Listeriosis is a severe foodborne illness characterized by a fatality rate exceeding 30%, attributed to the pathogen Listeria monocytogenes. This study evaluated 160 lactic acid bacteria (LAB) isolated from Thai pickled crabs for their potential as agents against L. monocytogenes and for their probiotic properties and probiogenomic characteristics. Among these strains, strain DRC3-2 exhibited activity through the synthesis of bacteriocin DRC3-2, which significantly inhibited L. monocytogenes ATCC 19115 in spot-on-lawn assays. Phenotypic and whole-genome analyses revealed that strain DRC3-2 thrived in environments with 2-6% NaCl, pH values ranging from 3 to 9, and temperatures between 25 and 45°C. Based on average nucleotide identity (ANI) and digital DNA‒DNA hybridization (dDDH) values, strain DRC3-2 was taxonomically classified as Lactococcus lactis subsp. hordinae. The production of bacteriocin DRC3-2 peaked during the late stationary phase, following its synthesis in the early exponential growth phase. BAGEL4 analysis identified the putative novel bacteriocin DRC3-2 as lactococcin A and B, with respective bit-scores of 40.05 and 36.58. In silico safety assessments confirmed the nonpathogenic nature of strain DRC3-2 in humans, highlighting its absence of antibiotic resistance genes. Finally, this investigation underscores the novel bacteriocin DRC3-2 for application in the prevention and treatment of L. monocytogenes infections.
Listeria monocytogenes เป็นเชื้อก่อโรคที่มักพบในอาหารที่มีการปนเปื้อน สามารถอยู่รอดในสภาวะที่รุนแรง เช่น อุณหภูมิต่ำ ความเป็นกรดสูง ความเข้มข้นของเกลือสูง ซึ่งทำให้มีความเสี่ยงอย่างมากในระบบย่อยอาหารของมนุษย์ ดังนั้นจึงศึกษาแบคทีเรียกรดแลคติกที่มีความสำคัญในอุตสาหกรรมอาหารและยาเนื่องจากมีคุณสมบัติเป็นโพรไบโอติก และแบคทีเรียกรดแลคติกบางชนิดที่สามารถผลิตแบคเทอริโอซินหรือเปปไทด์ต้านจุลชีพที่มีฤทธิ์ทางชีวภาพ และแบคเทอริโอซินที่มีประสิทธิภาพในการยับยั้งแบคทีเรียก่อโรค ซึ่งถือว่าเป็นทางเลือกที่น่าสนใจแทนการใช้ยาปฎิชีวนะแบบดั้งเดิม เนื่องจากช่วยลดการพัฒนาการดื้อยาของแบคทีเรีย นอกจากนี้แบคเทอริโอซินยังมีความเสถียรสูง สามารถทนต่ออุณหภูมิที่รุนแรงและสภาวะเป็นกรดได้ อีกทั้งยังไม่เป็นพิษต่อเซลล์มนุษย์ การศึกษานี้จึงมุ่งหมายเพื่อศึกษาแบคเทอริโอซินชนิดใหม่จาก Lactococcus lactis subsp. hordinae DCR3-2 ซึ่งแยกได้จากปูดอง เพื่อประเมินฤทธิ์การต้านจุลชีพของแบคทีเรียชนิดนี้ และการวิเคราะห์ทางbioinformatics เพื่อยืนยันว่าสายพันธุ์ DCR3-2 มีความปลอดภัยสำหรับมนุษย์และมีคุณสมบัติโพรไบโอติก
คณะเทคโนโลยีการเกษตร
Public Park Project: Coastal folk Park is a design park in the area of Ang Sila Subdistrict, Chonburi Province. In an area of 22 acre, it is intended to be a place of rest, recreation, and also a source of learning and conservation of the seashore and the traditional way of life of the area.
คณะครุศาสตร์อุตสาหกรรมและเทคโนโลยี
Industrial Education and Technology, King Mongkut's Institute of Technology Ladkrabang has a vision for sustainable excellence. The mission is to develop learners to be ready for the digital world, develop educational innovations using research as a base, strategic management with good governance, and academic services that benefit society. In this activity, the group of students joined with the Embassy of the Russian Federation in the Kingdom of Thailand, the working group of the Thai Silk and Culture Promotion Association, and the working group of the National Research Office (NRCT) to integrate knowledge to design a silk outfit that combines Thai and Russian cultures, create a network of cooperation in arts, culture, technology, innovation, and dissemination of knowledge and the beauty of Thai silk. The objective is to develop the potential of teachers and students in creative design, listen to the work guidelines from the working group of the Thai Silk and Culture Promotion Association, the working group of the National Research Office (NRCT) via an online meeting. The team of teachers and students from King Mongkut's Institute of Technology Ladkrabang under the name of the "Love Silk" group designed a Thai silk outfit that combines cultures with the identity of Thai silk and studying traditions and cultures of the Russian Federation's clothing. They studied related literature and research documents and integrated knowledge into the design process, inspired by the concept of the Rajapataen outfit. Since the reign of King Chulalongkorn (Rama V) in 1872, together with the clothing culture of the Russian Federation, emphasizing Thai silk, this concept has gone through the process of creating and selecting the design concept (Concept Generation and Selection). The concept received from the embassy was first submitted for feedback on July 25, 2024. There was a suggestion to add more uniqueness to Thai silk through a fashion show presentation by the wife and grandson of the Ambassador of the Russian Federation. Therefore, the designed outfits are 1 set of women's clothes and 1 set of boys' clothes. The women's set has an inner shirt adapted from the royal outfit using silk fabric, Kon Ka-ed pattern, with two separate pieces: 1 shirt and 1 skirt. The jacket is a modified long suit style, plain silk, dark pink and red. The boys' set has a long-sleeved shirt adapted from the contemporary royal style, tailored with cream silk, long slacks tailored with raw betel silk, and a collarless coat with blue silk and lotus pattern. Adapted from the Rajapattan suit with a long collar in an international style. On August 2, 2024, the designed suit and the prototype of the raw fabric suit were brought to the ambassador's wife and nephew to try on. On August 30, 2024, the ambassador was met for the 4th time to bring the silk suit that was cut into a real silk suit. The shirt was given to the ambassador's wife and nephew to try on. It was worn to join the fashion show in the 13th "Thai Silk to the World" Silk Festival at the Naval Auditorium, where lecturers and students from the Faculty of Industrial Education and Technology, King Mongkut's Institute of Technology Ladkrabang, joined the fashion show in the finale round, which proceeded smoothly. After the event, the working group of the Thai Silk and Culture Promotion Association brought the clothes designed and tailored by the "Rak Prae Mai" team to exhibit Thai Silk to the World Exhibition from September 1-8, 2024 at the Emsphere Shopping Mall. The team summarized the report and compiled a complete report. In the implementation of this project, the Faculty of Industrial Education and Technology, King Mongkut's Institute of Technology Ladkrabang has received support and facilitation throughout the project. The budget support from the National Research Council of Thailand (NRCT), the support of fabrics for sewing from the Thai Silk and Culture Promotion Association, and the information for designing valuable silk dresses from the Embassy of the Russian Federation in the Kingdom of Thailand are very important factors that made this operation a success. It is a very important experience for the team of teachers and students of Industrial Education and Technology, King Mongkut's Institute of Technology Ladkrabang. We sincerely hope to receive good cooperation in the future.
วิทยาลัยอุตสาหกรรมการบินนานาชาติ
The capture of a target spacecraft by a chaser is an on-orbit docking operation that requires an accurate, reliable, and robust object recognition algorithm. Vision-based guided spacecraft relative motion during close-proximity maneuvers has been consecutively applied using dynamic modeling as a spacecraft on-orbit service system. This research constructs a vision-based pose estimation model that performs image processing via a deep convolutional neural network. The pose estimation model was constructed by repurposing a modified pretrained GoogLeNet model with the available Unreal Engine 4 rendered dataset of the Soyuz spacecraft. In the implementation, the convolutional neural network learns from the data samples to create correlations between the images and the spacecraft’s six degrees-of-freedom parameters. The experiment has compared an exponential-based loss function and a weighted Euclidean-based loss function. Using the weighted Euclidean-based loss function, the implemented pose estimation model achieved moderately high performance with a position accuracy of 92.53 percent and an error of 1.2 m. The in-attitude prediction accuracy can reach 87.93 percent, and the errors in the three Euler angles do not exceed 7.6 degrees. This research can contribute to spacecraft detection and tracking problems. Although the finished vision-based model is specific to the environment of synthetic dataset, the model could be trained further to address actual docking operations in the future.