A versatile microfluidic-based flow reactor platform to enable accelerated studies for nanomaterial development
Neal Munyebvu a, Philip Howes a
a London South Bank University, Borough Road, 103, United Kingdom
Materials for Sustainable Development Conference (MATSUS)
Proceedings of MATSUS Fall 2023 Conference (MATSUSFall23)
#NANOFUN - Functional Nanomaterials: from optoelectronics to bio- and quantum applications
Torremolinos, Spain, 2023 October 16th - 20th
Organizers: Milena Arciniegas, Iwan Moreels and Gabriele Raino
Poster, Neal Munyebvu, 340
Publication date: 18th July 2023

Nanomaterials have emerged as vital components in various scientific and technological applications, their properties intricately linked to their size, shape, and dispersity. The use of microfluidics and flow reactors has proven invaluable in this context, offering precise control over nanomaterial properties [1]. Our research introduces a custom automated flow reactor platform integrated with online optical spectrometry for in-situ studies, facilitating the accelerated development of diverse nanomaterials.

This platform employs syringe-based delivery of precursors, enabling the synthesis of a wide range of nanomaterials. Our investigations span noble metal nanoparticles (Ag), metal oxides (CuO), I-III-VI semiconductor quantum dots (AgInS2), and metal halide perovskites (CsPbBr3), showcasing its adaptability across material classes.

A key aspect of our research looks at understanding how flow reactor engineering influences nanomaterial properties. Leveraging the enhanced mass and thermal transfer capabilities in flow, we explore not only the reactor's influence but also aim to improve the reproducibility and repeatability of nanomaterial synthesis.

Moreover, our flow reactor's capabilities extend to automated parameter screening, enabling experiments across a broad parameter space using different design of experiment methods. With a segmented flow approach, it can conduct hundreds of experiments daily, facilitating multi-dimensional parameter screening. The next phase involves harnessing big data and AI-driven optimization [1], allowing the reactor to seek global optima or minima for the desired nanomaterial properties.

Our versatile microfluidic-based flow reactor platform, combined with in-situ optical spectrometry and automated parameter screening, empowers researchers to accelerate the research and development of a wide array of nanomaterials. This technology holds promise for advancing nanomaterial science and its applications in various fields, offering flexibility and precision in nanomaterial synthesis and optimization.

 

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