用于评价废水原料及其合成氨利用的现场可展开氨传感器

IF 3.5
Ishita Goyal, Vamsi Vikram Gande, Rangasamy Savitha, Meenesh R. Singh
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引用次数: 0

摘要

利用可再生能源驱动的硝酸盐电化学合成氨是一种利用废水作为原料生产氨的有前途的途径。这种方法可以分散氨的生产,并解决与硝酸盐污染有关的环境问题。如果更广泛的目标是使用真实的废水作为原料,则必须仔细研究各种阴离子及其对氨选择性的影响。然而,两个重大挑战阻碍了它的实际实施:来自常见废水阴离子(硫酸盐、氯化物、磷酸盐)的干扰,以及缺乏适合工艺优化的快速、经济有效的氨监测方法。本文提出了一种将阴离子效应的基础研究与基于纸张的创新检测平台相结合的综合解决方案。这项系统的研究揭示了竞争离子如何影响电化学氨选择性,为催化剂设计提供了重要的见解。更重要的是,开发了一种基于纸张的传感协议,仅使用10 μ L的样品即可实现敏感的氨定量(10 - 500 μ m范围,35 μ m检测限)。这种可现场部署的系统消除了对复杂仪器的需求,提供的结果比标准比色分析快三倍,同时保持90%的准确性。该传感器的强大性能使其能够在电化学测试过程中实时监测合成和真实废水样品的氨产量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Field-Deployable Ammonia Sensor for Assessment of Wastewater Feedstocks and Their Utilization for Ammonia Synthesis

Field-Deployable Ammonia Sensor for Assessment of Wastewater Feedstocks and Their Utilization for Ammonia Synthesis

Field-Deployable Ammonia Sensor for Assessment of Wastewater Feedstocks and Their Utilization for Ammonia Synthesis

Field-Deployable Ammonia Sensor for Assessment of Wastewater Feedstocks and Their Utilization for Ammonia Synthesis

Renewable energy-driven electrochemical ammonia synthesis using nitrates presents a promising pathway for producing ammonia while utilizing wastewater as a feedstock. This approach enables decentralized ammonia production and addresses environmental concerns related to nitrate pollution. If the broader goal is to use real wastewater as a feedstock, various anions and their influence on ammonia selectivity must be carefully studied. However, two significant challenges hinder its practical implementation: interference from common wastewater anions (sulfate, chloride, phosphate) and the lack of rapid, cost-effective ammonia monitoring methods suitable for process optimization. Here, an integrated solution combining fundamental studies of anion effects with an innovative paper-based detection platform is presented. This systematic investigation reveals how competing ions influence electrochemical ammonia selectivity, providing crucial insights for catalyst design. More importantly, a paper-based sensing protocol is developed that achieves sensitive ammonia quantification (10–500 µm range with 35 µm limit of detection) using merely 10 µL of sample. This field-deployable system eliminates the need for sophisticated instrumentation, delivering results three times faster than standard colorimetric assays while maintaining >90% accuracy. The sensor's robust performance enabled real-time monitoring of ammonia production from synthetic and real wastewater samples during electrochemical testing.

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