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Related Experiment Video

Updated: Oct 13, 2025

High-throughput and Comprehensive Drug Surveillance Using Multisegment Injection-Capillary Electrophoresis-Mass Spectrometry
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Fully Automatic Multi-Class Multi-Residue Analysis of Veterinary Drugs Simultaneously in an Integrated Chip-MS

Minmin Tang1,2, Chenchen Zhang1, La Ta1

  • 1State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210023, China.

Journal of Agricultural and Food Chemistry
|November 15, 2021
PubMed
Summary
This summary is machine-generated.

A novel microfluidic chip system enables rapid, automated analysis of 23 veterinary drug residues in milk using chip-mass spectrometry (chip-MS). This technology offers high sensitivity and recovery rates for potential point-of-care testing.

Keywords:
MSfully automaticmatrix effectmicrofluidic chipmulti-class multi-residuepervaporation

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Area of Science:

  • Analytical Chemistry
  • Biotechnology
  • Food Science

Background:

  • Microfluidic chip analysis offers advantages like high integration, speed, and automation.
  • It is widely applied in biological fields, agriculture, and food safety analysis.

Purpose of the Study:

  • To develop a fully automated microfluidic chip-mass spectrometry (chip-MS) platform for simultaneous multi-class, multi-residue analysis of veterinary drugs in milk.

Main Methods:

  • An integrated microfluidic chip platform was designed, incorporating extraction/filtration, clean-up, and online evaporation modules.
  • The chip was coupled to a mass spectrometry detector for simultaneous qualitative and quantitative analysis.
  • Analysis was performed without chromatographic separation.

Main Results:

  • The system successfully detected 23 veterinary drug residues across five classes in spiked milk samples.
  • Limits of detection ranged from 0.23-4.13 ng/mL.
  • Recovery rates were between 71.7% and 118.0% under optimized conditions.

Conclusions:

  • The developed microfluidic chip system provides a novel approach for veterinary drug residue detection in milk.
  • This technology shows significant potential for point-of-care testing applications in the dairy industry.