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首页> 外文期刊>Optik: Zeitschrift fur Licht- und Elektronenoptik: = Journal for Light-and Electronoptic >Quantitative analysis of alum based on Terahertz time-domain spectroscopy technology and Support vector machine
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Quantitative analysis of alum based on Terahertz time-domain spectroscopy technology and Support vector machine

机译：基于太赫兹时域光谱技术和支持向量机的明矾定量分析

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摘要

In this paper, the Terahertz time-domain spectroscopy (THz-TDS) technique was used to quantitatively analyze the alum proportion in sweet potato starch. Terahertz time-domain spectra and frequency-domain spectra of pure sweet potato starch and pure alum and their mixtures were obtained. The absorption coefficient spectrum and refractive index spectrum of the samples were calculated. Results show that alum exhibit unique absorption peaks in the terahertz range, and can thus be identified with its absorption fingerprints in the detection from Sweet potato starch. Differences in the refractive index can also be observed between the alum and the sweet potato starch. The Partial Least Squares (PLS) and the Support vector machine (SVM) algorithm were used to establish the mathematical model between the absorption coefficient and the proportion. Results show that the prediction accuracy can reach 99.8% and 99.9%. Comparing the two predictive models, SVM has a better prediction effect. In all, the THz-TDS system plus SVM method is very promising for the further quantitative analysis of alum in sweet potato starch, with the characteristics of being nondestructive and laborsaving compared to other analytical tools.
机译：在本文中，用于定量分析甘薯淀粉中的明矾比例的太赫兹时域光谱（Thz-TDS）技术。得到了纯甘薯淀粉和纯明矾的太赫兹时域光谱和频域光谱及其混合物。计算样品的吸收系数谱和折射率谱。结果表明，明矾在太赫兹范围内表现出独特的吸收峰，因此可以用其吸收指纹鉴定在来自甘薯淀粉的检测中。在Alum和甘薯淀粉之间也可以观察到折射率的差异。部分最小二乘（PLS）和支持向量机（SVM）算法用于在吸收系数和比例之间建立数学模型。结果表明，预测精度可达到99.8％和99.9％。比较两个预测模型，SVM具有更好的预测效果。总而言之，THz-TDS系统加SVM方法非常有希望在甘薯淀粉中进一步定量分析明矾，其特点是与其他分析工具相比无损和锻造的特点。

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