Rapid Detecting of Antibiotics Residues in Chicken Based on Synchronous Fluorescence Spectrum

被引:0
|
作者
Chen J. [1 ]
Liu M. [1 ,2 ]
Yuan H. [1 ,2 ]
Huang S. [1 ,2 ]
Zhao J. [1 ,2 ]
Xu N. [1 ]
机构
[1] Jiangxi Provincial Key Laboratory of Modern Agricultural Equipment, Jiangxi Agricultural University, Nanchang
[2] Jiangxi Provincial Collaborative Innovation Center of Key Technologies and Quality and Safety in Post-harvest Processing of Fruits and Vegetables, Jiangxi Agricultural University, Nanchang
关键词
Chicken; Doxycycline hydrochloride; Regression analysis; Sarafloxacin hydrochloride; Synchronous fluorescence spectrometry method;
D O I
10.6041/j.issn.1000-1298.2021.10.041
中图分类号
学科分类号
摘要
The feasibility of applying synchronous fluorescence technology was studied to quickly detect the residues of sarafloxacin hydrochloride (SARH) and doxycycline hydrochloride (DCH) in chicken. Firstly, the three-dimensional synchronous fluorescence spectra of SARH standard solution, DCH standard solution, chicken extract without antibiotics and chicken extract containing SARH and DCH were analyzed, and the wavelength difference Δλ of both SARH and DCH were determined as 110 nm, and the fluorescence excitation peaks of SARH and DCH were respectively determined as 320 nm and 381 nm for the detection of SARH and DCH residues in chicken. Secondly, the effects of the concentrations of magnesium sulfate solution and SDS solution, as well as time, on the fluorescence intensities through the single factor test were analyzed. The best detection conditions of SARH and DCH residues in chicken were as follows: the concentration of magnesium sulfate solution of 0.375 mol/L, the concentration of SDS solution of 0.300 mol/L and time of 12 min. Thirdly, the prediction models of SARH and DCH residues in chicken were established through the algorithms of multiple linear regression (MLR), partial least squares regression (PLSR), and support vector regression (SVR), respectively. The experimental results showed that the comprehensive evaluation of the prediction model based on the PLSR algorithm was the best among these algorithms. For the prediction model of SARH residues based on the PLSR algorithm, the RP2, RMSEP, and RPD were 0.846 5, 0.344 1 mg/kg, and 2.588 2, respectively. For the prediction model of DCH prediction based on the PLSR algorithm, the RP2, RMSEP, and RPD were 0.914 1, 5.890 9 mg/kg, and 3.243 5, respectively. The results showed that the detection of SARH and DCH residues in chicken was feasible through synchronous fluorescence technique, the implemented method was straightforward and fast, and could provide a reference for the rapid detection of SARH and DCH residues in chicken. © 2021, Chinese Society of Agricultural Machinery. All right reserved.
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页码:394 / 401
页数:7
相关论文
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