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04.01.2024 | Original Paper

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

verfasst von: Tatsuki Kitazoe, Chisato Usui, Eiichi Kodaira, Takuro Maruyama, Noriaki Kawano, Hiroyuki Fuchino, Kazuhiko Yamamoto, Yasushi Kitano, Nobuo Kawahara, Kayo Yoshimatsu, Tatsuya Shirahata, Yoshinori Kobayashi

Erschienen in: Journal of Natural Medicines | Ausgabe 2/2024

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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.

Graphical abstract

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Titel: Improved quantitative analysis of tenuifolin using hydrolytic continuous-flow system to build prediction models for its content based on near-infrared spectroscopy
verfasst von: Tatsuki Kitazoe
Chisato Usui
Eiichi Kodaira
Takuro Maruyama
Noriaki Kawano
Hiroyuki Fuchino
Kazuhiko Yamamoto
Yasushi Kitano
Nobuo Kawahara
Kayo Yoshimatsu
Tatsuya Shirahata
Yoshinori Kobayashi
Publikationsdatum: 04.01.2024
Verlag: Springer Nature Singapore
Erschienen in: Journal of Natural Medicines / Ausgabe 2/2024
Print ISSN: 1340-3443
Elektronische ISSN: 1861-0293
DOI: https://doi.org/10.1007/s11418-023-01764-0

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Original Paper

Springer Medizin

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

Abstract

Graphical abstract

Weitere Artikel der Ausgabe 2/2024

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Abstract

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Vincazalidine A, a unique bisindole alkaloid from Catharanthus roseus

Phytohemagglutinin from Phaseolus vulgaris enhances the lung cancer cell chemotherapy sensitivity by changing cell membrane permeability

Linderapyrone analogue LPD-01 as a cancer treatment agent by targeting importin7

Evodiamine inhibits growth of vemurafenib drug-resistant melanoma via suppressing IRS4/PI3K/AKT signaling pathway

Study on the mechanism of Panax notoginseng–Salvia miltiorrhiza herb pair on invigorating blood circulation and eliminating blood stasis by blocking the conversion of arachidonic acid to prostaglandin

Upregulation of tumor suppressor PIAS3 by Honokiol promotes tumor cell apoptosis via selective inhibition of STAT3 tyrosine 705 phosphorylation