In an aquatic environment, toxicity of metals to organisms depends on external factors (type of metal, exposure concentration and duration, environmental parameters, and water quality) and intracellular processes (metal-binding sites and detoxification). Toxicity of copper (Cu) on the marine microalga Tetraselmis suecica was investigated in this study. Dose-dependent (Cu concentration dependent) inhibition of growth and cell division, as well as, variation of intra- and extra-cellular Cu, Fe and Zn content was observed. T. suecica was sensitive to Cu; the 96 h EC50 (concentration to inhibit growth-rate by 50%) of growth rate (μ) (21.73 μM L-1), cell division day-1 (18.39 μM L-1), and cells mL-1 (13.25 μM L-1) demonstrate the toxicity of Cu on this microalga. High intra- (19.86 Pg cell-1) and extra-cellular (54.73 Pg cell-1) Cu concentrations were recorded, on exposure to 24.3 and 72.9 μM L-1 of Cu.

세계 제강산업의 연간 생산량은 약 1,600만 톤이며 이 중 약 40%가 폐철을 원료로 하는 전기제강로(Electric Arc Furnace)에서 생산된다. 이 전기로에서 발생하는 전기로 제강분진(Electric Arc Furnace Dust)은 카드뮴, 납 등의 유해중금속을 포함하고 있어 지정폐기물로 분류되어 고비용으로 처리하고 있다. 반면 철, 아연 등 재활용가능 금속 또한 30~60% 정도로 다량 함유하고 있어 재활용 공정에 대한 다양한 연구가 진행되어 왔다. EAFD는 원료의 특성 상 다양한 성상으로 존재하며, EAFD 내 원소의 광물학적 존재 형태에 따라 공정 변수가 달라진다. 따라서 최근은 EAFD 성상을 고려하여 아연과 철의 회수율을 높이는 다 단계 습식공정에 대한 연구가 활발히 진행 중이다. 본 연구에서는 전기로 제강분진 내 아연과 철의 분리 회수를 위한 다단계 공정 중 산 용출을 통해 아연을 회수한 후 남은 잔여물(residues)을 대상으로 자석을 이용하여 철 성분의 선택 분리 효과에 미치는 영향을 평가하였다. 아연 회수 후 잔여물의 철 함량을 높일 수 있다면 전기제강로로 재투입하여 제강원료로의 재사용이 가능하다. 자석분리 공정을 통하여 분리된 고체물질에는 고액비에 관계없이 85%의 철이 회수되는 것으로 나타났다. 이에 반해 칼슘은 고액비에 영향을 받았으며 고액비(kg/L)가 20일 때 약 85%의 칼슘이 분리되었다. 또한 자석분리공정은 황산칼슘 및 황산납의 분리에도 효과적임을 확인하였다. 이 공정을 통해 아연 회수 후 분진 잔여물의 철 순도를 높여 전기제강로로 재투입하여 아연 회수 뿐 아니라 분진 중 철의 재활용 또한 가능하게 할 것으로 보인다.

Zinc (Zn) deficiency is one of the important abiotic factors limiting rice productivity world-wide and also a widespread nutritional disorder affecting human health. Zinc is one of the most important essential micronutrient for human About thirty percentage world’s population doesn’t still get enough zinc through their diets. As a staple food of over half world’s population, rice should take the responsibility to provide much more zinc in the future. We analyzed the transcriptome profiles for rice grain from high zinc content and low zinc content lines at the early milky stage using the Illumina Sequencing method. The analysis results for the sequencing data indicated that many transcripts showed different expressions between high zinc content and low zinc content in early milky stage of rice and RT-qPCR analyses confirmed the expression patterns of selected transcripts. Functional analysis of the differentially expressed transcripts indicated that genes have functional annotation and their functions are mainly involved in oxidation-reduction, metabolic, transport , transcript regulation, defense response and photosynthetic processes. Based on the functional annotation of the differentially expressed genes, the possible process that regulates these differentially expressed transcripts in rice grain responding to Zinc at the early milky stage was further analyzed. The functional classification of those genes indicated their connection with various metabolic pathways, Zinc transport, signal transduction, transcriptional regulation, and other processes related to growth and development in early milky stage of rice. Using Illumina sequencing technology, the differences between the transcriptomes of high zinc content and low zinc content lines the early milky stage was described here for the first time. The candidate transcripts may provide genetic resources that may be useful in the improvement of Zinc concentration of rice. The model proposed here is based on differences in expression and transcription between two rice lines. In addition, the model may support future studies on the molecular mechanisms underlying plant responses to Zinc.

The germplasm of 246 rice cultivars was analysed 　for iron and zinc contents using a Inductively Coupled Argon Plasma (ICP) at International Rice Research Institute (IRRI) Philippines. Iron contents ranged from 2.0 to 12.0, and zinc ranged from 10.0 to 33.0 (mg/kg), showing with the mean values of 4.3 and 22.8 (mg/kg), respectively. In genotypes tested, there was approximately a two-fold difference in iron and zinc concentrations, suggesting a genetic potential to increase these micronutrients in rice grain. A highly significant positive correlation (r2=0.503) was found between iron and zinc contents. Iron contents decreased drastically as polishing time increased, whereas zinc decreased only slightly. In the interaction between genotype and environment on iron contents, genotype (G), environment (E), and the G × E interactions accounted for 69%, 5% and 26% of the sums of squares, respectively. Indicating that genotype is would be the most significant factor for the to improve iron contents of rice in rice breeding, suggesting that therefore identifying genotypes with relatively stable performance across various environments is important as staple food crops.