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Antibiotic analysis using Electro-Filtering Paper Spray Ionization.

Fangling Wu1, Yan-Qiu Chu1, Liang Wang1

  • 1Department of Chemistry, Laser Chemistry Institute, Collaborative Innovation Center of Chemistry for Energy Materials (iChEM), Shanghai Key Laboratory of Molecular Catalysis and Functional Material, Fudan University, Shanghai, China.

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|September 3, 2018
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Summary
This summary is machine-generated.

Electro-Filtering Paper Spray Ionization (EFSI) enables high-throughput analysis of large, unprocessed samples. This rapid method successfully detected antibiotics in animal products with high accuracy and reproducibility.

Keywords:
Antibiotic analysisElectro-filtering paper spray ionizationExtraction efficiencyHigh-throughputMass spectrometry

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Area of Science:

  • Analytical Chemistry
  • Mass Spectrometry
  • Separation Science

Background:

  • Conventional nanoESI and direct paper spray methods have limitations for analyzing large-volume unprocessed samples.
  • Efficient sample extraction and increased conductivity are crucial for effective paper spray ionization.

Purpose of the Study:

  • To evaluate the performance of the Electro-Filtering Paper Spray Ionization (EFSI) method for analyzing unprocessed samples.
  • To demonstrate EFSI's applicability for indirect, high-throughput analysis of large sample volumes.
  • To optimize EFSI parameters for enhanced extraction efficiency, particularly for antibiotic analysis.

Main Methods:

  • Utilized a rigid, electrically conductive copper filter as a substrate for sample-solvent extraction and enhanced conductivity.
  • Developed an indirect, high-throughput analysis approach suitable for large-volume unprocessed samples.
  • Optimized key parameters influencing extraction efficiency and selected appropriate solvents to modulate ion signals.

Main Results:

  • EFSI demonstrated applicability for indirect, high-throughput analysis of large-volume unprocessed samples.
  • The method allows for tunable ion signals by varying extraction solvents.
  • Successfully detected four antibiotics in egg, chicken, and chicken liver with high reproducibility (R² > 0.99) and good recoveries (75.0%-94.6%).

Conclusions:

  • The proposed EFSI-MS is an economical, rapid, and high-throughput technique for analyzing unprocessed samples.
  • EFSI is effective for both unknown and targeted extraction via mass spectrometric analysis.
  • This method overcomes limitations of conventional techniques for large-volume sample analysis.