Colorimetric sensor based on intelligent mobile phone for fluorine ions in water and application of sensor

Abstract

The invention discloses a colorimetric sensor based on an intelligent mobile phone for fluorine ions in water and application of the sensor. The colorimetric sensor includes a monochrome LED light source, a light diffusion plate, a sample pool, a lens and the mobile phone; light emitted by the monochrome LED light source penetrates through the light diffusion plate and then is projected to the sample pool, the lens is placed on one light-permeable side of the sample pool, and the mobile phone is placed at a focus of the lens and aligned with a light sensing element of the mobile phone. The structure is simple, the operation is easy and convenient, the cost is low, the accuracy is high, and on-site real-time quantitative detection with a low cost for fluoride in actual water can be achieved.

Description

technical field [0001] The invention relates to a fluorine ion colorimetric sensor in water based on a smart phone and an application thereof, belonging to the field of environmental monitoring. Background technique [0002] Fluorine is one of the trace elements needed by the human body to maintain normal physiological activities. Excessive or insufficient fluorine intake by the human body from the outside world will affect health. Excessive fluorine content in water (>1mg / L) is the main cause of drinking-water fluorosis, which exists in most areas of China, especially in shallow or deep groundwater in arid and semi-arid areas. Detection and removal research is of great significance. Colorimetric method and ion selective electrode method are the main means of quantifying fluoride, among which alizarin zirconium sulfonate colorimetric method is especially suitable for the monitoring of fluoride in surface water and groundwater because of its high sensitivity, simple metho...

AI Technical Summary

Problems solved by technology

There have also been some reports on quantitative research on fluoride using the principle of mobile phone imaging combined with the colorimetric method of lead alizarin sulfonate. However, previous studies have used the built-in flashlight of mobile phones. The effect is not the same, it is difficult to promote and apply uniformly, and they are all white light sources, which need to be combined with complex optical path systems or subsequent color model algorithms to achieve quantitative analysis of fluoride

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