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A rapid method for distinguishing similar gelatins based on terahertz spectrum

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Abstract

Distinguishing similar gelatins are essential for pharmaceutical administration and therapy based on traditional Chinese medicine. Differed from the conventional studies, this study focuses on a reaction-free terahertz approach to identify gelatins made of asinine, bovine, and porcine skins. Samples in tablets form are measured by terahertz time-domain spectroscopy and the calculated optical parameters are processed by a principal component analysis algorithm. Additionally, linear support vector machines are used to classify gelatin varieties and the performance is discussed with respect to the number of principal components kept for modelling. It is founded that three principal components are optimal to identify similar gelatins in a reduced feature space and the extinction coefficient is more efficient in distinguishing three different gelatins. This study proves the feasibility of THz time-domain spectroscopy in gelatin administration in traditional Chinese medicine.

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Acknowledgements

This work is supported by Major Scientific and Technological Innovation Projects in Shandong Province (2019JZZY010448), Science Foundation of Shandong Academy of Sciences for Youth (2020QN0030), and Natural Science Foundation of Shandong Province (ZR2020KF007, 2016GGX101010).

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Authors and Affiliations

  1. Institute of Automation, Qilu University of Technology, Shandong Academy of Sciences, Jinan, 250014, China

    Yizhang Li, Lingyu Liu, Ke Li, Wenqing Xu, Zhongmin Wang & Tianying Chang

  2. Key Laboratory of Laser & Infrared System, Shandong University, Ministry of Education, Qingdao, 266237, China

    Xiansheng Zhang

  3. Shandong Fupai Ejiao, Co., Ltd., Jinan, 250103, China

    Yong Wu & Hua Yang

Authors
  1. Yizhang Li
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  2. Xiansheng Zhang
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  3. Lingyu Liu
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  4. Ke Li
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  5. Wenqing Xu
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  6. Zhongmin Wang
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  7. Tianying Chang
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  8. Yong Wu
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  9. Hua Yang
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Correspondence to Tianying Chang.

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Li, Y., Zhang, X., Liu, L. et al. A rapid method for distinguishing similar gelatins based on terahertz spectrum. Eur Food Res Technol 247, 2927–2933 (2021). https://doi.org/10.1007/s00217-021-03836-5

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  • DOI: https://doi.org/10.1007/s00217-021-03836-5

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