SPE-LC-MS法检测杭州地区饮用水水源及自来水中的双酚A

采用固相萃取 液相色谱 质谱法 (SPE LC MS)对杭州钱塘江流域及杭州地区自来水厂水样中的双酚A进行检测 .在 1 0个采样点均检测出双酚A ,浓度范围在 0 33— 2 5 0 9ng·l- 1 .     

同位素内标-高效液相色谱-串联质谱法测定畜禽粪便中6种雌激素

为了研究畜禽粪便中雌激素的污染特征及其环境影响,建立了一种同时提取、分离和检测畜禽粪便中雌酮(E1)、17α-雌二醇(17α-E2)、17β-雌二醇(17β-E2)、雌三醇(E3)、17α-炔雌醇(17α-EE2)和己烯雌酚(DES)共6种雌激素的高选择性和高灵敏性方法——同位素内标-固相萃取-高效液相色谱-串联质谱法。对提取剂、淋洗剂、洗脱剂、色谱分离条件和质谱测定条件等进行了优化。最终的优化方法为:粪便样品加入100 ng同位素内标后,先后用乙腈重复超声提取3次(每次10 mL,每次15 min),离心后合并上清液,旋转蒸发近干再复溶于1 mL甲醇,加7 mL纯水稀释并超声混匀后离心,上清液过0.45μm滤膜后用HLB固相萃取柱净化,经10 mL 15%乙腈水溶液淋洗后,用10 mL的甲醇进行洗脱,氮吹浓缩定容至1 mL,过0.22μm滤膜后测定。用2 mM氟化铵-甲醇为流动相,经TAB色谱柱分离后采用电喷雾离子源和选择反应监测负离子扫描模式进行检测,同位素内标定量。在5、50、200、1000 ng·g^?1加标水平下,6种雌激素的平均回收率为90.2%—103.2%,相对标准偏差为0.09%—9.08%,方法检出限(LOD)和方法定量限(LOQ)分别为0.25—0.95 ng·g^?1和1.00—3.82 ng·g^?1。应用此方法检测了6个猪粪、3个牛粪和3个鸡粪样品中6种雌激素的含量,结果为?1(干质量)。该方法灵敏度高,定量准确且定量范围广,适用于畜禽粪便中6种雌激素的定性定量分析。     

水和土壤中磺胺和激素类药物的同时分析方法

建立了一种水和土壤中磺胺嘧啶、磺胺甲嘧啶、磺胺噻唑、磺胺二甲嘧啶、磺胺二甲氧嘧啶、磺胺甲(噁)唑6种磺胺类药物和17α-雌二醇、17β-雌二醇、雌酮、雌三醇、炔雌醇、乙烷雌酚6种激素类药物同时分析的方法.具体步骤:水样过滤后使用Oasis HLB固相萃取小柱进行净化富集;土壤样品经加速溶剂提取(ASE)之后过Oasis HLB小柱净化富集;采用超高效液相色谱-串联质谱(UPLC-MS/MS)进行检测,分别以乙腈和1mL·L-1甲酸溶液、乙腈和1 mL· L-1氨水溶液作为流动相.磺胺在水和土壤中的回收率分别为87.4％～ 103.6％和58.2％～80.0％,激素在水和土壤中的回收率分别为84.8％～ 101.8％和62.8％～79.3％,相对标准偏差均小于10.3％.水和土壤中磺胺的检测限分别为0.11～0.24ng·L-1和0.01～0.02ng·g-1,激素的检测限分别为0.31 ～2.14 ng·L-1和0.03～0.21ng·g-1.用上述方法检测宿迁某典型养殖场周边的地表水和土壤,结果表明采用该方法检测环境样品中的磺胺和激素类药物是可行的.     

固相萃取-羟基衍生化-气相色谱/质谱联用测定滇池水体中酚类内分泌干扰物

采用PTA-OH为衍生化试剂,对酚类内分泌干扰物的衍生化条件进行了优化,并在优化条件下,利用固相萃取-羟基衍生化-气相色谱/质谱法检测了滇池水体中酚类内分泌干扰物的浓度.结果表明,目标物PTA-OH衍生化在乙酸乙酯中、20℃条件下衍生化5min可达到最佳衍生化效果,衍生化后酚类内分泌干扰物的GC/MS检测限达到0.1 pg·μl-1,检测范围为20-1000pg·μl-1;滇池水体中的辛基酚的浓度为ND-56.5 ng·μl-1;枯烯基酚的浓度为23.5-48.5 ng·μl-1;壬基酚的浓度为13.6-141.6 ng·μl-1;双酚A的浓度为N D-4713.6 ng·μl-1.滇池水体中4种酚类内分泌干扰物普遍存在,其中双酚A的污染较严重.     

高效液相/四极杆-飞行时间串联质谱法分析活性污泥中的全氟辛烷磺酸及全氟辛酸

采用固相萃取/高效液相/四极杆飞行时间串联质谱检测活性污泥中的全氟辛烷磺酸(PFOS)及全氟辛酸(PFOA).以甲醇-水(含5mmol·l-1醋酸铵,体积比60∶ 40-80∶ 20)为流动相,经高效液相分离,四极杆-飞行时间质谱检测PFOS m/z 499→80,PFOA m/z 369→169.方法的检出限:PFOS 1.0ngm·l-1;PFOA 2.0 ngm·l-1,方法的线性范围:PFOS 6-150 ngm·l-1;PFOA 10-180 ngm·l-1,方法回收率:PFOS 87%-105%,PFOA 81%-90%.用此方法分析了我国4个城市和地区活性污泥中的PFOS和PFOA.     

内燃机排气中醛、酮污染物的测定

采用高效液相色谱(HPLC)技术,在流动相为乙腈/水的梯度淋洗条件下,对内燃机排气中醛、酮污染物同时进行分离测定.结果表明,吸附管的采样效率＞95%,平行样相对标准偏差＜10%,回收率为87.5%-115.0%;利用二级管阵列检测器在醛、酮衍生物各自最大吸收波长检测13种醛、酮类衍生物.醛、酮最低检出限为0.6-2.7μg·l-1,线性范围2.1-13333μg·l-1.     

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.     

超高效液相色谱串联质谱法测定污水处理厂水样中的雌激素

采用HLB固相萃取、超高效液相色谱-串联质谱(UPLC-MS/MS)法,在多反应监测(MRM)模式下建立污水处理厂进、出水口水样中7种雌激素(戊酸雌二醇、炔雌醇、雌三醇、雌二醇、己烷雌酚、雌酮和己烯雌酚)的快速筛查测定方法,优化了固相萃取条件(萃取柱、洗脱液、pH值以及淋洗液)和UPLC-MS/MS分析条件(流动相及梯度、毛细管电压、锥孔电压、射频透镜电压、碰撞能量、离子源温度、脱溶剂气流量和锥孔气流量)。当7种雌激素质量浓度在1～100μg.L-1线性范围内时,所得回归方程的决定系数r2均大于0.997 2,方法检测限为4.40～10.27 ng.L-1,在20～100 ng.L-1雌激素添加水平范围内,进、出水口水样中目标物平均回收率分别为70.3%～95.1%和72.6%～96.7%,相对标准偏差(RSD)分别小于10.4%和9.5%。将该方法应用于南京地区4个综合污水处理厂进、出水口水样中雌激素的测定,4个污水处理厂进水中均含有高达几十、甚至上百ng.L-1的戊酸雌二醇、雌三醇和雌酮,出水中也含有几到几十ng.L-1的某几种雌激素。     

淮河(江苏段)水体有机氯农药的污染水平

分别采集淮河丰水期和枯水期次表层水样 ,并用气相色谱 电子捕集检测器分析其中1 6种有机氯农药 .水体中总HCHs含量介于 1 1 1— 7 5 5ng·l- 1 ,总DDTs含量介于 4 45—78 87ng·l- 1 .水体中DDT/(DDE DDD)比值较大 ,表明此类化合物环境滞留期较长 ;六六六的两种异构体α/γ比值接近 1 ,表明近期可能有此类物质输入淮河水域 .有机氯农药的总量在 2 6 2 7— 1 2 4 39ng·l- 1 之间 .     

在线固相萃取-液相色谱-串联质谱法同时检测海水养殖水体中15种药物

采用在线固相萃取-液相色谱-串联质谱联用(On-line SPE-LC-MS/MS)技术,建立海水循环水养殖系统中磺胺类(磺胺甲基异恶唑、磺胺噻唑、磺胺嘧啶、磺胺甲基嘧啶、磺胺二甲嘧啶)、大环内酯类(克拉霉素、脱水红霉素)、喹诺酮类(恩诺沙星、氧氟沙星、诺氟沙星)、四环素类(金霉素、四环素、土霉素)13种抗生素及孔雀石绿、隐色孔雀石绿共15种药物的同时检测方法,为循环水养殖海水中部分有机污染物的检验鉴定提供依据.采用0.1%(V/V)甲酸水溶液和0.1%(V/V)甲酸的乙腈-甲醇(1∶1,V/V)溶液为分析流动相,水样经简单酸化处理后直接进样0.9 mL进行On-line SPE-LCMS/MS检测,经在线固相萃取柱富集后,经过梯度洗脱分离,串联质谱多反应监测模式进行定性、定量分析测定.结果表明,15种目标化合物在1—100 ng·L^-1范围内均具有良好的线性响应,方法检出限范围为0.02—1.00 ng·L^-1,定量限范围为0.06—3.00 ng·L^-1.采用该方法对山东省烟台市某水产公司2个海水循环水养殖系统的15...     

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.     

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.     

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.     

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     

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).