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Nanopore analysis of salvianolic acids in herbal medicines

Author

Listed:
  • Pingping Fan

    (Nanjing University
    Nanjing University)

  • Shanyu Zhang

    (Nanjing University
    Nanjing University)

  • Yuqin Wang

    (Nanjing University
    Nanjing University
    Nanjing University
    Nanjing University Suzhou Campus)

  • Tian Li

    (Nanjing University
    Nanjing University)

  • Hanhan Zhang

    (Nanjing University
    Nanjing University)

  • Panke Zhang

    (Nanjing University)

  • Shuo Huang

    (Nanjing University
    Nanjing University)

Abstract

Natural herbs, which contain pharmacologically active compounds, have been used historically as medicines. Conventionally, the analysis of chemical components in herbal medicines requires time-consuming sample separation and state-of-the-art analytical instruments. Nanopore, a versatile single molecule sensor, might be suitable to identify bioactive compounds in natural herbs. Here, a phenylboronic acid appended Mycobacterium smegmatis porin A (MspA) nanopore is used as a sensor for herbal medicines. A variety of bioactive compounds based on salvianolic acids, including caffeic acid, protocatechuic acid, protocatechualdehyde, salvianic acid A, rosmarinic acid, lithospermic acid, salvianolic acid A and salvianolic acid B are identified. Using a custom machine learning algorithm, analyte identification is performed with an accuracy of 99.0%. This sensing principle is further used with natural herbs such as Salvia miltiorrhiza, Rosemary and Prunella vulgaris. No complex sample separation or purification is required and the sensing device is highly portable.

Suggested Citation

  • Pingping Fan & Shanyu Zhang & Yuqin Wang & Tian Li & Hanhan Zhang & Panke Zhang & Shuo Huang, 2024. "Nanopore analysis of salvianolic acids in herbal medicines," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-45543-1
    DOI: 10.1038/s41467-024-45543-1
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    References listed on IDEAS

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    1. Li-Qun Gu & Orit Braha & Sean Conlan & Stephen Cheley & Hagan Bayley, 1999. "Stochastic sensing of organic analytes by a pore-forming protein containing a molecular adapter," Nature, Nature, vol. 398(6729), pages 686-690, April.
    2. Jiao Cao & Wendong Jia & Jinyue Zhang & Xiumei Xu & Shuanghong Yan & Yuqin Wang & Panke Zhang & Hong-Yuan Chen & Shuo Huang, 2019. "Giant single molecule chemistry events observed from a tetrachloroaurate(III) embedded Mycobacterium smegmatis porin A nanopore," Nature Communications, Nature, vol. 10(1), pages 1-11, December.
    3. Masateru Taniguchi & Shohei Minami & Chikako Ono & Rina Hamajima & Ayumi Morimura & Shigeto Hamaguchi & Yukihiro Akeda & Yuta Kanai & Takeshi Kobayashi & Wataru Kamitani & Yutaka Terada & Koichiro Suz, 2021. "Combining machine learning and nanopore construction creates an artificial intelligence nanopore for coronavirus detection," Nature Communications, Nature, vol. 12(1), pages 1-8, December.
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