2015
DOI: 10.1016/j.forsciint.2015.01.023
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Raman imaging for determining the sequence of blue pen ink crossings

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Cited by 39 publications
(18 citation statements)
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“…This technique is a nondestructive analysis, it needs no sample preparation, and the sample size can be in the order of picograms. Recently, Raman spectroscopy has been shown to be an effective multipurpose analytical method for forensic applications: identification of drugs [3], lipsticks [4], fibers [5], paints [6], and ink [7]. A previous study reported the identification of body fluids using Raman spectroscopy [8].…”
Section: Introductionmentioning
confidence: 99%
“…This technique is a nondestructive analysis, it needs no sample preparation, and the sample size can be in the order of picograms. Recently, Raman spectroscopy has been shown to be an effective multipurpose analytical method for forensic applications: identification of drugs [3], lipsticks [4], fibers [5], paints [6], and ink [7]. A previous study reported the identification of body fluids using Raman spectroscopy [8].…”
Section: Introductionmentioning
confidence: 99%
“…Braz et al 124,125 published two studies on the matter. In the first, 124 they investigated the Raman spectral variability of 190 blue pens of different ink types, brands, models and batches.…”
Section: Raman Spectroscopy In Document Analysismentioning
confidence: 99%
“…In principle, if a document is altered so that a new ink line is drawn over an existing one the ink molecules of the later will lie on top of the original, so that methods which are depth sensitive should be able to determine the order of the lines. Although various methods based on advanced instrumentations from focused ion beam microscopy to spectrophotometry have been proposed, all have shown limited success [34,35]. As shown in Figure 5 normal Raman measurements of the test sample with crossing blue and green ink lines do not give sufficient discrimination but the SENSERS spectra at the crossing points are indeed dominated by the ink in the uppermost line.…”
Section: Sensers For Trace Analysis Of Real-life Samplesmentioning
confidence: 99%