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应当使用何种细菌致死浓度 50(LC(50))作为标准?

Which value should be used as the lethal concentration 50 (LC(50)) with bacteria?

机构信息

Department of Botany, B. J. B. Autonomous College, Bhubaneswar, 751014, Orissa, India.

出版信息

Interdiscip Sci. 2011 Jun;3(2):138-43. doi: 10.1007/s12539-011-0081-x. Epub 2011 May 4.

Abstract

Computations of lethal concentration 50 (LC(50)) of a data-set of a toxicity study on an herbicide against a cyanobacterium were performed by general linear regression, Spearman-Karber and probit transformation methods, for evaluation of the methods used. It is shown that the linear regression method yields some faulty LC(50) value, while both of Spearman-Karber and probit methods yield similar and statistically respectable LC(50) values. In the Spearman-Karber method, a prerequisite of some uniform dose-interval of test-chemical and tiring calculations were involved. But, the probit method is less tiring and additionally computed LC(25) and LC(75) values help assess the solicited accuracy of the LC(50) value and other test-statistics, including minimum inhibitory concentration (MIC), highest-permissive concentration (HPC), and a few more with respect to lethal concentration 100 (LC(100)) without prerequisite of any uniform dose-interval of test-chemical. Further, the redundancy of computations of standard error (SE) and 95% confidence limits (CL) of the LC(50) value is suggested, as CL values are so wide to spoil LC(50) accuracy that is solicited in toxicology.

摘要

采用线性回归、斯皮尔曼-卡尔贝(Spearman-Karber)和概率单位转换方法对除草剂毒性研究数据集的致死浓度 50(LC(50))进行了计算,以评估所用方法。结果表明,线性回归方法得出的某些 LC(50)值存在误差,而斯皮尔曼-卡尔贝和概率单位转换方法得出的 LC(50)值相似且具有统计学意义。在斯皮尔曼-卡尔贝方法中,需要满足测试化学物质均匀剂量间隔的前提条件,并且计算过程繁琐。但是,概率单位转换方法计算量较小,并且可以计算 LC(25)和 LC(75)值,有助于评估 LC(50)值和其他测试统计数据的准确性,包括最小抑制浓度(MIC)、最高允许浓度(HPC),以及与致死浓度 100(LC(100))相关的更多数据,而无需测试化学物质的均匀剂量间隔。此外,建议对 LC(50)值的标准误差(SE)和 95%置信区间(CL)的计算进行冗余处理,因为 CL 值过于宽泛,会降低毒理学中所需的 LC(50)值的准确性。

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