This is a page describing data taken during an experiment at the ISIS Neutron and Muon Source. Information about the ISIS Neutron and Muon Source can be found at https://www.isis.stfc.ac.uk.
Surface composition in the physical developer process for latent fingerprint visualization
Abstract: Physical developer (PD) is a latent fingerprint development technique that is highly effective on paper and related surfaces, notably banknotes. The process exploits a redox reaction in which Ag(I) ions in solution are reduced by Fe(II), resulting in deposition of metallic silver on fingerprint residue on the surface. The standard formulation includes both a cationic and non-ionic surfactant, whose presence is critical to formulation stability and efficacy, but whose role is poorly understood. However, the surfactant adsorption can be expected to play a significant role. Here, we seek to extend our study from a successful initial experiment studying the cationic surfactant alone to understand the competitive nature of adsorption between the two surfactants on a silver surface using specular neutron reflectivity. The outcomes will guide optimization of the PD and derivative process.
Principal Investigator: Professor Arthur Hillman
Local Contact: Dr Mario Campana
Local Contact: Dr Rebecca Welbourn
Experimenter: Dr Jodie Coulston
Experimenter: Dr Andrew Ballantyne
Local Contact: Dr Maxmilian Skoda
Experimenter: Professor Karl Ryder
Experimenter: Dr Rob Barker
Experimenter: Dr Rachel Sapstead
DOI: 10.5286/ISIS.E.RB1620431
ISIS Experiment Number: RB1620431
Part DOI | Instrument | Public release date | Download Link |
---|---|---|---|
10.5286/ISIS.E.82369104 | INTER | 06 November 2019 | Download |
10.5286/ISIS.E.82441295 | INTER | 23 November 2019 | Download |
10.5286/ISIS.E.83681467 | SURF | 27 March 2020 | Download |
Publisher: STFC ISIS Neutron and Muon Source
Data format: RAW/Nexus
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Data Citation
The recommended format for citing this dataset in a research
publication is as:
[author], [date], [title], [publisher],
[doi]
For Example:
Professor Arthur Hillman et al; (2016): Surface composition in the physical developer process for latent fingerprint visualization, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB1620431
Data is released under the CC-BY-4.0 license.