基于统计建模的微流控电化学传感器在地表水硝酸盐检测中的应用

IF 3.3 3区 化学 Q2 CHEMISTRY, ANALYTICAL
Analyst Pub Date : 2025-04-01 DOI:10.1039/D5AN00092K
Sai Kiran Mani, Revati Kadolkar, Tithi Prajapati, Preety Ahuja, Mesha Shajahan, JungHun Lee, Michael Tolosa, Mary McWilliams, Claire Welty, Douglas D. Frey, Venkatesh Srinivasan, Sanjeev Kumar Ujjain and Govind Rao
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引用次数: 0

摘要

用于饮用水供应的地表水和地下水中硝酸盐(NO3-)的存在需要密切监测,因为含量升高会引起缺氧和高铁血红蛋白血症,从而对水生生物和人类健康产生不利影响。许多现有的经epa认证的用于环境监测的传感器价格昂贵,体积庞大,而且劳动密集型。为了解决这些问题,我们已经成功开发了一种低成本的微流控电化学阻抗传感器,该传感器由聚苯胺/碳纳米复合材料(Ni@Pani/C)中的硝酸盐结合镍配合物组成,可以在现场监测硝酸盐。在优化的条件下,我们的传感器在硝酸盐浓度范围(0.6-10 ppm)内具有2.31±0.09 Ω/ppm/cm2的高灵敏度。它还显示出理想的低检测限0.015 ppm和快速响应时间低于20秒。在较宽的温度范围(5-65℃)内保持可重复性,并在较长时间(~1个月)内表现出一致的性能。在对潜在干扰因素(SO42-、C2H3O2-、HCO3-、NH4+、Cl-)的检测中,该传感器对硝酸盐具有较高的特异性,对美国马里兰州不同河流的水样具有良好的重现性。采用统计模型验证了该传感器的准确性,最大标准差为±0.6 ppm(绝对值)。我们的传感器还与商用SUNA设备进行了基准测试,结果具有相当的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Microfluidic-electrochemical sensor utilizing statistical modeling for enhanced nitrate detection in surface water towards environmental monitoring†

Microfluidic-electrochemical sensor utilizing statistical modeling for enhanced nitrate detection in surface water towards environmental monitoring†

The presence of nitrate (NO3) in surface water and groundwater used for potable supply needs to be closely monitored since in elevated amounts it can adversely affect aquatic life and human health by causing hypoxia and methemoglobinemia. Many of the existing EPA-certified sensors used for environmental monitoring are expensive, bulky, and labor-intensive. To address these concerns, we have successfully developed a low-cost microfluidic electrochemical impedimetric sensor, consisting of a nitrate-binding nickel complex within a polyaniline/carbon nanocomposite (Ni@Pani/C) enabling nitrate monitoring in field samples. Under optimized conditions, our sensor demonstrated a high sensitivity of 2.31 ± 0.09 Ω ppm−1 cm−2 across a wide nitrate concentration range (0.6–10 ppm). It also showed a desirable low detection limit of 0.015 ppm and a swift response time under 20 seconds. It maintained repeatability over a wide temperature range (5–65 °C) and exhibited consistent performance over an extended period (∼1 month). The sensor exhibited high specificity towards nitrate when tested against potential interferences (SO42−, C2H3O2, HCO3, NH4+, Cl) and showed good reproducibility for test water samples collected from various streams in Maryland, U.S.A. A statistical model was used to confirm the sensor's accuracy, which yielded a maximum standard deviation of ±0.6 ppm (absolute value). Our sensor was also benchmarked against a commercial SUNA device resulting in comparable performance.

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来源期刊
Analyst
Analyst 化学-分析化学
CiteScore
7.80
自引率
4.80%
发文量
636
审稿时长
1.9 months
期刊介绍: "Analyst" journal is the home of premier fundamental discoveries, inventions and applications in the analytical and bioanalytical sciences.
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