三维荧光光谱结合小波压缩与交替惩罚四线性分解算法测定多环芳烃

基于三维荧光光谱结合交替惩罚四线性分解(APQLD)对痕量多环芳烃(PAHs)进行检测，实验以苊(ANA)和萘(NAP)为研究对象。首先利用小波变换对得到的三维荧光光谱数据进行压缩，以消除数据的冗余信息。分别在乙醇溶剂、甲醇溶剂以及超纯水条件下测定不同浓度的PAHs的激发-发射荧光光谱，并将其组合构建四维数据，利用APQLD对构建的四维光谱数据进行分析，并对比了PAHs在三种溶剂条件下各自的回收率。实验结果表明，用不同溶剂构建的四维数据能更准确地测定PAHs的浓度，其回收率更高；对比二阶校正以及其他四维校正算法，APQLD更能体现四维算法所具有的优越性；当因子数N=3时，ANA的回收率为96.5%~103.3%，预测均方根误差为0.04 μg·L-1；NAP的回收率为93.3%~110.0%，预测均方根误差为0.08 μg·L-1。

Three-Dimensional Fluorescence Spectroscopy Combined with Wavelet Compression and Alternate Penalty Quad Linear Decomposition for Environmental Analysis: Determination of Polycyclic Aromatic Hydrocarbons

The quantitative and quantitative analysis of trace polycyclic aromatic hydrocarbons (PAHs) was carried out based on three-dimensional fluorescence spectroscopy combined with alternating penalty four linear decomposition (APQLD). The experiment was carried out with acenaphthene (ANP) and naphthalene (ANA). First, in order to solve the redundant information of the three-dimensional fluorescence spectral data, the experimental spectral data was compressed by wavelet transform. The four-dimensional data were constructed by using the combination of excitation and emission spectra of PAHs in ethanol solvent and methanol solvent and ultrapure water respectively. The four-dimensional spectral data were analyzed by APQLD and compared with PAHs under three solvent conditions The respective recovery rate. The experimental results showed that the higher order data can be used to determine the concentration of PAHs more accurately under the three solvent conditions, and the recovery rate was higher. Compared with the second-order correction and other four-dimensional correction algorithms, APQLD can better reflect the superiority of the four-dimensional algorithm The recovery rate of ANA was 96.5%~103.3% and the predicted root mean square error was 0.04 μg·L-1. The recovery rate of NAP was 93.3%~110.0%, and the predicted root mean square error was 0.08 μg·L-1.