Abstract

Understanding the functionality of immobilized enzymes with spatiotemporal resolution and under operando conditions is an unmet need in applied biocatalysis, as well as priceless information to guide the optimization of heterogeneous biocatalysts for industrial purposes. Unfortunately, enzyme immobilization still relies on trial-and-error approximations that prevail over rational designs. Hence, a modern fabrication process to achieve efficient and robust heterogeneous biocatalysts demands comprehensive characterization techniques to track and understand the immobilization process at the protein–material interface. Recently, our group has developed a new generation of self-sufficient heterogeneous biocatalysts based on alcohol dehydrogenases co-immobilized with nicotinamide cofactors on agarose porous microbeads. Harnessing the autofluorescence of NAD+(P)H and using time-lapse fluorescence microscopy, enzyme activity toward the redox cofactors can be monitored inside the beads. To analyze these data, herein we present an image analytical tool to quantify the apparent Michaelis–Menten parameters of alcohol dehydrogenases co-immobilized with NAD(P)+/H at the single-particle level. Using this tool, we found a strong negative correlation between the apparent catalytic performance of the immobilized enzymes and the bead radius when using exogenous bulky substrates in reduction reactions. Therefore, applying image analytics routines to microscopy studies, we can directly unravel the functional heterogeneity of different heterogeneous biocatalyst samples tested under different reaction conditions.

Highlights

  • Heterogeneous biocatalysis is an attractive approach to perform more efficient, robust, and sustainable chemical processes [1]

  • Our fluorescence microscopy methodology to study the the activity of Nicotinamide-adenine-dinucleotide sodium salt (NAD)(P)H-dependent alcohol dehydrogenases co-immobilized with their activity of NAD(P)H-dependent alcohol dehydrogenases co-immobilized with their corresponding corresponding cofactors on porous microbeads

  • We manually analyzebead this redox cofactorsredox on porous microbeads we manually analyze this information information bead by bead, suffering user bias in the final results. To automate this process and set by bead, suffering user bias in the final results. To automate this process and set automatic thresholds, automatic thresholds, we have developed an innovative work-flow under the environment we have developed an innovative work-flow under the Image J environment to select the contours to the contours of the beads as(ROIs) alltemporal the frames of one temporal image of select the beads as regions of interest inof allinterest the frames of in one image stack

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Summary

Introduction

Heterogeneous biocatalysis is an attractive approach to perform more efficient, robust, and sustainable chemical processes [1]. For this reason, enzyme technologists are encouraged to develop. Catalysts 2019, 9, 896 highly active and stable heterogeneous biocatalysts [2]; molecular characterization of the supported enzymes is rather limited. Several authors have deeply reviewed different techniques for the advanced characterization of heterogeneous biocatalysts [5,6,7]. They summarized an analytical toolbox that provides valuable information about the function, the structure, and the dynamics of the immobilized proteins. Many of these techniques rely on the recent advances in fluorescence microscope applied for fundamental biological studies that inform about the spatial, dynamic, and structural organization of proteins across mimetic biostructures [8,9,10,11,12]

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