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利用生物膜的电位响应测量水中游离氯水平及其在饮用水质量监测和管理中的应用。

Measurement of free chlorine levels in water using potentiometric responses of biofilms and applications for monitoring and managing the quality of potable water.

机构信息

The Polytechnic School, Ira A. Fulton Schools of Engineering, Arizona State University, 7171 E. Sonoran Arroyo Mall, Mesa, AZ 85212, United States of America.

The Polytechnic School, Ira A. Fulton Schools of Engineering, Arizona State University, 7171 E. Sonoran Arroyo Mall, Mesa, AZ 85212, United States of America.

出版信息

Sci Total Environ. 2021 Apr 20;766:144424. doi: 10.1016/j.scitotenv.2020.144424. Epub 2020 Dec 25.

Abstract

Residual free chlorine is not monitored continuously at scale in drinking water distribution systems because existing real-time sensor technologies require frequent maintenance, cleaning, and calibration, which makes these products too costly to be used throughout a distribution system. As a result, current measurement approaches require manual sampling, which is not feasible for the consistent monitoring of free chlorine because chlorine concentrations vary significantly throughout pipeline distribution and over time and space. This research presents an alternative and cost-effective method of predicting free chlorine levels in drinking water using graphite electrodes coated with naturally grown microbial biofilms. This Microbial Potentiometric Sensor (MPS) array was installed in a Continuously Mixed Batch Reactor (CMBR), and drinking water containing variable free chlorine concentrations. The chlorine concentrations were introduced in a controlled manner, and the MPS signals were monitored over time. MPS signals were measured from the change in Open Circuit Potential (OCP) across the MPS array in real-time. An empirically derived relationship between the normalized change in OCP and free chlorine was established by fitting individual and average MPS data to a decaying exponential growth function in order to predict free chlorine levels. The results show that free chlorine can be predicted with reasonable accuracy, with model validation showing an average absolute error of ±0.09 ppm below 1.1 ppm and ±0.30 ppm between 1.1 and 2.7 ppm. However, the accuracy of predictions was reduced at higher free chlorine levels. The researchers conclude that MPS systems may benefit drinking water distribution systems by measuring free chlorine. These advantages of the MPS are especially pronounced in the developing world because this system is inexpensive and does not require routine maintenance or cleaning. The system relies on a naturally forming and regenerating biofilm and an inexpensive potentiometric meter to produce stable measurements.

摘要

在饮用水分配系统中,不会连续监测游离余氯,因为现有的实时传感器技术需要频繁的维护、清洁和校准,这使得这些产品在整个分配系统中使用成本过高。因此,目前的测量方法需要手动采样,由于氯浓度在管道分配和随时间和空间的过程中会发生显著变化,因此对于游离氯的持续监测来说,这种方法是不可行的。本研究提出了一种替代方法和具有成本效益的方法,使用涂有天然生长微生物生物膜的石墨电极来预测饮用水中的游离氯水平。这个微生物电位传感器(MPS)阵列被安装在连续混合批量反应器(CMBR)中,并在含有可变游离氯浓度的饮用水中。以受控的方式引入氯浓度,并随着时间的推移监测 MPS 信号。MPS 信号是通过实时测量 MPS 阵列的开路电位(OCP)变化来测量的。通过将单个和平均 MPS 数据拟合到衰减指数增长函数中,建立了归一化 OCP 变化与游离氯之间的经验关系,以预测游离氯水平。结果表明,游离氯可以以合理的精度进行预测,模型验证显示在 1.1 ppm 以下时平均绝对误差为±0.09 ppm,在 1.1 至 2.7 ppm 之间时平均绝对误差为±0.30 ppm。然而,在较高的游离氯水平下,预测的准确性会降低。研究人员得出结论,MPS 系统可以通过测量游离氯来改善饮用水分配系统。在发展中国家,MPS 的这些优势尤为明显,因为该系统成本低廉,不需要例行维护或清洁。该系统依赖于自然形成和再生的生物膜以及廉价的电位计来产生稳定的测量结果。

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