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Related Experiment Video

Updated: Jun 28, 2026

High-throughput Fluorometric Measurement of Potential Soil Extracellular Enzyme Activities
12:33

High-throughput Fluorometric Measurement of Potential Soil Extracellular Enzyme Activities

Published on: November 15, 2013

[Not Available].

A M Bernard1, J L Burgot

  • 1Laboratoire de Cristallographie et Chimie du Solide, L.A. 251, Laboratoire de Chimie Minérale B, ISMRA, Université de Caen, 14032 Caen Cedex, France.

Talanta
|December 1, 1981
PubMed
Summary
This summary is machine-generated.

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Thermograms deviate from linearity due to heat capacity variations and thermal shifts during reactions. A new parameter quantifies these deviations, simplifying thermogram analysis for chemical reactions.

Area of Science:

  • Thermochemistry
  • Chemical Kinetics

Context:

  • Thermometric titrations often yield hyperbolic thermograms instead of linear segments.
  • Deviations from linearity complicate the interpretation of reaction thermodynamics.

Purpose:

  • To develop a method for calculating deviations from linearity in thermograms.
  • To introduce a parameter that accounts for thermal shifts and heat capacity variations.

Summary:

  • The study addresses non-linear thermograms in rapid, irreversible reactions caused by heat capacity changes and thermal shifts.
  • A mathematical relationship is derived to calculate these deviations based on the degree of titration.
  • A novel parameter, 'apparent change of capacity at the equivalence point,' is introduced to quantify the causes of non-linearity.

Related Experiment Videos

Last Updated: Jun 28, 2026

High-throughput Fluorometric Measurement of Potential Soil Extracellular Enzyme Activities
12:33

High-throughput Fluorometric Measurement of Potential Soil Extracellular Enzyme Activities

Published on: November 15, 2013

Impact:

  • Provides a method to correct for non-linear thermograms, improving data interpretation.
  • Enhances the accuracy of thermodynamic analysis in thermometric titrations.
  • Experimental validation confirms the utility of the derived relationship and parameter.