TY - JOUR
T1 - On-demand Milifluidic Synthesis of Quantum Dots in Digital Droplet Reactors
AU - Richard, Craig
AU - McGee, Rachel
AU - Goenka, Aditya
AU - Mukherjee, Prabuddha
AU - Bhargava, Rohit
N1 - Publisher Copyright:
Copyright © 2019 American Chemical Society.
PY - 2020/3/4
Y1 - 2020/3/4
N2 - Colloidal quantum dots (QDs) offer dramatic potential due to their size-dependent optical properties. Lack of facile synthesis methods for precise and reproducible size and composition, however, presents an extant barrier to their widespread use. Here, we report the use of droplet microfluidics for the simple and highly reproducible synthesis of cadmium sulfide (CdS) and cadmium selenide (CdSe) QDs without the use of harsh solvents and in ambient conditions. Our approach uses a liquid-liquid barrier between two immiscible liquids to generate a digital droplet reactor. This reaction droplet is easily controlled and manipulated and offers enhanced mixing when coupled to a helical mixer, resulting in a significant reduction in size distribution compared to benchtop procedures. Furthermore, QD characteristics have been modeled and predicted based on the parameters of the microfluidic device. We believe this method overcomes the current manufacturing challenges with synthesizing nanostructures, which is required for the next generation of nanosensors.
AB - Colloidal quantum dots (QDs) offer dramatic potential due to their size-dependent optical properties. Lack of facile synthesis methods for precise and reproducible size and composition, however, presents an extant barrier to their widespread use. Here, we report the use of droplet microfluidics for the simple and highly reproducible synthesis of cadmium sulfide (CdS) and cadmium selenide (CdSe) QDs without the use of harsh solvents and in ambient conditions. Our approach uses a liquid-liquid barrier between two immiscible liquids to generate a digital droplet reactor. This reaction droplet is easily controlled and manipulated and offers enhanced mixing when coupled to a helical mixer, resulting in a significant reduction in size distribution compared to benchtop procedures. Furthermore, QD characteristics have been modeled and predicted based on the parameters of the microfluidic device. We believe this method overcomes the current manufacturing challenges with synthesizing nanostructures, which is required for the next generation of nanosensors.
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U2 - 10.1021/acs.iecr.9b04230
DO - 10.1021/acs.iecr.9b04230
M3 - Article
C2 - 33911342
AN - SCOPUS:85081595928
SN - 0888-5885
VL - 59
SP - 3730
EP - 3735
JO - Industrial and Engineering Chemistry Research
JF - Industrial and Engineering Chemistry Research
IS - 9
ER -