{"title":"GPC-GC-MS法测定奶粉中19种有机氯农药残留","authors":"Zhao-hui Wu, Xiao-Jin Peng, Sheng-Min Chen, Zhan-jun Zeng","doi":"10.11648/J.IJNFS.20180704.13","DOIUrl":null,"url":null,"abstract":"To establish the GPC - GC - MS detection method for determination of organochlorine pesticide residues in milk powder. After simple processing samples, concentration with multi-position concentrator, and online cleaning with GPC-GC-MS, injection into the mass spectrometer for analysis. Results showed that in the linear range of 5~100 ug/L, the correlation coefficient were >0.998, and the method detection limits (MDLs) were <0.5 ug/kg. The spiked recoveries at three levels of 10, 50, 100 ug/kg were in the range of 70 ~ 95%, the relative standard deviations (RSDs) (n=6) were<10%. This method had advantages of good accuracy and precision, simple operation, rapid, and was suitable for routine analysis.","PeriodicalId":14174,"journal":{"name":"International Journal of Nutrition and Food Sciences","volume":"31 1","pages":"129"},"PeriodicalIF":0.0000,"publicationDate":"2018-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Determination of 19 Organochlorine Pesticides Residues in Milk Powder by GPC-GC-MS\",\"authors\":\"Zhao-hui Wu, Xiao-Jin Peng, Sheng-Min Chen, Zhan-jun Zeng\",\"doi\":\"10.11648/J.IJNFS.20180704.13\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To establish the GPC - GC - MS detection method for determination of organochlorine pesticide residues in milk powder. After simple processing samples, concentration with multi-position concentrator, and online cleaning with GPC-GC-MS, injection into the mass spectrometer for analysis. Results showed that in the linear range of 5~100 ug/L, the correlation coefficient were >0.998, and the method detection limits (MDLs) were <0.5 ug/kg. The spiked recoveries at three levels of 10, 50, 100 ug/kg were in the range of 70 ~ 95%, the relative standard deviations (RSDs) (n=6) were<10%. This method had advantages of good accuracy and precision, simple operation, rapid, and was suitable for routine analysis.\",\"PeriodicalId\":14174,\"journal\":{\"name\":\"International Journal of Nutrition and Food Sciences\",\"volume\":\"31 1\",\"pages\":\"129\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-07-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Nutrition and Food Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.11648/J.IJNFS.20180704.13\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Nutrition and Food Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.11648/J.IJNFS.20180704.13","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Determination of 19 Organochlorine Pesticides Residues in Milk Powder by GPC-GC-MS
To establish the GPC - GC - MS detection method for determination of organochlorine pesticide residues in milk powder. After simple processing samples, concentration with multi-position concentrator, and online cleaning with GPC-GC-MS, injection into the mass spectrometer for analysis. Results showed that in the linear range of 5~100 ug/L, the correlation coefficient were >0.998, and the method detection limits (MDLs) were <0.5 ug/kg. The spiked recoveries at three levels of 10, 50, 100 ug/kg were in the range of 70 ~ 95%, the relative standard deviations (RSDs) (n=6) were<10%. This method had advantages of good accuracy and precision, simple operation, rapid, and was suitable for routine analysis.