic fiber-reinforced polymers (FRPs). A total of 24 square columns of concrete were fabricated to conduct this study. The samples were tested under a monotonic axial compression load. The variables of interest were the strength of unconfined concrete and the number of FRRlayers. According to the results, the strengthened specimens demonstrated an increased compressive strength and ductility. Notably, the specimens with the smallest unconfined strength demonstrated the largest improvement in compressive strength and ductility. Particularly, the compressive strength and strain were enhanced by up to 181% and 564%, respectively. In order to predict the ultimate confined compressive stress and strain, this study investigated a number of analytical stress–strain models. A comparison of experimental and theoretical findings deduced that only a limited number of strength models resulted in close predictions, whereas an even larger scatter was observed for strain prediction. Machine learning was employed by using neural networks to predict the compressive strength. A dataset comprising 142 specimens strengthened with hemp FRP was extracted from the literature. The neural network was trained on the extracted dataset, and its performance was evaluated for the experimental results of this study, which demonstrated a close agreement.