Analysis of volatile components in inkjet printouts by GC-MS: A classification method

被引:12
|
作者
Lian, Zhe [1 ,2 ]
Yang, Ruiqin [1 ]
Zhao, Lingyi [1 ]
Shi, Gaojun [2 ]
Liang, Luning [2 ]
Qin, Da [2 ]
Zou, Jixin [2 ]
Yin, Baohua [2 ]
机构
[1] Peoples Publ Secur Univ China, Sch Forens Sci, Beijing, Peoples R China
[2] Minist Publ Secur, Inst Forens Sci, Beijing 100038, Peoples R China
关键词
Forensic; Inkjet printing inks; GC-MS; Volatile components; Counterfeit banknotes; BALLPOINT PEN INK; PRINTING INKS; RAMAN-SPECTROSCOPY; MASS-SPECTROMETRY; BLACK; GAS; CHROMATOGRAPHY; IDENTIFICATION; DESORPTION; AGE;
D O I
10.1016/j.forsciint.2020.110562
中图分类号
DF [法律]; D9 [法律]; R [医药、卫生];
学科分类号
0301 ; 10 ;
摘要
Considering the high use of inkjet printing in forgery cases, the classification of inkjet printing is particularly important in questioned document examination. In this work, a universal GC-MS method has been developed to analyze various ink components extracted from inkjet printouts. The results indicated that several components detected and identified across 195 inks could be used to distinguish printer manufacturers. A trend of decreasing solvent concentration over time was observed through the continuous monitoring of 7 samples. The results shown that this method is useful for forensic classification purposes, and can be useful regardless effects of storage environment, paper or printer. Furthermore, the application of this method in the analysis of counterfeit banknotes illustrated its feasibility and applicability. (C) 2020 Elsevier B.V. All rights reserved.
引用
收藏
页数:8
相关论文
共 50 条
  • [41] Characteristic volatile components analysis of Camelina sativa (L.) Crantz by GC-MS and their antibacterial and antioxidant activities
    Li, Feifei
    Liu, Yuqing
    Zhu, Jie
    Li, Zhining
    Zhang, Lixian
    Ma, Yanni
    Yu, Liqin
    NATURAL PRODUCT RESEARCH, 2024,
  • [42] Identification and Analysis of the Impurities for Triethylboron by GC-MS Method
    Su, Pengfei
    Xiu-tian-feng, E.
    Wang, Jingna
    Zhu, Yanlong
    Zhang, Gao
    Chang, Hai
    Liu, Ke
    Meng, Zihui
    PROPELLANTS EXPLOSIVES PYROTECHNICS, 2022, 47 (04)
  • [43] Analysis of the variation in scent components of Hosta flowers by HS-SPME and GC-MS
    Liu, Qian
    Sun, Guofeng
    Wang, Su
    Lin, Qinwen
    Zhang, Jinzheng
    Li, Xiaodong
    SCIENTIA HORTICULTURAE, 2014, 175 : 57 - 67
  • [44] GC-MS Combined with Chemometrics for Analysis of the Components of the Essential Oils of Sweet Potato Leaves
    Wang, Mei
    Xiong, Yunhai
    Zeng, Maomao
    Li, Hongdong
    Zhang, Taiming
    Liang, Yizeng
    CHROMATOGRAPHIA, 2010, 71 (9-10) : 891 - 897
  • [45] Identification, Comparison and Classification of Volatile Compounds in Peels of 40 Apple Cultivars by HS-SPME with GC-MS
    Yang, Shunbo
    Hao, Nini
    Meng, Zhipeng
    Li, Yingjuan
    Zhao, Zhengyang
    FOODS, 2021, 10 (05)
  • [46] Combination of GC-MS with local resolution for determining volatile components in si-wu decoction
    Gong, F
    Liang, YZ
    Chau, FT
    JOURNAL OF SEPARATION SCIENCE, 2003, 26 (1-2): : 112 - 122
  • [47] Aroma Components Analysis of Two 'Hutai-grapes' by GC-MS
    Liang Yanying
    Zhang Li
    Ji Jian
    Ji Wenyan
    Lu Baituan
    Wang Hua
    PROCEEDINGS OF THE SEVENTH INTERNATIONAL SYMPOSIUM ON VITICULTURE AND ENOLOGY (2011), 2011, : 237 - 242
  • [48] Analysis of Acrylamide by GC-MS
    Papousek, Roman
    Novakova, Petra
    Markova, Eva
    Bartak, Petr
    CHEMICKE LISTY, 2013, 107 (03): : 255 - 260
  • [49] Development of a HS-SPME/GC-MS method for the analysis of volatile organic compounds from fabrics for forensic reconstruction applications
    Gherghel, Simona
    Morgan, Ruth M.
    Arrebola-Liebanas, Javier
    Romero-Gonzalez, Roberto
    Blackman, Chris S.
    Garrido-Frenich, Antonia
    Parkin, Ivan P.
    FORENSIC SCIENCE INTERNATIONAL, 2018, 290 : 207 - 218
  • [50] Comprehensive study of volatile compounds of rare Leucosceptrum canum Smith honey: Aroma profiling and characteristic compound screening via GC-MS and GC-MS/MS
    Wang, Xuan
    Yan, Sha
    Zhao, Wen
    Wu, Liming
    Tian, Wenli
    Xue, Xiaofeng
    FOOD RESEARCH INTERNATIONAL, 2023, 169