纤维膜三相液相微萃取在测定偶氮染料降解产生芳香胺中的应用

采用纤维膜保护的三相液相微萃取（HF-LLLME）技术,对偶氮染料在人工汗液和光辐照协同作用下降解产生致癌芳香胺的分析方法进行了研究.选用苯胺、邻甲苯胺、对氯苯胺和对硝基苯胺的汗液混合溶液进行模拟样品预处理,以正辛醇为有机萃取相,在供体相pH值为9,NaC l浓度为200.gL-1,接收相为pH=1的盐酸水溶液,萃取时...     

液相色谱-质谱联用法快速测定腌桂花中6种生物胺

建立了腌桂花中腐胺、尸胺、组胺、苯乙胺、酪胺、色胺等6种生物胺含量的液相色谱-质谱联用(LC-MS/MS)检测方法.样品用乙腈水溶液(8∶2,V/V)提取,经过Carb柱净化后采用LC-MS/MS进行分析.选择Thermo Syncronis HILIC(100 mm×2.1 mm,1.7μm)作为分析柱,乙腈和水溶液(10 mmol·L-1甲酸铵和0.1%甲酸)作为流动相进行梯度洗脱.结果显示,腐胺的线性范围为10—250 ng·m L-1,其余5种生物胺的线性范围为5.0—250 ng·m L-1,相关系数(r2)均大于0.99.6种生物胺的检出限(LODs)范围为20—40μg·kg-1,定量(LOQs)范围为50—100μg·kg-1.在200、500、800μg·kg-1的3个添加水平下,6种生物胺的回收率范围为74.5%—121.5%,相对标准偏差(RSDs)范围为3.0%—8.2%.此方法灵敏度高且前处理简单,能满足腌桂花中生物胺的检测要求.     

基质固相分散-加压溶剂萃取法测定土壤中多环芳烃

建立基质固相分散(MSPD)辅助加压溶剂萃取(PLE)-高效液相色谱法测定土壤中16种多环芳烃的方法.土壤样品与弗罗里硅土混匀后装入萃取池,在15 MPa、120℃萃取条件下,丙酮∶二氯甲烷(1∶1,V∶V)作为萃取溶剂,静态提取5min,应用高效液相色谱法荧光检测-二极管阵列检测串联,采用外标法对其进行定量分析.结果表明:16种多环芳烃线性关系良好,相关系数均大于0.9994,利用荧光检测器与二极管阵列检测器的方法检出限分别为0.04—0.8μg·L-1、0.6—20μg·L-1,在低、中、高3个水平下的加标回收率在78.4%—105.8%范围内,测定结果的相对标准偏差为1.2%—4.1%(n=5).     

加速溶剂萃取(ASE)-固相萃取(SPE)-高效液相色谱法(HPLC)测定土壤中青霉素钠

建立了一种加速溶剂萃取(ASE)-固相萃取(SPE)-高效液相色谱(HPLC)测定土壤中青霉素钠的简单、快速的方法.样品以超纯水为提取溶剂,50℃提取温度为ASE提取条件参数;HLB型固相萃取柱富集净化:6.0mL 5%甲醇淋洗、4.0mL乙腈-甲醇(1∶1)洗脱;高效液相色谱-紫外检测器(HPLC-PDA)测定,检测波长λ=191.1nm,柱温30℃,流动相为乙腈-0.1%甲酸/水(1∶1),采用等梯度洗脱程序,取得较好的检测分离效果.对0.5、2.0、8.0mg·kg-1等3个不同添加浓度水平的青霉素钠平均加标回收率范围为73.1%—89.7%,回收率相对标准偏差RSD范围为1.1%—2.9%(n=5),检出限可达235.0μg·L-1.结果表明,该方法操作简单,快速,准确度和精密度均符合质量控制要求,能够满足环境土壤样本中痕量青霉素钠检测分析的要求.     

中空纤维膜辅助离子液体液相微萃取-高效液相色谱法测定环境水体中的水杨酸

分别以l-辛基-3-甲基咪唑六氟磷酸离子液体([C8MIM][PF6])和三辛基氧化膦(TOPO)作为萃取剂与辅助萃取剂,建立了中空纤维膜辅助的两相液液微萃取-高效液相色谱测定环境水体中水杨酸(Salicylicacid,SA)的新方法.通过对中空纤维膜种类、萃取剂、供体相体积、供体相pH、离子强度和萃取时间相关参数进行优化,获得了较高的富集倍数(1653倍).方法的检出限为0.1μg.L-1,线性范围为0.5—1000μg.L-1.方法对实际样品的加标回收率为89.6%—102.4%,可应用于环境水体中痕量SA的测定.     

SPE-RRLC-MS/MS测定河水和沉积物中14种典型抗生素

针对磺胺类、喹诺酮类、四环素类、大环内酯类共14种典型抗生素,建立了水和沉积物中固相萃取-高分离快速液相色谱-串联质谱(SPE-RRLC-MS/MS)前处理方法和仪器检测方法.14种抗生素在5—100μg·L~(-1)范围内线性良好,相关系数r≥0.990.优化后的前处理方法采用乙腈/0.1 mol·L~(-1) EDTA-Mcllvaine(1∶1,V/V)作为沉积物样品中目标抗生素的提取剂,甲醇/丙酮(85∶15,V/V)作为固相萃取柱的洗脱液.表层水中14种抗生素的加标回收率为56%—117%,相对标准偏差(n=3)为0.10%—12%;沉积物中14种抗生素的加标回收率为57%—127%,相对标准偏差(n=3)为0.10%—25%.表层水和沉积物中抗生素的方法检出限分别为0.18—5.88 ng·L~(-1)和0.25—2.94 ng·g~(-1).该方法用于检测合肥市南淝河表层水和沉积物中的抗生素,5种抗生素被检出,浓度范围分别为32—308 ng·L~(-1)和2.70—329 ng·g~(-1).     

在线固相萃取-高效液相色谱法测定水中的苯脲化合物

通过在线固相萃取-高效液相色谱法快速、准确测定了EPA532方法规定的水中9种痕量苯脲化合物类杀虫剂.通过双梯度高效液相色谱系统中的上样泵,采用大体积自动进样方式,将2.5 mL水样中的被测物富集在萃取柱上;而后通过阀切换将萃取柱切换至分析流路中,进行分离、测定.上样泵的流动相为纯水和甲醇,分析泵的流动相为20 mmol·L-1甲酸铵水溶液和乙腈,流速分别为1.0 mL·min-1和0.6 mL·min-1,检测波长为245 nm,整个分析时间为20 min.方法在0.5—100μg·L-1范围线性关系良好,9种杀虫剂的线性相关系数R2≥0.9927,检出限≤0.093μg·L-1,7次平行测定保留时间RSD≤0.08%,峰面积RSD≤2.57%.该方法前处理简单,快速,重现性好,可用于环境水体和饮用水中痕量杀虫剂、除草剂等污染物的测定.     

固相萃取-液相色谱/荧光检测法同时测定水中8种烷基酚和烷基酚聚氧乙烯醚

本文通过优化色谱条件、前处理条件、样品保存条件等,建立了水中8种烷基酚(APs)和烷基酚聚氧乙烯醚(APEOs)的固相萃取(SPE)—高效液相色谱/荧光检测(HPLC-FLD)分析方法.水样经酸化(p H 2.0—3.0)后加入甲醇至20%体积分数,并以10 m L·min~(-1)速度通过HLB固相萃取小柱进行浓缩和净化,收集SPE洗脱液进行HPLC-FLD检测分析.采用Waters PAH C18色谱柱(4.6×250 mm,5.0μm),以乙腈和5 mmol·L-1醋酸铵溶液进行梯度洗脱,流速为1.0 m L·min~(-1),荧光检测的激发和发射波长分别为228 nm和300 nm.结果表明,8种组分的线性关系良好(R0.998),方法检出限为0.2—0.5μg·L-1.在低、中、高加标水平下,8种组分的回收率分别为82.5%—119.4%、92.1%—118.0%、89.7%—103.9%,平均相对标准偏差分别为5.3%、5.4%、2.9%.该方法灵敏度高、操作简单、易于推广应用,适用于水中多种APs与APEOs的同时分析.     

固相萃取-液相色谱法测定食品废水中8种色素残留

建立了食品工业废水中8种合成色素残留的固相萃取-液相色谱测定方法.水样经固相萃取柱富集,氮吹浓缩定容后直接进样.采用C18色谱柱分离,以甲醇-乙酸铵(0.01mol·L^-1)溶液为流动相,进行梯度洗脱,最后利用二极管阵列检测器(DAD)进行可变波长分析,外标法定量.结果表明,8种合成色素在1.0—50mg·L^-1的浓度范围内线性良好,相关系数均大于0.999,定量限为1.6—2.4μg·L^-1.以实际废水样品为加标对象,分别考察了低、中、高三个浓度水平的加标回收率和精密度,平均加标回收率在82.3%—95.9%之间,精密度均小于5.45%.该方法准确可靠,灵敏度高,可用于食品工业废水中痕量色素残留的测定.     

离子液体双水相萃取-HPLC-MS/MS法测定环境水样中痕量3种酞酸脂类污染物

研究了离子液体双水相萃取分离环境水样中3种酞酸酯类污染物分析方法的可行性,考察了影响离子液体双水相萃取率的主要因素,在最优实验条件下:p H=4,Na H2PO4浓度为0.5 mol·L-1,离子液体加入量为2 m L,萃取时间为6 min,萃取分离了自来水、湖水和工业废水中3种酞酸酯类污染物,液相色谱-串联质谱法测定,回收率为94%—104.2%,相对标准偏差为1.7%—5.3%.方法检出限达0.7—0.99 ng.     

Rapid,recurring, structured survey versus bioblitz for generating biodiversity data and analysis with a multispecies abundance model

A bioblitz inexpensively and quickly generates biodiversity data, but bioblitzes are often conducted with haphazard, unreplicated sampling. Results tend to be taxonomically, geographically, or temporally biased, lack metadata, and consist of lists of observed taxa that do not enable further analyses or correction for imperfect detection. A rapid, recurring, structured survey (RRSS) uses a structured sampling design and temporal and spatial replication to survey randomly selected sites on a conservation property. We participated in a loosely structured bioblitz and a subsequent RRSS at Big Canoe Creek Nature Preserve in Springville (St. Clair County), Alabama (USA) to compare observed richness derived from the 2 survey approaches. The RRSS data structure enabled us to fit models that accounted for imperfect detection to estimate abundances, occupancy probabilities, and habitat associations. The loosely structured bioblitz data could not be used in such models. We present a new integrated multispecies abundance model that we applied to avian RRSS data. Our model extension enables estimation for the community, employs data augmentation to estimate the number of undetected species, and incorporates covariates. The RRSS generated a more comprehensive and less biased list of observed taxonomic richness than the loosely structured bioblitz (e.g., 73 vs. 45 bird species and 104 vs. 63 insect families from the RRSS vs. loosely structured bioblitz, respectively). Models fit to the RRSS data identified seasonal patterns in avian community composition and allowed for estimation of habitat–occupancy relationships for insect taxa. The RRSS protocol has potential for broad transferability as a standardized, quick, and inexpensive way to inventory biodiversity and estimate ecological parameters while providing an outreach opportunity.     

Compliance with and ecosystem function of biodiversity offsets in North American and European freshwaters

Land-use change via human development is a major driver of biodiversity loss. To reduce these impacts, billions of dollars are spent on biodiversity offsets. However, studies evaluating offset project effectiveness that examine components such as the overall compliance and function of projects remain rare. We reviewed 577 offsetting projects in freshwater ecosystems that included the metrics project size, type of aquatic system (e.g., wetland and creek), offsetting measure (e.g., enhancement, restoration, and creation), and an assessment of the projects’ compliance and functional success. Project information was obtained from scientific and government databases and gray literature. Despite considerable investment in offsetting projects, crucial problems persisted. Although compliance and function were related to each other, a high level of compliance did not guarantee a high degree of function. However, large projects relative to area had better function than small projects. Function improved when projects targeted productivity or specific ecosystem features and when multiple complementary management targets were in place. Restorative measures were more likely to achieve targets than creating entirely new ecosystems. Altogether the relationships we found highlight specific ecological processes that may help improve offsetting outcomes.     

A palaeo-hydrogeological model for arsenic contamination in southern and south-east Asia

An argument is presented in which areas of natural arsenic contamination of modern groundwaters throughout Asia have a common origin. Arsenic originally accumulated in oceanic ferro-manganoan sediments of the eastern Palaeo-Tethys. This was further concentrated through oceanic crustal extinction in what later became the south-east Chinese accreted mineralised terrain. Proto-Himalayan uplift of this area created the palaeo-drainage systems of the Ganges – Brahmaputra, Irrawaddy, Mekong, and Red Rivers, with consequent headwater erosion of arsenic-rich sediments. Their downstream deposition as immature and easily redistributed Neogene sandstones, silts, and iron-rich clays has created secondary and tertiary reservoirs of adsorbed and authigenic arsenic, from which the current arsenic-rich groundwaters have evolved. Considering river basins within the above palaeo-hydrogeological framework provides a basis for assessing the risk of arsenic in groundwater basins of south and south-eastern Asia.     

Threats to intact tropical peatlands and opportunities for their conservation

Large, intact areas of tropical peatland are highly threatened at a global scale by the expansion of commercial agriculture and other forms of economic development. Conserving peatlands on a landscape scale, with their hydrology intact, is of international conservation importance to preserve their distinctive biodiversity and ecosystem services and maintain their resilience to future environmental change. We explored threats to and opportunities for conserving remaining intact tropical peatlands; thus, we excluded peatlands of Indonesia and Malaysia, where extensive deforestation, drainage, and conversion to plantations means conservation in this region can protect only small fragments of the original ecosystem. We focused on a case study, the Pastaza‐Marañón Foreland Basin (PMFB) in Peru, which is among the largest known intact tropical peatland landscapes in the world and is representative of peatland vulnerability. Maintenance of the hydrological conditions critical for carbon storage and ecosystem function of peatlands is, in the PMFB, primarily threatened by expansion of commercial agriculture linked to new transport infrastructure that is facilitating access to remote areas. There remain opportunities in the PMFB and elsewhere to develop alternative, more sustainable land‐use practices. Although some of the peatlands in the PMFB fall within existing legally protected areas, this protection does not include the most carbon‐dense (domed pole forest) areas. New carbon‐based conservation instruments (e.g., REDD+, Green Climate Fund), developing markets for sustainable peatland products, transferring land title to local communities, and expanding protected areas offer pathways to increased protection for intact tropical peatlands in Amazonia and elsewhere, such as those in New Guinea and Central Africa which remain, for the moment, broadly beyond the frontier of commercial development.     

Cost‐effective conservation of an endangered frog under uncertainty

How should managers choose among conservation options when resources are scarce and there is uncertainty regarding the effectiveness of actions? Well‐developed tools exist for prioritizing areas for one‐time and binary actions (e.g., protect vs. not protect), but methods for prioritizing incremental or ongoing actions (such as habitat creation and maintenance) remain uncommon. We devised an approach that combines metapopulation viability and cost‐effectiveness analyses to select among alternative conservation actions while accounting for uncertainty. In our study, cost‐effectiveness is the ratio between the benefit of an action and its economic cost, where benefit is the change in metapopulation viability. We applied the approach to the case of the endangered growling grass frog (Litoria raniformis), which is threatened by urban development. We extended a Bayesian model to predict metapopulation viability under 9 urbanization and management scenarios and incorporated the full probability distribution of possible outcomes for each scenario into the cost‐effectiveness analysis. This allowed us to discern between cost‐effective alternatives that were robust to uncertainty and those with a relatively high risk of failure. We found a relatively high risk of extinction following urbanization if the only action was reservation of core habitat; habitat creation actions performed better than enhancement actions; and cost‐effectiveness ranking changed depending on the consideration of uncertainty. Our results suggest that creation and maintenance of wetlands dedicated to L. raniformis is the only cost‐effective action likely to result in a sufficiently low risk of extinction. To our knowledge we are the first study to use Bayesian metapopulation viability analysis to explicitly incorporate parametric and demographic uncertainty into a cost‐effective evaluation of conservation actions. The approach offers guidance to decision makers aiming to achieve cost‐effective conservation under uncertainty.     

Human Influence and Classical Biogeographic Predictors of Rare Species Occurrence

Biogeographic theory predicts that rare species occur more often in larger, less‐isolated habitat patches and suggests that patch size and connectivity are positive predictors of patch quality for conservation. However, in areas substantially modified by humans, rare species may be relegated to the most isolated patches. We used data from plant surveys of 81 meadow patches in the Georgia Basin of Canada and the United States to show that presence of threatened and endangered plants was positively predicted for patches that were isolated on small islands surrounded by ocean and for patches that were isolated by surrounding forest. Neither patch size nor connectivity were positive predictors of rare species occurrence. Thus, in our study area, human influence, presumably due to disturbance or introduction of competitive non‐native species, appears to have overwhelmed classical predictors of rare species distribution, such that greater patch isolation appeared to favor presence of rare species. We suggest conservation planners consider the potential advantages of protecting geographically isolated patches in human‐modified landscapes because such patches may represent the only habitats in which rare species are likely to persist. Influencia Humana y Predictores Biogeográficos Clásicos de la Ocurrencia de Especies Raras     

Seasonal dynamics of macro-algae in the South Lake of Tunis

The macro-algae communities observed in the south lake of Tunis are characterized by the predominance of nitrophilous algae which are in the order of biomass importance:Ulva, Cladophora andEnteromorpha. We have noted seasonal changes of alga distribution. The wind appears to be one of the most important factors influencing this distribution. The total biomass reaches a maximum in the spring. Rapid decomposition of the biomass leads to a severe ecological imbalance, resulting in crises of anoxia and fish death. A restoration project has already started. It aims at removal of contaminated muds and the introduction of a new circulation system. The main objectives of this work were to collect information on the distribution and biomass of the phytobenthic communities as a first step in the constitution of a database for further comparison.     

Patterns and biases of climate change threats in the IUCN Red List

International Union for Conservation of Nature (IUCN) Red List assessments rely on published data and expert inputs, and biases can be introduced where underlying definitions and concepts are ambiguous. Consideration of climate change threat is no exception, and recently numerous approaches to assessing the threat of climate change to species have been developed. We explored IUCN Red List assessments of amphibians and birds to determine whether species listed as threatened by climate change display distinct patterns in terms of habitat occupied and additional nonclimatic threats faced. We compared IUCN Red List data with a published data set of species’ biological and ecological traits believed to infer high vulnerability to climate change and determined whether distributions of climate change‐threatened species on the IUCN Red List concur with those of climate change‐threatened species identified with the trait‐based approach and whether species possessing these traits are more likely to have climate change listed as a threat on the IUCN Red List. Species in some ecosystems (e.g., grassland, shrubland) and subject to particular threats (e.g., invasive species) were more likely to have climate change as a listed threat. Geographical patterns of climate change‐threatened amphibians and birds on the IUCN Red List were incongruent with patterns of global species richness and patterns identified using trait‐based approaches. Certain traits were linked to increases or decreases in the likelihood of a species being threatened by climate change. Broad temperature tolerance of a species was consistently related to an increased likelihood of climate change threat, indicating counterintuitive relationships in IUCN assessments. To improve the robustness of species assessments of the vulnerability or extinction risk associated with climate change, we suggest IUCN adopt a more cohesive approach whereby specific traits highlighted by our results are considered in Red List assessments. To achieve this and to strengthen the climate change‐vulnerability assessments approach, it is necessary to identify and implement logical avenues for further research into traits that make species vulnerable to climate change (including population‐level threats).     

Parasitic wasps orient to green leaf volatiles

Summary Undamaged plants emit low levels of green leaf volatiles (GLVs), while caterpillar-damaged and artificially damaged plants emit relatively higher levels of certain GLVs. Female braconid parasitoids,Microplitis croceipes, oriented to both damaged plants and to individual GLVs in no-choice tests in a wind tunnel, but seldom oriented to undamaged plants. Female ichneumonid parasitoids,Netelia heroica, also oriented to individual GLVs in a wind tunnel. Males of both wasp species failed to orient to the GLVs. These data show that leaf-feeding caterpillars can cause the release of GLVs, and that parasitic wasps can respond to these odors by flying upwind (chemoanemotactic response), which brings the wasps to their caterpillar hosts. This supports the hypothesis that plants communicate with members of the third trophic level,i.e., plants under herbivore attack emit chemical signals that guide natural enemies of herbivores to sites of plant damage. In this interaction, the GLVs serve as tritrophic plant-to-parasitoid synomones. That parasitoids from two different wasp families oriented to GLVs suggests that the response may be widespread among the Hymenoptera.Mention of a commercial or proprietary product does not constitute an endorsement by the U.S. Department of Agriculture