Pollution Characteristics and Ecological Risk of PBDEs in Water and Sediment from an Electronic Waste Dismantling Area in Taizhou

以台州某电子垃圾拆解工业园为圆心,在半径为16 km的范围内,由近及远设计了C(3 km)、S(5~10 km)和R(10~16km)三圈共30个采样点,研究了该区域水及沉积物中多溴联苯醚(PBDEs)的污染特征与生态风险.结果表明,水中PBDEs含量为9.4~57.2 ng·L~(-1),平均值为25.9 ng·L~(-1);沉积物中PBDEs含量为3.7~38 775 ng·g~(-1),平均值为2 779 ng·g~(-1);BDE-209均为主要成分.水及沉积物中PBDEs含量的空间分布态势均为:C圈>S圈>R圈,沉积物中PBDEs含量和离工业园区中心的距离呈极显著负相关(P S > R. Furthermore,the concentrations of PBDEs in sediments showed significant negative correlation against the distance from the industrial park( P < 0. 01). Compared with other regions around the world,the PBDEs contamination was more serious in the area,which indicated that e-waste dismantling activity was one of the significant sources for PBDEs pollution. It was estimated that a total of 30. 7 t PBDEs( including 28. 9 t BDE-209) was discharged into surrounding environment as a result of dismantling industrial activities in last 40 years. A preliminary ecological risk assessment for PBDEs in water and sediments was conducted by hazard quotient method. The results demonstrated that the Penta-BDEs in the center of e-waste dismantling area( a radius of 1. 5 km) was at particularly high risk level and could cause serious influence on the ecological safety and human health.环境保护公益性行业科研专项(201309047

不同类型区农业资源高效利用优化模式与技术体系集成

该课题选择对我国农业资源高效利用与持续发展具有重要意义的生态类型区,进行以节地、节水、节肥、节粮为重点的农业资源高效利用优化模式与技术集成综合研究,提出不同类型区农业资源高效利用的优化模式与技术体系集成方案,资源综合利用效率可提高20～30%,为21世纪中国不同类型区农业资源高效利用与可持续发展提供科学依据

SPME-GC-MS测定‘凤丹’牡丹籽油挥发物组成时固相微萃取条件的响应面优化Response surface optimization of solid phase microextraction condition for the determination of volatiles in Fengdan seed oil by SPME-GC-MS

为‘凤丹’牡丹籽油风味研究提供参考，采用固相微萃取技术结合气相色谱-质谱法（SPME-GC-MS）测定‘凤丹’牡丹籽油挥发物组成。在单因素试验基础上，根据Box-Behnken试验设计原理，以‘凤丹’牡丹籽油挥发物总峰面积为响应值，以样品量、平衡时间、萃取时间、萃取温度为因素进行响应面试验，对‘凤丹’牡丹籽油挥发物的固相微萃取条件进行优化，然后采用SPME-GC-MS测定‘凤丹’牡丹籽油的挥发物组成及相对含量。结果表明：固相微萃取‘凤丹’牡丹籽油挥发物的最佳条件为样品量4.0 g（15 mL样品瓶），平衡时间40 min，萃取时间20 min，萃取温度80 ℃；在最佳条件下结合GC-MS分析测得‘凤丹’牡丹籽油中共有22种挥发物，其中烯烃类、酯类、醛类、醇类、杂环类、芳烃类和酚类的相对含量分别为33.34%、21.12%、20.76%、19.05%、3.48%、1.67%、0.61%。综上，该响应面法优化的固相微萃取条件适合快速测定‘凤丹’牡丹籽油挥发物，烯烃类、酯类、醛类和醇类是‘凤丹’牡丹籽油中的重要挥发物。 In oder to provide reference for the study of flavor of Fengdan seed oil, the volatile composition of Fengdan seed oil was determined by solid-phase microextraction combined with gas chromatography-mass spectrometry (SPME-GC-MS). On the basis of the single factor experiment, according to the Box-Behnken experimental design principle, with the total peak area of volatile in Fengdan seed oil as the response value, the response surface methodology was conducted to optimize the conditions for the solid-phase microextraction of volatiles in Fengdan seed oil, with the sample amount, equilibrium time, extraction time, and extraction temperature as the factors. Then the volatile composition and relative content of Fengdan seed oil were determined by SPME-GC-MS. The results showed that the optimal conditions for solid phase microextraction of the volatiles in Fengdan seed oil were obtained as follows: sample amount 4.0 g(15 mL sample flask), equilibrium time 40 min, extraction time 20 min, and extraction temperature 80 ℃. Under the optimal conditions and combined with GC-MS analysis, 22 kinds of volatiles in Fengdan seed oil were detected. Among them, the relative contents of alkenes, esters, aldehydes, alcohols, heterocyclics, aromatic hydrocarbon and phenols were 33.34%, 21.12%, 20.76%, 19.05%, 3.48%, 1.67% and 0.61%, respectively. In conclusion, the solid phase microextraction conditions optimized by the response surface methodology are suitable for rapid determination of volatile in Fengdan seed oil, and alkenes, esters, aldehydes and alcohols are important volatile compounds in Fengdan seed oil

Measurement of integrated luminosity of data collected at 3.773 GeV by BESIII from 2021 to 2024

We present a measurement of the integrated luminosity e+e- of collision data collected by the BESIII detector at the BEPCII collider at a center-of-mass energy of Ecm = 3.773 GeV. The integrated luminosities of the datasets taken from December 2021 to June 2022, from November 2022 to June 2023, and from October 2023 to February 2024 were determined to be 4.995±0.019 fb-1, 8.157±0.031 fb-1, and 4.191±0.016 fb-1, respectively, by analyzing large angle Bhabha scattering events. The uncertainties are dominated by systematic effects, and the statistical uncertainties are negligible. Our results provide essential input for future analyses and precision measurements

JUNO Sensitivity on Proton Decay p→νˉK+p\to \bar\nu K^+ Searches

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this paper, the potential on searching for proton decay in $p\to \bar\nu K^+$ mode with JUNO is investigated.The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits to suppress the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar\nu K^+$ is 36.9% with a background level of 0.2 events after 10 years of data taking. The estimated sensitivity based on 200 kton-years exposure is $9.6 \times 10^{33}$ years, competitive with the current best limits on the proton lifetime in this channel