skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Nanolaser Spectroscopy for Genetically Engineered Yeast: New Tool for a Better Brew?.

Abstract

Abstract not provided.

Authors:
; ; ; ; ;
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1141443
Report Number(s):
SAND2006-2441C
506525
DOE Contract Number:
AC04-94AL85000
Resource Type:
Conference
Resource Relation:
Conference: Proposed for presentation at the SPIE, Photonics West held January 21-26, 2006 in San Jose, CA.
Country of Publication:
United States
Language:
English

Citation Formats

Gourley, Paul L., McDonald, Anthony E., Copeland, Robert, Judy K. Hendricks, Robert K. Naviaux, and Michael P. Yaffe. Nanolaser Spectroscopy for Genetically Engineered Yeast: New Tool for a Better Brew?.. United States: N. p., 2006. Web.
Gourley, Paul L., McDonald, Anthony E., Copeland, Robert, Judy K. Hendricks, Robert K. Naviaux, & Michael P. Yaffe. Nanolaser Spectroscopy for Genetically Engineered Yeast: New Tool for a Better Brew?.. United States.
Gourley, Paul L., McDonald, Anthony E., Copeland, Robert, Judy K. Hendricks, Robert K. Naviaux, and Michael P. Yaffe. Sat . "Nanolaser Spectroscopy for Genetically Engineered Yeast: New Tool for a Better Brew?.". United States. doi:. https://www.osti.gov/servlets/purl/1141443.
@article{osti_1141443,
title = {Nanolaser Spectroscopy for Genetically Engineered Yeast: New Tool for a Better Brew?.},
author = {Gourley, Paul L. and McDonald, Anthony E. and Copeland, Robert and Judy K. Hendricks and Robert K. Naviaux and Michael P. Yaffe},
abstractNote = {Abstract not provided.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Sat Apr 01 00:00:00 EST 2006},
month = {Sat Apr 01 00:00:00 EST 2006}
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

Save / Share:
  • A fuzzy-decision-making procedure is applied to find the optimal feed policy of a fed-batch fermentation process for fuel ethanol production using a genetically engineered Saccharomyces yeast 1400 (pLNH33). The policy consisted of feed flow rate, feed concentration, and fermentation time. The recombinant yeast 1400 (pLNH33) can utilize glucose and xylose simultaneously to produce ethanol. However, the parent yeast utilizes glucose only. A partially selective model is used to describe the kinetic behavior of the process. In this study, this partially selective fermentation process is formulated as a general multiple-objective optimal control problem. By using an assigned membership function for eachmore » of the objectives, the general multiple-objective optimization problem can be converted into a maximizing decision problem. In order to obtain a global solution, a hybrid method of differential evolution is introduced to solve the maximizing decision problem. A simple guideline is introduced in the interactive programming procedures to find a satisfactory solution to the general multiple-objective optimization problem.« less
  • No abstract prepared.
  • Short communication.
  • Abstract not provided.
  • The purpose of this paper is to discuss some of the ecological questiosn and conerns related to environmental applications of biotechnology. There are a number of uncertainties about the risks entailed in the use of such products. These uncertainties arise principally because of gaps in the knowledge bases in basic ecology, microbial biology and ecology, genetics, and risk assessment. The need to ensure that the benefits of biotechnology products are safely realized and that their environmental applications do not result in new sources of environmental degradation provides the fundamental rationale for systematic assessments of risk before field testing or commercialmore » use. 16 refs., 1 tab.« less