1：Experimental Design and Method Selection:

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 were identified for each drug. An image processing method was proposed to calculate the Bpixel-ratio^ values in each feature image, and linear regression models were established between the Bpixel-ratio^ values and the actual concentrations.

2：Sample Selection and Data Sources:

Fresh longissimus dorsi samples were purchased from a local supermarket in Beijing. Standards of ofloxacin, chloramphenicol, and sulfadimidine were purchased from the National Institute for Food and Drug Control.

3：List of Experimental Equipment and Materials:

A line-scan RCI system composed of a Raman imaging spectrometer, a high-performance back-illuminated CCD camera, a lens, a custom-designed 785-nm line laser, a two-axis motorized positioning table, and a computer.

4：Experimental Procedures and Operational Workflow:

Pork samples were prepared with single and mixed veterinary drugs. Raman images were acquired, and data were pre-processed for noise reduction and fluorescence background correction. The Bpixel-ratio^ method was applied for quantitative analysis.

5：Data Analysis Methods:

Linear regression models were created between the Bpixel-ratio^ values and concentrations of each veterinary drug. Statistical parameters of correlation coefficients, root mean square error of prediction, and residual predictive deviation were used to evaluate model performance.