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近红外光谱法非接触式快速分析喷墨打印记录涂层的质量。

Noncontact and rapid analysis of the quality of the recording coating on ink jet printing by near-infrared spectroscopy.

机构信息

Polymer Materials and Engineering Department, School of Chemical Engineering and Technology, Harbin Institute of Technology, People's Republic of China.

出版信息

Analyst. 2011 Dec 21;136(24):5157-61. doi: 10.1039/c1an15676d. Epub 2011 Oct 20.

DOI:10.1039/c1an15676d
PMID:22016877
Abstract

The preparation and manufacture of the recording coating on ink jet printing (RC-IJP) was proposed. The microstructure of RC-IJP was analyzed by scanning electron microscopy. Fourier transform near infrared (FT-NIR) spectra showed the combination and overtone vibrations information of the hydrogen-containing groups in the RC-IJP structure. FT-NIR spectra combined with partial least squares (PLS) methods were proposed for the analysis of the glossiness degree, smoothness degree and weight per unit area of recording material (Gr) in RC-IJP. 45 samples were selected for the calibration sets of glossiness degree, smoothness degree and Gr respectively. A spectral pretreatment method was used to develop a robust calibration model. After optimizing the spectral pre-treatment, the determination coefficient (R(2)) of the glossiness degree, smoothness degree and Gr was 0.86, 0.94, and 0.98, respectively. Root mean square error of prediction (RMSEP) of the glossiness degree, smoothness degree and Gr was 1.65, 13.86, 0.054, respectively. The analytical results showed that NIR spectra using PLS had significant potential as a rapid and accurate method for the analysis of the glossiness degree, smoothness degree and Gr in the manufacture of RC-IJP.

摘要

提出了喷墨打印记录涂层(RC-IJP)的制备和制造方法。通过扫描电子显微镜分析了 RC-IJP 的微观结构。傅里叶变换近红外(FT-NIR)光谱显示了 RC-IJP 结构中含氢基团的组合和倍频振动信息。提出了傅里叶变换近红外光谱结合偏最小二乘法(PLS)方法,用于分析 RC-IJP 中光泽度、平滑度和单位面积重量(Gr)。分别为光泽度、平滑度和 Gr 选择了 45 个样本作为校准集。使用光谱预处理方法开发了稳健的校准模型。在优化光谱预处理后,光泽度、平滑度和 Gr 的决定系数(R²)分别为 0.86、0.94 和 0.98。光泽度、平滑度和 Gr 的预测均方根误差(RMSEP)分别为 1.65、13.86 和 0.054。分析结果表明,PLS 的近红外光谱具有作为 RC-IJP 制造中快速准确分析光泽度、平滑度和 Gr 的潜在重要性。

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