Accurate kinetic parameter estimation during progress curve analysis of systems with endogenous substrate production

Biotechnology and Bioengineering

Volumn 108, Issue 10, 2011, Pages 2499-2503

  Goudar, Chetan T ^a  

^a Global Biological Development   (United States)

Author keywords

Endogenous substrate production; Enzyme kinetics; Michaelis Menten equation; Nonlinear parameter estimation; Progress curve analysis

Indexed keywords

BIOLOGICAL INTERPRETATION; CORRECT SOLUTION; ENDOGENOUS SUBSTRATE PRODUCTION; EXPERIMENTAL DATA; INTEGRAL FORM; MICHAELIS-MENTEN EQUATIONS; NONLINEAR PARAMETER ESTIMATION; PARAMETER ESTIMATE; PROGRESS CURVES; SUBSTRATE CONCENTRATIONS; SUBSTRATE DEPLETION;

CURVE FITTING; ENZYME KINETICS; ESTIMATION; INTEGRAL EQUATIONS; KINETIC PARAMETERS; NONLINEAR EQUATIONS; PARAMETER ESTIMATION;

SUBSTRATES;

ANALYTICAL PARAMETERS; BIOCHEMICAL COMPOSITION; BIOLOGY; CELLULAR PARAMETERS; ENDOGENOUS SUBSTRATE PRODUCTION; LETTER; MICHAELIS MENTEN KINETICS; NOISE; PROGRESS CURVE ANALYSIS; STATISTICAL ANALYSIS; BIOLOGICAL MODEL; KINETICS;

KINETICS; MODELS, BIOLOGICAL;

EID: 80051794283     PISSN: 00063592     EISSN: 10970290     Source Type: Journal    
DOI: 10.1002/bit.23181     Document Type: Letter

References (15)

1. Duggleby RG. 1991. Analysis of biochemical data by nonlinear regression, Is it a waste of time. Trends Biochem Sci 16:51-52.
2. Duggleby RG. 1995. Analysis of enzyme progress curves by non-linear regression. Method Enzymol 249:61-90.
3. Duggleby RG. 2001. Quantitative analysis of the time course of enzyme catalyzed reactions. Methods 24:168-174.
4. Ellis TG, Barbeau DS, Smets BF, Grady CPL. 1996. Respirometric techniques for determination of extant kinetic parameters describing biodegradation. Water Environ Res 68:917-926.
5. Goudar CT, Harris SH, McInerney MJ, Suflita JM. 2004. Progress curve analysis for enzyme and microbial kinetic reactions using explicit solutions based on the Lambert W function. J Microb Method 59(3): 326-371.
6. Goudar CT, Sonnad JR, Duggleby RG. 1999. Parameter estimation using a direct solution of the integrated Michaelis-Menten equation. Biochim Biophys Acta 1429:377-383.
7. Holmberg A. 1982. On the practical identifiability of microbial growth models incorporating Michaelis-Menten type nonlinearities. Math Biosci 62:23-43.
8. Liu CG, Zachara JM. 2001. Uncertainities of Monod kinetic parameters nonlinearly estimated from batch experiments. Environ Sci Technol 35:133-141.
9. Marquardt DW. 1963. An algorithm for least squares estimation of nonlinear parameters. J Soc Ind Appl Math 11:431-441.
10. Nielsen HB, Mladenovska Z, Ahring BK. 2008. Kinetics of propionate conversion in anaerobic continuously stirred tank reactors. Environ Technol 29:151-160.
11. Robinson JA. 1985. Determining microbial kinetic parameters using nonlinear regression analysis. Advantages and limitations in microbial ecology. Adv Microb Ecol 8:61-114.
12. Robinson JA. 1998. Modeling microbial processes: An overview of statistical considerations. In: Koch AL, Robinson JA, Milliken GA, editors. Mathematical modeling in microbial ecology. New York, NY: Chapman & Hall, p. 14-31.
13. m and the rate of endogenous substrate production (R) from substrate depletion data. Microb Ecol 10:165-178.
14. Robinson JA, Tiedje JM. 1982. Kinetics of hydrogen consumption by rumen fluid, anaerobic digestor sludge, and sediment. Appl Environ Microb 44:1374-1384.
15. Robinson JA, Tiedje JM. 1983. Nonlinear estimation of Monod growth kinetic parameters from a single substrate depletion curve. Appl Environ Microb 45:1453-1458.