在地表水中检测和定量双A,使用吸收-传输和光激发-发射矩阵 (A-TEEM) 与多路技术相结合
Thomas Ingwani1, Nhamo Chaukura2, Bhekie B Mamba1
1Institute for Nanotechnology and Water Sustainability, College of Engineering, Science and Technology, University of South Africa, Johannesburg 1709, South Africa.
这项研究使用光光谱学和先进建模精确检测了表面水中的双甲 (BPA). 开发的方法准确地预测了BPA度,这对于监测水质和环境健康至关重要.
科学领域:
- 环境化学环境化学
- 分析化学 分析化学
- 频谱学是一种光谱学.
背景情况:
- 双A (BPA) 是一种常见的环境污染物.
- 在地表水中准确检测BPA对于环境监测和公共卫生至关重要.
研究的目的:
- 开发和验证一种检测和量化表面水中的双A (BPA) 的方法.
- 使用EME光光谱学与PARAFAC和PLS建模相结合,用于准确的BPA分析.
主要方法:
- 采用EME光光谱法,分析含有BPA的地表水样本.
- 并行因子 (PARAFAC) 分析用于分辨单个光体,包括BPA.
- 应用了部分最小平方 (PLS) 建模来根据光谱数据预测BPA度.
主要成果:
- 通过PARAFAC的建模,成功地确定了四种光体,其中之一是BPA.
- 在BPA度预测方面,获得了高相关系数 (R2 = 0.996,Pearson's r = 0.998) 和 RPD (3.41).
- 该方法表明BPA的低检测 (3.512μM) 和量化 (11.708μM) 极限.
结论:
- 使用EME光光谱与PARAFAC和PLS建模开发的方法提供了在地表水中BPA的精确检测和预测.
- 这种方法对于评估地表水污染和解决相关环境和健康问题是有价值的.
- 将空间水污染数据与其他数据集集集成为了解饮用水质量和环境正义问题至关重要.
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