利用自动采样集成电化学传感器对土壤孔隙水中的镉进行原位和在线监测

IF 4.4 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
JiaJie Kuang, JunLin Wen, XiXi Cai, LiHua Zhou, Yong Yuan
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引用次数: 0

摘要

土壤孔隙水中的镉(Cd)污染是水稻(Oryza sativa L.)等粮食作物吸收镉的主要途径,对食品安全和人类健康构成重大风险。本研究提出了一种新型土壤孔隙水金属传感器(SPW-Msensor),用于原位和在线监测土壤孔隙水(Cdpw)中的镉。SPW-Msensor 集成了一个自动采样装置,包括一个 Rhizon 采样器和一个具有独立双柱塞驱动的往复式串联泵,以及一个由丝网印刷电极、流动池和便携式恒电位仪组成的便携式电化学传感器。SPW-M 传感器可在 50 至 300 ppb 的线性范围内检测镉,同时具有很强的抗干扰能力。此外,在 2 小时内进行的 30 次测量中,它还表现出极佳的可重复性(相对标准偏差值 (RSD) <3.6%)。该方法与使用标准 ICP-MS 方法获得的结果(RSDs <5%)具有良好的一致性。此外,本研究还确定了 SPW-Msensor 检测到的 Cdpw 与土壤中总镉浓度(Cdtotal)之间的正相关关系,R2 值等于 0.89。通过偏最小二乘回归模型,可以利用 SPW-Msensor 获得的数据预测 Cdtotal,模型质量得分(Q2)为 0.69,调整后 R2 为 0.9345,均方根误差(RMSE)为 0.1912。SPW-M 传感器展示了评估酸化土壤中镉含量的实时监测能力。这种 SPW 传感器为原位连续监测镉含量提供了一种有效的方法,可为环境和农业领域提供有价值的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
In situ and on-line monitoring of cadmium in soil pore water using an automatic sampling integrated electrochemical sensor

Cadmium (Cd) contamination in soil pore water is the primary pathway for Cd uptake by food crops, such as rice (Oryza sativa L.), posing significant risks to both food safety and human health. This study presents a novel soil pore water metal sensor (SPW-Msensor) for in situ and online monitoring of Cd in soil pore water (Cdpw). The SPW-Msensor integrates an automated sampling device, comprising a Rhizon sampler and a reciprocating series pump with an independent dual plunger drive, along with a portable electrochemical sensor consisting of a screen-printed electrode, flow cell, and portable potentiostat. The SPW-Msensor enables the detection of Cd within a linear range of 50 to 300 ppb while exhibiting high anti-interference capability. Moreover, it demonstrates excellent repeatability (relative standard deviation values (RSDs) <3.6%) across 30 measurements conducted within a 2-h period. The method exhibits good agreement with results obtained using the standard ICP-MS method (RSDs < 5%). Additionally, this study establishes a positive correlation between Cdpw detected by the SPW-Msensor and total Cd concentration (Cdtotal) in the soil with an R2 value equal to 0.89. Data acquired from the SPW-Msensor can be utilized for predicting Cdtotal through partial least squares regression modeling, achieving model quality score (Q2) of 0.69, adjusted R2 of 0.9345, and root mean square error (RMSE) of 0.1912. The SPW-Msensor demonstrates real-time monitoring capabilities for assessing Cd levels in acidified soils. This SPW-Msensor offers an efficient approach for in-situ and continuous monitoring of Cdpw that provides valuable insights applicable to environmental and agricultural domains.

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来源期刊
Science China Technological Sciences
Science China Technological Sciences ENGINEERING, MULTIDISCIPLINARY-MATERIALS SCIENCE, MULTIDISCIPLINARY
CiteScore
8.40
自引率
10.90%
发文量
4380
审稿时长
3.3 months
期刊介绍: Science China Technological Sciences, an academic journal cosponsored by the Chinese Academy of Sciences and the National Natural Science Foundation of China, and published by Science China Press, is committed to publishing high-quality, original results in both basic and applied research. Science China Technological Sciences is published in both print and electronic forms. It is indexed by Science Citation Index. Categories of articles: Reviews summarize representative results and achievements in a particular topic or an area, comment on the current state of research, and advise on the research directions. The author’s own opinion and related discussion is requested. Research papers report on important original results in all areas of technological sciences. Brief reports present short reports in a timely manner of the latest important results.
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