Planta Med 2023; 89(14): 1286-1287
DOI: 10.1055/s-0043-1773841
Abstracts
Keynote Lectures
Monday 3rd July - Wednesday 5th July 2023

Keynote Lecture 12 “NMR chemical profiling medicinal plants with new perspectives: how to do, what to expect and where to apply”

Young Hae Choi
1   Natural Products Laboratory, Institute of Biology, Leiden University, Sylviusweg 72, 2333 BE Leiden, The Netherlands
,
Özlem Erol
,
Natali Rianika Mustafa
1   Natural Products Laboratory, Institute of Biology, Leiden University, Sylviusweg 72, 2333 BE Leiden, The Netherlands
,
Alana Kelyene Pereira
1   Natural Products Laboratory, Institute of Biology, Leiden University, Sylviusweg 72, 2333 BE Leiden, The Netherlands
,
Hocelayne Paulino Fernandes
1   Natural Products Laboratory, Institute of Biology, Leiden University, Sylviusweg 72, 2333 BE Leiden, The Netherlands
,
Hye Kyong Kim
1   Natural Products Laboratory, Institute of Biology, Leiden University, Sylviusweg 72, 2333 BE Leiden, The Netherlands
,
Robert Verpoorte
1   Natural Products Laboratory, Institute of Biology, Leiden University, Sylviusweg 72, 2333 BE Leiden, The Netherlands
,
Young Pyo Jang
2   Division of Pharmacognosy, College of Pharmacy, Kyung Hee University, Seoul 02447, Republic of Korea
› Author Affiliations
 
 

The turn of the century marked a change of paradigm in science: from hypothesis driven experiments to systems biology with observation driven experiments [1]. This change was due to the OMICS technologies that allow a holistic view on organisms under different conditions. In this approach, new hypotheses are generated based on various observed systemic data. Big Data obtained from analytical platforms, with high sensitivity and resolution, are processed and integrated with e.g., physiological data or biological activities. Data mining in databases of genome, transcriptome, proteome, and metabolome may eventually reveal new connections in signaling, metabolic and pharmacologic networks. Genome sequencing of many organisms has been launched. This opens the way to understand a plant’s resistance against pests and disease, quality control of medicinal plants, or finding novel leads for medicines from plants.

NMR- and MS-based techniques are utilized for metabolic profiling. NMR measures mixtures of compounds, MS usually measures separated compounds [2] [3]. Major difference is in quantitation. The intensity of NMR signal is based on molar concentration [4]. In MS based systems, absolute quantitation requires a calibration curve for each compound. Reproducibility of NMR is superior to MS. Our 1H NMR database of Korean medicinal plants (ca. 250 species) enables searching for features such as synergism, and bioactivity markers for quality control of herbal medicine. In combination with DNA bar coding, metabolic profiling will give us next generation tools for quality control of medicinal plants. Eventually this avoids the need for pharmacological tests to prove and quantify the biological activity.


Conflict of Interest

The authors declare no conflict of interest.


Publication History

Article published online:
16 November 2023

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