Smartphone-Based Photometric Detection of Nitrite Level in Water

Priyanka Das, Pabita Nath
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Abstract

This work demonstrates an affordable, field-portable smartphone-based sensing tool for estimation of nitrite in water medium. The sensing principle is based on the well-known Beer-Lambert principle where transmitted modulated signal from the sample is captured by the ambient light sensor (ALS) of the phone and correlates its signal intensities with the concentration of nitrite present in the samples. The results obtained with the smartphone sensor is found to be agreed well with the laboratory-grade spectrophotometer.
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基于智能手机光度法检测水中亚硝酸盐含量
这项工作展示了一种经济实惠的,基于现场便携式智能手机的传感工具,用于估计水介质中的亚硝酸盐。传感原理基于众所周知的比尔-朗伯原理,其中来自样品的传输调制信号被手机的环境光传感器(ALS)捕获,并将其信号强度与样品中存在的亚硝酸盐浓度相关联。用智能手机传感器得到的结果与实验室级分光光度计的结果很好地吻合。
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