首页> 外文期刊>Journal of the Brazilian Chemical Society >Wastewater-Based Epidemiology of Cocaine in the Brazilian Federal District: Spatial Distribution, Weekly Variation and Sample Preservation Strategies
【24h】

Wastewater-Based Epidemiology of Cocaine in the Brazilian Federal District: Spatial Distribution, Weekly Variation and Sample Preservation Strategies

机译:巴西联邦区可卡因废水为基础的流行病学:空间分布,每周变化和样品保存策略

获取原文
       

摘要

The distribution of consumed cocaine in the Brazilian Federal District (FD) was estimated using the wastewater-based epidemiology (WBE) approach. Sewage samples from eight wastewater treatment plants were analyzed for cocaine (COC) and benzoylecgonine (BE) using solid-phase extraction followed by liquid chromatography-mass spectrometry. The highest per capita consumption was noticed for the northern area of the Brazilian Capital (1162 mg day-1 1000 inh-1) being 32% higher than the average consumption rate of the investigated region. In this area, a day-to-day investigation revealed an average cocaine consumption of 1800 mg day-1 1000 inh-1 during the weekend, i.e., more than 50% higher than weekdays. An annual street-grade cocaine load of about 2 ton was estimated for the FD considering previous information on the actual purity of seized street drugs as well as consumers between 15 and 64 years old. Sample preservation strategies were also investigated in order to expand the WBE approach to other Brazilian areas. Sample acidification to pH 2.0 presented the smallest relative errors for COC (+11%) and BE (−4%) after a period of three days under typical transport conditions practiced by the Brazilian national postal service.
机译:使用基于废水的流行病学(WBE)方法估算了巴西联邦区(FD)中消耗的可卡因的分布。使用固相萃取,然后进行液相色谱-质谱法分析了八家废水处理厂的污水样品中的可卡因(COC)和苯甲酰芽子碱(BE)。人均消费最高的地区是巴西首都北部地区(1162毫克日-1 1000 inh-1),比被调查地区的平均消费率高32%。在该地区,一项日常调查显示,周末可卡因的平均消费量为每天1800 mg-1 1000 inh-1,即比平日多50%以上。考虑到以前关于缉获的街头毒品以及15至64岁消费者的实际纯度的信息,该FD估计每年的街道级可卡因负载量约为2吨。还研究了样品保存策略,以将WBE方法扩展到其他巴西地区。在巴西国家邮政局实行的典型运输条件下,经过三天的酸化后,样品酸化至pH 2.0的COC(+ 11%)和BE(-4%)的相对误差最小。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号