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In food processing, in order to pursue the products color of bright or to maintain the original color, so as to improve the sensory properties of food, increase the appetite of the people, and to improve its food value, and often add food coloring. The cost of sudan, strong coloring, colorful stable, some illegal manufacturers of food industry, especially many chili sauce detection. Sudan Red food enters the body, will consume a lot of body to detoxify substances interfere with the body's normal metabolic function, weight may be teratogenic and carcinogenic. In this paper, targeted to Sudan Red I, III, IV, polar, non-polar and mixed solvents, UV - visible spectral characteristics, as well as its UV - visible spectral characteristics of the water - organic solution; this is based on the combination of BP artificial neural network technology, the establishment of methods of analysis Determination of Sudan Series hybrid components; further targeting Sudan I, the pulse electrolysis process the sudan wastewater processing, and analysis of the impact of treatment effect a variety of factors to determine the optimum process parameters, and explore its theory. The results show that: (1) in the ultraviolet region of 200 ~ 230nm, sudan III, in a polar solvent was bimodal absorption, a non-polar solvent in the absorption peak of the doublet into a single peak with the increased concentration of sudan Ⅲ the mixed solvent absorption bimodal disappear red shifted to 310nm at showed a single peak shape. Sudan Ⅲ in cyclohexane, petroleum ether, methanol, acetonitrile, the banana water five solvent molar absorption coefficient (ε) at 104 magnitude, and the detection with high sensitivity. (2) in acetonitrile - water mixed media, with the water content increases, Sudan I, the characteristic absorption peak gradually red shift, the maximum value of up to 13 nm redshift, the absorption intensity increases gradually, the largest increase of 34.5%; Sudan III characteristic absorption peaks gradually redshift, moisture content in the range of 40% to 50%, the absorption intensity of the largest increase of 11%; Sudan IV characteristic absorption peak first redshift blue shift, when the water content in the 50% absorption intensity increase of just 2.5%. (3) Determination of Sudan blending components based on BP artificial neural network - spectroscopy for the optimized BP artificial neural network, the forecast error range between 0.03% to 9.20%. When the the sudan concentration is greater than 0.1 × 10 -4 mol · L -1 , the predicted small relative error within 5% or less. Show that the method can be used for the detection of single mixed component sudan. (4) electrolyte content, voltage, the duty cycle changes decolorization rate more obvious, the decolorization rate changes in value of 26.2%; small pulse frequency, plate spacing, electrolysis time on the decolorization rate decolorization rate The biggest change in value of 10.1%. When the salt content of 1.5%, a voltage of 9V, the pulse frequency is 50 Hz, the duty cycle is 30%, and the electrode spacing of 1.0cm, the electrolysis time was 40min, for 0.2 × 10 -4 mol · L -1 of Sudan red water - acetonitrile decolorization rate up to 86.6%.
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