Lerkkasemsan, Nuttapol
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Lerkkasemsan, Nuttapol
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nuttapol.le@kmitl.ac.th
15 results
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Item type:Publication, Study of ethanol fermentation reaction using Saccharomyces diastaticus in a two-tank fermentation system with cell recycling(2018-10-01); Lee, Wen ChienExperimental data of ethanol fermentation in a two-tank system with cell recycling using sucrose as a substrate were investigated to establish a kinetic model that described the reaction. Flocculent yeast Saccharomyces diastaticus LORRE-316 was used as the fermenting yeast, and the fermentation medium comprised 80 g/L sucrose, 10 g/L yeast extract, 10 g/L peptone, 2 g/L potassium phosphate monobasic (KH<inf>2</inf>PO<inf>4</inf>), and 0.5 g/L magnesium sulfate heptahydrate (MgSO<inf>4</inf>·7H<inf>2</inf>O). Three models, the Monod model, the modified Monod model, and the extended-modified Monod model, were used to describe fermentation, and the extended-modified Monod model described the reaction more accurately than the other two models. The model took substrate limitations plus substrate and ethanol inhibitive effects into consideration, and was modified to include assumptions that included terms for substrates (sucrose, glucose and fructose) and product (ethanol). In addition, the ethanol concentration had a significant effect on cell growth. The results of Lineweaver–Burk plots showed that the maximum specific growth rate (μ<inf>MAX</inf>) and the Monod constant (K<inf>S</inf>) were 0.72/h and 26.77 g/L, respectively. The models were suitable for describing the experimental data. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Mn-Fe Prussian blue analogue as low-cost robust cathode for non-aqueous Zn-ion batteries(2023-03-01) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Outer-tubes Falling Film Evaporator with Well-Mixed Surface Renewal(2017-01-01); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Kinetic modeling of CO2 gasification reactivity of Palm Kernel Shell (PSK)(2017-01-01)This research demonstrates the investigation of gasification reactivity behavior of palm kernel shell bio char using thermogravimetric analysis (TGA) at 850, 900 or 950°C under CO<inf>2</inf>. There are three fluid-solid kinetic models used to describe the reaction behavior of palm kernel shell bio char. The three models are volumetric model (VM), grain model (GM), and random pore model (RPM). From model results, the GM model and RPM model describe the reaction quite well. However, the GM model is considered as the best model in all three models to describe the reactivity of palm kernel shell bio char gasification reaction. From the GM model, the reaction starts from the surface and it moves to the core. As time go on, the gasify agent will defuse through the core and it keep the reaction go into the core. The activation energy of gasification reactivity of palm kernel shell bio char are 150kJ/mol for GM model. From the results, the coefficient of determination of GM model are 0.989, 0.989, and 0.961 at 850, 900, 950°C respectively. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Kinetic Study of Steam Gasificaiton of Palm Kernel Shell Char(2020-05-27)In this work, we investigate the reaction mechanism of steam gasification reaction of palm kernel shell char. The experiment results which are used in this work are carried on at temperature of 1123, 1173, and 1223K. The isothermal steam gasification of palm kernel shell char is described by mathematic models including volumetric model (VM), grain model (GM), random pore model (RPM), and modified random pore model (mRPM). From results, we found that the RPM model can predict gasification of palm kernel shell char better than other models. The RPM model considers the overlapping of pore surfaces, which results in the reduction of surface area available for the reaction. The activation energy of gasification reactivity of palm kernel shell char is 152.63 kJ/mol for RPM model. The coefficient of determination of RPM model are 0.9920, 0.9995, and 0.9907 at 1123, 1173, and 1223 K respectively. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Efficient and selective electrosynthesis of 4-aminophenol at circumneutral pH from the electrocatalytic reduction of nitrophenol over the nickel-iron phosphide modified electrode(2023-12-01) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A study of eutectic temperature of sugar mixture for thermal energy storage(2021-08-02) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Solvent Selection for Mitragynine Extraction by Hansen Solubility Parameter(2023-01-01); Mitragyna speciosa (Korth.) Havil., commonly known as “Kratom” has a wide range of therapeutic benefits. In this research study the solvents that can be used to extract Mitragynine from kratom leaves. To predict solubility parameters, Hansen solubility parameters were employed. Then analyzing the solubility parameters using the ProCAPE application However, Mitragynine cannot directly determine the solubility. Instead, a method for evaluating the solubility from derivatives of Mitragynine was used in this study. A ternary graph shows the solubility of the derivatives and solvents. The solvents selected were considered for safety from the GSK’s Solvent Selection Guide. From the results, it was found that several types of solvents which that were dissolved derivatives of Mitragynine better than conventional solvents. Additionally, while using ProCAPE, the solubility parameters were predicted from extraction-related research was applied, and the results were shown as ternary graphs. The graphs were confirmed to be in accordance with the experimental data from the research that was collected. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Predicting Conversion from Pyrolysis of Pongmia(2015-01-01)This research demonstrates the technique of predicting pyrolysis of lignocellulosic biomass. Modeling of pyrolysis of biomass is complex and challenging because of short reaction times, temperatures as high as a thousand degrees Celsius, and biomass of varying or unknown chemical compositions. As such a deterministic model is not capable of representing the pyrolysis reaction system. To be able to predict a pyrolysis reaction of an unknown lignocellulosic biomass without an experimental data support or data fitting is an even more challenging work. In this research, we are trying to predict pyrolysis of Pongmia in Nitrogen to demonstrate that our technique is useful for predicting pyrolysis reaction of other biomass source. There are three main chemical compositions in lignocellulosic biomass which are cellulose, hemicellulose and lignin. We are considering that the total pyrolysis reaction is affected by the reaction of three main compositions. However, these three main chemical compositions of biomass is vary not only by type of biomass but also by other things such as where it is grown or even which part of biomass since the chemical compositions in the leaf can be different from the trunk. Our propose method is an extending study of our previous paper "pyrolysis of biomass-fuzzy modeling". Our model successfully gives a good predicting result. The result shows that our model can predict 91.82% of pyrolysis of Pongmia in Nitrogen correctly without any data from the experiment. Therefore, we could use this method to predict other lignocellulosic biomass before we perform an experiment. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Study of Lignin Extracted from Rubberwood Using Microwave Assisted Technology for Fuel Additive(2022-02-01)