2021
DOI: 10.1016/j.forc.2021.100366
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Chemical composition effect on latent print development using black fingerprint powders

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Cited by 10 publications
(3 citation statements)
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“…Composition – Six commercial black powders (i.e., Lightning black, Supranano black, Lynn Peavey, Evident, Sirchie 101L HiFi Volcano, Arrowhead) were characterized by various analytical techniques (i.e., XPS, SEM, EDS, DLS, ATR-IR, Raman spectroscopy, PXRD, and NMR) [ 331 ]. All powders were mostly composed of carbon and oxygen, with traces of other chemicals in varying quantities (e.g., sulphur, silicon, iron, aluminium).…”
Section: Fingermark Visualisationmentioning
confidence: 99%
“…Composition – Six commercial black powders (i.e., Lightning black, Supranano black, Lynn Peavey, Evident, Sirchie 101L HiFi Volcano, Arrowhead) were characterized by various analytical techniques (i.e., XPS, SEM, EDS, DLS, ATR-IR, Raman spectroscopy, PXRD, and NMR) [ 331 ]. All powders were mostly composed of carbon and oxygen, with traces of other chemicals in varying quantities (e.g., sulphur, silicon, iron, aluminium).…”
Section: Fingermark Visualisationmentioning
confidence: 99%
“…It was not until 2010 when the potential of XPS analysis for forensics was publicly identified by Watts 16 . Since then, the technique has been used in multiple forensic fingerprint studies, 17–20 but was not yet applied in forensic analysis of inks until recently as part of a round‐robin study 10 . Out of 18 methods in that study, XPS and LIBS were the only ones able to spectrally discriminate between the three inks in the sample set.…”
Section: Introductionmentioning
confidence: 99%
“…The characteristics of the FPs powders were a significant component impacting the method’s success. Traditional methods, such as metallic powders and magnetic powders have limitations, such as low background interference, poor selective interactions with the FP deposits, and offer significant health risks for users 37 , 38 . As a result, the development of innovative and high-efficiency FP powders for sensitive LFPs visualization was critical.…”
Section: Introductionmentioning
confidence: 99%