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The bacterial endotoxins test (BET) is a method used to detect or quantify endotoxins (lipo-polysaccharide, LPS) and is widely used in the quality control of parenteral medicines/vaccines and clinical dialysis fluid. It is also used in the diagnosis of endotoxemia and in detection of environment air quality control. Although BET has been adopted by most pharmacopoeias, result judgment algorithms (RJAs) of the test for interfering factors in the BET still differ between certain pharmacopoeias. We have evaluated RJAs of the test for interfering factors for the revision of BET described in the Chinese Pharmacopoeia 2010 (CHP2010).Original data from 1 748 samples were judged by RJAs of the Chinese Pharmacopoeia 2010, the Japanese Pharmacopoeia 2011 (JP2011), the European Pharmacopoeia 7.0 (EP7.0), the United States Pharmacopoeia 36 (USP36), and the Indian Pharmacopoeia 2010 (IP2010), respectively. A SAS software package was used in the statistical analysis.The results using CHP2010 and USP36, JP2011, EP7.0, and IP2010 had no significant difference (P = 0.7740). The results using CHP2010 of 1 748 samples showed that 132 samples (7.6

作者:Yusheng, Pei;Tong, Cai;Hua, Gao;Dejiang, Tan;Yuchen, Zhang;Guolai, Zhang

来源:Chinese medical journal 2014 年 127卷 15期

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作者:
Yusheng, Pei;Tong, Cai;Hua, Gao;Dejiang, Tan;Yuchen, Zhang;Guolai, Zhang
来源:
Chinese medical journal 2014 年 127卷 15期
The bacterial endotoxins test (BET) is a method used to detect or quantify endotoxins (lipo-polysaccharide, LPS) and is widely used in the quality control of parenteral medicines/vaccines and clinical dialysis fluid. It is also used in the diagnosis of endotoxemia and in detection of environment air quality control. Although BET has been adopted by most pharmacopoeias, result judgment algorithms (RJAs) of the test for interfering factors in the BET still differ between certain pharmacopoeias. We have evaluated RJAs of the test for interfering factors for the revision of BET described in the Chinese Pharmacopoeia 2010 (CHP2010).Original data from 1 748 samples were judged by RJAs of the Chinese Pharmacopoeia 2010, the Japanese Pharmacopoeia 2011 (JP2011), the European Pharmacopoeia 7.0 (EP7.0), the United States Pharmacopoeia 36 (USP36), and the Indian Pharmacopoeia 2010 (IP2010), respectively. A SAS software package was used in the statistical analysis.The results using CHP2010 and USP36, JP2011, EP7.0, and IP2010 had no significant difference (P = 0.7740). The results using CHP2010 of 1 748 samples showed that 132 samples (7.6