Ganguli A K, Hemalatha R, Narayanan B
Indian J Physiol Pharmacol. 1986 Oct-Dec;30(4):313-8.
Blood lactate assays are now widely used as measures of oxygen debt, especially in the areas of assessment of anaerobic power; assessment of fatigue; VO2(max) end-point determination, and rationalisation of work-rest cycles. A need exists for a method which will meet the following criteria: simplicity--single, small samples; rapidity, and feasibility with easily available instrument and chemicals. In order to develop such a method, the standard Barker and Summerson method was modified so as to use 0.02 ml of blood sample, and the following tests were carried out on 25 subjects at rest, and various levels of work: paired comparisons on analysis by macro and micro methods on the same sample of blood; paired comparisons on venous and capillary (fingertip) samples. In both cases, the paired values showed high correlation (0.99) and highly significant differences of means (P = 0.01 and 0.001, respectively). The regression equations obtained were also highly significant (P = 0.001). The combined equation was Y = 0.9655 X -0.4366; samples taken 2,4,5,6 and 10 mins after work showed that peak occurred in the 4th min sampling (2 vs 4 and 4 vs 6 min means significantly different at P = 0.05, and analysis of variance significant at (P = 0.001). It may be concluded that drawing, fingertip sample 4 mins after the end of work, analysing by the micro method, and using the regression equation will give the true peak blood lactate level, and satisfy the systems criteria defined.
血液乳酸测定现在被广泛用作评估氧债的指标,尤其是在无氧功率评估、疲劳评估、最大摄氧量终点测定以及工作 - 休息周期合理化等领域。需要一种满足以下标准的方法:操作简单——只需少量单一样本;检测快速,并且使用易于获得的仪器和化学试剂即可实现。为了开发这样一种方法,对标准的巴克和萨默森方法进行了改进,以便使用0.02毫升血液样本,并对25名处于休息状态以及不同工作强度下的受试者进行了以下测试:对同一份血液样本采用宏观和微观方法进行分析的配对比较;对静脉血和毛细血管(指尖)样本进行配对比较。在这两种情况下,配对值均显示出高度相关性(0.99)以及均值的高度显著差异(分别为P = 0.01和0.001)。所获得的回归方程也具有高度显著性(P = 0.001)。合并后的方程为Y = 0.9655X - 0.4366;在工作后2、4、5、6和10分钟采集的样本显示,峰值出现在第4分钟采样时(2分钟与4分钟以及4分钟与6分钟的均值在P = 0.05时差异显著,方差分析在P = 0.001时显著)。可以得出结论,在工作结束后4分钟采集指尖样本,采用微观方法进行分析,并使用回归方程,将能得出真实的血液乳酸峰值水平,并满足所定义的系统标准。