Calorimetric Data Analysis Code for Enzyme Kinetics ID: 2012-029
A sophisticated code developed to accurately fit the Michaelis-Menten equation to calorimetric data, enhancing enzyme kinetics analysis.
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Technology Overview
This invention is a groundbreaking code that corrects calorimetric data for the instrument's time constant, utilizing a method published in the International Journal of Chemical Kinetics. Created by Lee Ducene Hansen and Marie Coy Killian from Brigham Young University, the code is designed for MATLAB and facilitates nonlinear minimization to analyze enzyme kinetics accurately. This technology represents a significant advancement in the field of biotechnology, offering a more precise analysis of calorimetric data.
Key Advantages
- Accurate fitting of the Michaelis-Menten equation to calorimetric data
- Correction for instrument time constant using the Tian equation
- Utilizes MATLAB for efficient nonlinear minimization
- Improves the analysis of enzyme kinetics with precise data correction
Problems Addressed
- Inaccuracies in enzyme kinetics analysis due to uncorrected instrument time constants
- Limited tools available for precise fitting of the Michaelis-Menten equation to calorimetric data
Market Applications
- Research and development in biotechnology and pharmaceutical industries
- Academic research involving enzyme kinetics and calorimetric analysis
- Potential integration into calorimeters from companies like TA Instruments, Micro
- Cal, and Setaram
Additional Information
Technology ID: 2012-029
Sell Sheet: Download the Sell Sheet here
Market Analysis: Contact us for a more in-depth market report
Date Published: 30 June, 2025
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