基于近红外光谱学的水溶液中的盐的定性区分和定量预测
Ruoyu Wu1, Junjie Xue1, Hongqian Tian1
1College of New Energy, North China Electric Power University, Beijing, 102206, PR China.
Talanta
|September 4, 2024
概括
近红外光谱 (NIRS) 提供了一种快速而准确的方法来检测淡水中的盐类型和度. 这项技术通过克服传统检测技术的局限性,支持安全利用水资源.
科学领域:
- 分析化学 分析化学
- 环境科学 环境科学
- 频谱学是一种光谱学.
背景情况:
- 淡水盐化对生态系统和人类健康构成重大威胁.
- 传统的盐检测方法往往很慢,缺乏确定盐类型和度的准确性.
- 需要有效和精确的方法来监测淡水的盐度.
研究的目的:
- 探索便携式近红外光谱仪 (NIRS) 在水溶液中进行定性和定量盐检测的应用.
- 评估化学测量模型的有效性,包括支持矢量机 (SVM),部分最小方程差异分析 (PLS-DA) 和部分最小方程回归 (PLSR),用于盐分析.
- 为安全管理和利用淡水资源提供技术基础.
主要方法:
- 使用十种不同的盐 (例如NaCl,KCl,MgCl2) 在离子化水中制备100种单盐溶液 (0.02%-1.00%).
- 使用便携式近红外光谱仪从准备好的盐溶液中收集光谱数据.
- 应用化学测量模型 (SVM,PLS-DA,PLSR) 进行盐离子分辨和度预测.
主要成果:
- 部分最小平方区分分析 (PLS-DA) 在区分盐类型方面取得了很高的准确性 (98.86%的预测集,99.66%的验证集).
- 部分最小平方回归 (PLSR) 模型对所有十种测试盐都表现出了出色的定量预测能力,大多数盐的确定系数 (R2) 达到0.99.
- 支持矢量机 (SVM) 的有效性有限,主要用于区分盐离子.
结论:
- 接近红外光谱 (NIRS),加上适当的化学测量分析,是一种可行的技术,用于快速准确的定性和定量检测溶液中的盐.
- PLS-DA和PLSR模型为识别盐类型和预测它们在淡水中的度提供了强大的性能.
- 这种基于NIRS的方法为确保淡水资源的安全和可持续使用提供了宝贵的技术支持.
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