中国激光, 2015, 42 (11): 1115001, 网络出版: 2022-09-24   

荧光分析法和ABC-BP 神经网络相结合的多环芳烃的检测

Detection of Polycyclic Aromatic Hydrocarbons Combining Fluorescence Analysis with ABC-BP Neural Network
作者单位
燕山大学电气工程学院河北省测试计量技术及仪器重点实验室, 河北 秦皇岛 066004
摘要
分析了苯并[k]荧蒽(BkF)、苯并[a]芘(BaP)和两者混合物的荧光特性,结果表明BkF 存在2 个荧光特征峰,BaP存在6个荧光特征峰,BkF 和BaP 的最佳发射波长均为405 nm。不同浓度配比的混合物荧光特性差异较大,但最佳发射波长没有发生变化,仍为405 nm。在激发波长为250~400 nm,发射波长为350~500 nm 范围内,BkF 和BaP 荧光光谱重叠较为严重。为了准确检测混合物中两者的质量浓度,采用人工蜂群(ABC)算法优化的误差逆向传播(BP)神经网络对其进行检测,结果表明ABC-BP神经网络优于遗传算法(GA)-BP 神经网络。ABC-BP神经网络能够准确检测质量浓度为1.000~10.000 ng/L 的混合物中BkF 和BaP 的质量浓度。10 组混合物样本中,BkF 和BaP 的回收率平均值分别为99.19% 和99.26%。
Abstract
Fluorescence spectrum properties of benzo [k] fluoranthene (BkF), benzo[a]pyrene (BaP), and their mixture are analyzed. The experimental results show that there are two characteristic fluorescence peaks existing in BkF and six characteristic fluorescence peaks in BaP. The optimal emission wavelength of BkF and BaP is 405 nm . The fluorescence characteristics of the mixture vary widely when there are different concentration ratios. But the optimal emission wavelength of the mixture with different concentration ratios does not change, remaining at 405 nm. When the excitation wavelength is 250~400 nm and the emission wavelength is 350~500 nm, serious overlapping occurs in the fluorescence spectra of BkF and BaP. In order to detect their concentrations in the mixture precisely, back propagation (BP) neural network optimized by artificial bee colony (ABC) algorithm is applied. The result indicates that the ABC-BP neural network is better than the genetic algorithm (GA)-BP method. The ABCBP neural network can accurately detect the concentration of BkF and BaP in their mixture when the concentration is in the range of 1.000~10.000 ng/L. The average recovery of BkF and BaP in ten mixture groups is 99.19% and 99.26%, respectively.

王书涛, 陈东营, 王兴龙, 韩欢欢, 王佳亮. 荧光分析法和ABC-BP 神经网络相结合的多环芳烃的检测[J]. 中国激光, 2015, 42(11): 1115001. Wang Shutao, Chen Dongying, Wang Xinglong, Han Huanhuan, Wang Jialiang. Detection of Polycyclic Aromatic Hydrocarbons Combining Fluorescence Analysis with ABC-BP Neural Network[J]. Chinese Journal of Lasers, 2015, 42(11): 1115001.

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