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Application case analysis of reference nitrogen analyzer
Date: 2025-06-24Read: 1

Nitrogen analyzers are widely used in soil research, environmental monitoring, industrial production, and other fields. The following are some specific application case studies:

In the field of soil and plant research, the University of Sarajevo has introduced the VELPCN802 carbon and nitrogen analyzer to enhance its ability to analyze soil and plant elements. The laboratory of the school previously used organic matter indirect estimation of nitrogen content and atomic absorption spectroscopy, which had problems such as complex sample preparation, long analysis time, and poor repeatability of results. The CN802 analyzer can directly, accurately, and quickly determine total carbon, total organic carbon, and total nitrogen in soil and plant samples. With automated operation, it improves sample flux and enhances safety by avoiding the use of hazardous reagents. This instrument assists schools in carrying out high impact research projects in fields such as soil fertility and plant nutrition, enhancing their research capabilities and opportunities for funding support in related areas.
In the field of environmental monitoring, the Dutch National Institute of Applied Sciences (TNO) has applied the HT8700 atmospheric ammonia laser analyzer to mobile measurement vehicles to measure the emissions, diffusion, and deposition of nitrogen compounds. The Dutch livestock industry is well-developed, with high ammonia emissions and significant environmental impact, making it difficult to accurately measure the diffusion of ammonia emissions. HT8700 has high sensitivity and precision, and can monitor ammonia concentration in real-time in dynamic environments. TNO conducted mobile measurement experiments on dairy farms using this instrument and generated a detailed three-dimensional model of ammonia plumes, providing key data for verifying and improving emission models, as well as experience and technical support for global environmental monitoring and pollution control.
In the field of rubber product production quality control, a certain enterprise produces Japanese imported rubber products for automobiles and their supporting products. The nitrogen content in the products needs to be measured to estimate the molding rate. The requirements for nitrogen content testing are very high, requiring each sample to be analyzed twice, and the difference between the two parallel data should not exceed 0.02%. The FlashSmartNprotein Dumas nitrogen analyzer from Thermo Fisher Scientific uses the Dumas combustion method to separate gases through a GC chromatographic column, allowing nitrogen to enter a high-sensitivity detector to avoid the influence of impurity gases. Through experimental verification, the instrument can meet customer requirements, with a fitting degree of over 99% between 10 measured values and theoretical values, and measurement results between parallel samples being less than or equal to 0.02%, ensuring high measurement accuracy.
In the field of sewage treatment, a large sewage treatment group has uniformly deployed Xiamen Jingchuan Spectral Nitrate Online Analyzer in its five sewage treatment plants. This instrument adopts the principle of spectral absorption method, with measurement error controlled within ± 2%, and can accurately measure the concentration of nitrate nitrogen. The intelligent self-cleaning system it is equipped with can reduce the frequency of manual cleaning from 8 times per month to 2 times, saving over 200000 yuan in labor costs annually. At the same time, the stability of continuous operation of the equipment has been improved by 90%, and the data efficiency has jumped from 82% to 98%. The sewage treatment plant has achieved a win-win situation in terms of economic and social benefits by monitoring changes in nitrate nitrogen concentration in real time, accurately adjusting the amount of carbon source added, and increasing the effluent compliance rate from 92% to 99%. It has also reduced potential losses by over 500000 yuan per year and won government environmental subsidies due to efficient and stable monitoring data.