Reliable and Cost‐Effective QuEChERS–UHPLC–MS/MS Method for the Simultaneous Analysis of Ten Mycotoxins in Dendrobium Officinale: A Study on Food‐Medicine Homology Quality Control

This study developed a method for simultaneously detecting 10 mycotoxins in Dendrobium officinale using the QuEChERS technique combined with ultra-high-performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS). The method was optimized for sample purification, pretreatment, chromatographic conditions, and mass spectrometric settings. It effectively addressed the matrix effects from impurities like pigments and cellulose. The validation of the method showed good linearity (<i>R</i> <sup>2</sup> > 0.990), with limits of detection (LODs) ranging from 0.23 to 8.61 μg kg<sup>-1</sup> and limits of quantification (LOQs) from 0.77 to 28.7 μg kg<sup>-1</sup>. Average recoveries for the 10 mycotoxins ranged from 77.9% to 98.5%, with relative standard deviations (RSD) between 2.26% and 8.28%. The method demonstrated high accuracy, precision, and suitability for large-scale screening of mycotoxins in Dendrobium officinale. When applied to 84 samples, the contamination rate was 2.38%, with the main contaminants being AFB1, ZEN, and AFG1. This method provides a reliable, cost-effective approach for detecting mycotoxin contamination in traditional Chinese medicine.

Authors

Institutions

Publication Details

Journal
Journal of Analytical Methods in Chemistry
Published
2025-01-01
DOI
https://doi.org/10.1155/jamc/8995925
Citations
1
Primary Topic
Biological and pharmacological studies of plants
Type
article
Field-Weighted Citation Impact
1.39
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Reliable and Cost‐Effective QuEChERS–UHPLC–MS/MS Method for the Simultaneous Analysis of Ten Mycotoxins in Dendrobium Officinale: A Study on Food‐Medicine Homology Quality Control

Linhua Wang, Zejun Wang, Shunyuan Guo, Fei Xu et al.
1 citations
Journal of Analytical Methods in Chemistry
Biological and pharmacological studies of plants
1.39
article

Reliable and Cost‐Effective QuEChERS–UHPLC–MS/MS Method for the Simultaneous Analysis of Ten Mycotoxins in Dendrobium Officinale: A Study on Food‐Medicine Homology Quality Control

Linhua Wang, Zejun Wang, Shunyuan Guo, Fei Xu, Qing Shen, Jingjing Liang, Qingcheng Wang
article en
1 citations

Abstract

This study developed a method for simultaneously detecting 10 mycotoxins in Dendrobium officinale using the QuEChERS technique combined with ultra-high-performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS). The method was optimized for sample purification, pretreatment, chromatographic conditions, and mass spectrometric settings. It effectively addressed the matrix effects from impurities like pigments and cellulose. The validation of the method showed good linearity (<i>R</i> <sup>2</sup> > 0.990), with limits of detection (LODs) ranging from 0.23 to 8.61 μg kg<sup>-1</sup> and limits of quantification (LOQs) from 0.77 to 28.7 μg kg<sup>-1</sup>. Average recoveries for the 10 mycotoxins ranged from 77.9% to 98.5%, with relative standard deviations (RSD) between 2.26% and 8.28%. The method demonstrated high accuracy, precision, and suitability for large-scale screening of mycotoxins in Dendrobium officinale. When applied to 84 samples, the contamination rate was 2.38%, with the main contaminants being AFB1, ZEN, and AFG1. This method provides a reliable, cost-effective approach for detecting mycotoxin contamination in traditional Chinese medicine.

Journal of Analytical Methods in ChemistryVol. 2025(1)
Wenzhou Medical University (CN), Integrated Chinese Medicine (China) (HK), Hangzhou Hospital of Traditional Chinese Medicine (CN), ZheJiang Institute For Food and Drug Control (CN), Hangzhou Medical College (CN), Zhejiang Gongshang University (CN)
Openalex Percentile: Top 16%
Biological and pharmacological studies of plants
1.39
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.