Optimization of Sample Pretreatment Process for the Detection of Mercury Residues in Fish
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Abstract:
To improve the accuracy of detection for heavy metal mercury in fish and reduce the loss of mercury in the sample caused by improper sample preparation, the fish sample was pretreated by adding a mercury standard solution, and then the effects of acid removal temperature, digestion temperature, amount of hydrogen peroxide to assist digestion, and concentration of potassium borohydride on the recovery rate of mercury was investigated in the sample. On this basis, the response surface method was used to optimize the pretreatment process for fish samples. The results of significance analysis showed that the fitted model for the recovery rate and influencing factors was significant (p<0.05), with a good correlation (R2 = 95.33). Based on the verification of the reliability of the fitted model, the highest recovery rate of mercury was taken as the target for the optimization of sample pretreatment process. The results showed that the recovery rate of mercury in fish was the highest (98.9%), when the acid removal temperature, digestion temperature, hydrogen peroxide dose, and reducing agent potassium borohydride concentration were 88 ℃, 171 ℃, 1.2 mL, and 13 g/L, respectively. In summary, the optimized process for pretreating fish samples has significance for guiding practice.
