A novel method of preconcentration of trace arsenite and arsenate by using titanium dioxide nanoparticles as adsorbent was described. The concentrations of preconcentrated arsenite and arsenate were determined by a silver diethyldithiocarbamate spectrophotometric method without desorption. Batch adsorption experiments were carried out as a function of the pH, contact time, amount of titanium dioxide nanoparticles, and solution volume. In the pH range 5 to 6, adsorption rates of arsenite and arsenate were higher than 98%. The calibration coefficient was 0.9991, and the linear range was 0 to 100 microg/L. The developed method was precise, with the relative standard deviation <5% at concentration level of 10 microg/L, with a detection limit (3sigma, n=6) of 0.44 microg/L. The accuracy of the method for total arsenic was validated by standard reference materials (SRM 3103a) (National Institute of Standards and Technology, Gaithersburg, Maryland). The method was also applied to the analysis of arsenite and arsenate in natural water samples to verify the accuracy. The recovery values remained in a narrow range, from 95 to 103%. 相似文献
The cover image is based on the Original Article Noninvasive prenatal paternity testing by means of SNP-based targeted sequencing by Jacqueline Chor Wing Tam et al., https://doi.org/10.1002/pd.5595 .
通过Miseq高通量测序分析和荧光定量PCR技术,研究某纳污河流中四环素类与磺胺类抗性基因(ARGs)的分布特征、传播情况及微生物群落结构相关性.结果表明:在河流地表水与沉积物中均检测到四环素类抗性基因tetA和tetB与磺胺类抗性基因sul1和sul2,四环素类抗性基因和磺胺类抗性基因的绝对丰度分别为5.09×103~1.26×107,3.94×105~1.32×109copics/L,磺胺sul1抗生素抗性基因丰度显著高于其它基因;河流主要优势菌门为Proteobacteria,Bacteroidetes,Firmicutes,Actinobacteria和Cyanobacteria,其平均总相对丰度占总比例的95.62%,且总体差异较小.抗性基因与微生物群落冗余分析显示,Methylotenera菌属是影响tetA抗性基因分布丰度的主要因素,Dechloromonas和Clostridium sensu stricto 1菌属是影响tetB抗性基因分布丰度的主要因素,Dechloromonas、Clostridium sensu stricto 1和Methylotenera菌属是影响sul1、sul2抗性基因分布丰度的主要因素. 相似文献
We observed skewed distribution across household of benefits of pesticide use in vegetable farming in Nepal. However, economic burden or harm of pesticide use and exposure by household economy is poorly studied. It is hypothesized that exaggerated and incompetent pesticide use is likely to affect human health that may lead to decline in human productivity, and economic loss––that may further marginalize farmers. Thus, a study was conducted in the Ansi khola watershed of Kavrepalanchowk District of central Nepal. The primary aim of the study was to value risks of pesticide use and to estimate health costs of exposure by household category. We grouped household into “large-scale” who owns more than 1 ha of agricultural land, “small-scale” having <0.5 ha and “medium-scale” in between >0.5 and <1 ha. Data were collected through (1) an initial household survey conducted from May to June 2008, (2) monthly visit surveys accomplished from June to November 2008 and (3) a final household survey conducted during November to December 2009. The cost of pesticide use and exposure was highest for medium-scale household; however, the economic burden in relation to incomes was the highest for small-scale household. On the basis of area under vegetables, small-scale household incurred 23 % higher economic burdens compared to the large-scale household. Overall, the cost of pesticide use and exposure amounted 15 % of agricultural income and/or 5 % of gross household income. For small-scale households, the cost was equivalent to 18 % of agricultural income and 6 % of gross income. Small-scale households are not only deprived from benefits of agriculture intensification, but also incurred highest burden of pesticide use. 相似文献