journal article·2024-07Open access

Printing of In Situ Functionalized Mesoporous Silica with Digital Light Processing for Combinatorial Sensing

Lucy Zhao, Dieter Spiehl, Marion C. Kohnen, Marcelo Ceolin, Joanna J. Mikolei, Raheleh Pardehkhorram, Annette Andrieu‐Brunsen

Small· Volume 20· Issue 28

Abstract

Abstract Combinatorial sensing is especially important in the context of modern drug development to enable fast screening of large data sets. Mesoporous silica materials offer high surface area and a wide range of functionalization possibilities. By adding structural control, the combination of structural and functional control along all length scales opens a new pathway that permits larger amounts of analytes being tested simultaneously for complex sensing tasks. This study presents a fast and simple way to produce mesoporous silica in various shapes and sizes between 0.27–6 mm by using light‐induced sol‐gel chemistry and digital light processing (DLP). Shape‐selective functionalization of mesoporous silica is successfully carried out either after printing using organosilanes or in situ while printing through the use of functional mesopore template for the in situ functionalization approach. Shape‐selective adsorption of dyes is shown as a demonstrator toward shape selective screening of potential analytes.
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Research context

OpenAlex topics: Mesoporous Materials and Catalysis · Analytical Chemistry and Sensors · Diatoms and Algae Research

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Ernst‐Berl Institut für Technische und Makromolekulare Chemie Makromolekulare Chemie – Smart Membranes Peter‐Grünberg‐Str. 8 D‐64287 Darmstadt Germany

Institut für Druckmaschinen und Druckverfahren – IDD Technische Universität Darmstadt Magdalenenstr. 2 D‐64289 Darmstadt Germany

Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas Universidad Nacional de La Plata and CONICET Diag. 113 y 64 La Plata B1900 Argentina

Funding

European Research Council · H2020 European Research Council

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