Literature DB >> 28124755

Identification and quantification of nitrofurazone metabolites by ultraperformance liquid chromatography-quadrupole time-of-flight high-resolution mass spectrometry with precolumn derivatization.

Shuai Zhang1,2, PeiPei Li1, Zhongyong Yan1, Ju Long1, Xiaojun Zhang3.   

Abstract

An ultraperformance liquid chromatography-quadrupole time-of-flight high-resolution mass spectrometry method was developed and validated for the determination of nitrofurazone metabolites. Precolumn derivatization with 2,4-dinitrophenylhydrazine and p-dimethylaminobenzaldehyde as an internal standard was used successfully to determine the biomarker 5-nitro-2-furaldehyde. In negative electrospray ionization mode, the precise molecular weights of the derivatives were 320.0372 for the biomarker and 328.1060 for the internal standard (relative error 1.08 ppm). The matrix effect was evaluated and the analytical characteristics of the method and derivatization reaction conditions were validated. For comparison purposes, spiked samples were tested by both internal and external standard methods. The results show high precision can be obtained with p-dimethylaminobenzaldehyde as an internal standard for the identification and quantification of nitrofurazone metabolites in complex biological samples. Graphical Abstract A simplified preparation strategy for biological samples.

Entities:  

Keywords:  2,4-Dinitrophenylhydrazine; 5-Nitro-2-furaldehyde; Nitrofurazone metabolites; Ultraperformance liquid chromatography–quadrupole time-of-flight high-resolution mass spectrometry; p-Dimethylaminobenzaldehyde

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Year:  2017        PMID: 28124755     DOI: 10.1007/s00216-017-0191-3

Source DB:  PubMed          Journal:  Anal Bioanal Chem        ISSN: 1618-2642            Impact factor:   4.142


  1 in total

1.  Determination of 5-nitro-2-furaldehyde as marker residue for nitrofurazone treatment in farmed shrimps and with addressing the use of a novel internal standard.

Authors:  Qiang Wang; Xu-Feng Wang; Yong-Yuan Jiang; Zhi-Guang Li; Nan Cai; Wan-Qi Guan; Ke Huang; Dong-Hao Zhao
Journal:  Sci Rep       Date:  2019-12-17       Impact factor: 4.379

  1 in total

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