Xu Jing, Wang Yu-Tian, Liu Xiao-Fei
Measurement Technology and Instrumentation Key Lab of Hebei Province, Yanshan University, Qinhuangdao, Hebei 066004, China.
Measurement Technology and Instrumentation Key Lab of Hebei Province, Yanshan University, Qinhuangdao, Hebei 066004, China.
Spectrochim Acta A Mol Biomol Spectrosc. 2015 Apr 5;140:484-8. doi: 10.1016/j.saa.2014.12.112. Epub 2015 Jan 13.
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.
三维荧光技术常用于测定混合物中的成分含量。荧光强度数据直接用于荧光光谱数据处理方法中。荧光强度值与浓度之间的关系呈线性。由于荧光光谱仪的原因，在测量过程中不可避免地会产生随机噪声。由于噪声的存在，测量精度降低。为了降低随机噪声并提高测量灵敏度，提出了一种新颖的三维荧光数据预处理方法。该方法基于拟蒙特卡罗积分。由于积分过程中荧光强度数据的斜率增加，测量灵敏度得到提高。同时，各点处荧光强度不同指数的总和降低了随机噪声，因此测量灵敏度进一步提高。计算了由汽油、煤油和柴油混合而成的混合物的回收率，以验证该方法的有效性。
