化学计量学方法对蓝色圆珠笔和签字笔油墨的分类研究

发布时间：2018-12-21 09:08

【摘要】： 随着圆珠笔和签字笔的广泛应用,油墨字迹的鉴定已成为法庭科学的重要内容。在各类刑事案件、经济和民事纠纷中,经常会遇到问题文件(诸如契约、合同、遗嘱、保险索取等)中字迹的真伪及书写时间的鉴定。因此,建立一种简便、快捷、准确有效的检测方法显得尤为重要。化学计量学是一种新近发展起来的数学运算方法,广泛用于化学实验数据的统计分析,进行数据降维、变量的提取与压缩等。其中,主成分分析和聚类分析是两种常用的基础方法,在中药指纹图谱、食品、饮料等研究领域有着广泛的应用。本文采用紫外分光光度法和高效液相色谱法分别对蓝色签字笔以及蓝色圆珠笔样品进行了分析,并借助主成分分析法和聚类分析法对油墨样品进行了分类和识别。第一章主要介绍了油墨的研究进展及其化学计量学方法的原理和应用。第二章采用紫外可见分光光度法对蓝色签字笔油墨的种类进行了研究,并依据光谱图中特征峰的位置不同对样品进行分类;然后,以400～700nm之间的光谱数据作为分析变量,对不同品牌的蓝色签字笔样品进行了主成分分类研究,最后,将上述两种方法的分类结果同薄层色谱法的分类结果相比较。第三章首先采用反相高效液相色谱法对蓝色圆珠笔进行了分类研究,依据色谱图的不同对样品进行了流程图分类;其次,以染料的相对峰面积为分析变量,采用聚类分析法和主成分分析法对蓝色圆珠笔样品进行分类研究;最后,采用非水毛细管电泳法对蓝色圆珠笔油墨样品进行了分类研究。
[Abstract]:With the wide application of ballpoint pen and signature pen, ink handwriting identification has become an important content of forensic science. In various criminal cases, economic and civil disputes, there are often problems in the documents (such as contracts, wills, insurance claims, etc.), the authenticity of the handwriting and the identification of the writing time. Therefore, it is very important to establish a simple, fast, accurate and effective detection method. Chemometrics is a newly developed mathematical operation method, which is widely used in statistical analysis of chemical experimental data, dimensionality reduction of data, extraction and compression of variables, etc. Among them, principal component analysis and cluster analysis are two basic methods, which are widely used in traditional Chinese medicine fingerprint, food, beverage and other research fields. The blue signature pen and blue ballpoint pen were analyzed by ultraviolet spectrophotometry and high performance liquid chromatography, and the ink samples were classified and identified by principal component analysis and cluster analysis. The first chapter mainly introduces the research progress of ink and the principle and application of chemometrics. In the second chapter, the type of blue signature pen ink is studied by UV-Vis spectrophotometry, and the samples are classified according to the position of the characteristic peak in the spectrum. Then, the spectral data between 400~700nm were used as analysis variables to study the principal component classification of blue signature pen samples of different brands. Finally, the classification results of the above two methods were compared with those of TLC. In chapter 3, the blue ballpoint pen is classified by reversed phase high performance liquid chromatography (RP-HPLC), and the flow chart is classified according to the different chromatogram. Secondly, using the relative peak area of dyes as the analysis variable, the classification of blue ballpoint pen samples was studied by cluster analysis and principal component analysis. Finally, the blue ballpoint pen ink samples were classified by non-aqueous capillary electrophoresis.
【学位授予单位】：首都师范大学
【学位级别】：硕士
【学位授予年份】：2009
【分类号】：D918.2

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