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Systematic Error: Methodological and Sampling Errors

Systematic Error: Methodological and Sampling Errors

In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...

Random and Systematic Errors

Random and Systematic Errors

Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...

Random and Systematic Errors

Random and Systematic Errors

Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...

Contaminants and Errors

Contaminants and Errors

Effective sample preparation is crucial for accurate and reliable laboratory analysis. During this process, two significant sources of error can arise: concentration bias from improper sample splitting and contamination caused by methods used to reduce particle size, such as grinding or homogenization. Identifying and minimizing these potential errors is crucial to ensuring the validity of the analysis.
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Instrument Calibration

Instrument Calibration

Instrument calibration is essential for ensuring that instruments produce accurate and consistent results. It is vital in manufacturing, healthcare, testing laboratories, and scientific research. Calibration processes are specific to each instrument and help enhance data accuracy. Each instrument has a unique calibration process tailored to its design and function to improve data accuracy.
Analytical Balance Calibration
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Blank Solutions

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A blank solution is a solution that does not contain the analyte, or the substance of interest being tested or measured. It is typically prepared using the same reagents and procedure as the sample solution but without adding the analyte. The primary purpose of preparing a blank solution is to account for any background interference or contamination that may affect the accuracy and reliability of the analytical method.
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Related Experiment Video

Updated: Jun 3, 2026

Collecting Variable-concentration Isothermal Titration Calorimetry Datasets in Order to Determine Binding Mechanisms

Collecting Variable-concentration Isothermal Titration Calorimetry Datasets in Order to Determine Binding Mechanisms

Published on: April 7, 2011

Systematic errors in isothermal titration calorimetry: concentrations and baselines.

Joel Tellinghuisen¹, John D Chodera

¹Department of Chemistry, Vanderbilt University, Nashville, TN 37235, USA. joel.tellinghuisen@vanderbilt.edu

Analytical Biochemistry

|March 30, 2011

Summary

Reagent concentration errors in isothermal titration calorimetry studies can lead to inaccurate binding parameters (K, ΔH, n). These errors, around 10%, significantly impact results and highlight the need for careful baseline and dilution heat analysis.

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Last Updated: Jun 3, 2026

Collecting Variable-concentration Isothermal Titration Calorimetry Datasets in Order to Determine Binding Mechanisms

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Published on: April 7, 2011

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Measuring Enzymatic Stability by Isothermal Titration Calorimetry

Measuring Enzymatic Stability by Isothermal Titration Calorimetry

Published on: March 26, 2019

Area of Science:

Biophysical Chemistry
Biochemistry
Analytical Chemistry

Background:

Isothermal titration calorimetry (ITC) is a primary technique for characterizing molecular interactions.
Accurate determination of binding parameters such as affinity (K), enthalpy change (ΔH), and stoichiometry (n) is crucial.
Previous studies have not fully addressed the impact of reagent concentration errors on ITC data analysis.

Purpose of the Study:

To investigate the impact of reagent concentration errors on 1:1 binding parameter determination using ITC.
To quantify the extent of these errors in a typical biochemical study.
To assess the influence of baseline and dilution heats on ITC data accuracy.

Main Methods:

Reanalysis of existing data from an interlaboratory study of a biochemical process.
Statistical analysis of ITC data, focusing on key thermodynamic parameters.
Examination of baseline sensitivity and treatment of dilution heats in ITC experiments.

Main Results:

Concentration errors are fully absorbed into ITC data analysis, yielding incorrect K, ΔH, and n values without affecting least-squares statistics.
Reanalysis revealed concentration errors of approximately 10%, contributing significantly to overall statistical error.
A notable sensitivity to baseline variations and dilution heats was observed in selected datasets.

Conclusions:

Reagent concentration errors are a major source of inaccuracy in ITC-derived binding parameters.
Standard ITC data analysis methods do not inherently correct for concentration uncertainties.
Careful attention to baseline determination and dilution heat correction is essential for reliable ITC results.