Duan Ya-Li, Su Rong-Guo, Shi Xiao-Yong, Zhang Cui
Key Laboratory of Marine Chemistry Theory and Technology, Ministry of Education, Ocean University of China, Qingdao 266100, China.
Guang Pu Xue Yu Guang Pu Fen Xi. 2012 Jun;32(6):1562-9.
Three-dimensional fluorescence of 17 red tide algae species that belong to 13 genera of five divisions was measured by fluorescence excitation-emission matrix spectroscopy. And 2-D wavelet db7 was selected to decompose the spectra at different levels to choose the alternative characteristic spectra. Based on the norm reference spectra constructed by cluster analysis, the linear regression model was solved by particle swarm optimization (PSO) algorithm and the discrimination method was established at the division and genus level. Some samples were tested: for single algal samples, and the correct discrimination ratios (CDRs) were 96.1% and 73.6%, respectively; For simulative mixed algal samples, when the dominance were 60%, 75%, 80% and 90% of the total biomass, the CDRs of the dominant algae were 86.7%, 96.9%, 98.7% and 99.4% with the average relative contents of 62.6%, 72.7%, 76.0% and 81.6%, respectively at the division level. And the CDRs were 51.0%, 68.9%, 72.0%, and 78.8% at the genus level, respectively. For 364 actual mixture samples, the CDRs of the dominant species (75%) were 99.4% at the division level and 75.9% at the genus level . For the particular field samples from mesocosm experiment and corrected from Jiaozhou Bay, results showed that the method can be used to realize the identification of red tide algae population and estimate the relative abundance of different classes, especially between diatoms and dinoflagellates.
采用荧光激发 - 发射矩阵光谱法测定了隶属于5个门类13个属的17种赤潮藻的三维荧光。选用二维小波db7对光谱进行不同层次的分解，以选取特征光谱。基于聚类分析构建的标准参考光谱，采用粒子群优化（PSO）算法求解线性回归模型，建立了门类和属水平的判别方法。对部分样品进行了测试：对于单一藻类样品，正确判别率（CDR）分别为96.1%和73.6%；对于模拟混合藻类样品，当优势藻占总生物量的60%、75%、80%和90%时，门类水平上优势藻的CDR分别为86.7%、96.9%、98.7%和99.4%，平均相对含量分别为62.6%、72.7%、76.0%和81.6%；属水平上的CDR分别为51.0%、68.9%、72.0%和78.8%。对于364个实际混合样品，优势种（75%）在门类水平上的CDR为99.4%，在属水平上为75.9%。对于来自中宇宙实验并经胶州湾校正的特定现场样品，结果表明该方法可用于实现赤潮藻种群的识别，并估计不同类别的相对丰度，尤其是硅藻和甲藻之间的相对丰度。
