Hybrid sampling chemometric strategy for accurate and sustainable quantification of co-administered β-lactam antibiotics.

ABSTRACT:

Background

Reliable chemometric models require representative and well-distributed calibration and validation datasets.

Objective

The current study introduces a novel framework integrating diverse sampling strategies with multivariate modeling for the simultaneous UV-Vis quantification of aztreonam (AZM) and meropenem (MPM).

Methods

Three sampling techniques, including Monte Carlo (MC), Latin Hypercube Sampling (LHS), and Sobol Sequences (SS), were systematically evaluated in combination with Partial Least Squares (PLS), Genetic Algorithm-Assisted PLS (GA-PLS), and Artificial Neural Networks (ANN). Response surface strategy was followed for each sampling technique to assess their space coverage and points' distribution across the experimental domain. Moreover, a hybri

SUBMITTER: Soliman SS 

PROVIDER: S-EPMC12837029 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature