• Spectroscopy and Spectral Analysis
  • Vol. 36, Issue 7, 2098 (2016)
YAN Wei, ZENG Bo-lin, MENG Jiang, WANG Shu-mei, and LIANG Sheng-wang
Author Affiliations
  • [in Chinese]
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    DOI: 10.3964/j.issn.1000-0593(2016)07-2098-06 Cite this Article
    YAN Wei, ZENG Bo-lin, MENG Jiang, WANG Shu-mei, LIANG Sheng-wang. Study on the Identification of Gypsum Fibrosum with FTIR[J]. Spectroscopy and Spectral Analysis, 2016, 36(7): 2098 Copy Citation Text show less

    Abstract

    To establish a new identification method of Gypsum Fibrosum with FTIR and analyze different kinds of the sulfate mineral medicine with clustering method. With the use of FTIR, identify different kinds of sulfate mineral medicine, such as gypsum fibrosum, gypsum ustum and natrii sulfas , in addition, clustering method and first derivative spectra are used to analyze the intrinsic relationship in these kinds of sulfate mineral medicine. What’s more, 24 batches of Gypsum Fibrosum samples which from different production are analyzed with FTIR; then the spectrum control fingerprint with pattern is established with common peaks; at last the similarity between the simple spectrum fingerprint and the spectrum control fingerprint is calculated with angle cosine value and correlation coefficient. There are distinctions about the wave number, the peak position, the spike and the peak intensity in the infrared spectroscopy and first derivative spectra. Therefore, the sulfate mineral medicine is divided into two main regions with the based on these clusters: put the gypsum fibrosum and gypsum ustum in the same class, the natrii sulfas in the other class. Between 400 and 4 000 cm-1, the experiment showed that 24 batches of samples were more than 0.980 0. Provide a new, rapid and specificity method for identification and standard of gypsum fibrosum and build a successful cluster analysis about the sulfate mineral medicine.
    YAN Wei, ZENG Bo-lin, MENG Jiang, WANG Shu-mei, LIANG Sheng-wang. Study on the Identification of Gypsum Fibrosum with FTIR[J]. Spectroscopy and Spectral Analysis, 2016, 36(7): 2098
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