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...
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          | Published in | Journal of the American Society for Mass Spectrometry Vol. 35; no. 9; pp. 2187 - 2196 | 
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| Main Authors | , , , , , , , | 
| Format | Journal Article | 
| Language | English | 
| Published | 
        United States
          American Chemical Society
    
        04.09.2024
     | 
| Online Access | Get full text | 
| ISSN | 1044-0305 1879-1123 1879-1123  | 
| DOI | 10.1021/jasms.4c00214 | 
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| 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, Scutellaria baicalensis Georgi and Scutellaria rehderiana 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 S. baicalensis and S. rehderiana 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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| AbstractList | 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, Scutellaria baicalensis Georgi and Scutellaria rehderiana 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 S. baicalensis and S. rehderiana 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.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, Scutellaria baicalensis Georgi and Scutellaria rehderiana 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 S. baicalensis and S. rehderiana 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. 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, Scutellaria baicalensis Georgi and Scutellaria rehderiana 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 S. baicalensis and S. rehderiana 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. 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, Georgi and 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 and 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.  | 
    
| Author | Wu, Yanpei Kang, Shuai Huang, Lieyan Wei, Feng Dong, Jing Ma, Shuangcheng Nie, Lixing Wang, Xianrui  | 
    
| AuthorAffiliation | WHO Collaborating Center for Herbal Medicine (CHN-139) National Medical Products Administration Shimadzu China Innovation Center State Key Laboratory of Drug Regulatory Science  | 
    
| AuthorAffiliation_xml | – name: Shimadzu China Innovation Center – name: State Key Laboratory of Drug Regulatory Science – name: WHO Collaborating Center for Herbal Medicine (CHN-139) – name: National Medical Products Administration  | 
    
| Author_xml | – sequence: 1 givenname: Lieyan surname: Huang fullname: Huang, Lieyan – sequence: 2 givenname: Lixing orcidid: 0000-0002-0189-7708 surname: Nie fullname: Nie, Lixing organization: WHO Collaborating Center for Herbal Medicine (CHN-139) – sequence: 3 givenname: Xianrui orcidid: 0000-0002-9793-9596 surname: Wang fullname: Wang, Xianrui organization: National Medical Products Administration – sequence: 4 givenname: Yanpei surname: Wu fullname: Wu, Yanpei organization: National Medical Products Administration – sequence: 5 givenname: Jing surname: Dong fullname: Dong, Jing organization: Shimadzu China Innovation Center – sequence: 6 givenname: Shuai surname: Kang fullname: Kang, Shuai organization: WHO Collaborating Center for Herbal Medicine (CHN-139) – sequence: 7 givenname: Feng surname: Wei fullname: Wei, Feng email: weifeng@nifdc.org.cn organization: WHO Collaborating Center for Herbal Medicine (CHN-139) – sequence: 8 givenname: Shuangcheng surname: Ma fullname: Ma, Shuangcheng email: masc@chp.org.cn organization: State Key Laboratory of Drug Regulatory Science  | 
    
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| Title | Rapid Authentication of Medicinal Plants: Exploring the Applicability of Mass Spectrometry Imaging for Species Discrimination | 
    
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