A Nondestructive Detection Method for Mixed Veterinary Drugs in Pork Using Line-Scan Raman Chemical Imaging Technology
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This study reports a nondestructive detection method using Raman chemical imaging (RCI) technology for the simultaneous determination of multiple veterinary drugs, such as ofloxacin, chloramphenicol, and sulfadimidine, in pork. A line-scan Raman imaging system was employed to acquire images of pure veterinary drugs and pork samples containing single and mixed drugs. Raman characteristic peaks at 1623, 1353, and 1147 cm−1 were identified for ofloxacin, chloramphenicol, and sulfadimidine, respectively. An image processing method was proposed to calculate the “pixel-ratio” values in each feature image, and linear regression models for a single veterinary drug were then established between the “pixel-ratio” values and the actual concentrations. By applying the models to samples with mixed veterinary drugs, the concentrations of the three drugs were predicted with correlation coefficients of 0.978, 0.986, and 0.984. The satisfactory results indicated that along with the proposed “pixel-ratio” method, RCI technology enables the nondestructive quantitation and spatial distribution visualization of multiple veterinary drug residues.
KeywordsRaman chemical imaging Pixel-ratio Veterinary drugs Quantitative analysis Spatial distribution Pork
This research was supported by the National Key Research and Development Program (Project No. 2016YFD0401205), and Major projects of national agricultural products quality and safety risk assessment (Project No. GJFP201701504).
Compliance with Ethical Standards
Conflict of Interest
Wenxiu Wang declares that she has no conflict of interest. Chen Zhai declares that he has no conflict of interest. Yankun Peng declares that he has no conflict of interest. Kuanglin Chao declares that he has no conflict of interest.
This article does not contain any studies with human participants or animals performed by any of the authors.
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