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Genome mining of siderophore-producing bacteria Acinetobacter sp. strain AHP123
Husna,Myeong-hee Won,Myeong-In Jeong,Kwang Kyo Oh,Chae-hoon Paik 한국식품과학회 2023 한국식품과학회지 Vol.55 No.4
Acinetobacter sp. strain AHP123 is an intriguing bacterium exhibiting multiple plant growth-promoting traits. This study elucidated the genetic underpinnings of these traits and investigated the presence of antimicrobial resistance genes by conducting complete genome sequencing of the AHP123 strain. Genome analysis identified a gene cluster shared among various Acinetobacter species, potentially responsible for catechol siderophore biosynthesis with an amine core. AHP123 produced three novel biscatechol siderophores: propanochelin, butanochelin, and pentanochelin. The complete genome, comprising a single circular contig spanning 4,201,020bp, also revealed the presence of antibiotic resistance genes, highlighting the potential risk of cross-species transmission and infection in rhizosphere microbes, livestock, and humans.
Effect of Liquid to Solid Ratio on the Aqueous Carbonation of Steel Slag CO2 Sequestration
Husna Inna,Hye Ok Park,Ji Yeon Choi,Yohan Park,Keunho Du,Won Shik Shin 한국폐기물자원순환학회 2015 한국폐기물자원순환학회 학술대회 Vol.2015 No.11
Steel slag has been used as the alternative binder to replace Portland cement that furthermore used as in construction and/or for stabilization/solidification of heavy metals in mine soil. One of the treatments to modify the leaching behavior of the mine soil is by carbonation. The purpose of this study was to assess the potential of carbonation in various steel slags. Based on chemical and mineralogical characterization of four kinds of slag that were used in this study, it showed that all slags had high potential for reacting with CO2 that was in accordance with the high CaO and MgO content. CO2 sequestration by aqueous carbonation of several kinds of stainless steel slags with different liquid to solid ratio was investigated in this study. The effect of chemical properties and reaction time on the performance of the carbonation process was also investigated. Converter slag, blast furnace slag (BFS) and ladle furnace slag (LFS) were used. Carbonation experiment was conducted in a closed reactor under the conditions; 1bar, 400rpm and 25℃, with solid to liquid ratios of 0.4, 0.6 and 1.0. Carbonation kinetic test was relatively fast and completed within 5 hours. The CO2 consumption increased when the liquid to solid ratio increased because of the dilution effect. Our results showed that the higher CaO and MgO contents in the slag, the higher CO2 consumption was observed. Pohang converter slag and Dangjin LFS showed slightly different tendency. At L/S ratio 0.4, Pohang slag with higher CaO and MgO content had higher CO2 consumption than Dangjin LFS. As the water content increased, Dangjin LFS had higher CO2 consumption than Pohang converter slag that was caused by the texture of Dangjin LFS with smaller particle size than Pohang converter slag. However, both Pohang BFS and Dangjin BFS have poor capacity in CO2 sequestration.
A Clustering Approach for Feature Selection in Microarray Data Classification Using Random Forest
( Husna Aydadenta ),( Adiwijaya ) 한국정보처리학회 2018 Journal of information processing systems Vol.14 No.5
Microarray data plays an essential role in diagnosing and detecting cancer. Microarray analysis allows the examination of levels of gene expression in specific cell samples, where thousands of genes can be analyzed simultaneously. However, microarray data have very little sample data and high data dimensionality. Therefore, to classify microarray data, a dimensional reduction process is required. Dimensional reduction can eliminate redundancy of data; thus, features used in classification are features that only have a high correlation with their class. There are two types of dimensional reduction, namely feature selection and feature extraction. In this paper, we used k-means algorithm as the clustering approach for feature selection. The proposed approach can be used to categorize features that have the same characteristics in one cluster, so that redundancy in microarray data is removed. The result of clustering is ranked using the Relief algorithm such that the best scoring element for each cluster is obtained. All best elements of each cluster are selected and used as features in the classification process. Next, the Random Forest algorithm is used. Based on the simulation, the accuracy of the proposed approach for each dataset, namely Colon, Lung Cancer, and Prostate Tumor, achieved 85.87%, 98.9%, and 89% accuracy, respectively. The accuracy of the proposed approach is therefore higher than the approach using Random Forest without clustering.
( Husna Inna ),( Hye Ok Park ),( Ji Yeon Choi ),( Yohan Park ),( Keunho Du ),( Won Shik Shin ) 한국폐기물자원순환학회(구 한국폐기물학회) 2015 한국폐기물자원순환학회 추계학술발표논문집 Vol.2015 No.-
Steel slag has been used as the alternative binder to replace Portland cement that furthermore used as in construction and/or for stabilization/solidification of heavy metals in mine soil. One of the treatments to modify the leaching behavior of the mine soil is by carbonation. The purpose of this study was to assess the potential of carbonation in various steel slags. Based on chemical and mineralogical characterization of four kinds of slag that were used in this study, it showed that all slags had high potential for reacting with CO<sub>2</sub> that was in accordance with the high CaO and MgO content. CO<sub>2</sub> sequestration by aqueous carbonation of several kinds of stainless steel slags with different liquid to solid ratio was investigated in this study. The effect of chemical properties and reaction time on the performance of the carbonation process was also investigated. Converter slag, blast furnace slag (BFS) and ladle furnace slag (LFS) were used. Carbonation experiment was conducted in a closed reactor under the conditions; 1bar, 400rpm and 25℃, with solid to liquid ratios of 0.4, 0.6 and 1.0. Carbonation kinetic test was relatively fast and completed within 5 hours. The CO<sub>2</sub> consumption increased when the liquid to solid ratio increased because of the dilution effect. Our results showed that the higher CaO and MgO contents in the slag, the higher CO<sub>2</sub> consumption was observed. Pohang converter slag and Dangjin LFS showed slightly different tendency. At L/S ratio 0.4, Pohang slag with higher CaO and MgO content had higher CO<sub>2</sub> consumption than Dangjin LFS. As the water content increased, Dangjin LFS had higher CO<sub>2</sub> consumption than Pohang converter slag that was caused by the texture of Dangjin LFS with smaller particle size than Pohang converter slag. However, both Pohang BFS and Dangjin BFS have poor capacity in CO<sub>2</sub> sequestration. Acknowledgement: This subject is supported by Korea Ministry of Environment (MOE) as GAIA (Geo-Advanced Innovative Action) Project.
Methane Emission in Rice Paddy Under Different Fertilization Management: A Critical Review
( Pia Husna Israt ),백누리 ( Nuri Baek ),박현진 ( Hyun-jin Park ),최우정 ( Woo-jung Choi ) 한국농공학회 2022 한국농공학회 학술대회초록집 Vol.2022 No.-
Paddy rice fields are the most important sources of methane (CH<sub>4</sub>), and thus many studies investigated the effects of fertilization managements on CH<sub>4</sub> emission as well as rice yield. In this review, to suggest best fertilization management practices, we have collected area-scaled and yield-scaled CH<sub>4</sub> emission data from literature to investigate the effects of 1) fertilization regimes (chemical fertilizers and organic inputs), 2) fertilizer (urea, controlled-release urea, and ammonium sulfate) and organic inputs (composts of different source materials), and 3) the application rates of urea, which is most widely used chemical fertilizer, on CH<sub>4</sub> emission. Changes of % CH<sub>4</sub> emission in treatments (CH<sub>4</sub> index) relative to the control without nutrient inputs were calculated, and the % change was normalized by dividing with N application rate to calculate CH<sub>4</sub> index per unit N. Area-scaled CH<sub>4</sub> index per unit N was greater when both chemical fertilizers and organic inputs were co-applied than when either chemical fertilizers or organic inputs were applied; whereas yield-scaled CH<sub>4</sub> index per unit N was greatest for organic inputs only. These results indicate that application of organic inputs either alone or with chemical fertilizers increases CH<sub>4</sub> emission over chemical fertilizers alone. Chemical fertilizer types further affected CH<sub>4</sub> emission, i.e., CH<sub>4</sub> index per unit N decreased in the order of urea > controlled-release urea > ammonium sulfate, which suggests that ammonium sulfate has a lower CH<sub>4</sub> emission potential due to the ability of SO<sub>4</sub> <sup>2-</sup> to accept electron and thus reduce CH<sub>4</sub> production potential. Both area- and yield-scaled CH<sub>4</sub> indexes increased with the application rate of urea, and this should be ascribed to improved rice biomass by fertilization translate into increased CH<sub>4</sub> emission. Organic input types also affected CH<sub>4</sub> index per unit N, and a greater index was found for organic inputs with a higher C/N, probably due to increased application rates of organic inputs to supply sufficient N required by rice plants. Our data analysis suggests that application of chemical fertilizers (in particular ammonium sulfate) or organic inputs with a low C/N is a feasible measure to reduce CH<sub>4</sub> emission.