Field detection of CODMn with portable optical emission spectrometer coupling with drone-based water sampler

IF 3.7 1区 化学 Q1 CHEMISTRY, ANALYTICAL Sensors and Actuators B: Chemical Pub Date : 2025-05-15 Epub Date: 2025-02-17 DOI:10.1016/j.snb.2025.137430
Yuanyuan Liu , Xiaofang Yang , Yao Lin , Yubin Su , Jinyi Zhang , Yurong Deng , Chengbin Zheng
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Abstract

Permanganate index (CODMn) is one of the most important indicators to assess organic pollution in surface water, however, its determination is often limited by the potential risks associated with sample collection and analyte loss during sample storage and transport. Herein, a novel strategy combining drone-based sample collection with microplasma point discharge carbon optical emission spectrometry (μPD-C-OES) was described to effectively address these issues. The drone-based sample collection technique can follow preset routes to rapidly collect water samples at specified depths from various sites within a radius of 15 km, eliminating potential risks to operators and improving sampling accuracy. A miniaturized low-power μPD-C-OES device coupling with sealed-digestion chemical vapor generation (SD-CVG) can accomplish rapid field detection of CODMn via quantification of the volatile CO2 produced from the oxidation of Na2C2O4 by residual KMnO4, thereby avoiding sample storage, transport, and analyte loss. Due to the high sensitivity of μPD-C-OES and highly efficient matrix separation provided by the CVG technique, a limit of detection (LOD) of 0.17 mg/L for CODMn was obtained, with relative standard deviations (RSDs, n = 11) better than 1.5 %. The practicality of this strategy was evaluated through the field analysis of water samples collected from a large reservoir and a river. The obtained results indicate that the proposed method not only facilitates safe, accurate and rapid water sample collection with precise GPS localization but also offers an innovative solution for the sensitive field detection of CODMn in surface water.

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便携式光学发射光谱仪耦合无人机水样器对CODMn的现场检测
高锰酸盐指数(CODMn)是评估地表水有机污染最重要的指标之一,但其测定往往受到样品采集和样品储存和运输过程中分析物损失的潜在风险的限制。本文提出了一种将无人机采集与微等离子体点放电碳光学发射光谱(μPD-C-OES)相结合的新策略,以有效解决这些问题。基于无人机的采样技术可以按照预先设定的路线,在半径15 km范围内的不同地点,在指定深度快速采集水样,消除了操作人员的潜在风险,提高了采样精度。小型化的低功耗μPD-C-OES装置与密封消解化学蒸汽发生(SD-CVG)耦合,通过定量残留KMnO4氧化Na2C2O4产生的挥发性CO2,实现了CODMn的快速现场检测,从而避免了样品的储存、运输和分析物的损失。由于μPD-C-OES的高灵敏度和CVG技术高效的基质分离,CODMn的检出限(LOD)为0.17 mg/L,相对标准偏差(rsd, n = 11)> 1.5 %。通过对一个大型水库和一条河流的水样进行实地分析,评估了该策略的实用性。结果表明,该方法不仅实现了安全、准确、快速的水样采集和精确的GPS定位,而且为地表水中CODMn的敏感场检测提供了一种创新的解决方案。
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来源期刊
Sensors and Actuators B: Chemical
Sensors and Actuators B: Chemical 工程技术-电化学
CiteScore
14.60
自引率
11.90%
发文量
1776
审稿时长
3.2 months
期刊介绍: Sensors & Actuators, B: Chemical is an international journal focused on the research and development of chemical transducers. It covers chemical sensors and biosensors, chemical actuators, and analytical microsystems. The journal is interdisciplinary, aiming to publish original works showcasing substantial advancements beyond the current state of the art in these fields, with practical applicability to solving meaningful analytical problems. Review articles are accepted by invitation from an Editor of the journal.
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