Title |
Cyanoacrylate fuming method for detection of latent fingermarks: a review
|
---|---|
Published in |
Egyptian Journal of Forensic Sciences, July 2017
|
DOI | 10.1186/s41935-017-0009-7 |
Pubmed ID | |
Authors |
Gurvinder Singh Bumbrah |
Abstract |
Cyanoacrylate, also called super glue, fuming is a chemical method for the detection of latent fingermarks on non-porous surfaces such as glass, plastic etc. The method relies on the deposition of polymerized cyanoacrylate ester on residues of latent fingermarks. The method develops clear, stable, white colored fingerprints. However, several post-treatement procedures can be used to improve the contrast of developed prints. In addition to it, some pre-treatment procedures can also be used to develop aged latent fingermarks. It is an efficient, non-destrcutive and excellent procedure for developing latent fingermarks. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 273 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 273 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 64 | 23% |
Student > Master | 31 | 11% |
Student > Postgraduate | 16 | 6% |
Student > Ph. D. Student | 13 | 5% |
Researcher | 8 | 3% |
Other | 24 | 9% |
Unknown | 117 | 43% |
Readers by discipline | Count | As % |
---|---|---|
Chemistry | 54 | 20% |
Biochemistry, Genetics and Molecular Biology | 31 | 11% |
Agricultural and Biological Sciences | 8 | 3% |
Pharmacology, Toxicology and Pharmaceutical Science | 6 | 2% |
Engineering | 5 | 2% |
Other | 28 | 10% |
Unknown | 141 | 52% |