Rapid Authentication of Medicinal Plants: Exploring the Applicability of Mass Spectrometry Imaging for Species Discrimination

In the past few years, mass spectrometry imaging (MSI) has brought many new inspirations to plant research. However, current MSI experiments usually include only a single batch of samples, casting doubts on the reproducibility of phytochemical distribution across different batches. Consequently, MSI has seldom been applied to conduct species discrimination. In this experiment, MSI was employed to discriminate between two taxonomically similar plants, <i>Scutellaria baicalensis</i> Georgi and <i>Scutellaria rehderiana</i> Diels. A new concept termed a "spatial marker" was proposed in this article, which referred to the phytochemical marker that presented both intraspecies similarity and interspecies dissimilarity. Multiple batches of <i>S. baicalensis</i> and <i>S. rehderiana</i> were analyzed using MSI, proving that the authentication protocol using spatial markers was reliable and reproducible. The observed spatial markers were further identified using on-tissue tandem mass spectrometry and liquid chromatography coupled with mass spectrometry. Additionally, the spectral data collected from MSI were utilized to set up algorithm models for species discrimination. External validation confirmed that the established random forest model was extrapolated well to unknown samples. Overall, this investigation successfully explored the analytical applicability of MSI, facilitating rapid authentication of medicinal plants.

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Publication Details

Journal
Journal of the American Society for Mass Spectrometry
Published
2024-08-20
DOI
https://doi.org/10.1021/jasms.4c00214
Citations
4
Primary Topic
Metabolomics and Mass Spectrometry Studies
Type
article
Field-Weighted Citation Impact
0.94

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article

Rapid Authentication of Medicinal Plants: Exploring the Applicability of Mass Spectrometry Imaging for Species Discrimination

Lixing Nie, Shuai Kang, Lieyan Huang, Shuang‐Cheng Ma et al.
4 citations
Journal of the American Society for Mass Spectrometry
Metabolomics and Mass Spectrometry Studies
0.94
article

Rapid Authentication of Medicinal Plants: Exploring the Applicability of Mass Spectrometry Imaging for Species Discrimination

Lixing Nie, Shuai Kang, Lieyan Huang, Shuang‐Cheng Ma, Yanpei Wu, Feng Wei, Xianrui Wang, Jing Dong
article en
4 citations

Abstract

In the past few years, mass spectrometry imaging (MSI) has brought many new inspirations to plant research. However, current MSI experiments usually include only a single batch of samples, casting doubts on the reproducibility of phytochemical distribution across different batches. Consequently, MSI has seldom been applied to conduct species discrimination. In this experiment, MSI was employed to discriminate between two taxonomically similar plants, <i>Scutellaria baicalensis</i> Georgi and <i>Scutellaria rehderiana</i> Diels. A new concept termed a "spatial marker" was proposed in this article, which referred to the phytochemical marker that presented both intraspecies similarity and interspecies dissimilarity. Multiple batches of <i>S. baicalensis</i> and <i>S. rehderiana</i> were analyzed using MSI, proving that the authentication protocol using spatial markers was reliable and reproducible. The observed spatial markers were further identified using on-tissue tandem mass spectrometry and liquid chromatography coupled with mass spectrometry. Additionally, the spectral data collected from MSI were utilized to set up algorithm models for species discrimination. External validation confirmed that the established random forest model was extrapolated well to unknown samples. Overall, this investigation successfully explored the analytical applicability of MSI, facilitating rapid authentication of medicinal plants.

Journal of the American Society for Mass SpectrometryVol. 35(9)
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), National Medical Products Administration (CN), China Banking Regulatory Commission (CN), National Institutes for Food and Drug Control (CN), Shimadzu (China) (CN)
National Natural Science Foundation of China
Reduced inequalities
Openalex Percentile: Top 26%
Metabolomics and Mass Spectrometry Studies
0.94
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