【摘要】： 圓珠筆油墨字跡的鑒定已成為法庭科學(xué)的重要內(nèi)容。建立快速可靠的分析檢測(cè)方法,從而準(zhǔn)確有效地鑒定圓珠筆的種類和書(shū)寫(xiě)形成時(shí)間,對(duì)解決刑事案件、經(jīng)濟(jì)和民事糾紛具有重要意義。圓珠筆油墨成分復(fù)雜,利用色譜技術(shù)和色譜-質(zhì)譜聯(lián)用技術(shù)可對(duì)其成分進(jìn)行有效地分離和鑒定。由此產(chǎn)生的大量已知樣品的光譜和色譜數(shù)據(jù),可借助化學(xué)計(jì)量學(xué)方法建立數(shù)學(xué)模型,實(shí)現(xiàn)對(duì)未知樣品的識(shí)別。這些為建立圓珠筆油墨庫(kù)奠定了基礎(chǔ)。 本文研究的主要內(nèi)容如下: 一、利用反相高效液相色譜和液相色譜-質(zhì)譜聯(lián)用技術(shù)對(duì)藍(lán)色圓珠筆油墨字跡中難揮發(fā)性的染料成分進(jìn)行研究。實(shí)驗(yàn)結(jié)果表明油墨中主要含有磺化銅酞菁、羅丹明B、堿性品藍(lán)、甲基紫、結(jié)晶紫、堿性艷藍(lán)B和堿性艷藍(lán)BO等七種染料成分,據(jù)此用流程圖將圓珠筆分成九大類。質(zhì)譜強(qiáng)大的定性能力不僅確證了堿性品藍(lán)和堿性艷藍(lán)B脫甲基峰以及堿性艷藍(lán)BO和羅丹明B脫乙基峰的存在而且發(fā)現(xiàn)了新的染料成分維多利亞4R和堿性品紅及芳香胍類物質(zhì)的存在,這樣就解決了液相分析中一些未知的色譜峰的確認(rèn)問(wèn)題。 二、運(yùn)用化學(xué)計(jì)量學(xué)方法對(duì)藍(lán)色圓珠筆油墨字跡的紫外可見(jiàn)光譜和液相色譜數(shù)據(jù)進(jìn)行主成分分析和人工神經(jīng)網(wǎng)絡(luò)識(shí)別。首先利用主成分分析(PCA)分析藍(lán)色圓珠筆油墨字跡的紫外可見(jiàn)光譜和液相色譜數(shù)據(jù),通過(guò)對(duì)前三個(gè)主成分的二維、三維投影顯示,對(duì)圓珠筆油墨進(jìn)行了初步分類識(shí)別。其次將人工神經(jīng)網(wǎng)絡(luò)(主要是反向傳播人工神經(jīng)網(wǎng)絡(luò)(BP-ANN)和徑向基函數(shù)(RBF)神經(jīng)網(wǎng)絡(luò))和主成分分析相結(jié)合來(lái)進(jìn)行模式識(shí)別,通過(guò)對(duì)圓珠筆油墨樣品的訓(xùn)練和預(yù)測(cè),結(jié)果表明人工神經(jīng)網(wǎng)絡(luò)具有較高的分類準(zhǔn)確率,可用于藍(lán)色圓珠筆的分類識(shí)別。
[Abstract]:The identification of ink handwriting of ballpoint pen has become an important content of forensic science. It is of great significance to establish a rapid and reliable analysis and detection method to identify the type and writing time of ballpoint pen accurately and effectively, which is of great significance for solving criminal cases, economic disputes and civil disputes. The composition of ballpoint pen ink is complex and can be effectively separated and identified by chromatography and chromatography-mass spectrometry. The resulting spectral and chromatographic data of a large number of known samples can be identified by means of chemometrics to establish a mathematical model for the identification of unknown samples. These for the establishment of a ballpoint pen ink base laid the foundation. The main contents of this paper are as follows: 1. The volatile dyes in blue ballpoint pen ink were studied by reversed phase high performance liquid chromatography (RP-HPLC) and liquid chromatography-mass spectrometry (LC-MS). The experimental results showed that the ink mainly contained seven kinds of dyes, such as sulfonated copper phthalocyanine, rhodamine B, basic blue, methyl violet, crystal violet, alkaline brilliant blue B and alkaline brilliant blue BO, etc. According to the flow chart, the ballpoint pen was divided into nine categories. The strong qualitative ability of mass spectrometry not only confirmed the existence of demethylated peaks of basic blue and basic brilliant blue B, but also found new dye components Victoria 4R, basic fuchsin and aromatics, as well as the presence of basic brilliant blue BO and Rhodamine B deethylated peaks. The presence of vanguanidine, This solves the problem of confirming some unknown chromatographic peaks in liquid phase analysis. Secondly, principal component analysis (PCA) and artificial neural network (Ann) recognition of the UV spectrum and liquid chromatography data of blue ballpoint pen ink were carried out by means of chemometrics. At first, principal component analysis (PCA) was used to analyze the ultraviolet visible spectrum and liquid chromatography data of blue ballpoint pen ink. The first three principal components were shown by 2D and 3D projection, and the ink of ballpoint pen was preliminarily classified and identified. Secondly, the artificial neural network (BP-ANN) and the radial basis function (RBF) neural network are combined with the principal component analysis (PCA) to recognize the pattern and predict the ink sample of ballpoint pen. The results show that the artificial neural network has higher classification accuracy and can be used in the classification and recognition of blue ballpoint pen.
【學(xué)位授予單位】：首都師范大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2008
【分類號(hào)】：D918.92

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