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.

Integrating mixed microbial population dynamics into modeling energy transport during the initial stages of the aerobic composting of a switchgrass mixture.

A mathematical model which integrates empirically derived microbial growth kinetics with heat and mass transfer phenomena and substrate degradation kinetics has been developed to capture the dynamics of the aerobic composting of a switchgrass and dog food mixture over a period of 64 h. The model incorporated three microbial populations of yeasts, bacteria and fungi that metabolized composting material consisting of sugars and starches, cellulose and hemicelluloses to produce heat and utilize oxygen in a static, cylindrical reactor employing forced aeration. Model predictions captured well the dynamics obtained experimentally between physical and microbial variables and the model has the potential to become a predictive tool for substrate degradation during aerobic composting processes.

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.

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.

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.

Single molecule analysis of bacterial polymerase chain reaction products in submicrometer fluidic channels.

Laser induced fluorescence in submicrometer fluidic channels was used to characterize the synthesis of polymerase chain reaction (PCR) products from a model bacterial system in order to explore the advantages and limitations of on chip real time single molecule PCR analysis. Single oligonucleotide universal bacterial primers and PCR amplicons from the 16S rDNA of Thermobifida fusca (325 bp) were directly detected at all phases of the reaction with low sample consumption and without post-amplification purification or size screening. Primers were fluorescently labeled with single Alexa Fluor 488 or Alexa Fluor 594 fluorophores, resulting in double labeled, two color amplicons. PCR products were driven electrokinetically through a fused silica channel with a 250 nm by 500 nm rectangular cross section. Lasers with 488 nm and 568 nm wavelengths were focused and overlapped on the channel for fluorescence excitation. All molecules entering the channel were rapidly and uniformly analyzed. Photon burst analysis was used to detect and identify individual primers and amplicons, and fluorescence correlation and cross-correlation spectroscopy were used to account for analyte flow speed. Conventional gel and capillary electrophoresis were also used to characterize the PCR amplification, and the results of differences in detection sensitivity and analyte discrimination were examined. Limits were imposed by the purity and labeling efficiency of the PCR reagents, which must be improved in parallel with increases in detection sensitivity.