通过式固相萃取净化/超高效液相色谱-串联质谱法测定畜禽肉中19种除草剂残留

建立了一种快速测定畜禽肉中19种除草剂残留的超高效液相色谱-串联质谱(UPLC-MS/MS)分析方法.样品以乙腈提取,经Oasis PRiME HLB固相萃取柱通过式净化,采用ACQUITY UPLC BEH C_(18)柱(2.1 mm×50 mm, 1.7μm)进行液相色谱分离,以乙腈和0.1%甲酸溶液作为流动相进行梯度洗脱.采用电喷雾电离源、正离子模式下以多反应监测(MRM)进行定量分析,以基质配制标准溶液外标法定量.结果表明,19种除草剂在0.2—50μg·L~(-1)范围内线性关系良好(R~20.999),方法检出限为0.5—2.0μg·kg~(-1),定量限为1.7—6.7μg·kg~(-1),在3个添加水平的加标回收率为70.2%—127.5%,相对偏差为4.1%—10.9%.该方法前处理简便快速,且准确性好、灵敏度高,适用于畜禽肉中19种除草剂残留的测定.     

The potential effects of climate change on the distribution and productivity of Cunninghamia lanceolata in China

Climate changes may have immediate implications for forest productivity and may produce dramatic shifts in tree species distributions in the future. Quantifying these implications is significant for both scientists and managers. Cunninghamia lanceolata is an important coniferous timber species due to its fast growth and wide distribution in China. This paper proposes a methodology aiming at enhancing the distribution and productivity of C. lanceolata against a background of climate change. First, we simulated the potential distributions and establishment probabilities of C. lanceolata based on a species distribution model. Second, a process-based model, the PnET-II model, was calibrated and its parameterization of water balance improved. Finally, the improved PnET-II model was used to simulate the net primary productivity (NPP) of C. lanceolata. The simulated NPP and potential distribution were combined to produce an integrated indicator, the estimated total NPP, which serves to comprehensively characterize the productivity of the forest under climate change. The results of the analysis showed that (1) the distribution of C. lanceolata will increase in central China, but the mean probability of establishment will decrease in the 2050s; (2) the PnET-II model was improved, calibrated, and successfully validated for the simulation of the NPP of C. lanceolata in China; and (3) all scenarios predicted a reduction in total NPP in the 2050s, with a markedly lower reduction under the a2 scenario than under the b2 scenario. The changes in NPP suggested that forest productivity will show a large decrease in southern China and a mild increase in central China. All of these findings could improve our understanding of the impact of climate change on forest ecosystem structure and function and could provide a basis for policy-makers to apply adaptive measures and overcome the unfavorable influences of climate change.     

孑遗植物四合木(Tetraena mongolica)迁地保护中的光合作用日变化特征与生理生态适应性

为了进一步廓清迁地保护条件下孑遗植物四合木(Tetraena mongolica)的光合生理生态适应性,在分析了瞬时光合效率的基础上,应用LI-6400光合作用测定系统测定了迁地保护试验区的四合木以及原生境伴生种白刺(Nitraria tangutorum)的光合作用日变化,并测定了其生长量。结果表明:四合木实生苗的生长南北冠幅大小依次为乌海四合木核心区实生苗(26.48cm×27.26 cm)鄂尔多斯实生苗(21.27 cm×21.75 cm)阿拉善实生苗(19.25 cm×18.27 cm)。在原生境地乌海四合木核心区种植的实生苗与阿拉善实生苗之间的生长量存在显著差异(P≤0.01),与鄂尔多斯实生苗之间的生长量存在显著差异(P≤0.05)。迁地保护条件下四合木生实生苗植株叶片光合速率Pn日变化均呈"双峰"曲线。不同试验区四合木光合作用日变化(Pn)、蒸腾速率(Tr)、气孔导度(Gs)和胞间CO2浓度(Ci)均表现出明显的分异。迁地保护四合木条件下原生境地栽培的四合木实生苗的光合速率鄂尔多斯栽培的四合木实生苗的光合速率阿拉善栽培的四合木实生苗。鉴此可以作进一步推论,孑遗濒危植物四合木从原生境地西鄂尔多斯核心区(乌海)东移进行迁地保护具有更高的生理生态适应性和生境适宜性。但完成"从种子到种子"进而实现"保存性和代表性",最终实现四合木迁地保护的"保持性和防止性",保持其遗传多样性和遗传稳定性,最终成功实现四合木的迁地保护仍有待作进一步探索和深入研究。     

环境中植酸的分布、形态及界面反应行为

肌-肌醇六磷酸(myo-inositol-1,2,3,4,5,6-hexakisphosphate,IHP,myo-IP6)简称植酸(Phytic acid或phytate),是大多数土壤中最为丰富的有机磷,它在环境中的界面反应影响着磷素的迁移、循环、转化、生物有效性以及环境效应.本文简要总结了环境中植酸的分布与形态,并综述了其界面反应,包括铁铝氧化物、粘土矿物、碳酸钙等对植酸的吸附解吸,多价阳离子与植酸的络合反应以及沉淀作用.土壤矿物对植酸的吸附影响其转化和生物有效性,矿物对植酸磷的吸附量一般远高于正磷酸盐.其中,弱晶质铁铝(氢)氧化物对植酸的吸附能力一般较晶形铁铝(氢)氧化物大很多.同时,分析了矿物类型、介质pH、温度、共存离子等环境条件对植酸界面反应的影响,植酸吸附对矿物表面电荷性质、颗粒大小和分散稳定性等的作用,以及植酸在金属污染土壤修复中的应用前景.最后讨论了环境中植酸的主要研究热点和方向.     

Quantifying the effect of trend,fluctuation, and extreme event of climate change on ecosystem productivity

Climate change comprises three fractions of trend, fluctuation, and extreme event. Assessing the effect of climate change on terrestrial ecosystem requires an understanding of the action mechanism of these fractions, respectively. This study examined 11 years of remotely sensed-derived net primary productivity (NPP) to identify the impacts of the trend and fluctuation of climate change as well as extremely low temperatures caused by a freezing disaster on ecosystem productivity in Hunan province, China. The partial least squares regression model was used to evaluate the contributions of temperature, precipitation, and photosynthetically active radiation (PAR) to NPP variation. A climatic signal decomposition and contribution assessment model was proposed to decompose climate factors into trend and fluctuation components. Then, we quantitatively evaluated the contributions of each component of climatic factors to NPP variation. The results indicated that the total contribution of the temperature, precipitation, and PAR to NPP variation from 2001 to 2011 in Hunan province is 85 %, and individual contributions of the temperature, precipitation, and PAR to NPP variation are 44 % (including 34 % trend contribution and 10 % fluctuation contribution), 5 % (including 4 % trend contribution and 1 % fluctuation contribution), and 36 % (including 30 % trend contribution and 6 % fluctuation contribution), respectively. The contributions of temperature fluctuation-driven NPP were higher in the north and lower in the south, and the contributions of precipitation trend-driven NPP and PAR fluctuation-driven NPP are higher in the west and lower in the east. As an instance of occasionally triggered disturbance in 2008, extremely low temperatures and a freezing disaster produced an abrupt decrease of NPP in forest and grass ecosystems. These results prove that the climatic trend change brought about great impacts on ecosystem productivity and that climatic fluctuations and extreme events can also alter the ecosystem succession process, even resulting in an alternative trajectory. All of these findings could improve our understanding of the impacts of climate change on the provision of ecosystem functions and services and can also provide a basis for policy makers to apply adaptive measures to overcome the unfavorable influence of climate change.