Related Experiment Video
Updated: Jan 16, 2026

Rapid High-throughput Species Identification of Botanical Material Using Direct Analysis in Real Time High Resolution Mass Spectrometry
Published on: October 2, 2016
Application of Graphitized Multi-Walled Carbon Nanotubes Combined with Orbitrap High-Resolution Mass Spectrometry for
Bo Zhang1, Yang Liu2, Shengnan Li3
1College of Basic Medicine, Zunyi Medical University, Zunyi 563000, China.
Abstract:
Wild mushroom poisoning is an emerging global food safety issue, especially in subtropical regions like southwestern China, where incidents are geographically clustered. Current detection methods are often time-consuming and overlook region-specific toxins. We developed a rapid, sensitive, and accurate method for the simultaneous detection of ten characteristic mushroom toxins prevalent in Guizhou, China. The method combines graphite multi-walled carbon nanotubes (G-MWCNTs) for sample preparation with Orbitrap high-resolution mass spectrometry (HRMS). Wild mushroom samples were extracted via ultrasonic-assisted methanol-water extraction, purified using G-MWCNTs, and separated on a Hypersil GOLD C18 column (100 mm × 2.1 mm, 1.9 μm). Gradient elution was performed with 0.1% formic acid + 0.01% ammonia and acetonitrile; quantification used the external standard method. The method achieved LODs of 0.005-0.2 mg/kg and LOQs of 0.015-0.6 mg/kg, with RSDs below 18.11% and excellent linearity (R2 = 0.9936-0.9989). Among 45 wild mushroom samples, toxin levels ranged from 0.032 to 445.10 mg/kg, with a detection rate of 22.22%, suggesting notable poisoning risk. This method reduces pretreatment time while ensuring high analytical performance, offering a reliable tool for rapid toxin screening and supporting regional surveillance of wild mushroom poisoning.
More Related Videos
08:56Detection of Regulated Ergot Alkaloids in Food Matrices by Liquid Chromatography-Trapped Ion Mobility Spectrometry-Time-of-Flight Mass Spectrometry
Published on: November 22, 2024
07:13Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy
Published on: February 25, 2021