吡蚜酮在马铃薯中的残留与膳食风险评估

为评价马铃薯中吡蚜酮残留引发的膳食风险。2016年-2018年开展了3年12地规范残留试验,构建吡蚜酮在马铃薯中的残留检测方法,并对我国一般人群进行了膳食风险评估。马铃薯样品使用2%乙酸乙腈提取,C18净化,外标法定量,UPLC-MS/MS检测。在0.01～1 mg/kg添加水平下,吡蚜酮在马铃薯中的平均回收率为75%～85%,相对标准偏差为3%～8%。12地最终残留试验表明,50%吡蚜酮水分散粒剂按有效成分225 g/hm²施药2次,最后1次施药后14、21 d马铃薯中吡蚜酮残留量分别≤0.018 mg/kg和≤0.012 mg/kg。膳食风险评估表明,吡蚜酮的国家估算每日摄入量(NEDI)为1.633 9 mg/kg,风险商(RQ)为86.4%。马铃薯中吡蚜酮残留不会对一般人群健康造成不可接受的风险。     

基于MaxEnt模型预测梨火疫病菌的潜在地理分布

为探究梨火疫病菌解淀粉欧文氏菌Erwinia amylovora在全球的潜在地理分布,基于其全球分布数据和筛选得到的环境变量,利用MaxEnt模型对其在当前气候和未来气候条件下的潜在地理分布进行预测,并利用刀切法和皮尔逊相关性分析法筛选对梨火疫病菌分布有重要影响的环境变量。结果显示,对梨火疫病菌分布有重要影响的环境变量包括2月平均最高温度、1月平均降水量、7月平均最低温度、温度变化方差、昼夜温差月均值和7月平均降水量,表明春季和夏季的温度和降水对梨火疫病菌的分布有较大影响。在当前气候条件下,梨火疫病菌在全球的适生区分布较广,适生区总面积达到5.58×10⁷ km²,且高适生区主要分布在北美洲沿海地区、地中海沿岸和亚洲中部及东部的部分地区;梨火疫病菌在我国的适生区总面积为7.36×10⁶ km²,占全国陆地总面积的76.70%;在未来气候SSP126和SSP585情景下,梨火疫病菌在全球的适生区总面积分别为5.52×10⁷ km²和5.24×10⁷ km²。表明梨火疫病菌对我国大部分地区有潜在威胁,应加强监测与防控。     

突发性环境污染事故应急监测的速度保障

针对突发性环境事故如何保证应急监测速度的问题，从应急监测前准备工作及应急监测运行期两方面进行说明，为保障应急监测速度提供了切实可行的方法和步骤。     

The Study and Development of Environment-Monitoring Biosensors

A review on environment-monitoring biosensors is presented.During recent years,various environment-monitoring biosensors are fast developed.They are applied to various areas,such as aquatic environment,atmosphere environment et al.The developing trend of environment_monitoring biosensors is also discussed.     

VISAR Data Reducing Method and Its Application to Impact Experiment

Identification and adjustment on the disfigurements of original data of VISAR are probed by developing software for VISAR data reducing based on measure theory. Then the software is applied to plate impact experiment of ceramics. The disfigurements of light intensity data are identified and adjusted through Lissajou~ figures. The results indicate that VISAR data are reduced quickly and effectively by the software, and the exact free surface velocity history is obtained.     

Monitoring and Assessment of Tie on the Caiyuanba Yangtze Bridge

The monitoring and assessment scheme of the Caiyuanba Yangtze Bridge is present by sensitivity analysis. The mechanics character of the six ties is studied by numerical simulation, and then the sensor location and selection are discussed considering the technique of sensor and construction situation. The trend of the displacement at the sensor location is analyzed according to different damage level of ties, the pattern associating with several displacements which are sensitive to damage at ties is bring forward to improve assessment reliability. The result can assist implement of structural health monitoring system to the same type as this bridge.