期刊
JOURNAL OF APPLIED SPECTROSCOPY
卷 87, 期 4, 页码 764-772出版社
SPRINGER
DOI: 10.1007/s10812-020-01067-2
关键词
THz time-domain spectroscopy; potassium sorbate; ordinary least squares; partial least squares; partial least squares discrimination analysis
类别
资金
- Key scientific research projects of institutions of higher learning, Henan, China [18A51003]
- Ministry of Education, Zhengzhou, China
- National Natural Science Foundation [61805072]
- National Key Research and Development Program of China [2017YFD0401003]
Using the terahertz time-domain spectroscopy system (THz-TDS), the potassium sorbate content in milk powder has been investigated. Firstly, the THz time-domain spectra of the samples were transformed into frequency spectra by Fourier transform, and then, through a set of simplified formulas of the optical parameters, the THz absorption spectra and refractive index spectra were obtained. Based on the characteristic absorption peak of potassium sorbate, a quantitative analysis model of potassium sorbate in milk powder was constructed using ordinary least squares (OLS) linear regression. In the case of low content (<1%) of potassium sorbate, a special THz absorption band (0.887-1.000 THz) was selected to construct a partial least squares (PLS) model that is called Sub-PLS. In addition, for qualitative analysis, we used partial least squares discrimination analysis (PLS-DA). Experimental results show that the proposed Sub-PLS model is superior to the PLS model based on full spectrum in accuracy, and the proposed PLS-DA is superior to other nonlinear regression methods such as support vector machine and neural network.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据