在废水和泥中量化微塑料度不确定性的框架,将分析回收信息纳入数据分析
Ziang Zhu1, Philip J Schmidt1, Wayne J Parker1
1Department of Civil & Environmental Engineering, University of Waterloo, 200 University Avenue West, Waterloo, Ontario N2L 3G1, Canada.
Analytical chemistry
|April 9, 2024
概括
精确的微塑料 (MP) 在废水中的测量至关重要. 这项研究模拟了计数错误,通过计算粒子类型变化和样本可变性来提高准确性,从而获得更好的环境数据.
科学领域:
- 环境科学 环境科学
- 分析化学 分析化学
- 水处理 处理水的方法
背景情况:
- 污水处理厂 (WWTP) 是微塑料 (MP) 转移到污泥的关键途径,影响环境释放.
- 准确的MP量化对于评估治疗效率和进行风险评估至关重要.
- 目前的MP计数方法面临挑战,原因是采样和分析中固有的不确定性.
研究的目的:
- 调查废水和其他矩阵中的MP计数中随机错误的来源.
- 开发和应用一种建模方法来量化MP度估计中的不确定性.
- 提高环境研究MP数据的准确性和可靠性.
主要方法:
- 调整了微生物计数不确定性的模型,以包括MP特定的因素.
- 将差异分析回收 (根据MP大小,形状,类型的变化) 和非常数分析回收 (样本变化) 纳入模型.
- 将模型应用于模拟数据,以估计MP度和量化不确定性.
主要成果:
- 开发的模型量化了MP列举中的不确定性,考虑了各种错误来源.
- 对差异和非恒定分析回收的计算显著提高了计数准确性.
- 增加复制量和单独分析MP类别进一步提高了精度.
结论:
- 该研究为在各种环境样本中更准确地量化MP提供了一个框架.
- 改进的MP计数方法对于可靠的环境监测和风险评估至关重要.
- 这项工作有助于建立微塑料分析的标准化分析程序.
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