用于痕量分析的连续固相萃取光谱及其定量方法。

Jiayan Shen, Long Li, Kehan Xu, Anqi Jia, Yiping Du, Huipeng Deng
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引用次数: 0

摘要

本研究设计并开发了一种基于连续固相萃取光谱法(CSPES)的创新型在线检测装置,用于快速定量分析环境水污染物。该装置自动化程度高,消除了环境干扰。利用 CSPES 技术和吸附动力学理论,建立了光谱与成分浓度之间的在线定量分析模型,以及基于最小二乘法的浓度计算方法。使用含有荧蒽、苯并[k]荧蒽和罗丹明 6G 的单组分和双组分样品系统对定量分析方法进行了验证。该模型具有出色的预测性能,总体预测浓度相对误差 (RE) 为 0.45 % 至 8.75 %,相对标准偏差 (RSD) 小于 3 %。在实际样品应用中,回收率在 86.8 % 到 124.4 % 之间,RSD 在 0.33 % 到 2.22 % 之间。该方法为水质监测和环境分析提供了一个强大的工具,在各个领域都有巨大的应用潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Continuous solid-phase extraction spectroscopy and its quantification method for trace analysis.

This study designed and developed an innovative online detection device based on Continuous Solid-Phase Extraction Spectroscopy (CSPES) for rapid quantitative analysis of environmental water pollutants. The device is highly automated, eliminating environmental interference. Leveraging CSPES technology and adsorption kinetics theory, an online quantitative analysis model between the spectrum and component concentrations was established, along with a concentration calculation method based on the least squares method. The quantitative analysis method was validated using single-component and binary-component sample systems containing Fluoranthene, Benzo[k]Fluoranthene, and Rhodamine 6G. The model exhibited excellent predictive performance, with overall prediction concentration relative errors (RE) ranging from 0.45 % to 8.75 % and relative standard deviations (RSD) of less than 3 %. In real sample applications, recovery rates ranged from 86.8 % to 124.4 %, with RSDs between 0.33 % and 2.22 %. This method provides a robust tool for water quality monitoring and environmental analysis, holding significant potential for application across various fields.

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