Experiment No. 3:
GRAVIMETRIC DETERMINATION OF PHOSPHORUS IN FERTILIZER SAMPLES
I. Abstract
The purpose of this experiment is to determinethe Phophorus content of fertilizer samples using Gravimetric Analysis. It involves dissolution of the fertilizer sample, precipitation and heating and cooling of the sample. Pooled standard deviations of the two data sets for % Pwet, %Pdry, %P2O5 wet and %P2O5 dry were 5.1448, 5.1472, 11.8436 and 11.8504 respectvely. During the experiment a data rejection for %P and %P2O5 was concluded at approximately 20% and 47%. Determination of the Phosphorus content in fertilizer is vital in quality assurance and in the choosing of a fertilizer grade important for agriculture.
II. Introduction
Plants require essential nutrients such as Nitrogen, Phosphorus, Potassium or Sulfur to grow. However, most soils lack these macronutrients thus a decrease in food production. In connection with this, the use of fertilizers containing these macronutrients has been part of the agricultural tradition. Fertilizers have in its labels a set of numbers, known as the fertilizer grade that always appear in the form N-P-K, indicates the proportions of essential nutrients present (ie 10-10-10 which means 10% Nitrogen, 10% Phosphate in the form of P2O5, 10% Potassium in the form of K2O).
Different organizations worldwide like Association of American Plant Food Control Officials (AAPFCO) in the United States, conduct different tests to assess the accuracy and consistency of the nutrient content with regards to that of the product label and also to ensure quality assurance as part of consumer rights. Analysis of fertilizer can be conducted using Gravimetric Analysis.
In Gravimetric Analysis, the product with known composition is resulted from the conversion of the analyte to a soluble precipitate
References: Fischer, R.B. and Peters, D.G. Quantitative Chemical Analysis 3rd ed. 1968; pp42-43;49 Food and Agriculture Organization of the United Nations Rehm, G. et al. Understanding Phosphorus Fertilizers: Phophorus in the Agricultural Environment. University of Minnesota: Extension. 2010. < http://www.extension.umn.edu/distribution/cropsystems/dc6288.html> Accessed 17 January 2013. Skoog, D. et al. Fundamentals of Analytical Chemistry 6th ed. Saunder College Publishing. 1992; pp72-80 VII = 1.6214 x (30.973761/245.406451) x 100 3.0071 Sample weight (dried) = 1.6214 x (30.973761/245.406451) x 100 = 1.6214 x (141.944522/490.812902) x 100 3.0071 Sample weight (dried) = 1.6214 x (141.944522/490.812902) x 100 Relative Standard Deviation (RSD) = [pic]x 1000 ppt = (6.39406/10.9817) x 1000 ppt = 10.9817 ± [(3.18)(6.3941)/√4] = 10.9817 ± 10.1666 Q- test = (Xq - Xn)/ R = (13.5746-11.4727)/ 4.4960 = √[(122.6521-9.6949)/ (4+3-2)] = 5.1448