A novel pretreatment method of three-dimensional fluorescence data for quantitative measurement of component contents in mixture

• A novel pretreatment method before quantitative measurement of component contents in mixture.
• Measurement sensitivity is improved.
• Measurement slope is improved. (Amplify the slope of measurement sensitivity.)
• Random noise is reduced.
• Turn the concentration values to the solutions of nonlinear equations.

Three-dimensional fluorescence technique is commonly used for the determination of component contents in the mixture. Fluorescence intensity data are used directly in the fluorescent spectrum data processing method. The relationship between fluorescence intensity values and concentrations is linear. Random noise is inevitable in the process of measuring due to fluorescence spectrometer. The measurement accuracy is reduced due to the existence of noise. To reduce random noise and improve the measurement sensitivity, a novel pretreatment method of three-dimensional fluorescence data is proposed. The method is based on Quasi-Monte-Carlo integral. Due to the increased slope of fluorescence intensity data during the integral, the measurement sensitivity is improved. At the same time, the sum of different exponentials of fluorescence intensity at the points reduces the random noise, so the measurement sensitivity is improved more. The recovery rates of the mixture mixed by gasoline, kerosene and diesel oil are calculated to validate the effectiveness of the method.

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