Abstract:Biological degradation of cellulosic materials relies
on the molecular-mechanistic
principle that internally chain-cleaving endocellulases work synergistically
with chain end-cleaving exocellulases in polysaccharide chain depolymerization.
How endo–exo synergy becomes effective in the deconstruction
of a solid substrate that presents cellulose chains assembled into
crystalline material is an open question of the mechanism, with immediate
implications on the bioconversion efficiency of cellulases. Here,
based o… Show more
“…Next, we increased the illumination power to detect cellulase cluster formation reported by others. 42 At higher illumination, the bleaching time of single fluorophores was, on average, comparable to or even shorter than the residence time of the enzyme (Figure S11). However, we were able to calculate the k OFF of the enzymes by correcting for fluorophore bleaching (Figure 5a).…”
Section: ■ Resultsmentioning
confidence: 94%
“…It was recently shown using AFM that the presence of Cel7B and Cel7A in a mixture leads to the formation of transient clusters of, on average, three enzymes. 42 In the scenario where enzymes form clusters when both types of enzymes are present, the measured reduction in the frequency of new binding events might be due to the fact that a spot now contains several Cel7A enzymes. This does not imply that the total amount of enzymes adsorbed is diminished.…”
Section: ■ Discussionmentioning
confidence: 99%
“…This could be the direct result of CBH cluster formation in synergistic mixtures as shown previously by high-speed AFM. 42 ■ METHODS Enzyme Variant Design, Expression, and Purification. The enzymes Cel7A and Cel7B are the main CBH and EG from T. reesei (Genbank ID CAH10320.1 and AAA34212.1, respectively).…”
Section: ■ Introductionmentioning
confidence: 99%
“…These results show great variation but are only focused on one type of enzyme, namely, the CBH Cel7A and therefore provide no single molecule data on the synergy between different classes of cellulases. To address this, Zajki-Zechmeister et al used high-speed AFM to show that clusters of enzymes are formed in mixtures of exo-and endoglucanases as they synergistically act on the cellulose surface 42 and that the exoglucanases' processive cycle accelerates about 100 times compared to that when acting alone.…”
Enzymatic degradation of cellulosic biomass is a well-established route for the sustainable production of biofuels, chemicals, and materials. A strategy employed by nature and industry to achieve an efficient degradation of cellulose is that cellobiohydrolases (or exocellulases), such as Cel7A, work synergistically with endoglucanases, such as Cel7B, to achieve the complete degradation of cellulose. However, a complete mechanistic understanding of this exo−endo synergy is still lacking. Here, we used single-molecule fluorescence microscopy to quantify the binding kinetics of Cel7A on cellulose when it is acting alone on the cellulose fibrils and in the presence of its synergy partner, the endoglucanase Cel7B. To this end, we used a fluorescently tagged Cel7A and studied its binding in the presence of the unlabeled Cel7B. This provided the single-molecule data necessary for the estimation of the rate constants of association k ON and dissociation k OFF of Cel7A for the substrate. We show that the presence of Cel7B does not impact the dissociation rate constant, k OFF . But, the association rate of Cel7A decreases by a factor of 2 when Cel7B is present at a molar proportion of 10:1. This ratio has previously been shown to lead to synergy. This decrease in association rate is observed in a wide range of total enzyme concentrations, from sub nM to μM concentrations. This decrease in k ON is consistent with the formation of cellulase clusters recently observed by others using atomic force microscopy.
“…Next, we increased the illumination power to detect cellulase cluster formation reported by others. 42 At higher illumination, the bleaching time of single fluorophores was, on average, comparable to or even shorter than the residence time of the enzyme (Figure S11). However, we were able to calculate the k OFF of the enzymes by correcting for fluorophore bleaching (Figure 5a).…”
Section: ■ Resultsmentioning
confidence: 94%
“…It was recently shown using AFM that the presence of Cel7B and Cel7A in a mixture leads to the formation of transient clusters of, on average, three enzymes. 42 In the scenario where enzymes form clusters when both types of enzymes are present, the measured reduction in the frequency of new binding events might be due to the fact that a spot now contains several Cel7A enzymes. This does not imply that the total amount of enzymes adsorbed is diminished.…”
Section: ■ Discussionmentioning
confidence: 99%
“…This could be the direct result of CBH cluster formation in synergistic mixtures as shown previously by high-speed AFM. 42 ■ METHODS Enzyme Variant Design, Expression, and Purification. The enzymes Cel7A and Cel7B are the main CBH and EG from T. reesei (Genbank ID CAH10320.1 and AAA34212.1, respectively).…”
Section: ■ Introductionmentioning
confidence: 99%
“…These results show great variation but are only focused on one type of enzyme, namely, the CBH Cel7A and therefore provide no single molecule data on the synergy between different classes of cellulases. To address this, Zajki-Zechmeister et al used high-speed AFM to show that clusters of enzymes are formed in mixtures of exo-and endoglucanases as they synergistically act on the cellulose surface 42 and that the exoglucanases' processive cycle accelerates about 100 times compared to that when acting alone.…”
Enzymatic degradation of cellulosic biomass is a well-established route for the sustainable production of biofuels, chemicals, and materials. A strategy employed by nature and industry to achieve an efficient degradation of cellulose is that cellobiohydrolases (or exocellulases), such as Cel7A, work synergistically with endoglucanases, such as Cel7B, to achieve the complete degradation of cellulose. However, a complete mechanistic understanding of this exo−endo synergy is still lacking. Here, we used single-molecule fluorescence microscopy to quantify the binding kinetics of Cel7A on cellulose when it is acting alone on the cellulose fibrils and in the presence of its synergy partner, the endoglucanase Cel7B. To this end, we used a fluorescently tagged Cel7A and studied its binding in the presence of the unlabeled Cel7B. This provided the single-molecule data necessary for the estimation of the rate constants of association k ON and dissociation k OFF of Cel7A for the substrate. We show that the presence of Cel7B does not impact the dissociation rate constant, k OFF . But, the association rate of Cel7A decreases by a factor of 2 when Cel7B is present at a molar proportion of 10:1. This ratio has previously been shown to lead to synergy. This decrease in association rate is observed in a wide range of total enzyme concentrations, from sub nM to μM concentrations. This decrease in k ON is consistent with the formation of cellulase clusters recently observed by others using atomic force microscopy.
“…The nanoscale precision provided by AFM allows for a detailed examination of the surface topography, identifying irregularities that could otherwise go unnoticed with less sensitive techniques. 18 AFM enables a more comprehensive and precise assessment of waveguide performance by providing a means to quantify and visualise the roughness accurately. 12 The sample's roughness is evaluated using the Anton Paar Tosca 400 Atomic Force Microscope.…”
Integrated photonics features applications in high-speed telecommunication, computing, and sensing. These devices are ultimately limited by the optical loss occurring in the waveguide structures. One of its primary sources is surface-roughness-induced scattering and bend-losses. Surface roughness is unavoidably introduced during deposition, mainly during etching and lithographic steps. In photonic integrated circuits, tight bends enable a compact footprint yet increase the mode mismatch loss , radiation loss and scattering loss. Previously, the bend losses were estimated from a parametric model. However, it lacks flexibility w.r.t. the waveguide platform. We apply a recently developed model of the surface-roughness-induced scattering in guided-mode systems to substantiate the dependence of the scattering loss on the bend-radius for waveguides based on a silicon nitride platform. The model incorporates the surface roughness via its autocorrelation. Further, it inherently considers the overlap of the modes with the roughness. As waveguide material, we used both plasma-enhanced CVD silicon nitride as a low-temperature, back-end-compatible process, and low-pressure CVD silicon nitride, as a high-temperature frontend process. As bottom and top cladding, we deposited high-density plasma (HDP) and sputtered silicon oxide, respectively. The latter offers flexibility to adapt the platform for sensing purposes. We evaluate different waveguide widths, bend radii, and wavelengths in the visible and near-infrared ranges. We set the observed propagation losses into context with estimated absorption, scattering, and mode-overlap loss sources and point to their shifting importance at the measured wavelengths. We believe that this model allows to increase our knowledge about the various aspects of loss in guided mode systems and predict the propagation loss based on foregoing absorption and roughness measurements.
Processive catalysts remain attached to a substrate and perform multiple rounds of catalysis. They are abundant in nature. This review highlights artificial processive catalytic systems, which can be divided into (A) catalytic rings that move along a polymer chain, (B) catalytic pores that hold polymer chains and decompose them, (C) catalysts that remain attached to and move around a cyclic substrate via supramolecular interactions, and (D) anchored catalysts that remain in contact with a substrate via multiple catalytic interactions (see frontispiece).
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