Ammonia is the second most produced chemical in the world. Most of the world's ammonia production – almost 70% – is used as an artificial nitrogen fertilizer, as nitrogen is an essential nutrient for healthy plant growth, fruit production and chlorophyll synthesis. Anthropogenic activities, including agriculture, biomass burning and the energy sector, are responsible for most global ammonia emissions.
The most used methods for determining ammonia in water are colorimetric methods (Berthelot or Nessler), titration and ion-selective electrodes. As part of my master's thesis, I optimized the spectrophotometric salicylate method, which is a modification of the Berthelot reaction, where phenol is replaced by sodium salicylate. The optimal pH and the order of mixing reagents and catalyst was predetermined.
I varied the concentrations of reagents and the catalyst and measured the absorbance as a function of time for different reagent ratios. After determining the conditions for the fastest reaction – 1 mM sodium hypochlorite, 20 mM sodium salicylate, and 10 mM sodium nitroprusside, which was dissolved in 0.1 M sodium hydroxide (total NaOH concentration was 20 mM) – I checked whether these conditions give a linear calibration curve for the intended concentrations. I also determined the detection limit (0.19 μM NH3) and the influence of interferences. Amines (especially triethylamine) and manganese (II) ions, had the greatest influence. The optimized reaction conditions will be used to produce an ammonium sensor for determining the concentration of ammonia in a flow system.
As part of my master's thesis, I also developed an experimental learning unit for students in which students learn about and research this method for determining ammonia and learn about chemical kinetics (effects on reaction rate) and spectrophotometry. In the experimental learning unit, we obtain more reproducible and accurate results with a spectrophotometer, but it can also be performed with a smartphone using the Color Detector app.
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