近红外光谱无损检测技术在古籍纸张性能分析中的可行性研究

为研究近红外光谱无损检测技术在古籍纸张分析检测中的可行性,采用近红外光谱分析方法,构建100个纸样的p H值、纤维聚合度、高锰酸钾值、碱储量4项指标的近红外光谱预测模型,并对模型的相关性进行验证。结果表明,近红外光谱分析模型对纸样p H值、纤维聚合度、高锰酸钾值的预测值跟实测值相关性较好,能够满足检测需求,对碱储量的预测值有一定误差,但能够满足参考性要求。实验结果证明了近红外光谱分析技术对珍贵文献纸张进行无损检测是可行的。

Feasibility study on the use of nondestructive near infrared testing technology for analysis of ancient paper

Using the nondestructive near infrared (NIR) testing technology, we built NIR prediction models including four indicators of pH value, degree of polymerization (DP), K-value and alkaline reserve of paper, based on the measured values of 100 paper samples. The correlations of NIR prediction models were verified. The results show that the predicted values of pH, DP and K-value have good agreement with the measured ones, suggesting that the three indicators can be tested by NIR. However, the correlation between the predicted and the measured values of alkaline reserve is not that good, suggesting that the NIR prediction models of alkaline reserve can be used for reference, but not testing. This study indicates that the nondestructive test of precious ancient papers by NIR technology is feasible.