Importance of Noncrystalline Hydroxide Phases in Sequential Extractions to Fractionate Antimony in Acid Soils

Abstract

Sequential extraction techniques have been used to make inferences about speciation of phosphorus (P) and to a lesser extent arsenic (As) in soils. However, sequential extraction studies on the less‐abundant group V element, antimony (Sb), are limited. In this work, a widely used P sequential extraction scheme was modified and used to extract P, As, and Sb from two acidic soils from the Macleay River floodplain, NSW, that were enriched with Sb (26.9 and 23.0 mg kg^?1). An ammonium oxalate–oxalic acid step was included in the extraction sequence to dissolve the noncrystalline iron (Fe) and aluminium (Al) hydroxide phase. It extracted 30 to 47% of Sb, indicating the importance of this fraction, which may be mobilized in the floodplain by acid sulfate soil processes and periodic waterlogging. The original method overestimated P, As, and Sb in the residual fraction (30–71%). Relative efficiency values of extracts for P, As, and Sb were compared, and inferences about phase distributions were made. The results suggest some potential in using extractions to assess bioavailability of Sb in soil.     

Genomic Prediction of Arsenic Tolerance and Grain Yield in Rice: Contribution of Trait-Specific Markers and Multi-Environment Models

Many rice-growing areas are affected by high concentrations of arsenic(As). Rice varieties that prevent As uptake and/or accumulation can mitigate As threats to human health. Genomic selection is known to facilitate rapid selection of superior genotypes for complex traits. We explored the predictive ability(PA) of genomic prediction with single-environment models, accounting or not for trait-specific markers, multi-environment models, and multi-trait and multi-environment models, using the genotypic(1600 K SNPs) and phenotypic(grain As content, grain yield and days to flowering) data of the Bengal and Assam Aus Panel. Under the base-line single-environment model, PA of up to 0.707 and 0.654 was obtained for grain yield and grain As content, respectively; the three prediction methods(Bayesian Lasso, genomic best linear unbiased prediction and reproducing kernel Hilbert spaces) were considered to perform similarly, and marker selection based on linkage disequilibrium allowed to reduce the number of SNP to 17 K, without negative effect on PA of genomic predictions. Single-environment models giving distinct weight to trait-specific markers in the genomic relationship matrix outperformed the base-line models up to 32%. Multi-environment models, accounting for genotype × environment interactions, and multi-trait and multi-environment models outperformed the base-line models by up to 47% and 61%, respectively. Among the multi-trait and multi-environment models, the Bayesian multi-output regressor stacking function obtained the highest predictive ability(0.831 for grain As) with much higher efficiency for computing time. These findings pave the way for breeding for As-tolerance in the progenies of biparental crosses involving members of the Bengal and Assam Aus Panel. Genomic prediction can also be applied to breeding for other complex traits under multiple environments.     

铁氧化物-硅酸盐复合物的形成、性质及其对砷的固定

铁氧化物与硅酸盐矿物是土壤中最重要、最活跃的固相组分,它们之间的交互作用直接影响土壤物理化学特性,可有效地调控土壤(类)重金属的迁移、转化。本文以铁氧化物和硅酸盐矿物胶结过程中的一些表观特征变化为出发点,从宏观、表观到微观综述了二者交互作用的界面特性和机理、交互作用前后对土壤砷的固定与释放机制等内容。本文阐明层状硅酸盐与铁氧化物通过多种化学作用而发生表面复合,其中静电作用是作用力之一,带负电荷的硅酸盐与带正电荷的铁氧化物在静电引力的作用下迅速结合,在胶体表面双电层上形成二元团聚体;形成的二元团聚体可改变土壤矿物的表面积和孔性结构、表面电化学特性和物理性质。同时,铁氧化物-硅酸盐复合物表面的活性基团可以通过内层络合共氧的方式将土壤中AsO_4~(2-)络合,形成单核或双核表面络合物而固定砷。复合物对AsO_4~(2-)的吸附能力介于铁氧化物和硅酸盐矿物之间,并更接近铁氧化物的表面吸附特性。本文旨在为土壤砷的原位固定提供理论支撑。     

人工湿地砷污染去除研究进展

砷在环境中普遍存在,因其高毒性,世界卫生组织将砷污染列为重大公共卫生问题。因此,科学家们在不断寻求科学有效的砷污染去除方法。人工湿地砷污染去除系统自上世纪七十年代推出以来,因其环境友好、成本低廉的特性得到蓬勃发展,快速成为绿色环保修复技术之一。人工湿地被认为是理想的砷富集去除场所,其对砷污染的去除方式主要通过植物和微生物相互作用及腐殖酸强化修复来实现。本文通过砷污染治理历史及技术发展、人工湿地的兴起及砷在湿地生态系统中的赋存状态以及人工湿地生态系统砷污染去除三个方面综述了人工湿地砷污染去除的研究进展。通过大量文献综述分析,我们认为在人工湿地砷污染去除的后续研究工作中,应着重研究砷在湿地生态系统中的扩散迁移及演变规律,构建湿地生态系统沉水-浮水-挺水植物立体结构,并不断探索植物-微生物及腐殖酸强化修复对砷污染的协同阻滞及界面作用。     

砷胁迫下磷用量对不同磷效率水稻苗生长、磷和砷吸收的影响

 通过盆栽试验研究了苗期砷胁迫下磷用量对磷高效水稻99011和磷低效水稻99056生长以及对P、As吸收的影响。试验设3个磷水平（0、30、150 mg/kg）和5个砷水平（0、25、50、100、200 mg/kg）。结果表明,苗期施砷显著增加了两个水稻品种地上部及地下部砷的含量,降低了两个水稻品种的株高、分蘖数、地上部及地下部干质量;施磷不但促进了两个水稻品种的生长,而且还增加了根系对砷的吸收量。当土壤砷浓度为25 mg/kg和50 mg/kg时,施用30 mg/kg磷抑制了两个水稻品种砷向地上部的转移,但施用150 mg/kg磷却促进了砷向地上部的转移。相同的处理,磷高效水稻99011地上部干质量和根干质量均显著高于磷低效水稻99056。施砷后,在30 mg/kg磷水平上磷低效水稻99056的砷转移系数最低。     

湄洲湾水域海水、沉积物中砷及重金属的含量分析

根据湄洲湾20个点位4批次水样,1次沉积物样,用原子荧光、原子吸收和多功能极谱仪测定海水和沉积物中砷及重金属的含量。采用单因子污染指数法和内梅罗综合污染指数法对湄洲湾水域海水和沉积物中的砷及重金属进行综合评价。结果表明,湄洲湾水域海水中的砷及重金属单因子污染指数Pi〈1,均符合第二类海水水质标准,内梅罗指数I〈1,总体...     

铁改性生物炭促进土壤砷形态转化抑制植物砷吸收

通过盆栽试验研究了不同砷污染水平(10、20、40和80 mg/kg)下,添加不同量(10、20和40 g/kg)改性前后的生物炭对土壤砷形态及植物吸收砷规律的影响。该文以棉花秸秆生物炭及改性生物炭(棉花秸秆生物炭与Fe Cl3?6H2O按质量比为20∶1)为试材,小白菜为供试植物。结果表明:生物炭(10~40 g/kg)和改性生物炭(10 g/kg)能促进小白菜的生长,在添加量分别为20和10 g/kg时生物量最大,其最大值分别为8.26和6.68 g/盆,改性生物炭在添加量为10 g/kg时高于对照组和等量未改性生物炭处理组。在砷质量分数为10和20 mg/kg的基础上,添加生物炭(10~40 g/kg)后,土壤中砷主要以残渣态形式存在;水溶态砷分别增加了0.22%~3.36%和0.96%~3.70%;改性生物炭添加对土壤砷质量分数为10 mg/kg时水溶态砷无明显影响,土壤砷质量分数为20 mg/kg时,添加改性生物炭(10~40 g/kg)后水溶态砷减少了0.12%~0.58%。在高浓度(40和80 mg/kg)砷土壤中,水溶态砷含量随着土壤中砷含量的增加而增大;添加生物炭(10~40 g/kg)后,土壤中水溶态砷分别增加了0.21%~1.56%和2.11%~8.94%,但砷主要以铝形砷形式存在,残渣态砷次之。各处理组小白菜可食部分和根部砷质量分数在添加10~40 g/kg生物炭后的变化规律不尽相同,等量的改性生物炭添加后,可食部分由18.28 mg/kg显著降低至2.66 mg/kg(P0.05),根部从133.99 mg/kg显著降低至20.21 mg/kg(P0.05)。改性生物炭与未改性生物炭相比,改性生物炭能降低土壤中水溶态砷的含量及对小白菜吸收砷有显著的抑制作用。因此,该研究可为改性生物炭在含砷土壤的修复应用中提供数据支撑与理论基础。     

铅锌尾矿中砷代谢功能基因的多样性

Microbial activities impact arsenic (As) transformation in mine tailings substantially,yet little is understood on the functional diversity of As metabolism genes.This study explored this issue using a metagenomic approach coupled by a local BLASTN procedure established in our recent studies.An assembled metagenome,recovered from hypersaline and sulfidic mine tailings,was screened for As metabolism genes aioA,arrA,arsC and arsM.This was done using a local BLASTN procedure against databases of the As metabolism genes built in this study.Putative As metabolism genes detected in the assembled metagenome included 11 arsM,20 arsC and 1 arrA full-length sequences.Together with the rRNA-based phylogenetic profiling results,a picture depicting microbial As cycling in the tailings to the genus level was obtained.It was found that most of the dominant genera in the tailings potentially harboured the genes for As reduction and/or methylation.In particular,a typical pyrite-eater present in the tailings,Thioalkalivibrio sp.,was found to harbour not only arsC and arsM,but also arrA.These results highlight the unexpected diversity of As metabolism genes in the tailings,especially considering the extremely low species diversity therein.The microbial As cycling picture established here has potential use for guiding the purposeful manipulation of As biogeochemistry in the tailings.     

土壤总砷测定前处理方法探讨

采用加标回收方法比较研究了5种土壤总砷测定的前处理方法(分别为浓HNO3-浓H2SO4-HC1O4法、王水法、浓HNO3-浓H2SO4-V2O5法、浓HNO3-浓H2SO4-V2O5Ⅰ法和浓HNO3-浓H2SO4-V2O5Ⅱ法),结果表明,5种前处理方法的加标回收率在89.9%～102%之间,变异系数在0.56%～5.27%之间。其中,浓HNO3-浓H2SO4-V2O5Ⅰ法处理,土壤所用消解时间40min左右,其回收率较高,在98.5%～99.1%之间,变异系数较小,在0.56%～0.85%之间;该前处理方法具有消解时间最短、加标回收率和精密度高及重现性最好的特点,优于其他4种前处理方法,可作为推荐方法应用。     

河北沧州果品主产区土壤砷空间变异性研究

采用GIS技术和地统计学相结合的方法对河北沧州果品主产区献县、泊头、沧县3个县表层土壤(0～20 cm)砷的空间分异特征进行了分析。结果表明:3个县表层土壤砷的平均值为12.46 mg kg-1,砷污染存在的风险较低。土壤砷最优理论模型为指数模型,空间结构上具有中等程度空间相关性,说明其空间变异主要是由母质、地形、土壤类型等结构性因素引起的。各向异性分析表明地质背景、河流和飘尘可能影响着土壤砷的分布。Kriging插图结果直观的反映出研究区内土壤砷的空间变异特征。调查结果显示含砷污水的农田灌溉,含砷煤燃烧产生的大气降尘,含砷农药、化肥的使用等是影响土壤砷分布的人为因素。