Pollution Situation Analysis of 3 Mycotoxins in Poultry Compound Feeds from South China
The aim of this study was to provide data support for the risk assessment of mycotoxins by analyzing the contamination of sterigmatocystin(STC),ochratoxin A(OTA)and zearalenone(ZEA)in poultry com-pound feeds from South China.A total of 232 poultry compound feeds were collected from South China(Guangdong Province,Hainan Province,Guangxi Zhuang Autonomous Region).The samples were extracted with methanol containing 20％water.After salted out with sodium chloride and anhydrous magnesium sulfate,2-propylaminoethylamine(PSA)and C18 were added to adsorb impurities.The supernatant was filtrated and analyzed by high performance liquid chromatography-tandem mass spectrometry(HPLC-MS/MS).Accurate quantification was achieved by matrix-matched calibration curves.Chi-square test and nonparametric test were utilized to compare the detection rate and contaminant concentration of STC,OTA and ZEA in poultry com-pound feeds from different regions.The results showed that good linear relationships were obtained in respective linear ranges and the correlation coefficients were greater than 0.99.The limit of detection ranged from 0.02 to 0.18 μg/kg and the limit of quantification ranged from 0.07 to 0.59 μg/kg,respectively.Recoveries of 3 my-cotoxins at low,medium and high spiked levels were ranged from 83.0％to 98.9％.Precisions were ranged from 0.8％to 8.2％,with intra-day precision and inter-day precision less than 20％.Among 232 poultry com-pound feed samples,ZEA had the highest detection rate(100.0％),followed by STC(70.3％)and OTA(22.0％).The STC detection rate of sample from Hainan Provine was significantly higher than that from other regions(P＜0.05).In conclusion,the method developed in this experiment is simple,sensitivity and suitable for the simultaneous detection and analysis of mycotoxins in feeds.Although the overall contamination level is low,the mycotoxins pollution of feed in South China is widespread,that should be pay attention to.[Chinese Journal of Animal Nutrition,2024,36(1):672-680]
万方数据
维普
