The Calibration Curve Quality Checker is a scientifically rigorous analytical tool designed for evaluating calibration model performance in HPLC, LC-MS, GC, UV-Visible spectroscopy, and other quantitative instrumental methods. This application enables laboratory scientists, analytical chemists, and method developers to assess calibration accuracy, regression integrity, and quantitative reliability using statistically correct and transparent calculations.

This tool supports:

Ordinary Least Squares (OLS) linear regression

Weighted linear regression (1, 1/x, 1/x², 1/y, 1/y², 1/ŷ²)

Optional quadratic regression with adjusted R² and AIC

Intercept forcing (zero-intercept modeling)

Replicate handling with pure error and lack-of-fit testing

Comprehensive calibration diagnostics include:

Regression coefficients with standard errors and confidence intervals

R² and adjusted R²

RMSE and residual standard error

Studentized residuals, leverage, and Cook’s distance

Residual pattern analysis for curvature and heteroscedasticity

Back-calculated concentrations with bias and %bias

Inverse prediction for unknown samples with confidence intervals

Optional LOD and LOQ estimation using statistically defined methods

The Calibration Curve Quality Checker helps identify:

Nonlinearity and curvature

Heteroscedastic response behavior

High-leverage calibration points

Outliers and influential observations

Systematic bias at low or high concentration levels

Poor model selection (linear vs quadratic vs weighted)

This tool is ideal for:

Analytical method validation

Quantitative method development

Regulatory documentation preparation

Teaching calibration statistics in analytical chemistry

Evaluating LC-MS, HPLC-UV, GC-FID, ICP-OES, or spectroscopic calibration performance

Unlike simplistic R²-only evaluations, this application emphasizes residual diagnostics, inverse prediction accuracy, and statistical transparency, ensuring calibration curves are evaluated using sound analytical chemistry principles rather than arbitrary acceptance thresholds.

Use this Calibration Curve Quality Checker to strengthen quantitative method reliability, improve analytical accuracy, and ensure defensible calibration modeling across laboratory workflows.