AI Article Synopsis

  • The study focuses on assessing data repeatability in small-molecule metabolites using three high-resolution liquid chromatography-mass spectrometry (LC-MS) platforms to enhance data sharing in natural products research.
  • It evaluates the performance of Agilent 6550 QTOF, Waters Vion IM-QTOF, and Thermo Scientific Orbitrap Exploris 120 using 68 ginsenoside references and Panax ginseng leaf extracts, demonstrating stable retention times across different platforms.
  • The findings indicate that despite the platforms' varying mass analyzers, they consistently provide accurate mass determinations and improved resolution thanks to ion mobility separation, aiding researchers in choosing suitable analytical methods for their studies.

Article Abstract

The measurement of data repeatability in small-molecule metabolites acquired within and among different liquid chromatography-mass spectrometry (LC-MS) platforms is crucial for data sharing or data transfer in natural products research. This work was designed to investigate and evaluate the separation and detection performance of three commercial high-resolution LC-MS platforms (e.g., Agilent 6550 QTOF, Waters Vion IM-QTOF, and Thermo Scientific Orbitrap Exploris 120) using 68 ginsenoside references and the extract of Panax ginseng leaf. The retention time (t), measured on these three platforms (under the same chromatography condition), showed good stability in different concentration tests, and within/among different instruments for both intra-day and inter-day precision examinations. Correlation in t of ginsenosides was also highly determined on these three platforms. In spite of the different mass analyzers involved, these three platforms gave the accurate mass determination ability, especially enhanced resolution gained because of the ion mobility (IM) separation facilitated by IM-quadrupole time-of-flight. The current study has systematically evaluated the separation and MS detection performance enabled by three high-resolution LC-MS platforms taking ginsenosides as the template, and the reported findings can benefit the researchers for the selection of analytical platforms and the purpose of data sharing or data transfer.

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Source
http://dx.doi.org/10.1002/jssc.202400354DOI Listing

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