This research aims to optimize the production process of gamma-aminobutyric acid (GABA) in fermented pineapple juice using probiotics and acetic acid bacteria (AAB), which are microorganisms with the potential to enhance GABA levels. This process has been developed to improve the nutritional value of fermented pineapple juice and to increase the economic value of Thai pineapples, which have long suffered from low market prices. This study focuses on determining the optimal conditions for GABA production by examining factors such as sugar content, pH levels, fermentation duration, and L-glutamate concentration, as well as the co-cultivation of probiotics and acetic acid bacteria. The experiments are conducted using controlled fermentation techniques, and the bioactive components of the fermented juice are analyzed with advanced instruments such as HPLC and GC-MS. The findings of this research are expected to contribute to the development of formulations and production processes for a high-GABA pineapple-based functional beverage. This product could offer health benefits such as stress reduction, cognitive function enhancement, and relaxation while also strengthening the potential of Thailand’s fermented food and beverage industry.
การพัฒนากระบวนการผลิตกรดแกมมา-อะมิโนบิวทิริก (γ -aminobutyric acid) ในเครื่องดื่มจากน้ำสับปะรดด้วยโพรไบโอติกซึ่งเน้นการใช้แบคทีเรียกรดอะซิติกและโพรไบโอติกเพื่อเพิ่มประสิทธิภาพการผลิต GABA โดยที่มาของการวิจัยนี้เกิดจากความต้องการแก้ไขปัญหาราคาสับปะรดของไทยซึ่งมีราคาต่ำมาเป็นเวลานาน การผลิตเครื่องดื่มที่มี GABA สูง มีประโยชน์ต่อสุขภาพ เช่น ช่วยในการผ่อนคลาย ลดความวิตกกังวล และส่งเสริมการทำงานของสมอง
คณะวิศวกรรมศาสตร์
The designing of mosquitoes counting system instrument is presented in this work. The mosquitoes that were counted died in order not to measure duplicate counting data. As soon as the input source counting machine can detect the mosquito, the single trigger signal is transmitted to the IOT system to interrupt the server immediately. The number of real mosquito is not transmitting to the IOT but only a signal to interrupt the server. The server records the number of the interrupt signal with real-time clock. Then the interrupt information will be further handled. The front end counting machine consist of the high voltage generate with the suitable voltage value and electrode distance for the required mosquitoes size. The low trigger pulse signals of the mosquitoes killed by high voltage are sending to the controller unit. Immediately, interrupt counting signal of the number of mosquitoes is sent to the big stream data collection on IOT system by the time stamp technique. Form the measurement results, 10 live sample mosquitoes in a limited space box to fly though the counting machine show that the count results are 100% correct count.
คณะครุศาสตร์อุตสาหกรรมและเทคโนโลยี
This project presents the development of a single-frequency GPS-based total electron content measurement tool. It applies theories related to total electron content in the ionospheric layer and the measurement of total electron content using GPS time delay to design the single-frequency GPS total electron content measurement tool. The tool consists of an antenna, a single-frequency GPS satellite receiver, a data processing unit for evaluating and calculating total electron content, and a display unit for showing total electron content data. The performance of the single-frequency GPS total electron content measurement tool is tested by comparing it with total electron content data obtained from the International Reference Ionosphere (IRI) model, which is a global reference model for electron content. The tool is also put to practical use. The results of the comparison and practical applications conclude that the single-frequency GPS-based total electron content measurement tool can be effectively utilized, with the difference from the IRI model being 50 TECU
คณะวิทยาศาสตร์
This project presents the development of a "Smart Cat House" using Internet of Things (IoT) and image processing technology to facilitate and enhance the safety of cat care for owners. The infrastructure of the smart cat house consists of an ESP8266 board connected to an ESP32 CAM camera for cat monitoring, and an Arduino board that controls various sensors such as a motion sensor in the litter box, a DHT22 temperature and humidity sensor, an ultrasonic water and food level sensor, including a water supply system for cats, an automatic feeding system, and a ventilation system controlled by a DC FAN that adjusts its operation according to the measured temperature to maintain a suitable environment. There is also an IR sensor to detect the cat's entry into the litter box and an automatic sand changing system with a SERVO MOTOR. All systems are connected and controlled through the Blynk application, which can be used on mobile phones, allowing owners to monitor and care for their pets remotely. Cat detection and identification uses image processing technology from the ESP32 CAM camera in conjunction with YOLO (You Only Look Once), a high-performance object detection algorithm, to detect and distinguish between cats and people. Data from various sensors are sent to the Arduino board to control the operation of various devices in the smart cat house, such as turning lights on and off, automatically changing sand, adjusting temperature and humidity, feeding food and water at scheduled times, or ventilation. The use of a connection system via ESP8266 and the Blynk application makes it easy and convenient to control various devices. Owners can monitor and control the operation of the entire system from anywhere with internet access.