Next Article in Journal
Investigation of Position Sensing and Energy Harvesting of a Flexible Triboelectric Touch Pad
Next Article in Special Issue
Realization of the Kohn’s Theorem in Ge/Si Quantum Dots with Hole Gas: Theory and Experiment
Previous Article in Journal
Markers of Oxidative Stress in the Exhaled Breath Condensate of Workers Handling Nanocomposites
Open AccessArticle

The Recognition of Sweat Latent Fingerprints with Green-Emitting Carbon Dots

by Dan Zhao 1,2,†, Wenting Ma 1,2,† and Xincai Xiao 1,2,*
1
School of Pharmaceutical Sciences, South-Central University for Nationalities, Wuhan 430074, China
2
National Demonstration Center for Experimental Ethnopharmacology Education (South-Central University for Nationalities), Wuhan 430074, China
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Nanomaterials 2018, 8(8), 612; https://doi.org/10.3390/nano8080612
Received: 9 July 2018 / Revised: 2 August 2018 / Accepted: 9 August 2018 / Published: 12 August 2018
(This article belongs to the Special Issue Applications of Quantum Dots)
The recognition of fingerprints has played an extremely important role in criminal investigations, due to its uniqueness. This paper reports on the recognition of sweat latent fingerprints using green-emitting, environment-friendly carbon dots prepared with DL-malic acid and ethylenediamine, and the exploration of impacting factors in the development process of fingerprints. The experiments showed that better fingerprint images could be obtained when the latent fingerprints are developed in green-emitting carbon dots with pH 9 for 30 min, at room temperature. The reported method was also effective for latent fingerprints on a variety of substrates, as well as for those water-immersed ones, where the developed fingerprint remained stable after long-term preservation. Furthermore, the fluorescent three-dimensional fingerprint image could provide direct and simple evidence on pressing habits. The objective of this paper was to present this method. The method may help to narrow the range of suspects during criminal investigations and in forensic science. View Full-Text
Keywords: green; carbon dots; sweat latent fingerprints; forensic science green; carbon dots; sweat latent fingerprints; forensic science
Show Figures

Figure 1

MDPI and ACS Style

Zhao, D.; Ma, W.; Xiao, X. The Recognition of Sweat Latent Fingerprints with Green-Emitting Carbon Dots. Nanomaterials 2018, 8, 612.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop