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Biomedical subjects

J D McMillan

Publications and source records attributed to J D McMillan.

12 recordsLinked to original sources
PubMed2004

Identification of microbial inhibitory functional groups in corn stover hydrolysate by carbon-13 nuclear magnetic resonance spectroscopy.

Dilute-acid biomass hydrolysates contain biomass degradation products that are inhibitory to cell growth and fermentation. Overliming with Ca(OH)2 has been found to be one of the most effective methods for detoxifying the dilute-acid hydrolysate for ethanol production. However, the mechanism of overliming is not well understood. Carbon-13 nuclear magnetic resonance (13C-NMR) spectroscopy was used to elucidate the functional groups involved in the overliming reaction. The 13C-NMR spectra showed that the major functional groups removed during the overliming process were aliphatic and aromatic acids or esters, and other aromatic and aliphatic compounds. Ketone and aldehyde functionalities were not detected in the spectra. This is the first time that 13C-NMR has been used to elucidate the overliming reaction.

Anti-Bacterial Agents↗
PubMed2001

Influence of operating conditions and vessel size on oxygen transfer during cellulase production.

The production of low-cost cellulase enzyme is a key step in the development of an enzymatic-based process for conversion of lignocellulosic biomass to ethanol. Although abundant information is available on cellulase production, little of this work has examined oxygen transfer. We investigated oxygen transfer during the growth of Trichoderma reesei, a cellulase-producing microorganism, on soluble and insoluble substrates in vessel sizes from 7 to 9000 L. Oxygen uptake rates and volumetric mass transfer coefficients (kLa) were determined using mass spectroscopy to measure off gas composition. Experimentally measured kLa values were found to compare favorably with a kLa correlation available in the literature for a non-Newtonian fermentation broth during the period of heavy cell growth.

Biomass↗
PubMed2000

Continuous fermentation studies with xylos-utilizing recombinant Zymomonas mobilis.

This study examined the continuous cofermentation performance characteristics of a dilute-acid "prehydrolysate-adapted" recombinant Zymomonas 39676:pZB4L and builds on the pH-stat batch fermentations with this recombinant that we reported on last year. Substitution of yeast extract by 1% (w/v) corn steep liquor (CSL) (50% solids) and Mg (2 mM) did not alter the cofermentation performance. Using declared assumptions, the cost of using CSL and Mg was estimated to be 12.5 cents/gal of ethanol with a possibility of 50% cost reduction using fourfold less CSL with 0.1% diammonium phosphate. Because of competition for a common sugar transporter that exhibits a higher affinity for glucose, utilization of glucose was complete whereas xylose was always present in the chemostat effluent. The ethanol yield, based on sugar used, was 94% of theoretical maximum. Altering the sugar ratio of the synthetic dilute acid hardwood prehydrolysate did not appear to significantly change the pattern of xylose utilization. Using a criterion of 80% sugar utilization for determining the maximum dilution rate (Dmax), changing the composition of the feed from 4% xylose to 3%, and simultaneously increasing the glucose from 0.8 to 1.8% shifted Dmax from 0.07 to 0.08/h. With equal amounts of both sugars (2.5%), Dmax was 0.07/h. By comparison to a similar investigation with rec Zm CP4:pZB5 with a 4% equal mixture of xylose and glucose, we observed that at pH 5.0, the Dmax was 0.064/h and shifted to 0.084/h at pH 5.75. At a level of 0.4% (w/v) acetic acid in the CSL-based medium with 3% xylose and 1.8% glucose at pH 5.75, the Dmax for the adapted recombinant shifted from 0.08 to 0.048/h, and the corresponding maximum volumetric ethanol productivity decreased 45%, from 1.52 to 0.84 g/(L.h). Under these conditions of continuous culture, linear regression of a Pirt plot of the specific rate of sugar utilization vs D showed that 4 g/L of acetic acid did not affect the maximum growth yield (0.030 g dry cell mass/g sugar), but did increase the maintenance coefficient twofold, from 0.46 to 1.0 g of sugar/(g of cell.h).

Biotechnology↗
PubMed2000

Improvements in titer, productivity, and yield using Solka-floc for cellulase production.

Researchers studying cellulase enzymes for the economical production of fuel ethanol envision cellulose as the carbon source. However, submerged Trichoderma reesei cultures grown on cellulose exhibit high run-to-run variability. Thus, an investigation of 30 batch cellulase production experiments was instrumental in determining fermentation conditions that improved enzyme titers, yields, and productivities. Eighteen of the 30 batch experiments experienced minimal process upsets and were classified into eight groups based on agitation rate, gas sparge rate, and the use of oxygen supplementation. Comparing corn steep liquor with yeast extract/peptone also tested the effect of different sources of nitrogen in the media. Average 7-d enzyme titers were doubled from 4 to 8 FPU/mL primarily by increasing aeration.

Biotechnology↗
PubMed1999

Mathematical modeling and optimization of cellulase protein production using Trichoderma reesei RL-P37.

The enzyme cellulase, a multienzyme complex made up of several proteins, catalyzes the conversion of cellulose to glucose in an enzymatic hydrolysis-based biomass-to-ethanol process. Production of cellulase enzyme proteins in large quantities using the fungus Trichoderma reesei requires understanding the dynamics of growth and enzyme production. The method of neural network parameter function modeling, which combines the approximation capabilities of neural networks with fundamental process knowledge, is utilized to develop a mathematical model of this dynamic system. In addition, kinetic models are also developed. Laboratory data from bench-scale fermentations involving growth and protein production by T. reesei on lactose and xylose are used to estimate the parameters in these models. The relative performances of the various models and the results of optimizing these models on two different performance measures are presented. An approximately 33% lower root-mean-squared error (RMSE) in protein predictions and about 40% lower total RMSE is obtained with the neural network-based model as opposed to kinetic models. Using the neural network-based model, the RMSE in predicting optimal conditions for two performance indices, is about 67% and 40% lower, respectively, when compared with the kinetic models. Thus, both model predictions and optimization results from the neural network-based model are found to be closer to the experimental data than the kinetic models developed in this work. It is shown that the neural network parameter function modeling method can be useful as a "macromodeling" technique to rapidly develop dynamic models of a process.

Cellulase↗
PubMed1999

Simultaneous saccharification and cofermentation of dilute-acid pretreated yellow poplar hardwood to ethanol using xylose-fermenting Zymomonas mobilis.

Simultaneous saccharification and cofermentation (SSCF) was carried out at approximately 15% total solids using conditioned dilute-acid pretreated yellow poplar feedstock, an adapted variant of National Renewable Energy Laboratory (NREL) xylose-fermenting Zymomonas mobilis and either commercial or NREL-produced cellulase enzyme preparations. In 7 d, at a cellulase loading of 12 filter paper units per gram cellulose (FPU/g), the integrated system produced more than 3% w/v ethanol and achieved 54% conversion of all potentially available biomass sugars (total sugars) entering SSCF. A control SSCF employing Sigmacell cellulose and a commercial cellulase at an enzyme loading of 14 FPU/g achieved 65% conversion of total sugars to ethanol.

Journal Article↗
PubMed1995

Characterization of recombinant E. coli ATCC 11303 (pLOI 297) in the conversion of cellulose and xylose to ethanol.

This work describes the characterization of recombinant Escherichia coli ATCC 11303 (pLOI 297) in the production of ethanol from cellulose and xylose. We have examined the fermentation of glucose and xylose, both individually and in mixtures, and the selectivity of ethanol production under various conditions of operation. Xylose metabolism was strongly inhibited by the presence of glucose. Ethanol was a strong inhibitor of both glucose and xylose fermentations; the maximum ethanol levels achieved at 37 degrees C and 42 degrees C were about 50 g/l and 25 g/l respectively. Simultaneous saccharification and fermentation of cellulose with recombinant E. coli and exogenous cellulose showed a high ethanol yield (84% of theoretical) in the hydrolysis regime of pH 5.0 and 37 degrees C. The selectivity of organic acid formation relative to that of ethanol increased at extreme levels of initial glucose concentration; production of succinic and acetic acids increased at low levels of glucose (< 1 g/l), and lactic acid production increased when initial glucose was higher than 100 g/l.

Acetates↗
PubMed1994

Arbinose utilization by xylose-fermenting yeasts and fungi.

Various wild-type yeasts and fungi were screened to evaluate their ability to ferment L-arabinose under oxygen-limited conditions when grown in defined minimal media containing mixtures of L-arabinose, D-xylose, and D-glucose. Although all of the yeasts and some of the fungi consumed arabinose, arabinose was not fermented to ethanol by any of the strains tested. Arabitol was the only major product other than cell mass formed from L-arabinose; yeasts converted arabinose to arabitol at high yield. The inability to ferment L-arabinose appears to be a consequence of inefficient or incomplete assimilation pathways for this pentose sugar.

Arabinose↗
PubMedDate not supplied

Performance appraisal: match the tool to the task.

Performance appraisals can be vital tools in administering an effective human resources program if they're used properly, although they're particularly useful in salary administration, incentive award determination, and promotability assessment, selecting the method or methods that best meet your needs may not be easy. John D. McMillan, director of compensation services, and Hout W. Doyel, consultant, of A.S. Hansen, Inc., explain the key features, advantages, and disadvantages of four major types of performance appraisal methods: the trait checklist, the management by objectives approach, the free-form approach, and the responsibility rating system. The authors note, for instance, that the most frequently used method, the trait checklist, has these major disadvantages: Traits that are rated tend to be general and don't relate specifically to job performance. The tendency of raters is to focus on personal characteristics rather than job performance results. And the method makes no sense where different levels in a job family are rated on the same form.

Employee Performance Appraisal↗