# Awkt: A Physicochemical Parameter Estimation Tool for Capillary Zone Electrophoresis

## TL;DR

Awkt is a computational tool that estimates physicochemical parameters in capillary electrophoresis using nonlinear optimization, enabling automated hypothesis testing, model selection, and batch processing for molecule characterization.

## Contribution

It introduces a novel software tool that automates parameter estimation and model testing in capillary electrophoresis, improving efficiency and accuracy over manual methods.

## Key findings

- Provides accurate numerical estimates of physicochemical parameters.
- Supports automated hypothesis testing and model selection.
- Enables fully automated batch processing for high-throughput analysis.

## Abstract

We present a computational parameter estimation tool aimed at assisting molecule characterization applying nonlinear least-squares optimization to a specific closed-form solution of a capillary electrophoretic transport problem. Numerical estimates for the respective physicochemical parameters are generated. Among other features, the tool facilitates automated and user-controllable hypothesis testing and model selection. It can also be used to perform fully automated batch-processing in true concurrent mode.