自然界中的亚硝酸盐:用高分子材料测定

IF 0.4 Q4 CHEMISTRY, ANALYTICAL
Nilgün Yenil, Fadim Yemiş
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引用次数: 6

摘要

氮化合物对生物的重要活动是由硝化过程产生的,并在氮循环中自发产生。人类的重要活动也是释放到大气中的额外氮的原因。因此,水和土壤中硝酸盐和硝酸盐含量的增加对人类和环境健康都产生了负面影响。因此,它旨在确保硝酸盐和亚硝酸盐定期控制在一定水平,以保护宇宙和所有生物。通过各种方法精确和选择性地测定它们是非常重要的。它们的测定通常可以通过电化学、分光光度法、色谱法和滴定法进行。如今,传感器由于其简单、快速、选择性和灵敏的应用特性,在测定硝酸盐和亚硝酸盐时取代了这些技术。此外,聚合物材料在气体、湿度、爆炸物和水污染物等不同传感应用中显示出巨大的前景。通过聚合开发的传感器在测定亚硝酸盐方面具有很高的质量。光学和电化学传感器的高灵敏度结果引起了研究人员的注意。本文综述了亚硝酸根离子的不同检测方法,以及可选择性捕获复杂基质中亚硝酸根的聚合物传感器的制备研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Nitrite in Nature: Determination with Polymeric Materials
Nitrogen compounds being important for the vital activities of living things are produced by the nitrification process and occurred spontaneously in the nitrogen cycle. Human vital activities are also responsible for the extra nitrogen released into the atmosphere. So, both human and environmental healths are negatively affected by the increasing nitrate and nitrate amounts in water and soil. For this reason, it is aimed to ensure regular control of nitrates and nitrites at certain levels in order to protect the universe and all living things. Their precise and selective determination by various methods is very important. Their determinations can usually be made by using electrochemical, spectrophotometric, chromatographic and titrimetric methods. Nowadays instead of these techniques, sensors are preferred in determining nitrate and nitrite due to their easy, fast, selective and sensitive application properties. Furthermore, polymeric materials have shown great promise for different sensing applications such as gas, humidity, explosive and water pollutants. Sensors, which are developed by polymerization, have very high quality for the determination of nitrite. The highly sensitive results of optical and electrochemical sensors attract the attention of researchers. In this review, different detection methods for nitrite ions and various studies on the preparation of polymeric sensors that can selectively capture the nitrite ions in complex matrices are examined.
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来源期刊
CiteScore
1.10
自引率
16.70%
发文量
16
审稿时长
15 weeks
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