Computer-assisted analysis of adenosine triphosphate data

Area of Science:

• Environmental Science
• Biochemistry
• Computational Biology

Background:

• Accurate quantification of adenosine 5 -triphosphate (ATP) is crucial for assessing microbial biomass and activity.
• Traditional ATP data analysis can be complex, requiring manual correction for dilution and background noise.
• Existing methods may lack versatility across different sample types and instrumentation.

Purpose of the Study:

• To develop and present a user-friendly computer program for the comprehensive analysis of ATP data.
• To automate the calculation of dilution curves and correction for background and dilution effects.
• To provide integrated calculation of statistical parameters and biomass carbon estimates.

Main Methods:

• Development of a dedicated computer program for ATP data processing.
• Implementation of algorithms for dilution curve calculation and data correction.
• Integration of statistical analysis modules for biomass carbon estimation.

Main Results:

• The program successfully calculates dilution curves and corrects ATP data for background and dilution effects.
• It provides accurate basic statistical parameters and biomass carbon estimates for sample groups.
• Demonstrated versatility in analyzing data from both aquatic and terrestrial environments.

Conclusions:

• The developed computer program significantly enhances the efficiency and accuracy of ATP data analysis.
• Its adaptability to various sample matrices and instrumentation makes it a valuable tool for researchers.
• Facilitates robust assessment of microbial biomass and ecosystem health through simplified ATP quantification.