Organic contaminant sorption parameters should only be compared across a consistent system of linear functions

Area of Science:

• Environmental Science
• Chemistry
• Geoscience

Background:

• Linear models are frequently used to analyze contaminant sorption data.
• The necessity of constraining the y-intercept to zero in these models is a recurring point of discussion.

Purpose of the Study:

• To provide a clear justification for constraining the y-intercept to zero in linear sorption models.
• To demonstrate how this constraint enhances the reliability and comparability of sorption coefficients.

Main Methods:

• Utilized a linear modeling approach to analyze contaminant sorption data.
• Applied a zero constraint to the y-intercept of the linear regression model.

Main Results:

• Constraining the y-intercept to zero enforces consistency within the system of linear equations.
• This constraint facilitates a more direct and accurate comparison of determined sorption coefficients across different studies or conditions.

Conclusions:

• Constraining the y-intercept to zero is a scientifically sound practice for linear contaminant sorption modeling.
• This methodological choice improves the interpretability and inter-comparability of sorption coefficients, advancing environmental research.