| Based on the current standard method,A efficient and optimal High performance liquid chromatography-ultraviolet method was established,which was used to detect and assay 10 additives simultaneously.And this method was used to sample and assay the food additives within candied fruits at Handan region.Then the analysis result could determine whether candied fruits was safe or not.1.According to optimizing chromatographic and preliminary treatment conditions,the HPLC-UV method was built to detect and assay 10 additives simultaneously.Then parameter contained calibration curves,correlation coefficient,recovery rate,accuracy satisfied related standard which proved the method available.The main parameters: the water was used as extraction solvent;the extraction process without precipitating agent was proformed at 60 ℃ for 20 min;gradient elution procedure(methanol: 10 % keeping 2 min;10 %~30 %;6.7 %/min;30 %~80 %,10 %/min;80 % keeping 2 min;80 %~10 %,11.6 %/s;10 % keeping 8 min);the detection wavelength was 230 nm;the column temperature was 30 ℃.The results show that,the linear range was 0.10~50 mg/Kg,the linear correlation coefficience was greater than 0.999,the detection limit can meet the requirements of detection,reaching 0.10 mg/kg,average recovery rate: 93.6 %~104.1 %,precision RSD:0.46 %~5.70 %.2.According to optimizing chromatographic and preliminary treatment conditions,the HPLC-UV method was built to detect and assay 10 additives simultaneously.Then parameter contained calibration curves,correlation coefficient,recovery rate,accuracy satisfied related standard which proved the method available.The sampling results were as follows: the detection rate was 79.8 %,and the unqualified rate was 9.7 %.Fraction defective is mainly caused by food additives over used and out of normal range.Different types,sources,specifications and other ways were used to analyze the unqualified results,candied fruits in farmer’s market and in bulk needed more attention.And the result also provided reference for candied fruits’ sample detection in the future. |