https://dspace.rmutk.ac.th/jspui/handle/123456789/2189 2025-10-12T03:17:06Z https://dspace.rmutk.ac.th/jspui/handle/123456789/2283 Title: Biodiversity of Lipid Producing-Bacteria Isolated from Palm Oil Industry in the South of Thailand Authors: Atipan Saimmai; Kanokrat Saisa-ard Abstract: In this study, the phylogenetic diversity of lipid producing-bacteria isolated from samples collected from palm oil industry in the south of Thailand have been investigated. From 328 isolated bacteria, 56 strains were identified as potential lipid biomass producing-bacteria by using total lipids measurement. The amount of lipid yield and lipid content was ranging between 1.07-4.64 g/L and 13.30-48.59%, respectively. The identification of the selected bacterial strains was conducted by biochemical test and 16S rRNA gene sequence analysis. The study revealed that the selected bacterial strains were belonging to 20 different genera distributed among Actinobacteria, Bacteroidetes, Firmicutes and Proteobacteria division in Eubacteria and Archaea. Among the selection of isolated lipid-producing bacteria, 10 isolated bacteria were found to be prominent lipid-producers with Bacillus subtilis TN1 as the most potential isolate with lipid content 48.59% followed by Arthrobacter humicola TN2 (45.62%), Acinetobacter baylyi TP2 (40.78%), Bacillus subtilis TN5 (37.47%) and Streptomyces glebosus SN6 (35.78%). 2018-01-01T00:00:00Z https://dspace.rmutk.ac.th/jspui/handle/123456789/2282 Title: Learning Process of Imagineering using Digital Twin in Virtual Laboratory Learning Environment Authors: พงศธร ปาลี; ปณิตา วรรณพิรุณ Abstract: This academic paper is intended to develop learning process of imagineering using digital twin in virtual laboratory learning environment. The study is divided into 2 stages: 1) the synthesis of research papers and research related to the development of the imagineering learning process through digital twin or mixed reality to enhance knowledge in virtual laboratory learning environments; 2) the appropriateness of the learning process of the imagineering learning process through digital twin or mixed reality technologies. The results showed that the learning process of the imagineering learning process is based on virtual technology. To enhance the understanding of the process of learning the imagineering learning process with digital twin included; 1) imagine 2) design 3) develop 4) present 5) improvement and 6) evaluate then study virtual laboratory consisted of 6 factors: 1) flexibility 2) convenience 3) interaction 4) motivation 5) efficiency and 6) collaboration and the learning environment consists of 5 elements : 1) resources 2) people 3) training 4) development and 5) experience learning based on the theoretical and research studies. 2018-01-01T00:00:00Z https://dspace.rmutk.ac.th/jspui/handle/123456789/2268 Title: Production Planning for Integrated Circuit Manufacturing by Applying Mathematical Models and Computer Programs Authors: Pattara Leelaprute Abstract: This research aims to design and analyze appropriate mathematical models to develop a system that supports production planning. This is done by applying computer programs and forecasting techniques for production volume to meet the targets of the company. Research findings from our case study at the integrated circuit factory showed that statistical analysis of P-Value was 0.263 higher than 0.05, which is the normal distribution at 95% confidence interval. In addition, for subsequent production planning, forecast of production volume by Exponential smoothing method is closest to the customer's actual requirement and has the lowest error percentage of 0.05%. Therefore, result shows that production planning target can be determined by appropriate forecasting method, leading to an integrated production planning that can operate effectively. 2018-01-01T00:00:00Z https://dspace.rmutk.ac.th/jspui/handle/123456789/2267 Title: Optimization of Single Cell Oil Production from Bacillus subtilis TN1 Authors: อทิพันธ์ เสียมไหม; เบญจมาศ เบญจมาศ; กนกรัตน์ ใสสอาด Abstract: The aim of this research was to optimize the conditions for growth and oil production from Bacillus subtilis TN1, isolated from palm oil industry waste in southern of Thailand. The study found that the optimum conditions were 5% (w/v) of palm oil as a carbon source, using NaNO3 0.7% (w/v) as a nitrogen source. The initial pH was adjusted to 7.0, at room temperature (30±3°C) and 200 rpm. The result shown B. subtilis TN1 gave the highest oil production of 3.41 g/L and 59% (dry weight) for lipid and lipid content, respectively. Gas chromatography analysis revealed that lipids from B. subtilis TN1 contained four major constituent fatty acids were oleic acid, linoleic acid, lauric acid and palmitic acid that are comparable to conventional vegetable oil. Based on these compositional data, single cell oils or microbial lipids from B. subtilis TN1 are a potential alternative oil feedstock for biodiesel production. 2018-01-01T00:00:00Z