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A new method for the improvement of data production in phytochemical analysis

机译：一种提高植物化学分析数据产量的新方法

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Introduction - The use of the average analytical signal for the construction of curves by the least squares method (LSM) over the standard addition method (SAM) is widespread. It would be advantageous, however, to find a way to avoid intermediary averages, which are known to be the cause of significant increases in standard deviations (SD).Objective - To develop a protocol that uses all gathered data to create curves by LSM over SAM. To use Excelp for the estimation of y = mx + b and Rpo rather than using LSM equations for the SD of m, x and b.Methodology - The level of lead (II) in the bark (cork) of Quercus suber Linnaeus was determined using differential pulse anodic stripping voltammetry (DPASV). Three current samples were taken for each of the four standard additions. These signals were combined for adjustment by LSM. The results were compared with those obtained after averaging the current for each addition, and the expression of uncertainty in the measurements determined.Results - The new method shows an expanded uncertainty of pl 0.3321 og/g (nearly 1.42%). The difference between the results obtained by the new and the old method is 0.01 og/g (23.41 and 23.40 og/g). The limit of detection changed approximately from 4.8 to 4 og/g and the relative SD approximately from 9 to 6%.Conclusion - The absence of intermediary averages in curves improved the determination of lead (II) in cork by DPASV. Estimation of SD only with LSM equations produced results that were significantly worse. The changes are large enough to transform an apparently internally non-validated procedure (repeatability for precision) into an internally validated procedure
机译：简介-使用平均分析信号通过最小二乘法（LSM）而非标准加法（SAM）来构建曲线。然而，找到一种避免中间平均值的方法将是有利的，该平均值被认为是导致标准偏差（SD）显着增加的原因。目的-开发一种协议，该协议使用所有收集的数据通过LSM生成曲线山姆要使用Excelp估算y = mx + b和Rpo而不是使用mm，x和b的SD的LSM方程。使用差分脉冲阳极溶出伏安法（DPASV）。对于四种标准添加物中的每一种，均采集了三个当前样品。这些信号被合并以通过LSM进行调整。将结果与每次加法平均电流后获得的结果进行比较，并确定测量结果中的不确定度。结果-新方法显示出不确定度为pl 0.3321 og / g（接近1.42％）。通过新方法和旧方法获得的结果之间的差异为0.01 og / g（23.41和23.40 og / g）。检测限从约4.8更改为4 og / g，相对标准偏差从约9更改为6％。结论-曲线中没有中间平均值，改善了DPASV对软木中铅（II）的测定。仅使用LSM方程估算SD的结果明显较差。所做的更改足够大，可以将表面上未经验证的过程（精度可重复性）转换为内部验证的过程

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