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研究了近红外光谱法在人造革基布纤维含量定量分析中的应用。通过分析样品近红外光谱的主成分,选择校正和验证样品集,选用偏最小二乘法(PLS),建立人造革基布纤维含量专属定量分析模型。结果表明:在9 017.5~4 396.9 cm~(-1)的波数范围内,选用9个主成分数建立了专属定量分析模型,模型的校正均方根误差(RMSEC)为0.678、相关系数(R_c~2)为0.999 5;预测均方根误差(RMSEP)为0.705、相关系数(R_v~2)为0.998 9,残差范围为-1.5~1.4;专属定量分析模型具有较好的预测准确性和方法重复性,可实现人造革基布纤维含量的快速测定。
The application of near infrared spectroscopy in the quantitative analysis of fabric fiber content of artificial leather was studied. By analyzing the principal components of the near-infrared spectrum of the sample, the calibration and verification sample sets were selected, and PLS was selected to establish a quantitative analysis model of the fiber content of the base fabric. The results showed that the specific root mean square error (RMSEC) of the model was 0.678 and the correlation coefficient (R_c) was within 9 017.5-4 396.9 cm -1. ~ 2) was 0.999 5. The root mean square error of prediction (RMSEP) was 0.705, the correlation coefficient (R_v ~ 2) was 0.998 9, and the residual range was -1.5 ~ 1.4. The specific quantitative analysis model had good prediction accuracy and Method repeatability, rapid determination of the fiber content of the artificial leather fabric can be achieved.