Journal
ACS APPLIED MATERIALS & INTERFACES
Volume 13, Issue 13, Pages 15701-15708Publisher
AMER CHEMICAL SOC
DOI: 10.1021/acsami.1c02390
Keywords
quantum dots; inkjet printing; anti-counterfeiting; physical unclonable function; labyrinth pattern
Funding
- National Natural Science Foundation of China [62075043]
- National Key Research and Development Program of China [2016YFB0401600]
Ask authors/readers for more resources
The study presents a triple-level unclonable anti-counterfeiting system utilizing inkjet printing technique, glass microspheres, and quantum dots to create multiple layers of security features, which can resist forgery and be easily authenticated.
Optical security labels play a significant role in protecting both our wealth and health. However, simultaneously meeting the requirements including low-cost fabrication, easy detection, and high-level security is still challenging for security labels. Here, we design an unclonable anti-counterfeiting system with triple-level security by using the inkjet printing technique, which can be authenticated by naked eyes, a portable microscope, and a fluorescence microscope. These labels are achieved by printing microscale quantum dot (QD) ink droplets on premodified substrates with random-distributed glass microspheres. Due to the unique capillary action induced by the glass microspheres, QDs in the ink droplets are deposited around the microspheres, forming microscale multicircular patterns. Multiple pinning of QDs at the three-phase contact lines appears during the evaporation of the droplet, resulting in the formation of a nanoscale labyrinthine pattern around the microspheres. The nanoscale labyrinth pattern and the microscale multicircular microsphere array, together with the printed macroscopic image, constitute a triple-level progressive anti-counterfeiting system. Moreover, the system is compatible with an artificial intelligence-based identification strategy that allows rapid identification and verification of the unclonable security labels.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available