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。
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.
出处
《包装工程》
CAS
北大核心
2017年第3期23-27,共5页
Packaging Engineering
基金
石河子大学高层次人才科研启动资金专项(RCZX201418)
石河子大学应用基础研究青年项目(2015ZRKX YQ-LH09)
关键词
包装复合膜
丙酮
校准回归方程
加权最小二乘法
packaging composite film
acetone
calibration regression equation
weighted least square method
