|
|
|
|
|
|
Identification of the Types and Writing Time of Black Signature Pen Handwriting Based on Raman Spectroscopy |
WAN Jing-wei1, 2, CUI Sheng-feng1, 2, CHEN Lei3, MA Xue-bing4 |
1. Center for Physical and Chemical Evidence Examination, Department of Criminal Science and Technology, Railway Police College, Zhengzhou 450053, China
2. Institute of Environmental and Ecological Safety Technology, Institute of Public Safety Research, Zhengzhou University, Zhengzhou 450001, China
3. Department of Pharmacy, Henan Medical College, Zhengzhou 451191, China
4. Key Laboratory of Applied Chemistry of Chongqing Municipality, College of Chemistry and Chemical Engineering, Southwest University, Chongqing 400715, China |
|
|
Abstract The identification of the type and the writing time of black signature pen handwriting has always been a hot topic in the field of forensic science at home and abroad. Based on the advantages of Raman spectroscopy, such as high resolution, good stability, high efficiency and nondestructive testing, 16 brands of black signature pen handwriting samples were tested. The samples of the same brand at the same time with different storage conditions (darkroom and lighting) and different paper background (copy paper and notebook) handwriting samples were completed. The handwriting samples were clipped and fixed on the glass slide with the double-sided adhesive, and stored in the storage box to protect them from light, and then the samples were tested at intervals. The test lasted for one year to form a Raman spectrum database. The optimum conditions were selected based on the investigation of the influence of experimental conditions, such as measuring point, laser power and confocal type. Based on the optimum conditions, the handwriting samples of black signature pen were determined under different writing time, storage environment and paper background. The experimental results indicated that: (1) Under different conditions of storage conditions (darkroom and lighting) and paper background (copy paper and notebook), the same kind of black signature pen handwriting had the same Raman shift, and the repeatability was good, indicating the less disturbance by the background of water and paper. (2) According to the Raman shift, 16 types of black signature pen could be classified into five categories. (3) Taking 2# sample as example, a characteristic peak of Raman spectrum at 1 140 cm-1 was assigned to the C—O stretching vibration ν(CO) of the ester compound, the content of which decreasing over time. Therefore, the relative intensity of the characteristic peak was increased with the writing time (8→1). The relative area value I was calculated by the fitting method, and it indicated that the I value was increased with the writing time of the sample. Our strategy can be applied in quick and nondestructive determination of the types and relative writing times of the black signature pen handwriting.
|
Received: 2019-03-08
Accepted: 2019-07-17
|
|
|
[1] CHEN Shu-ping, ZHAN Jin, WU Dai-ling(陈淑萍, 詹 瑾, 吴黛泠). Legality Vision(法制博览), 2017, (16): 160.
[2] TIAN Cai-yan, DING Xue-lu, YIN Jin-wei, et al(田彩彦, 丁薛璐, 尹金维, 等). Chinese Journal of Analytical Chemistry(分析化学), 2016, 44(1): 8.
[3] JI Jin-xin, ZHOU Wen-hua, YAO Na, et al(季金鑫, 周文华,姚 娜, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2016, 36(7): 2207.
[4] Nam Y S, Park J S, Lee Y, et al. Journal of Forensic Sciences, 2014, 59(3): 800.
[5] Chao F, Peng X. Agro Food Industry Hi-Tech, 2017, 28(3): 2085.
[6] Patrick B, Edward S. Journal of Raman Spectroscopy, 2016, 47(1): 16.
[7] Huynh V, Williams K C, Golden T D, et al. Analyst, 2015, 140(19): 6553.
[8] Sherma J. Journal of Liquid Chromatography & Related Technologies, 2016, 39(12): 549.
[9] Marina J, Rodinei A. Analytical Methods, 2016, 8(23): 4543.
[10] Rabel F,Sherma J. Journal of Liquid Chromatography & Related Technologies. 2016, 39(8): 385.
[11] Marco L, Peter D, Thomas A K, et al. Analytical Chemistry, 2011, 83: 3990.
[12] Verônica A G D S, Márcio T, Isabella C F P, et al. Microchemical Journal, 2014, 116: 235.
[13] Kurouski D, Zaleski S, Casadio F, et al. Journal of the American Chemical Society, 2014, 136(24): 8677.
[14] HAN Wei, LI Jiang-chun, TAN Rui-guo(韩 伟, 李江春, 谭瑞国). The Journal of Light Scattering(光散射学报), 2018, 30(4): 344.
[15] LIAN Yuan-yuan, LIANG Lu-ning(连园园,梁鲁宁). The Journal of Light Scattering(光散射学报), 2016, 28(3): 245.
[16] JI Kang, ZHAO Jie(籍 康, 赵 杰). Journal of Nanjing Normal University(南京师大学报), 2010, 33(4): 68.
[17] Robertson J. Materials Science and Engineering: R: Reports, 2002, 37(4-6): 129. |
[1] |
LI Jie, ZHOU Qu*, JIA Lu-fen, CUI Xiao-sen. Comparative Study on Detection Methods of Furfural in Transformer Oil Based on IR and Raman Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 125-133. |
[2] |
WANG Fang-yuan1, 2, HAN Sen1, 2, YE Song1, 2, YIN Shan1, 2, LI Shu1, 2, WANG Xin-qiang1, 2*. A DFT Method to Study the Structure and Raman Spectra of Lignin
Monomer and Dimer[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 76-81. |
[3] |
XING Hai-bo1, ZHENG Bo-wen1, LI Xin-yue1, HUANG Bo-tao2, XIANG Xiao2, HU Xiao-jun1*. Colorimetric and SERS Dual-Channel Sensing Detection of Pyrene in
Water[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 95-102. |
[4] |
WANG Xin-qiang1, 3, CHU Pei-zhu1, 3, XIONG Wei2, 4, YE Song1, 3, GAN Yong-ying1, 3, ZHANG Wen-tao1, 3, LI Shu1, 3, WANG Fang-yuan1, 3*. Study on Monomer Simulation of Cellulose Raman Spectrum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 164-168. |
[5] |
GAO Hong-sheng1, GUO Zhi-qiang1*, ZENG Yun-liu2, DING Gang2, WANG Xiao-yao2, LI Li3. Early Classification and Detection of Kiwifruit Soft Rot Based on
Hyperspectral Image Band Fusion[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 241-249. |
[6] |
WANG Lan-hua1, 2, CHEN Yi-lin1*, FU Xue-hai1, JIAN Kuo3, YANG Tian-yu1, 2, ZHANG Bo1, 4, HONG Yong1, WANG Wen-feng1. Comparative Study on Maceral Composition and Raman Spectroscopy of Jet From Fushun City, Liaoning Province and Jimsar County, Xinjiang Province[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 292-300. |
[7] |
LI Wei1, TAN Feng2*, ZHANG Wei1, GAO Lu-si3, LI Jin-shan4. Application of Improved Random Frog Algorithm in Fast Identification of Soybean Varieties[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3763-3769. |
[8] |
WANG Zhi-qiang1, CHENG Yan-xin1, ZHANG Rui-ting1, MA Lin1, GAO Peng1, LIN Ke1, 2*. Rapid Detection and Analysis of Chinese Liquor Quality by Raman
Spectroscopy Combined With Fluorescence Background[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3770-3774. |
[9] |
LIU Hao-dong1, 2, JIANG Xi-quan1, 2, NIU Hao1, 2, LIU Yu-bo1, LI Hui2, LIU Yuan2, Wei Zhang2, LI Lu-yan1, CHEN Ting1,ZHAO Yan-jie1*,NI Jia-sheng2*. Quantitative Analysis of Ethanol Based on Laser Raman Spectroscopy Normalization Method[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3820-3825. |
[10] |
LU Wen-jing, FANG Ya-ping, LIN Tai-feng, WANG Hui-qin, ZHENG Da-wei, ZHANG Ping*. Rapid Identification of the Raman Phenotypes of Breast Cancer Cell
Derived Exosomes and the Relationship With Maternal Cells[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3840-3846. |
[11] |
LI Qi-chen1, 2, LI Min-zan1, 2*, YANG Wei2, 3, SUN Hong2, 3, ZHANG Yao1, 3. Quantitative Analysis of Water-Soluble Phosphorous Based on Raman
Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3871-3876. |
[12] |
GUO He-yuanxi1, LI Li-jun1*, FENG Jun1, 2*, LIN Xin1, LI Rui1. A SERS-Aptsensor for Detection of Chloramphenicol Based on DNA Hybridization Indicator and Silver Nanorod Array Chip[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3445-3451. |
[13] |
ZHU Hua-dong1, 2, 3, ZHANG Si-qi1, 2, 3, TANG Chun-jie1, 2, 3. Research and Application of On-Line Analysis of CO2 and H2S in Natural Gas Feed Gas by Laser Raman Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3551-3558. |
[14] |
LIU Jia-ru1, SHEN Gui-yun2, HE Jian-bin2, GUO Hong1*. Research on Materials and Technology of Pingyuan Princess Tomb of Liao Dynasty[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3469-3474. |
[15] |
MU Da1, 2, WANG Qi-shu1, 2*, CUI Zong-yu1, 2, REN Jiao-jiao1, 2, ZHANG Dan-dan1, 2, LI Li-juan1, 2, XIN Yin-jie1, 2, ZHOU Tong-yu3. Study on Interference Phenomenon in Terahertz Time Domain
Spectroscopy Nondestructive Testing of Glass Fiber Composites[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3031-3040. |
|
|
|
|