2017
DOI: 10.1186/s41935-017-0017-7
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Multimetal deposition method for detection of latent fingerprints: a review

Abstract: Multimetal deposition is a versatile technique of detecting latent fingerprints on porous items, for example, fabric tape, masking tape, cardboard; on semi-porous items, for example, expanded polystyrene, latex gloves, waxed paper; as well as on non-porous items, for example, metals and plastics. It is so named because it is a two-step process, the first involves deposition of gold and the second deposition of silver on the ridges, thereby visualizing the latent impressions. Although a technique with a very wi… Show more

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Cited by 12 publications
(6 citation statements)
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“… Black powder suspension : As fully described in the previous section, a 50–100 nm iron (II/III) oxide nanopowder from Sigma Aldrich (product #: 637106) is currently recommended to prepare the C-IOPS-09, resulting in nanoparticles in suspension [ [387] , [388] , [389] ]. Available reviews : MMD [ 420 ], overview [ 384 ] and critical review [ 385 ] regarding the application of nanoparticles to fingermarks. Acronyms used : AIE (aggregation-induced emission), C-dots (carbon dots), C-IOPS-09 (2009 CAST iron [II/III] black powder suspension), EDC/NHS (1-ethyl-3-(3-dimethylaminopropyl)-carbodiimide mixed with N-hydroxysuccinimide), FITC (fluorescein isothiocyanate), IgG (immunoglobulin G), MMD (multimetal deposition), NIN (ninhydrin), NIR (near-infrared), NPs (nanoparticles), NR (Nile red), ORO (Oil Red O), PD (physical developer), QDs (quantum dots), RuBpy (tris [2,20-bipyridyl]dichlororuthenium [II] hexahydrate), SERS (surface-enhanced Raman spectroscopy), SMD (single metal deposition) …”
Section: Fingermark Composition and Detectionmentioning
confidence: 99%
See 1 more Smart Citation
“… Black powder suspension : As fully described in the previous section, a 50–100 nm iron (II/III) oxide nanopowder from Sigma Aldrich (product #: 637106) is currently recommended to prepare the C-IOPS-09, resulting in nanoparticles in suspension [ [387] , [388] , [389] ]. Available reviews : MMD [ 420 ], overview [ 384 ] and critical review [ 385 ] regarding the application of nanoparticles to fingermarks. Acronyms used : AIE (aggregation-induced emission), C-dots (carbon dots), C-IOPS-09 (2009 CAST iron [II/III] black powder suspension), EDC/NHS (1-ethyl-3-(3-dimethylaminopropyl)-carbodiimide mixed with N-hydroxysuccinimide), FITC (fluorescein isothiocyanate), IgG (immunoglobulin G), MMD (multimetal deposition), NIN (ninhydrin), NIR (near-infrared), NPs (nanoparticles), NR (Nile red), ORO (Oil Red O), PD (physical developer), QDs (quantum dots), RuBpy (tris [2,20-bipyridyl]dichlororuthenium [II] hexahydrate), SERS (surface-enhanced Raman spectroscopy), SMD (single metal deposition) …”
Section: Fingermark Composition and Detectionmentioning
confidence: 99%
“…Available reviews : MMD [ 420 ], overview [ 384 ] and critical review [ 385 ] regarding the application of nanoparticles to fingermarks.…”
Section: Fingermark Composition and Detectionmentioning
confidence: 99%
“…Conventional powders mainly have certain drawbacks, including toxicity, low contrast, high background interference, and low selectivity. [7][8][9][10] Although chemical methods like iodine fumigation, 11 ninhydrin, 12 and silver nitrate have seen rapid development in recent years, 13 they still have some disadvantages, such as slow reaction speed, background reaction, and potentially destructive effects on ngerprints. 8,14 These limitations greatly restrict the applicability of current materials in ngerprint visualization.…”
Section: Introductionmentioning
confidence: 99%
“…Targeted development of fingerprint ridges, luminescent fingerprints and chemical probing are amongst the enhancements that can be achieved using nanoparticles (Zhao et al 2018;Li et al 2018). The nanoparticles exploited in fingerprint research include gold, silver, titanium dioxide, zinc oxide and silica nanoparticles (SNPs) (Becue et al 2007;Sodhi and Kaur 2017;Bergeron 2003;Becue et al 2008;Kim et al 2016;Newland et al 2016;Choi et al 2007;Choi et al 2008;Singh et al 2013).…”
Section: Introductionmentioning
confidence: 99%