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在水生环境中精确量化甲:克服MIMS中溶解氧干扰的挑战

Zhongjing Zhao¹, Lu Zhang², Xiaolong Yao³

¹Key Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China; State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China; University of Chinese Academy of Sciences, Beijing 100049, China.

|March 26, 2025

概括

溶解的氧气会干扰使用膜入口质谱法 (MIMS) 的甲测量. 一种新的MIMS-Orthogonal Partial Least Squares (OPLS) 方法纠正了这种干扰,提高了水生环境中甲量化准确度.

科学领域:

环境科学环境科学
分析化学分析化学
生物地质化学生物地质化学

背景情况:

膜入口质谱 (MIMS) 是一种灵敏,快速且具有成本效益的分析溶解气体的技术.
以前的溶解甲 (dCH4) 的MIMS应用忽略了溶解氧 (DO) 的潜在干扰.
当DO干扰不被考虑时,特别是高度时,dCH4的高估值可能会发生.

研究的目的:

为了解决MIMS测量溶解甲 (dCH4) 中被忽视的溶解氧 (DO) 的干扰问题.
开发和验证一种改进的MIMS方法,采用直角部分最小平方 (OPLS) 来准确量化dCH4.
为了证明MIMS-OPLS方法在各种水生监测和研究场景中的适用性.

主要方法:

使用MIMS分析了具有不同dCH4和DO度的样本.
开发了一个直角部分最小方形 (OPLS) 模型来识别和纠正DO干扰.
通过对标准样本进行量化,与标准线性模型对比MIMS-OPLS方法的性能进行了评估.

主要成果:

当不考虑DO干扰时,MIMS对dCH4的测量被高估了.
与线性模型相比,MIMS-OPLS方法显著降低了dCH4量化中的偏差,实现了根平均平方误差 (RMSE) 的47.69%降低.
该方法在四个不同的应用中证明了可靠性和准确性,包括批量和连续工艺.

结论:

在dCH4测量中,MIMS-OPLS方法有效地纠正DO干扰.
这种创新方法提高了在多种多样的DO度水域中dCH4测定的准确性.
MIMS-OPLS方法为推进水生环境监测和对甲动态的生物化学研究提供了一个精确的工具.

关键词:

藻类藻类是一种藻类.这就是MIMS.甲生产甲生产在OPLS中,OPLS是OPLS.氧干扰是一种氧干扰.

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