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Mid-infrared spectroscopy (MIRS) was used to simultaneously detect and predict concentrations of D-sorbitol and L-sorbose during a Gluconobacter suboxydans biotransformation. Quantitative models for both these compounds were developed for the entire time-course of the process and validated externally using samples not included in the original modelling exercise, giving standard errors of prediction of 3.29 and 3.3% for sorbitol and sorbose, respectively, and a correlation coefficient close to 1.

The application of Fourier Transform near infrared spectroscopy (FT-NIRS) to near real-time monitoring of polysaccharide and biomass concentration was investigated using a gellan-producing strain of Sphingomonas paucimobilis grown in a stirred tank reactor. Successful models for both biomass and gellan were constructed despite the physichochemical complexity of the viscous process fluid. Modelling of biomass proved more challenging than for gellan, partly because of the low range of biomass concentration but a model with a good correlation coefficient (0.94) was formulated based on second derivative spectra. The gellan model was highly satisfactory, with an excellent correlation coefficient (0.98), again based on second derivative spectra. No sample pre-treatment was required and all spectral scanning was carried out on whole broth. Additionally, both models should be robust in practice since both were formulated using low numbers of factors. Thus, the near real time simultaneous monitoring of gellan and biomass in this highly complex matrix using FT-NIRS potentially opens the way to greatly improved process control strategies.

Near infrared spectroscopy (NIRS) was used to monitor an industrial bioprocess for the production of the antibiotic, tylosin, using a segmented modelling approach. Models were built over the entire time course of the fermentation from 0 to 150 h, and also in two distinct phases or segments of the bioprocess from 50 to 100 h (synthetic phase) and from 100 to 150 h (stationary phase). All models were validated externally and the performance of the full range and segmented models compared. The standard error of prediction (SEP) of the segmented models was less in both 50–100 h and 100–150 h and the correlation highest in the 50–100 h range. This would suggest that data segmentation is potentially a useful method of accommodating the impact of the pronounced matrix changes which occur in some bioprocesses in NIRS models for key analytes. While there are many reports on bioprocess monitoring using NIRS, there have been no previous studies on the use of segmented NIR models within a bioprocess as a means of accommodating matrix change.

The use of Fourier transform mid-infrared spectroscopy (FT-MIRS) to predict the concentrations of key analytes in fed-batch cultivations of an industrial strain of Pichia pastoris in a chemical complex medium was investigated. Models for glycerol, methanol (substrates), and product (an heterologous protein) were built, and evaluated. The use of a multi-bounce attenuated total reflectance (HATR) accessory aided spectral acquisition in optically dense samples. Generally, all models were robust and performed well on external validation, using data from processes not present in the original modelling exercise. Substrate models lacked the complexity of some previous IR models, and the models performed adequately even at low analyte concentration (

Debate still surrounds the physiological roles of the alternative respiratory enzymes found in many fungi and plants. It has been proposed that alternative NADH:ubiquinone oxidoreductases (NADH dehydrogenases) may protect against oxidative stress, conversely, elevated activity of these enzymes has been linked to senescence. Here we show that inhibition of these enzymes in a fungal protein expression system (Aspergillus niger) leads to significantly enhanced specific growth rate, substrate uptake, carbon dioxide evolution, higher protein content, and more efficient use of substrates. These findings are consistent with a protective role of the NADH dehydrogenases against oxidative stress, thus, when electron flow via these enzymes is blocked, flux through the main respiratory pathway rises, leading to enhanced ATP generation. We anticipate that our findings will stimulate further studies in fungal and plant cultures leading to significant improvements in these expression systems, and to deeper insights into the cellular roles of alternative respiration.

The genome sequence of the bacterium Gluconobacter oxydans suggests new ways of harnessing this organism's unusual metabolism for biotechnology.

Conference poster illustrating how filamentous fungi have attracted extensive research interest due to their abilities to secrete large amounts of high-valued recombinant proteins. Despite the fact that proteases have been recognized as one of the main problems in protein production, little is known about the regulation of them. In the present study, we hypothesized that reactive oxygen species (ROS), unavoidable by-products in all aerobic cultures, may cause protein oxidation and induce proteolysis in filamentous fungi. To test this hypothesis, we used a variety of oxidative stressors, oxygenation, menadione, hydrogen peroxide, hydrogen peroxide with copper ion, to study the induction of intracellular proteolytic activities in A. niger B1-D, a recombinant filamentous fungus secreting hen egg white lysozyme. Protein carbonyl content was monitored as a bio-marker for protein oxidation. Our results show that oxygenation and metal-catalyzed oxidation significantly induce carbonyl groups to bovine serum albumin (BSA). We also found that proteolytic activities and carbonyl content increase on the addition of these stressors to the whole broth in A. niger B1-D, and the responses are dose-dependent. In conclusion, ROS overproduction correlates with protein oxidation and proteolysis in A. niger B1-D. It is advisable to decrease ROS production in the bioprocess of filamentous fungi in order to achieve a higher productivity of heterologous proteins.

The effect of pH on the production of citric and gluconic acid, from beet molasses byAspergillus niger, was studied using continuous culture. At pH values above 2.5 gluconic acid was the major product, citric acid being the predominant product at low pH values. The optimum specific activities of citrate synthase, aconitase, NAD-linked isocitrate dehydrogenase, and NADP-linked isocitrate dehydrogenase occurred at pH 4 and of glucose oxidase at pH 5.