包装复合膜中丙酮校准回归方程模型与评价

Model and Evaluation of the Calibration Regression Equation of Acetone in Packaging Composite Film

中文关键词: 包装复合膜  丙酮  校准回归方程  加权最小二乘法

英文关键词: packaging composite film  acetone  calibration regression equation  weighted least square method

中文摘要:

      目的 为了提高包装复合膜中丙酮检测结果的准确性，拟建立包装复合膜中丙酮校准回归方程模型。方法 针对溶剂残留丙酮，以《包装材料溶剂残留量测定方法》YBB00312004—2015中溶剂残留测定方法为基础，采用加权最小二乘法，建立了包装复合膜中丙酮校准回归方程模型，并通过异常值检验、相关分析、参数估计、同方差性的判定等指标对校准回归方程模型进行综合评价，并与普通最小二乘法校准回归方程进行了对比分析。结果 加权最小二乘法能有效消除异方差对校准回归方程的影响，且加权最小二乘法校准回归方程线性显著，拟合程度高，检测结果准确度高。结论 加权最小二乘法校准回归方程模型适用于包装复合膜中丙酮质量检测。

英文摘要:

      The work aims to establish the calibration regression equation model for acetone in the packaging composite film, so as to improve the accuracy of the detection results of acetone. With respect to the residual solvent of acetone, based on the Method for the Determination of Residual Solvent in Packaging Materials YBB00312004—2015, the calibration regression equation model for acetone in the packaging composite film was established in the weighted least square method. Moreover, through the outlier test, correlation analysis, parameter estimation, and judging indexes, such as homoscedasticity, the calibration regression equation model was comprehensively evaluated and analyzed by comparing with the ordinary least square calibration regression equation. The weighted least square method could effectively eliminate the influence of the heteroscedasticity on the calibration regression equation, and the weighted least square calibration regression equation was of significant linearity and at high regression level, and its detection results were of high accuracy. In conclusion, the weighted least square calibration regression equation model is suitable for the detection of acetone in the packaging composite film.