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用紫外分光光度法估算源分离硝化尿液中的亚硝酸盐。

Estimation of nitrite in source-separated nitrified urine with UV spectrophotometry.

机构信息

EAWAG, Swiss Federal Institute of Aquatic Science and Technology, Überlandstrasse 133, P.O. Box 611, CH-8600 Dübendorf, Switzerland.

Department of Chemistry, Faculty of Science and Technology, Universidade Nova de Lisboa, 2829-516 Caparica, Portugal.

出版信息

Water Res. 2015 Nov 15;85:244-54. doi: 10.1016/j.watres.2015.08.031. Epub 2015 Aug 22.

Abstract

Monitoring of nitrite is essential for an immediate response and prevention of irreversible failure of decentralized biological urine nitrification reactors. Although a few sensors are available for nitrite measurement, none of them are suitable for applications in which both nitrite and nitrate are present in very high concentrations. Such is the case in collected source-separated urine, stabilized by nitrification for long-term storage. Ultraviolet (UV) spectrophotometry in combination with chemometrics is a promising option for monitoring of nitrite. In this study, an immersible in situ UV sensor is investigated for the first time so to establish a relationship between UV absorbance spectra and nitrite concentrations in nitrified urine. The study focuses on the effects of suspended particles and saturation on the absorbance spectra and the chemometric model performance. Detailed analysis indicates that suspended particles in nitrified urine have a negligible effect on nitrite estimation, concluding that sample filtration is not necessary as pretreatment. In contrast, saturation due to very high concentrations affects the model performance severely, suggesting dilution as an essential sample preparation step. However, this can also be mitigated by simple removal of the saturated, lower end of the UV absorbance spectra, and extraction of information from the secondary, weaker nitrite absorbance peak. This approach allows for estimation of nitrite with a simple chemometric model and without sample dilution. These results are promising for a practical application of the UV sensor as an in situ nitrite measurement in a urine nitrification reactor given the exceptional quality of the nitrite estimates in comparison to previous studies.

摘要

对亚硝酸盐的监测对于分散式生物尿液硝化反应器的即时响应和防止不可逆失效至关重要。尽管有一些传感器可用于测量亚硝酸盐,但没有一个适用于同时存在高浓度亚硝酸盐和硝酸盐的应用。这就是在经过硝化稳定化以进行长期储存的收集的源头分离尿液中存在的情况。紫外线(UV)分光光度法结合化学计量学是监测亚硝酸盐的一种很有前途的选择。在这项研究中,首次研究了可浸入式原位 UV 传感器,以建立硝化尿液中亚硝酸盐浓度与 UV 吸光度之间的关系。该研究重点研究了悬浮颗粒和饱和度对吸光度光谱和化学计量模型性能的影响。详细分析表明,硝化尿液中的悬浮颗粒对亚硝酸盐的估计影响可以忽略不计,这得出的结论是,作为预处理,不需要进行样品过滤。相比之下,由于浓度非常高而导致的饱和度会严重影响模型性能,这表明稀释是必不可少的样品制备步骤。然而,通过简单地去除饱和的、UV 吸光度光谱的低端,并从次要的、较弱的亚硝酸盐吸收峰中提取信息,也可以减轻这种影响。这种方法允许使用简单的化学计量模型和不进行样品稀释来估计亚硝酸盐。与之前的研究相比,这些结果对于在尿液硝化反应器中作为原位亚硝酸盐测量的 UV 传感器的实际应用非常有前景,因为与之前的研究相比,该传感器对亚硝酸盐的估计质量非常出色。

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