TY - JOUR
T1 - pH Tunable Patterning of Quantum Dots
AU - Torun, Ilker
AU - Huang, Conan
AU - Kalay, Mustafa
AU - Shim, Moonsub
AU - Onses, M. Serdar
N1 - This work was supported by the Research Fund of the Erciyes University (Project Number FDK‐2021‐10759). I.T. acknowledges the financial support from the Scientific and Technological Research Council of Turkey (TUBITAK) 2211‐A National PhD Scholarship Program (app. no: 1649B031901446) and 2214‐A International Research Fellowship Programme (app. no: 1059B142000352). I.T. acknowledges the mentorship of Prof. John A. Rogers. M.S. and C.H. gratefully acknowledge financial support from the U.S. National Science Foundation (Grant No. 2132538). The material presented in this work was carried out in part in the Materials Research Laboratory Central Research Facilities, the Micro‐Nano‐Mechanical Systems Cleanroom Laboratory within the Department of Mechanical Science and Engineering, and the Microscopy Suite in the Beckman Institute for Advanced Science and Technology at the University of Illinois.
This work was supported by the Research Fund of the Erciyes University (Project Number FDK-2021-10759). I.T. acknowledges the financial support from the Scientific and Technological Research Council of Turkey (TUBITAK) 2211-A National PhD Scholarship Program (app. no: 1649B031901446) and 2214-A International Research Fellowship Programme (app. no: 1059B142000352). I.T. acknowledges the mentorship of Prof. John A. Rogers. M.S. and C.H. gratefully acknowledge financial support from the U.S. National Science Foundation (Grant No. 2132538). The material presented in this work was carried out in part in the Materials Research Laboratory Central Research Facilities, the Micro-Nano-Mechanical Systems Cleanroom Laboratory within the Department of Mechanical Science and Engineering, and the Microscopy Suite in the Beckman Institute for Advanced Science and Technology at the University of Illinois.
PY - 2024/1/11
Y1 - 2024/1/11
N2 - Patterning of quantum dots (QDs) is essential for many, especially high-tech, applications. Here, pH tunable assembly of QDs over functional patterns prepared by electrohydrodynamic jet printing of poly(2-vinylpyridine) is presented. The selective adsorption of QDs from water dispersions is mediated by the electrostatic interaction between the ligand composed of 3-mercaptopropionic acid and patterned poly(2-vinylpyridine). The pH of the dispersion provides tunability at two levels. First, the adsorption density of QDs and fluorescence from the patterns can be modulated for pH > ≈4. Second, patterned features show unique type of disintegration resulting in randomly positioned features within areas defined by the printing for pH ≤ ≈4. The first capability is useful for deterministic patterning of QDs, whereas the second one enables hierarchically structured encoding of information by generating stochastic features of QDs within areas defined by the printing. This second capability is exploited for generating addressable security labels based on unclonable features. Through image analysis and feature matching algorithms, it is demonstrated that such patterns are unclonable in nature and provide a suitable platform for anti-counterfeiting applications. Collectively, the presented approach not only enables effective patterning of QDs, but also establishes key guidelines for addressable assembly of colloidal nanomaterials.
AB - Patterning of quantum dots (QDs) is essential for many, especially high-tech, applications. Here, pH tunable assembly of QDs over functional patterns prepared by electrohydrodynamic jet printing of poly(2-vinylpyridine) is presented. The selective adsorption of QDs from water dispersions is mediated by the electrostatic interaction between the ligand composed of 3-mercaptopropionic acid and patterned poly(2-vinylpyridine). The pH of the dispersion provides tunability at two levels. First, the adsorption density of QDs and fluorescence from the patterns can be modulated for pH > ≈4. Second, patterned features show unique type of disintegration resulting in randomly positioned features within areas defined by the printing for pH ≤ ≈4. The first capability is useful for deterministic patterning of QDs, whereas the second one enables hierarchically structured encoding of information by generating stochastic features of QDs within areas defined by the printing. This second capability is exploited for generating addressable security labels based on unclonable features. Through image analysis and feature matching algorithms, it is demonstrated that such patterns are unclonable in nature and provide a suitable platform for anti-counterfeiting applications. Collectively, the presented approach not only enables effective patterning of QDs, but also establishes key guidelines for addressable assembly of colloidal nanomaterials.
KW - colloidal quantum dots
KW - encoded surfaces
KW - pH
KW - polymers
KW - printing
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U2 - 10.1002/smll.202305237
DO - 10.1002/smll.202305237
M3 - Article
C2 - 37658505
AN - SCOPUS:85169313860
SN - 1613-6810
VL - 20
JO - Small
JF - Small
IS - 2
M1 - 2305237
ER -