Transformations to reduce the effect of particle size in mid-infrared spectra of biomass.

Fourier Transform InfraRed (FTIR) spectroscopy is a very powerful technique for the characterization of the chemical composition of biomass and its modifications occurring during thermochemical and chemical pretreatments. However, method development is necessary to generate reproducible signals that can be used in combination with multivariate techniques (such as principal component analysis, PCA) to extract meaningful information on biomass composition and bond cleavage. Particle size is a great source of spectra variability in FTIR of biomass. The FTIR signal for an array of particle sizes (2-0.075 mm) was evaluated for hardwood and switchgrass, revealing that 0.5 mm renders higher intensity and spectral reproducibility for both the FTIR sampling techniques investigated (ATR and HTS-XT). Furthermore, the suitability of different signal processing approaches to decrease particle size variability of spectral signals was tested (signal normalization, derivation, and their combination). Normalization showed the highest contribution to enhance ATR spectral reproducibility of both biomass, as statistically shown by the 5-fold decrease of the ratio of signal variance with magnitude of spectral features (VM ratio) with respect to the unprocessed signal. Spectral signal analysis in combination with multivariate statistics (PCA) was used to extract information about the chemical differences between hardwood and switchgrass. The agreement of the biomass composition findings from FTIR-PCA and literature wet chemistry results (acid hydrolysis) contributed to corroborating that FTIR combined with PCA is a clean, quick, efficient, and versatile technique with potential to analyze and characterize biomass composition.

Revisiting size-exclusion chromatography for measuring structural changes in raw and pretreated mixed hardwoods and switchgrass.

The study of the biomass porous structure and its role in defining the accessibility of cell-wall-degrading enzymes (CWDEs) to the substrate is very important for understanding the cellulase-cellulose reaction system. Specific pore volume and specific surface area are two important measures of accessibility and a variety of methods have been used to make these measurements. For this study a size exclusion chromatography system was developed to measure specific pore volume and specific surface areas for raw and pretreated mixed-hardwood and switchgrass. Polyethylene glycol (PEG) probes of known molecular diameter (1.8-13 nm) were allowed to diffuse into the pore structure of the various biomass substrate packed in the column and subsequently eluted to generate high resolution concentration measurements with excellent reproducibility. Replicate measurements of probe concentrations from this system consistently yielded coefficient of variance of less than 1.5%. Our results showed that particle size reduction had a smaller influence on the specific pore volume distribution of raw mixed-hardwoods, whereas for switchgrass the larger particles yielded a significantly lower estimate for the pore volume distribution compared to the smaller particles. Our results also clearly showed that our bi-phasic pretreatment yielded the largest increase in pore volume accessibility for mixed-hardwoods relative to switchgrass. From these results a pore size change mechanism was proposed that could explain the influence of size reduction and pretreatment on pore volume measurements.

Modeling enzymatic hydrolysis of lignocellulosic substrates using fluorescent confocal microscopy II: pretreated biomass.

In this study, we extend imaging and modeling work that was done in Part I of this report for a pure cellulose substrate (filter paper) to more industrially relevant substrates (untreated and pretreated hardwood and switchgrass). Using confocal fluorescence microscopy, we are able to track both the structure of the biomass particle via its autofluorescence, and bound enzyme from a commercial cellulase cocktail supplemented with a small fraction of fluorescently labeled Trichoderma reseii Cel7A. Imaging was performed throughout hydrolysis at temperatures relevant to industrial processing (50°C). Enzyme bound predominantly to areas with low autofluorescence, where structure loss and lignin removal had occurred during pretreatment; this confirms the importance of these processes for successful hydrolysis. The overall shape of both untreated and pretreated hardwood and switchgrass particles showed little change during enzymatic hydrolysis beyond a drop in autofluorescence intensity. The permanence of shape along with a relatively constant bound enzyme signal throughout hydrolysis was similar to observations previously made for filter paper, and was consistent with a modeling geometry of a hollowing out cylinder with widening pores represented as infinite slits. Modeling estimates of available surface areas for pretreated biomass were consistent with previously reported experimental results.

Modeling enzymatic hydrolysis of lignocellulosic substrates using confocal fluorescence microscopy I: filter paper cellulose.

Enzymatic hydrolysis is one of the critical steps in depolymerizing lignocellulosic biomass into fermentable sugars for further upgrading into fuels and/or chemicals. However, many studies still rely on empirical trends to optimize enzymatic reactions. An improved understanding of enzymatic hydrolysis could allow research efforts to follow a rational design guided by an appropriate theoretical framework. In this study, we present a method to image cellulosic substrates with complex three-dimensional structure, such as filter paper, undergoing hydrolysis under conditions relevant to industrial saccharification processes (i.e., temperature of 50°C, using commercial cellulolytic cocktails). Fluorescence intensities resulting from confocal images were used to estimate parameters for a diffusion and reaction model. Furthermore, the observation of a relatively constant bound enzyme fluorescence signal throughout hydrolysis supported our modeling assumption regarding the structure of biomass during hydrolysis. The observed behavior suggests that pore evolution can be modeled as widening of infinitely long slits. The resulting model accurately predicts the concentrations of soluble carbohydrates obtained from independent saccharification experiments conducted in bulk, demonstrating its relevance to biomass conversion work.

Hierarchical hybrid peroxidase catalysts for remediation of phenol wastewater.

We report a new family of hierarchical hybrid catalysts comprised of horseradish peroxidase (HRP)-magnetic nanoparticles for advanced oxidation processes and demonstrate their utility in the removal of phenol from water. The immobilized HRP catalyzes the oxidation of phenols in the presence of H2 O2 , producing free radicals. The phenoxy radicals react with each other in a non-enzymatic process to form polymers, which can be removed by precipitation with salts or condensation. The hybrid peroxidase catalysts exhibit three times higher activity than free HRP and are able to remove three times more phenol from water compared to free HRP under similar conditions. In addition, the hybrid catalysts reduce substrate inhibition and limit inactivation from reaction products, which are common problems with free or conventionally immobilized enzymes. Reusability is improved when the HRP-magnetic nanoparticle hybrids are supported on micron-scale magnetic particles, and can be retained with a specially designed magnetically driven reactor. The performance of the hybrid catalysts makes them attractive for several industrial and environmental applications and their development might pave the way for practical applications by eliminating most of the limitations that have prevented the use of free or conventionally immobilized enzymes.

A pore-hindered diffusion and reaction model can help explain the importance of pore size distribution in enzymatic hydrolysis of biomass.

Until now, most efforts to improve monosaccharide production from biomass through pretreatment and enzymatic hydrolysis have used empirical optimization rather than employing a rational design process guided by a theory-based modeling framework. For such an approach to be successful a modeling framework that captures the key mechanisms governing the relationship between pretreatment and enzymatic hydrolysis must be developed. In this study, we propose a pore-hindered diffusion and kinetic model for enzymatic hydrolysis of biomass. When compared to data available in the literature, this model accurately predicts the well-known dependence of initial cellulose hydrolysis rates on surface area available to a cellulase-size molecule. Modeling results suggest that, for particles smaller than 5 × 10(-3) cm, a key rate-limiting step is the exposure of previously unexposed cellulose occurring after cellulose on the surface has hydrolyzed, rather than binding or diffusion. However, for larger particles, according to the model, diffusion plays a more significant role. Therefore, the proposed model can be used to design experiments that produce results that are either affected or unaffected by diffusion. Finally, by using pore size distribution data to predict the biomass fraction that is accessible to degradation, this model can be used to predict cellulose hydrolysis with time using only pore size distribution and initial composition data.

Observing and modeling BMCC degradation by commercial cellulase cocktails with fluorescently labeled Trichoderma reseii Cel7A through confocal microscopy.

Understanding the depolymerization mechanisms of cellulosic substrates by cellulase cocktails is a critical step towards optimizing the production of monosaccharides from biomass. The Spezyme CP cellulase cocktail combined with the Novo 188 ß-glucosidase blend was used to depolymerize bacterial microcrystalline cellulose (BMCC), which was immobilized on a glass surface. The enzyme mixture was supplemented with a small fraction of fluorescently labeled Trichoderma reseii Cel7A, which served as a reporter to track cellulase binding onto the physical structure of the cellulosic substrate. Both micro-scale imaging and bulk experiments were conducted. All reported experiments were conducted at 50 °C, the optimal temperature for maximum hydrolytic activity of the enzyme cocktail. BMCC structure was observed throughout degradation by labeling it with a fluorescent dye. This method allowed us to measure the binding of cellulases in situ and follow the temporal morphological changes of cellulose during its depolymerization by a commercial cellulase mixture. Three kinetic models were developed and fitted to fluorescence intensity data obtained through confocal microscopy: irreversible and reversible binding models, and an instantaneous binding model. The models were successfully used to predict the soluble sugar concentrations that were liberated from BMCC in bulk experiments. Comparing binding and kinetic parameters from models with different assumptions to previously reported constants in the literature led us to conclude that exposing new binding sites is an important rate-limiting step in the hydrolysis of crystalline cellulose.

Thermobifida fusca cellulases exhibit limited surface diffusion on bacterial micro-crystalline cellulose.

Elucidation of cellulase-cellulose interactions is key to modeling biomass deconstruction and in understanding the processes that lead to cellulase inactivation. Here, fluorescence recovery after photobleaching and single molecule tracking (SMT) experiments are used to assess the surface diffusion of Thermobifida fusca cellulases on bacterial micro-crystalline cellulose. Our results show that cellulases exhibit limited surface diffusion when bound to crystalline cellulose and that a large fraction of the cellulases remain immobile even at temperatures optimal for catalysis. A comparison of our experimental results to Monte Carlo (MC) simulations, which use published diffusion coefficients to model cellulase displacements, shows that even those enzymes that are mobile on the cellulose surface exhibit significantly slower diffusive motions than previously reported. In addition, it is observed that the enzymes that show significant displacements exhibit complex, non-steady surface motions, which suggest that cellulose-bound cellulases exist in molecular states with different diffusive characteristics. These results challenge the notion that cellulases can freely diffuse over cellulose surfaces without catalyzing bond cleavage.

Investigation of the porous structure of cellulosic substrates through confocal laser scanning microscopy.

At the most fundamental level, saccharification occurs when cell wall degrading enzymes (CWDEs) diffuse, bind to and react on readily accessible cellulose fibrils. Thus, the study of the diffusive behavior of solutes into and out of cellulosic substrates is important for understanding how biomass pore size distribution affects enzyme transport, binding, and catalysis. In this study, fluorescently labeled dextrans with molecular weights of 20, 70, and 150 kDa were used as probes to assess their diffusion into the porous structure of filter paper. Fluorescence microscopy with high numerical aperture objectives was used to generate high temporal and spatial resolution datasets of probe concentrations versus time. In addition, two diffusion models, including a simple transient diffusion and a pore grouping diffusion models, were developed. These models and the experimental datasets were used to investigate solute diffusion in macro- and micro-pores. Nonlinear least squares fitting of the datasets to the simple transient model yielded diffusion coefficient estimates that were inadequate for describing the initial fast diffusion and the later slow diffusion rates observed; on the other hand, nonlinear least squares fitting of the datasets to the pore grouping diffusion model yielded estimations of the micro-pore diffusion coefficient that described the inherently porous structure of plant-derived cellulose. In addition, modeling results show that on average 75% of the accessible pore volume is available for fast diffusion without any significant pore hindrance. The method developed can be applied to study the porous structure of plant-derived biomass and help assess the diffusion process for enzymes with known sizes.

Two-temperature stage biphasic CO2-H2O pretreatment of lignocellulosic biomass at high solid loadings.

Most biomass pretreatment processes for monosaccharide production are run at low-solid concentration (<10 wt%) and use significant amounts of chemical catalysts. Biphasic CO(2) -H(2) O mixtures could provide a more sustainable pretreatment medium while using high-solid contents. Using a stirred reactor for high solids (40 wt%, biomass water mixture) biphasic CO(2)-H(2) O pretreatment of lignocellulosic biomass allowed us to explore the effects of particle size and mixing on mixed hardwood and switchgrass pretreatment. Subsequently, a two-temperature stage pretreatment was introduced. After optimization, a short high-temperature stage at 210°C (16 min for hardwood and 1 min for switchgrass) was followed by a long low-temperature stage at 160°C for 60 min. Glucan to glucose conversion yields of 83% for hardwood and 80% for switchgrass were obtained. Total molar sugar yields of 65% and 55% were obtained for wood and switchgrass, respectively, which consisted of a 10% points improvement over those obtained during our previous study despite a 10-fold increase in particle size. These yields are similar to those obtained with other major pretreatment technologies for wood and within 10% of major technologies for switchgrass despite the absence of chemical catalysts, the use of large particles (0.95 cm) and high solid contents (40 wt%).

Determination of the molecular states of the processive endocellulase Thermobifida fusca Cel9A during crystalline cellulose depolymerization.

Detailed understanding of cell wall degrading enzymes is important for their modeling and industrial applications, including in the production of biofuels. Here we used Cel9A, a processive endocellulase from Thermobifida fusca, to demonstrate that cellulases that contain a catalytic domain (CD) attached to a cellulose binding module (CBM) by a flexible linker exist in three distinct molecular states. By measuring the ability of a soluble competitor to reduce Cel9A activity on an insoluble substrate, we show that the most common state of Cel9A is bound via its CBM, but with its CD unoccupied by the insoluble substrate. These findings are relevant for kinetic modeling and microscopy studies of modular glycoside hydrolases.

Enzymatic transformations of cellulose assessed by quantitative high-throughput fourier transform infrared spectroscopy (QHT-FTIR).

Enzymatic hydrolysis of bacterial microcrystalline cellulose was performed with the thermophile enzyme system of Thermobifida fusca Cel5A (a classical endocellulase), Cel6B (a classical exocellulase), Cel9A (a processive endoglucanase), and a synergistic mixture of endo- and exocellulases. Different concentrations of enzymes were used to vary the extent of hydrolysis. Following standardization, the concentration of cellulose was directly correlated to the absorbance of the cellulose signals. Crystallinity indexes (Lateral Order Index (LOI), Total Crystallinity Index, Hydrogen Bonding Index), allomorphic composition, conversion of specific atomic bonds (including the ß-glucosidic bonds) were extracted from the spectral data obtained by QHT-FTIR. By quantifying the disruption of the H-bonding in complement to the sugar production, a more dynamic and complex picture of the role of cellulases in the hydrolysis of cellulose was demonstrated. The disruption of the H-bonding within the cellulose matrix appears as a quantifiable activity of the enzymes which was not correlated with the production of sugars in solution. The results also demonstrate that Cel9A activities from the cellulose transformation standpoint were partially similar to the activities of the synergistic mixture. In addition, Cel9A preferentially degraded the I(α) fraction of the crystalline cellulose while the Cel5A and Cel6B synergistic mixture preferentially degraded the I(ß) fraction.

High-solids biphasic CO2-H2O pretreatment of lignocellulosic biomass.

A high pressure (200 bar) CO(2)-H(2)O process was developed for pretreating lignocellulosic biomass at high-solid contents, while minimizing chemical inputs. Hardwood was pretreated at 20 and 40 (wt.%) solids. Switchgrass, corn stover, big bluestem, and mixed perennial grasses (a co-culture of big bluestem and switchgrass) were pretreated at 40 (wt.%) solids. Operating temperatures ranged from 150 to 250 degrees C, and residence times from 20 s to 60 min. At these conditions a biphasic mixture of an H(2)O-rich liquid (hydrothermal) phase and a CO(2)-rich supercritical phase coexist. Following pretreatment, samples were then enzymatically hydrolyzed. Total yields, defined as the fraction of the theoretical maximum, were determined for glucose, hemicellulose sugars, and two degradation products: furfural and 5-hydroxymethylfurfural. Response surfaces of yield as a function of temperature and residence time were compared for different moisture contents and biomass species. Pretreatment at 170 degrees C for 60 min gave glucose yields of 77%, 73%, and 68% for 20 and 40 (wt.%) solids mixed hardwood and mixed perennial grasses, respectively. Pretreatment at 160 degrees C for 60 min gave glucan to glucose yields of 81% for switchgrass and 85% for corn stover.

Labeling and purification of cellulose-binding proteins for high resolution fluorescence applications.

The study of enzymatic reactions through fluorescence spectroscopy requires the use of bright, functional fluorescent molecules. In the case of proteins, labeling with fluorescent dyes has been carried out through covalent reactions with specific amino acids. However, these reactions are probabilistic and can yield mixtures of unlabeled and labeled enzymes with catalytic activities that can be modified by the addition of fluorophores. To have meaningful interpretations of results from the study of labeled enzymes, it is then necessary to reduce the variability in physical, chemical, and biological characteristics of the labeled products. In this paper, a solid phase labeling protocol is described as an advantageous alternative to free solution labeling of cellulose-binding proteins and is applied to tag cellulases with three different fluorophores. The products from the labeling reactions were purified to remove the unreacted dye and separate labeled and unlabeled enzymes. Characterization of the catalytic and spectroscopic properties of the isolated labeled species confirmed that highly homogeneous populations of labeled cellulases can be achieved. The protocol for the separation of labeled products is applicable to any mixture of labeled proteins, making this an attractive methodology for the production of labeled proteins suitable for single molecule fluorescence spectroscopy.

An optimized microplate assay system for quantitative evaluation of plant cell wall-degrading enzyme activity of fungal culture extracts.

Developing enzyme cocktails for cellulosic biomass hydrolysis complementary to current cellulase systems is a critical step needed for economically viable biofuels production. Recent genomic analysis indicates that some plant pathogenic fungi are likely a largely untapped resource in which to prospect for novel hydrolytic enzymes for biomass conversion. In order to develop high throughput screening assays for enzyme bioprospecting, a standardized microplate assay was developed for rapid analysis of polysaccharide hydrolysis by fungal extracts, incorporating biomass substrates. Fungi were grown for 10 days on cellulose- or switchgrass-containing media to produce enzyme extracts for analysis. Reducing sugar released from filter paper, Avicel, corn stalk, switchgrass, carboxymethylcellulose, and arabinoxylan was quantified using a miniaturized colorimetric assay based on 3,5-dinitrosalicylic acid. Significant interactions were identified among fungal species, growth media composition, assay substrate, and temperature. Within a small sampling of plant pathogenic fungi, some extracts had crude activities comparable to or greater than T. reesei, particularly when assayed at lower temperatures and on biomass substrates. This microplate assay system should prove useful for high-throughput bioprospecting for new sources of novel enzymes for biofuel production.

Conformation, length, and speed measurements of electrodynamically stretched DNA in nanochannels.

A method is presented to rapidly and precisely measure the conformation, length, speed, and fluorescence intensity of single DNA molecules constrained by a nanochannel. DNA molecules were driven electrophoretically from a nanoslit into a nanochannel to confine and dynamically elongate them beyond their equilibrium length for repeated detection via laser-induced fluorescence spectroscopy. A single-molecule analysis algorithm was developed to analytically model bursts of fluorescence and determine the folding conformation of each stretched molecule. This technique achieved a molecular length resolution of 114 nm and an analysis time of around 20 ms per molecule, which enabled the sensitive investigation of several aspects of the physical behavior of DNA in a nanochannel. lambda-bacteriophage DNA was used to study the dependence of stretching on the applied device bias, the effect of conformation on speed, and the amount of DNA fragmentation in the device. A mixture of lambda-bacteriophage with the fragments of its own HindIII digest, a standard DNA ladder, was sized by length as well as by fluorescence intensity, which also allowed the characterization of DNA speed in a nanochannel as a function of length over two and a half orders of magnitude.

Immobilization of cellulose fibrils on solid substrates for cellulase-binding studies through quantitative fluorescence microscopy.

Cellulases, enzymes capable of depolymerizing cellulose polymers into fermentable sugars, are essential components in the production of bioethanol from lignocellulosic materials. Given the importance of these enzymes to the evolving biofuel industry considerable research effort is focused on understanding the interaction between cellulases and cellulose fibrils. This manuscript presents a method that addresses challenges that must be overcome in order to study such interactions through high-resolution fluorescence microscopy. First, it is shown that cellulose can be immobilized on solid substrates through a polymer lift-off technique. The immobilized cellulose aggregates present characteristic morphologies influenced by the patterned feature size used to immobilize it. Thus, through a variety of pattern sizes, cellulose can be immobilized in the form of cellulose particles, cellulose mats or individual cellulose fibrils. Second, it is shown that both cellulose and Thermobifida fusca cellulases Cel5A, Cel6B, and Cel9A can be fluorescently tagged and that the labeling does not inhibit the capability of these cellulases to depolymerize cellulose. The combination of the immobilization technique together with fluorescence labeling yields a system that can be used to study cellulose-cellulase interactions with spatial and temporal resolution not available through more conventional techniques which measure ensemble averages. It is shown that with such a system, the kinetics of cellulase binding onto cellulose fibrils and mats can be followed through sequences of fluorescence images. The intensity from the images can then be used to reconstruct binding curves for the cellulases studied. It was found that the complexity of cellulose morphology has a large impact on the binding curve characteristics, with binding curves for individual cellulose fibrils closely following a binding saturation model and binding curves for cellulose mats and particles deviating from it. The behavior observed is interpreted as the effect pore and interstice penetration play in cellulase binding to the accessible surface of cellulose aggregates. These results validate our method for immobilizing nanoscale cellulose fibrils and fibril aggregates on solid supports and lay the foundation for future studies on cellulase-cellulose interactions.

Expression of thermostable microbial cellulases in the chloroplasts of nicotine-free tobacco.

An inexpensive source of active cellulases is critical to efficient and cost-effective conversion of lignocellulosic biomass to ethanol. Transgenic plants expressing foreign cellulases are potential sources of cellulases for biomass conversion. A number of foreign proteins have been reported to accumulate to high levels when the transgene is incorporated into the chloroplast genome rather than into the nuclear genome. We developed plastid transformation vectors carrying two Thermobifida fusca thermostable cellulases, Cel6A and Cel6B, and expressed them in nicotine-free or nicotine-containing tobacco varieties following chloroplast transformation. We obtained homoplasmic tobacco plants expressing Cel6A or Cel6B. Maximum estimates of expression levels ranged from 2 to 4% of total soluble protein. Enzyme assays indicated that both Cel6A and Cel6B expressed in transplastomic tobacco were active in hydrolyzing crystalline cellulose. With further optimization, it may be feasible to produce bacterial cellulases in tobacco chloroplasts in large quantities.

Modeling production of antifungal compounds and their role in biocontrol product inhibitory activity.

Partial least squares (PLS) regression modeling was used to relate the antifungal activity of Bacillus subtilis solid-state fermentation extracts to the individual high-performance liquid chromatography (HPLC) peaks from those extracts. A model was developed that predicted bioassay inhibition based on the extract HPLC profile (R(2) = 0.99). Concentrations of the members of the antifungal lipopeptide families iturin A and fengycin were found to correlate positively with extract inhibition, but a peak with unidentified chemical composition (designated as peak 48) showed the strongest correlation with extract inhibition. HPLC data were used to construct models for the production of iturin A, fengycin, and peak 48 as a function of the substrate moisture content, incubator temperature, and aeration rate in the solid-state bioreactors. Maximum production of all compounds occurred at the highest moisture content (1.7 g/g dry basis) and lowest incubator temperature (19 degrees C) tested. Optimal aeration rates for the production of the two known lipopeptides and peak 48 were 0.1 and 1.5 L/min, respectively.

Optimization of spore and antifungal lipopeptide production during the solid-state fermentation of Bacillus subtilis.

Bacillus subtilis strain TrigoCor 1448 was grown on wheat middlings in 0.5-l solid-state fermentation (SSF) bioreactors for the production of an antifungal biological control agent. Total antifungal activity was quantified using a 96-well microplate bioassay against the plant pathogen Fusarium oxysporum f. sp. melonis. The experimental design for process optimization consisted of a 2(6-1) fractional factorial design followed by a central composite face-centered design. Initial SSF parameters included in the optimization were aeration, fermentation length, pH buffering, peptone addition, nitrate addition, and incubator temperature. Central composite face-centered design parameters included incubator temperature, aeration rate, and initial moisture content (MC). Optimized fermentation conditions were determined with response surface models fitted for both spore concentration and activity of biological control product extracts. Models showed that activity measurements and spore production were most sensitive to substrate MC with highest levels of each response variable occurring at maximum moisture levels. Whereas maximum antifungal activity was seen in a limited area of the design space, spore production was fairly robust with near maximum levels occurring over a wider range of fermentation conditions. Optimization resulted in a 55% increase in inhibition and a 40% increase in spore production over nonoptimized conditions.