Micron-scale patterning of colloidal quantum dots (QDs) is extremely important for the fabrication of high-performance Quantum dot Light-Emitting Diode (QLED) displays, biosensing, and super-resolution imaging. Thus, several nondestructive methods have been recently proposed, such as spatial self-organization. However, none of them can be useful for biofunctionalization or nanoimaging. To address this limitation, we propose a method to create micropatterns of QDs of any shape and size. UV photolithography assisted by a digital micromirror device (DMD) and silanization allow creating an adhesive layer, on which QDs micropatterns can be assembled with a 2 μm resolution. The patterns are composed of a monolayer of CdSe/CdS/CdZnS/ZnS core/multishell QDs (7 ± 1 nm in diameter, emitting at 590 nm) with a high surface density (typically 4000 QDs/μm2). We also demonstrate that it is possible to reversibly bind any kind of His-Tagged proteins on the QDs surface. This is highlighted by measuring FRET (Förster Resonance Energy Transfer) with a dedicated polymer exhibiting on one end Alexa Fluor 647 (AF647) and on the other end eight imidazole cycles, allowing chelation on the quantum dots’ surface. Therefore, this patterning protocol provides a path to combine nanoimaging with cell patterning through a relevant biofunctionalization.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.