LCMS
More information
WebinarsAbout usContact usTerms of use
LabRulez s.r.o. All rights reserved. Content available under a CC BY-SA 4.0 Attribution-ShareAlike

Determination of nitrofuran metabolite residues in shrimp by LC-MS/MS (ASMS)

Posters | 2023 | Shimadzu | ASMSInstrumentation
LC/MS, LC/MS/MS, LC/QQQ
Industries
Food & Agriculture
Manufacturer
Shimadzu

Summary

Importance of Topic


Detection of nitrofuran metabolites in seafood is critical for ensuring consumer safety and regulatory compliance. Nitrofuran antibiotics have been banned in many countries due to their potential health risks. Highly sensitive analytical methods are required to monitor trace residues of their metabolites in shrimp and other aquatic products.

Study Objectives and Overview


This work describes the development and validation of a rapid LC-MS/MS method to quantify four nitrofuran metabolites (AOZ, AMOZ, AHD, SEM) in shrimp. The goal was to achieve low detection limits, high accuracy, and reproducible results suitable for routine screening and regulatory analysis.

Methodology and Instrumentation


Sample Preparation:
  • 2 g shrimp homogenate spiked with internal standards
  • Acidic hydrolysis and derivatization with 2-nitrobenzaldehyde at 37 °C for 16 h
  • Neutralization, extraction with ethyl acetate, centrifugation and nitrogen evaporation
  • Reconstitution in mobile phase and filtration (0.22 µm)

Chromatography:
  • UHPLC: Nexera LC-40 with Shim-pack GISS C18 (100×2.1 mm, 1.9 µm)
  • Mobile phase A: 0.002 M ammonium acetate; B: methanol; gradient from 10% to 95% B over 4 min and total run time of 8 min
  • Flow rate 0.35 mL/min, column temperature 35 °C

Mass Spectrometry:
  • Shimadzu LCMS-8045 triple quadrupole with ESI in positive MRM mode
  • MRM transitions optimized for each metabolite and corresponding isotopic internal standards
  • LabSolutions MRM Connect used for automated ion source parameter optimization

Main Results and Discussion


Calibration and Sensitivity:
  • Linear response for 0.5–20 µg/L, correlation coefficients > 0.999
  • Limits of detection between 0.06 and 0.11 ng/mL
Repeatability:
  • Retention time RSD: 0.08–0.13%
  • Peak area RSD: 0.89–9.28%
Recovery:
  • Spiking at 1, 5 and 10 µg/kg in blank shrimp gave recoveries of 82.3–112.7% with RSD below 8.5%
Real Sample Analysis:
  • No nitrofuran metabolites were detected in three commercial shrimp samples

Benefits and Practical Application


This method combines high throughput (8 min per run) with ppb-level sensitivity and robust quantitation. It is suitable for routine QA/QC in food safety laboratories and supports regulatory monitoring of banned nitrofuran residues in seafood.

Future Trends and Possibilities


Further developments may include:
  • Extension to other seafood and complex food matrices
  • Integration with high-resolution mass spectrometry for non-target screening
  • Automated sample preparation and miniaturized platforms for field analysis
  • Simultaneous multi-residue methods covering a broader range of veterinary drug metabolites

Conclusion


A sensitive, rapid and reliable LC-MS/MS method was established for four nitrofuran metabolites in shrimp. The approach offers excellent linearity, precision, accuracy and can be adopted by laboratories for compliance testing and consumer safety assurance.

Content was automatically generated from an orignal PDF document using AI and may contain inaccuracies.

Downloadable PDF for viewing
 

Similar PDF

Toggle
Determination of nitrofuran metabolite residues in shrimp by LC-MS/MS
MP 209 Determination of nitrofuran metabolite residues in shrimp by LC-MS/MS Dan Luo1; Qiang Li2; Hongyuan Hao2; Taohong Huang2 1Shimadzu (China) Co., LTD, Wuhan, China; 2Shimadzu(China)Co., LTD, Shanghai, China 1. Overview In this paper, a method for the determination of…
Key words
ahd, ahdaoz, aozamoz, amozsem, semnitrofuran, nitrofuranarea, areametabolite, metaboliteratio, ratiomrm, mrmcompound, compoundrsd, rsdratios, ratiostransition, transitionshrimp, shrimpultra
Highly Selective Detection and Identification of Nitrofuran Metabolites in Honey Using LC-MS/MS
Application Note: 358 Highly Selective Detection and Identification of Nitrofuran Metabolites in Honey Using LC-MS/MS Eduardo Matus,1 Jean-Jacques Dunyach,2 Alejandro Albornoz3; 1 Food Science Laboratories, Buenos Aires, Argentina; 2Thermo Fisher Scientific, San Jose, CA; 3Eidomet, Buenos Aires, Argentina Key Words…
Key words
area, areappb, ppbahd, ahdnitrofurans, nitrofuransaoz, aozistd, istdamoz, amoznitrofuran, nitrofuranhoney, honeydiff, difflevel, levelratio, ratiocalculated, calculatedequation, equationmetabolites
Determination of the Derivatives of Nitrofuran Metabolites in Marine Products by Ultra High Performance Liquid Chromatography / Triple Quadrupole Mass Spectrometry
PO-CON1338E Determination of the Derivatives of Nitrofuran Metabolites in Marine Products by Ultra High Performance Liquid Chromatography / Triple Quadrupole Mass Spectrometry ASMS 2013 TP-742 Xiongxiong Qiu, Jinting Yao, Song Zhan, Taohong Huang, Shin-ichi Kawano, Yuki Hashi, Shimadzu Global COE,…
Key words
nitrofuran, nitrofuranmarine, marinederivatives, derivativesmetabolites, metabolitesahd, ahdaoz, aozamoz, amozsem, semultra, ultratriple, tripleproducts, productsspectrometry, spectrometryquadrupole, quadrupoleliquid, liquidperformance
Determination of the Metabolites of Nitrofuran Antibiotics  in Animal Tissues and Food Products by UPLC-MS/MS
[ APPLICATION NOTE ] Determination of the Metabolites of Nitrofuran Antibiotics in Animal Tissues and Food Products by UPLC-MS/MS Simon Hird1 and Richard Ginn 2 1 Waters Corporation, Wilmslow, UK; 2 Fera Science Ltd, York, UK APPLICATION BENEFITS INTRODUCTION Specific,…
Key words
min, minnitrofuran, nitrofurantissues, tissuesuplc, uplcantibiotics, antibioticsmetabolites, metabolitesanimal, animalxevo, xevofood, foodnitrofurans, nitrofuransbound, boundresidual, residualmicro, microdetermination, determinationresponse
Other projects
GCMS
ICPMS
Follow us
More information
WebinarsAbout usContact usTerms of use
LabRulez s.r.o. All rights reserved. Content available under a CC BY-SA 4.0 Attribution-ShareAlike