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195 results on '"So Young Kwon"'

39. Application of regression and artificial neural network analysis of Red-Green-Blue image components in prediction of chlorophyll content in microalgae

Author

Doris Ying Ying Tang, Kit Wayne Chew, Huong-Yong Ting, Yuk-Heng Sia, Francesco G. Gentili, Young-Kwon Park, Fawzi Banat, Alvin B. Culaba, Zengling Ma, and Pau Loke Show

Subjects
Environmental Engineering, Renewable Energy, Sustainability and the Environment, Bioengineering, General Medicine, Waste Management and Disposal
Abstract

This study presented a novel methodology to predict microalgae chlorophyll content from colour models using linear regression and artificial neural network. The analysis was performed using SPSS software. Type of extractant solvents and image indexes were used as the input data for the artificial neural network calculation. The findings revealed that the regression model was highly significant, with high R

Published
2022

40. Machine learning-guided prediction of potential engineering targets for microbial production of lycopene

Author

Chang Keun Kang, Jihoon Shin, YoonKyung Cha, Min Sun Kim, Min Sun Choi, TaeHo Kim, Young-Kwon Park, and Yong Jun Choi

Subjects
Environmental Engineering, Renewable Energy, Sustainability and the Environment, Bioengineering, General Medicine, Waste Management and Disposal
Abstract

The process of designing streamlined workflows for developing microbial strains using classical methods from vast amounts of biological big data has reached its limits. With the continuous increase in the amount of biological big data, data-driven machine learning approaches are being used to overcome the limits of classical approaches for strain development. Here, machine learning-guided engineering of Deinococcus radiodurans R1 for high-yield production of lycopene was demonstrated. The multilayer perceptron models were first trained using the mRNA expression levels of the key genes along with lycopene titers and yields obtained from 17 strains. Then, the potential overexpression targets from 2,047 possible combinations were predicted by the multilayer perceptron combined with a genetic algorithm. Through the machine learning-aided fine-tuning of the predicted genes, the final-engineered LY04 strain resulted in an 8-fold increase in the lycopene production, up to 1.25 g/L from glycerol, and a 6-fold increase in the lycopene yield.

Published
2022

41. Household food waste conversion to biohydrogen via steam gasification over copper and nickel-loaded SBA-15 catalysts

Author

Surendar Moogi, Su Shiung Lam, Wei-Hsin Chen, Chang Hyun Ko, Sang-Chul Jung, and Young-Kwon Park

Subjects
Steam, Environmental Engineering, Renewable Energy, Sustainability and the Environment, Nickel, Food, Bioengineering, General Medicine, Waste Management and Disposal, Copper, Catalysis, Refuse Disposal
Abstract

Household food waste (FW) was converted into biohydrogen-rich gas via steam gasification over Ni and bimetallic Ni (Cu-Ni and Co-Ni) catalysts supported on mesoporous SBA-15. The effect of catalyst method on steam gasification efficiency of each catalyst was investigated using incipient wetness impregnation, deposition precipitation, and ethylenediaminetetraacetic acid metal complex impregnation methods. H

Published
2022

42. Integrative biohydrogen- and biomethane-producing bioprocesses for comprehensive production of biohythane

Author

Hoo Hugo Kim, Shouvik Saha, Jae-Hoon Hwang, Md. Aoulad Hosen, Yong-Tae Ahn, Young-Kwon Park, Moonis Ali Khan, and Byong-Hun Jeon

Subjects
Environmental Engineering, Bioreactors, Renewable Energy, Sustainability and the Environment, Biofuels, Fermentation, Bioengineering, General Medicine, Anaerobiosis, Waste Management and Disposal, Methane, Hydrogen
Abstract

The production of biohythane, a combination of energy-dense hydrogen and methane, from the anaerobic digestion of low-cost organic wastes has attracted attention as a potential candidate for the transition to a sustainable circular economy. Substantial research has been initiated to upscale the process engineering to establish a hythane-based economy by addressing major challenges associated with the process and product upgrading. This review provides an overview of the feasibility of biohythane production in various anaerobic digestion systems (single-stage, dual-stage) and possible technologies to upgrade biohythane to hydrogen-enriched renewable natural gas. The main goal of this review is to promote research in biohythane production technology by outlining critical needs, including meta-omics and metabolic engineering approaches for the advancements in biohythane production technology.

Published
2022

46. Production of biochar from crop residues and its application for biofuel production processes - An overview

Author

Jung Yoon Seo, Diyar Tokmurzin, Doyeon Lee, See Hoon Lee, Myung Won Seo, and Young-Kwon Park

Subjects
Soil, Environmental Engineering, Renewable Energy, Sustainability and the Environment, Biofuels, Charcoal, Bioengineering, General Medicine, Cellulose, Waste Management and Disposal, Saccharum
Abstract

A sustainable carbon-neutral society is imperative for future generations, and biochars and biofuels are inevitable choice to achieve this goal. Crop residues (CR) such as sugarcane bagasse, corn stover, and rice husk are promising sustainable resources as a feedstock for biochars and biofuels. Extensive research has been conducted on CR-based biochar production not only in environmental remediation areas but also in application for biofuel production. Here, the distribution and resource potential of major crop residues are presented. The production of CR-biochar and its applications in biofuel production processes, focusing on the latest research are discussed. Finally, the challenges and areas of opportunity for future research in terms of CR supply, CR-biochar production, and CR-biochar utilization for biofuel production are proposed. Compared with other literature reviews, this study can serve as a guide for the establishment of sustainable, economical, commercial CR-based biorefineries.

Published
2022

47. Syntrophic bacteria- and Methanosarcina-rich acclimatized microbiota with better carbohydrate metabolism enhances biomethanation of fractionated lignocellulosic biocomponents

Author

Bikram Basak, Swapnil M. Patil, Ramesh Kumar, Yongtae Ahn, Geon-Soo Ha, Young-Kwon Park, Moonis Ali Khan, Woo Jin Chung, Soon Woong Chang, and Byong-Hun Jeon

Subjects
Environmental Engineering, Bacteria, Sewage, Renewable Energy, Sustainability and the Environment, Microbiota, Bioengineering, General Medicine, Lignin, Bioreactors, Methanosarcina, Carbohydrate Metabolism, Anaerobiosis, Waste Management and Disposal, Methane
Abstract

An inadequate lignocellulolytic capacity of a conventional anaerobic digester sludge (ADS) microbiota is the bottleneck for the maximal utilization of lignocellulose in anaerobic digestion. A well-constructed microbial consortium acclimatized to lignocellulose outperformed the ADS in terms of biogas productivity when fractionated biocomponents of rice straw were used to achieve a high methane bioconversion rate. A 33.3 % higher methane yield was obtained with the acclimatized consortium (AC) compared to that of ADS control. The dominant pair-wise link between Firmicutes (18.99-40.03 %), Bacteroidota (10.94-28.75 %), and archaeal Halobacteriota (3.59-20.57 %) phyla in the AC seed digesters indicated that the keystone members of these phyla were responsible for higher methane yield. A high abundance of syntrophic bacteria such as Proteiniphilum (1.22-5.19 %), Fermentimonas (0.71-5.31 %), Syntrophomonas (0.87-3.59 %), and their syntrophic partner Methanosarcina (4.26-18.80 %) maintained the digester stability and facilitated higher substrate-to-methane conversion in the AC seed digesters. The present combined strategy will help in boosting the 'biomass-to-methane" conversion.

Published
2022

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