Abstract

Based on Lambert’s theorem, this paper adopts the integration of micro-control technology and sequential injection technology and designs a water-quality ammonia nitrogen online detection system to improve the accuracy of ammonia nitrogen detection and to solve the demand for the determination of ammonia nitrogen index in the surface I to V water. The linearity of the assay data can be improved by controlling the variables in a control experiment, reducing the volume of the digestion cell, and reducing the inner diameter of the Teflon tube. Compared with the traditional ammonia nitrogen detection system, it has higher detection accuracy, and the number of reagents used and waste liquid generated have been greatly reduced, effectively improving the accuracy of ammonia nitrogen index detection. In this experiment, the determination of the ammonia nitrogen index was accomplished by salicylic acid spectrophotometry, and the range of determination covered the standard limits of ammonia nitrogen in a surface water environment from Class I to V water. The experimental results showed that: The regression model for the detection of ammonia index by the salicylic acid method was developed using the least squares fitting algorithm, and the linear range was from 0 to 2 mg/mL. The correlation coefficient of the experimental data for the 10 mm inner diameter tube was 0.9981 and that for the 15 mm inner diameter tube was 0.923. And the concentration and absorbance were both positively correlated, and the trend of the experimental data was consistent with the theoretical analysis. The system is designed to reduce operation and maintenance costs, improve detection accuracy, and efficiently analyze the ammonia nitrogen index in surface I-V water, providing technical support for environmental protection and surface water quality monitoring.

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