This research aimed to isolate and culture four strains of lactic acid bacteria (LAB) isolated from fermented foods. The antimicrobial activity of the lactic acid bacteria was studied using the agar spot method and the antibiotic resistance properties of the lactic acid bacteria were studied using the agar overlay diffusion method. The results showed that each strain of lactic acid bacteria had different levels of antimicrobial activity and antibiotic resistance, which are safety properties of probiotic microorganisms.
จุลินทรีย์โพรไบโอติก (Probiotic) หมายความว่า จุลินทรีย์ที่มีชีวิต ซึ่งเมื่อร่างกายได้รับในปริมาณที่เพียงพอจะทำให้เกิดผลที่เป็นประโยชน์ต่อสุขภาพ อาหารที่มีการใช้จุลินทรีย์โพรไบโอติกต้องได้รับอนุญาตจากสำนักงานคณะกรรมการ อาหารและยา และ ต้องใช้จุลินทรีย์ตามที่กำหนดไว้ ดังนั้นการวิจัยนี้จึงนำเชื้อแบคทีเรียแลคติกที่แยกได้จากอาหารหมัก 4 สายพันธุ์ มาศึกษาฤทธิ์การต้านเชื้อแบคทีเรียก่อโรคในอาหาร และ ศึกษาสมบัติการดื้อยาของเชื้อแบคทีเรียแลคติก
คณะวิศวกรรมศาสตร์
The integration of intelligent robotic systems into human-centric environments, such as laboratories, hospitals, and educational institutions, has become increasingly important due to the growing demand for accessible and context-aware assistants. However, current solutions often lack scalability—for instance, relying on specialized personnel to repeatedly answer the same questions as administrators for specific departments—and adaptability to dynamic environments that require real-time situational responses. This study introduces a novel framework for an interactive robotic assistant (Beckerle et al. , 2017) designed to assist during laboratory tours and mitigate the challenges posed by limited human resources in providing comprehensive information to visitors. The proposed system operates through multiple modes, including standby mode and recognition mode, to ensure seamless interaction and adaptability in various contexts. In standby mode, the robot signals readiness with a smiling face animation while patrolling predefined paths or conserving energy when stationary. Advanced obstacle detection ensures safe navigation in dynamic environments. Recognition mode activates through gestures or wake words, using advanced computer vision and real-time speech recognition to identify users. Facial recognition further classifies individuals as known or unknown, providing personalized greetings or context-specific guidance to enhance user engagement. The proposed robot and its 3D design are shown in Figure 1. In interactive mode, the system integrates advanced technologies, including advanced speech recognition (ASR Whisper), natural language processing (NLP), and a large language model Ollama 3.2 (LLM Predictor, 2025), to provide a user-friendly, context-aware, and adaptable experience. Motivated by the need to engage students and promote interest in the RAI department, which receives over 1,000 visitors annually, it addresses accessibility gaps where human staff may be unavailable. With wake word detection, face and gesture recognition, and LiDAR-based obstacle detection, the robot ensures seamless communication in English, alongside safe and efficient navigation. The Retrieval-Augmented Generation (RAG) human interaction system communicates with the mobile robot, built on ROS1 Noetic, using the MQTT protocol over Ethernet. It publishes navigation goals to the move_base module in ROS, which autonomously handles navigation and obstacle avoidance. A diagram is explained in Figure 2. The framework includes a robust back-end architecture utilizing a combination of MongoDB for information storage and retrieval and a RAG mechanism (Thüs et al., 2024) to process program curriculum information in the form of PDFs. This ensures that the robot provides accurate and contextually relevant answers to user queries. Furthermore, the inclusion of smiling face animations and text-to-speech (TTS BotNoi) enhanced user engagement metrics were derived through a combination of observational studies and surveys, which highlighted significant improvements in user satisfaction and accessibility. This paper also discusses capability to operate in dynamic environments and human-centric spaces. For example, handling interruptions while navigating during a mission. The modular design allows for easy integration of additional features, such as gesture recognition and hardware upgrades, ensuring long-term scalability. However, limitations such as the need for high initial setup costs and dependency on specific hardware configurations are acknowledged. Future work will focus on enhancing the system’s adaptability to diverse languages, expanding its use cases, and exploring collaborative interactions between multiple robots. In conclusion, the proposed interactive robotic assistant represents a significant step forward in bridging the gap between human needs and technological advancements. By combining cutting-edge AI technologies with practical hardware solutions, this work offers a scalable, efficient, and user-friendly system that enhances accessibility and user engagement in human-centric spaces.
คณะอุตสาหกรรมอาหาร
Spent coffee grounds (SCG) are a byproduct of the coffee brewing process, and their quantity continues to increase due to the growing global coffee consumption. SCG contain beneficial compounds such as polysaccharides, dietary fibers, and antioxidants, which can be utilized in various applications, including prebiotic extraction. This study focuses on extracting prebiotics from SCG using acid hydrolysis and enzymatic hydrolysis methods to evaluate their potential in promoting the growth of beneficial gut microorganisms. The expected results of this research include adding value to coffee industry waste, reducing organic waste, and providing a sustainable approach to developing prebiotic products for use in the food and health industries. Furthermore, this study aligns with sustainable resource utilization and environmentally friendly practices.
คณะวิทยาศาสตร์
Photocatalytic materials decorated with bi-metallic nanoparticles (Bi-Metallic NPs/ photocatalyst) was synthesized for the degradation of aflatoxin B1. Bi-metallic NPs/ photocatalyst were synthesized by ultrasonic irradiation. The as-synthesized was characterized the chemical characteristics by the transmission electron microscope (TEM), X-ray photoelectron spectroscopy (XPS), X-ray diffraction analysis (XRD), Fourier transform infrared spectrometer (FT-IR), zeta potential analyzer, and UV-visible spectrophotometer. Bi-metallic NPs/photocatalyst was used to evaluate the degradation efficiency of AFB1 in household wastewater under visible light. The degradation process was analyzed using high-performance liquid chromatography (HPLC) at a wavelength of 365 nm, revealing that AFB1 was completely degraded 100% within 2 minutes. This superior performance is attributed to its highly porous structure, increased specific surface area, and reduced electron-hole recombination rate, which demonstrate that the developed nanomaterial has successfully achieved AFB1 degradation.