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Improved quantitative analysis of tenuifolin using hydrolytic continuous-flow system to build prediction models for its content based on near-infrared spectroscopy

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Abstract

This study used two types of analyses and statistical calculations on powdered samples of Polygala root (PR) and Senega root (SR): (1) determination of saponin content by an independently developed quantitative analysis of tenuifolin content using a flow reactor, and (2) near-infrared spectroscopy (NIR) using crude drug powders as direct samples for metabolic profiling. Furthermore, a prediction model for tenuifolin content was developed and validated using multivariate analysis based on the results of (1) and (2). The goal of this study was to develop a rapid analytical method utilizing the saponin content and explore the possibility of quality control through a wide-area survey of crude drugs using NIR spectroscopy. Consequently, various parameters and appropriate wavelengths were examined in the regression analysis, and a model with a reasonable contribution rate and prediction accuracy was successfully developed. In this case, the wavenumber contributing to the model was consistent with that of tenuifolin, confirming that this model was based on saponin content. In this series of analyses, we have succeeded in developing a model that can quickly estimate saponin content without post-processing and have demonstrated a brief way to perform quality control of crude drugs in the clinical field and on the market.

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Funding

This work was supported by The Japan Science and Technology Agency’s Center of Innovation Program (JST COI, Grant number JPMJCE1301), and AMED (Grant No. JP18ak0101104).

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Authors and Affiliations

  1. School of Pharmacy, Kitasato University, 5-9-1 Shirokane, Minato-ku, Tokyo, 108-8641, Japan

    Tatsuki Kitazoe, Chisato Usui, Eiichi Kodaira, Tatsuya Shirahata & Yoshinori Kobayashi

  2. Division of Pharmacognosy, Phytochemistry and Narcotics, National Institute of Health Sciences, 3-25-26, Tonomachi, Kawasaki-ku, Kawasaki, Kanagawa, 210-9501, Japan

    Takuro Maruyama

  3. National Institutes of Biomedical Innovation, Health and Nutrition, 1-2 Hachimandai, Tsukuba, Ibaraki, 305-0843, Japan

    Noriaki Kawano, Hiroyuki Fuchino, Kazuhiko Yamamoto, Nobuo Kawahara & Kayo Yoshimatsu

  4. Nippon Funmatsu Yakuhin Co., Ltd, 2-5-11, Doshomachi, Chuo-ku, Osaka, 541-0045, Japan

    Yasushi Kitano

  5. The Kochi Prefectural Makino Botanical Garden, Godaisan, Kochi, 781–8125, Japan

    Nobuo Kawahara

Authors
  1. Tatsuki Kitazoe
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  12. Yoshinori Kobayashi
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Contributions

YK, KY, and NK initiated and directed the project. YK and TS designed the study conception. TM, HF, and YK collected and stored plant samples. NK and KY provided seeds of PS stored in NIB to EK, who cultivated PS in Kitasato University to provide samples No.31-42. TS and TK designed the experiments, and TK and UC conducted the experiments, analyzed, and interpreted the results. TS, TK, and YK wrote the manuscript. All authors have read and approved the final version of the article.

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Correspondence to Yoshinori Kobayashi.

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Kitazoe, T., Usui, C., Kodaira, E. et al. Improved quantitative analysis of tenuifolin using hydrolytic continuous-flow system to build prediction models for its content based on near-infrared spectroscopy. J Nat Med 78, 296–311 (2024). https://doi.org/10.1007/s11418-023-01764-0

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