基于差异频谱混合预测模型的水中酸盐紫外线光谱的定量预测策略
Xin Wang1, Qiaoling Du1,2, Hongmei Wang1
1College of Electronic Science and Engineering, Jilin University, 2699 Qianjin Road, Changchun, Jilin 130012, China. duql@jlu.edu.cn.
Analytical methods : advancing methods and applications
|October 14, 2025
概括
这项研究引入了一种新方法,可以使用紫外线光谱学准确测量酸盐含量在水中. 混合差异酸盐方法 (MDNM) 有效地补偿度,改善水质评估.
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:
- 通过UV-VIS光谱法量化酸盐受到水度的光谱干扰的阻碍.
- 准确的酸盐检测对于环境监测和水质评估至关重要.
研究的目的:
- 开发一种用于准确量化酸盐在水中的综合方法.
- 为了应对UV-VIS光谱学中因度引起的光谱干扰的挑战.
主要方法:
- 通过分析差异光谱和度之间的关系,开发了混合差异酸盐方法 (MDNM).
- 采用混合预测框架,集成线性回归和基于值的波段选择.
- 使用标准和天然水样本验证了该方法.
主要成果:
- 在标准样品中实现了高精度 (R2=0.9982,RMSE=0.2629 mg L-1).
- 对于自然水样本 (R2=0.9663,RMSE=0.7835 mg L-1) 显示出强大的概括能力.
- MDNM有效地弥补了度,提高了酸盐检测的准确性.
结论:
- 拟议的综合方法为水中酸盐检测提供了一个简单,有效和低成本的解决方案.
- 该方法显示了实际环境监测和水质评估的巨大潜力.
- 这种方法克服了紫外线对酸盐分析中的光谱干扰挑战.
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