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Updated: May 14, 2025

Rapid High-throughput Species Identification of Botanical Material Using Direct Analysis in Real Time High Resolution Mass Spectrometry
Published on: October 2, 2016
RapidMass: A Graphical Data Processing Application for Automated Species Authentication in High-Throughput Mass
Chunxiang Liu1,2, Qian Meng1, Yun Li1
1National Engineering Research Center of TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Haike Road #501, Shanghai 201203, China.
RapidMass software automates high-throughput mass spectrometry (HT-MS) data processing for species identification. This free tool offers accurate and efficient species authentication, addressing a critical need in analytical science.
Area of Science:
- Analytical Chemistry
- Computational Biology
- Bioinformatics
Background:
- High-throughput mass spectrometry (HT-MS) generates vast datasets requiring automated processing.
- Existing software solutions for species authentication using MS data are often proprietary or instrument-specific.
- There is a need for freely available, versatile software for managing and analyzing HT-MS data for species identification.
Purpose of the Study:
- To introduce RapidMass, a novel software platform for automated handling, evaluation, and management of HT-MS data.
- To provide a user-friendly, freely accessible tool for species identification and classification using mass spectrometry.
- To develop and validate specialized algorithms for accurate species authentication from diverse MS datasets.
Main Methods:
- Development of a streamlined workflow for processing spectra from various direct infusion (DI-MS), atmospheric pressure ionization (ASAP-MS), and direct analysis in real time (DART-MS) instruments.
- Implementation of three scoring algorithms for evaluating unknown samples against a database.
- Inclusion of features for peak annotation review, MS1/MS2 spectra visualization, and an expandable personal database.
Main Results:
- RapidMass demonstrated excellent performance across nine diverse datasets, processing samples in 12–20 seconds.
- Species authentication accuracy ranged from 97% to 100%, particularly for easily confused plant species.
- The software supports customized data management through an expandable personal database.
Conclusions:
- RapidMass provides an efficient, user-friendly, and freely available solution for automated HT-MS data processing and species identification.
- The software's versatility and high accuracy present significant prospects for broad applications in various scientific fields.
- RapidMass empowers researchers to create and manage personalized databases, enhancing species authentication capabilities.
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