Burrows J L, Watson K V
Bioanalytical Department, Hoechst Pharmaceutical Research Laboratories, Walton, Milton Keynes, Bucks, UK.
J Pharm Biomed Anal. 1994 Apr;12(4):523-31. doi: 10.1016/0731-7085(94)80031-6.
Linear regression is widely used in the calibration of chromatographic assays even in conjunction with some chromatographic detectors which show significant non-linearity in their response characteristics. A calibration routine, based upon the curve y = axlnx+bx+c is presented which describes the non-linear behaviour of some chromatographic systems, including electron capture, nitrogen-phosphorus and UV photometric detectors, and gives comparable results to weighted linear regression with assays showing linear concentration versus response relationships. The ratio of the coefficients a and b in the equation allows quantification of the deviation from linearity and provides a more sensitive indicator of linearity than the correlation coefficient often quoted with linear regression.
线性回归在色谱分析的校准中被广泛应用,即使是与一些响应特性显示出显著非线性的色谱检测器联合使用时也是如此。本文提出了一种基于曲线y = axlnx + bx + c的校准程序,该程序描述了一些色谱系统的非线性行为,包括电子捕获检测器、氮磷检测器和紫外光度检测器,并在分析显示线性浓度与响应关系时,给出了与加权线性回归相当的结果。方程中系数a和b的比值允许对线性偏差进行量化,并且比线性回归中经常引用的相关系数提供了更灵敏的线性指标。