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[乙肝表面抗原(HBsAg)定性检测室内质量控制中对照品浓度选择方法及不同试剂批次间控制图的连续性]

[Selecting methods of controls concentration for internal quality control and continuity of control chart between different reagent lots for HBsAg qualitative detection].

作者信息

Li Jin-ming, Zheng Huai-jing, Wang Lu-nan, Deng Wei

机构信息

National Center for Clinical Laboratory, Beijing 100730, China.

出版信息

Zhonghua Gan Zang Bing Za Zhi. 2003 Apr;11(4):228-31.

Abstract

OBJECTIVE

To establish a model for one choosing controls with a suitable concentration for internal quality control (IQC) with qualitative ELISA detection, and a consecutive plotting method on Levey-Jennings control chart when reagent kit lot is changed.

METHODS

First, a series of control serum with 0.2, 0.5, 1.0, 2.0 and 5.0ng/ml HBsAg respectively were assessed for within-run and between-run precision according to NCCLs EP5 document. Then, a linear regression equation (y=bx + a) with best correlation coefficient (r > 0.99) was established based on S/CO values of the series of control serum. Finally, one could choose controls with S/CO value calculated from the equation (y = bx + a) minus the product of the S/CO value multiplying three-fold between-run CV to be still more than 1.0 for IQC use. For consecutive plotting on Levey-Jennings control chart when ELISA kit lot was changed, the new lot kits were used to detect the same series of HBsAg control serum as above. Then, a new linear regression equation (y2 = b2x2 + a2) with best correlation coefficient was obtained. The old one (y1 =b1x1 + a1) could be obtained based on the mean values from above precision assessment. The S/CO value of a control serum detected by new lot kit could be changed to that detected by old kit lot based on the factor of y2/y1. Therefore, the plotting on primary Levey-Jennings control chart could be continued.

RESULTS

The within-run coefficient of variation CV of the ELISA method for control serum with 0.2, 0.5, 1.0, 2.0 and 5.0ng/ml HBsAg were 11.08%, 9.49%, 9.83%, 9.18% and 7.25%, respectively, and between-run CV were 13.25%, 14.03%, 15.11%, 13.29% and 9.92%. The linear regression equation with best correlation coefficient from a test at random was y = 3.509x + 0.180. The suitable concentration of control serum for IQC could be 0.5ng/ml or 1.0ng/ml. The linear regression equation from the old lot and other two new lots of the ELISA kits were y1 = 3.550(x1) + 0.226, y2 = 3.238(x2) +0.388, and y3 =3.428(x3) + 0.148, respectively. Then, the transferring factors of 0.960 (y2/y1) and 0.908 (y3/y1) were obtained.

CONCLUSION

The results shows that the model established for IQC control serum concentration selecting and for consecutive plotting on control chart when the reagent lot is changed is effective and practical.

摘要

目的

建立一种用于定性酶联免疫吸附测定(ELISA)检测中选择合适浓度内部质量控制(IQC)对照品的模型,以及在试剂试剂盒批次更换时在Levey-Jennings控制图上进行连续绘图的方法。

方法

首先,根据美国国家临床实验室标准委员会(NCCLs)EP5文件,对分别含有0.2、0.5、1.0、2.0和5.0 ng/ml乙肝表面抗原(HBsAg)的一系列对照血清进行批内和批间精密度评估。然后,基于该系列对照血清的S/CO值建立具有最佳相关系数(r>0.99)的线性回归方程(y = bx + a)。最后,可选择根据该方程(y = bx + a)计算出的S/CO值减去S/CO值乘以三倍批间变异系数(CV)的乘积仍大于1.0的对照品用于IQC。当ELISA试剂盒批次更换时,在Levey-Jennings控制图上进行连续绘图,使用新批次试剂盒检测上述相同系列的HBsAg对照血清。然后,获得具有最佳相关系数的新线性回归方程(y2 = b2x2 + a2)。基于上述精密度评估的平均值可得到旧的方程(y1 = b1x1 + a1)。新批次试剂盒检测的对照血清的S/CO值可根据y2/y1因子转换为旧批次试剂盒检测的S/CO值。因此,可继续在原始Levey-Jennings控制图上绘图。

结果

ELISA方法对含有0.2、0.5、1.0、2.0和5.0 ng/ml HBsAg的对照血清的批内变异系数(CV)分别为11.08%、9.49%、9.83%、9.18%和7.25%,批间CV分别为13.25%、14.03%、15.11%、13.29%和9.92%。随机一次检测得到的具有最佳相关系数的线性回归方程为y = 3.509x + 0.180。用于IQC的对照血清合适浓度可为0.5 ng/ml或1.0 ng/ml。ELISA试剂盒旧批次以及另外两个新批次的线性回归方程分别为y1 = 3.550(x1) + 0.226、y2 = 3.238(x2) + 0.388和y3 = 3.428(x3) + 0.148。然后,得到转移因子0.960(y2/y1)和0.908(y3/y1)。

结论

结果表明,所建立的用于IQC对照血清浓度选择以及在试剂批次更换时在控制图上进行连续绘图的模型是有效且实用的。

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