JOURNAL OF LIGHT INDUSTRY

CN 41-1437/TS  ISSN 2096-1553

Volume 39 Issue 2
April 2024
Article Contents
    LI Pao, TAN Huizhen, XIE Shue, et al. Traceability analysis of Pericarpium Citri Reticulatae Viride origin based on near infrared spectroscopy technology and supervised pattern recognition[J]. Journal of Light Industry, 2024, 39(2): 54-59. doi: 10.12187/2024.02.007
    Citation: LI Pao, TAN Huizhen, XIE Shue, et al. Traceability analysis of Pericarpium Citri Reticulatae Viride origin based on near infrared spectroscopy technology and supervised pattern recognition[J]. Journal of Light Industry, 2024, 39(2): 54-59. doi: 10.12187/2024.02.007 shu

    Traceability analysis of Pericarpium Citri Reticulatae Viride origin based on near infrared spectroscopy technology and supervised pattern recognition

    • 1. College of Food Science and Technology, Hunan Agricultural University, Changsha 410128, China;

    • 2. Hunan Agricultural Product Processing Institute, Hunan Academy of Agricultural Sciences, Changsha 410125, China;

    • 3. Guangdong Provincial Key Laboratory of Utilization and Conservation of Food and Medicinal Resources in Northern Region, Shaoguan 512005, China;

    • 4. Hunan Provincial Institute of Quality Supervision and Inspection of Product, Changsha 410007, China

    • Received Date: 2023-03-21
      Accepted Date: 2023-05-16
    • Spectral data of the outer wall and inner capsule of Pericarpium Citri Reticulatae Viride from different regions (Anhui, Guangdong, and Sichuan) were collected with portable near infrared spectrometer. Multiple interferences in the spectra were eliminated using single and combined pretreatment methods. Pattern recognition methods such as principal component analysis (PCA), cluster independent soft pattern classification (SIMCA) and Fisher linear discriminant analysis (FLDA) were used to establish traceability models of Pericarpium Citri Reticulatae Viride origin. The results showed that spectral pretreatment could eliminate the interferences of baseline drift, background, and spectral peak overlap to a certain extent. However, the traceability analysis of the origin couldn't be achieved. Among the three pattern recognition methods, accurate traceability analysis of Pericarpium Citri Reticulatae Virid couldn't be achieved with PCA method. The whole identification rate of SIMCA model with the outer wall and inner capsule original spectra were 99.14 % and 98.28 %, respectively. The whole identification rates of FLDA models were both 99.57 %, better than that of SIMCA models. The identification rates of SIMCA and FLDA models with appropriate spectral pretreatment were 100 %. Therefore, portable near infrared spectroscopy technology combined with the supervised pattern recognition methods can achieve non-destructive traceability analysis of Pericarpium Citri Reticulatae Viride origin, expanding a new way for the traceability analysis of food and drug homologous substances origin.
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