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使用峰面积法预测紫外光谱上的红移。

Predicting the redshift on the ultraviolet spectrum using the peak area method.

作者信息

Tong Angxin, Tang Xiaojun, Zhang Feng, Wang Bin

出版信息

Appl Opt. 2020 Mar 1;59(7):1823-1833. doi: 10.1364/AO.379554.

Abstract

The ultraviolet (UV) absorption peaks of NaCl, NaOH, and $\beta $β-phenylethylamine (PEA) in an aqueous solution move toward redshift. We proposed the peak area method for the quantitative analysis of PEA, NaCl, and NaOH. First, we obtained the predictable regularities of the redshift of the single component sample. Then, we obtained the regularities of the redshift of the UV spectrum for the mixture by the peak height and peak area methods. Finally, the BP-ANN algorithm was applied to determine the concentration of the mixture using the peak height and peak area method. The results of the testing set showed that correlation coefficients (${{\rm R}^2}$R) of 0.992, 0.993, and 0.992 were obtained by peak height method and 0.997, 0.998, and 0.998 were obtained by peak area method for NaCl, NaOH, and PEA, respectively. Meanwhile, the relative errors of the prediction of NaCl, NaOH, and PEA obtained by peak area method were less than 3%, whereas the REP of NaCl, NaOH, and PEA obtained by peak height method were more than 5%. Compared with the results of the peak height method, the results showed that the peak area was more accurate than the peak height in predicting the redshift of the UV spectrum.

摘要

氯化钠(NaCl)、氢氧化钠(NaOH)和β-苯乙胺(PEA)在水溶液中的紫外(UV)吸收峰向红移。我们提出了峰面积法用于PEA、NaCl和NaOH的定量分析。首先,我们得到了单组分样品红移的可预测规律。然后,我们通过峰高法和峰面积法得到了混合物紫外光谱红移的规律。最后,应用BP-人工神经网络(BP-ANN)算法,采用峰高法和峰面积法测定混合物的浓度。测试集结果表明,对于NaCl、NaOH和PEA,峰高法得到的相关系数(${\rm R}^2$)分别为0.992、0.993和0.992,峰面积法得到的相关系数分别为0.997、0.998和0.998。同时,峰面积法对NaCl、NaOH和PEA预测的相对误差小于3%,而峰高法对NaCl、NaOH和PEA预测的相对误差大于5%。与峰高法的结果相比,结果表明在预测紫外光谱红移方面,峰面积比峰高更准确。

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