A Multivariate Analysis-Driven Workflow to Tackle Uncertainties in Miniaturized NIR Data.

ABSTRACT: This study focuses on exploring and understanding measurement errors in analytical procedures involving miniaturized near-infrared instruments. Despite recent spreading in different application fields, there remains a lack of emphasis on the accuracy and reliability of these devices, which is a critical concern for accurate scientific outcomes. The study investigates multivariate measurement errors, revealing their complex nature and the influence that preprocessing techniques can have. The research introduces a possible workflow for practical error analysis in experiments involving diverse samples and instruments. Notably, it investigates how sample characteristics impact errors in the case of solid pills and tablets, typical pharmaceutical samples. ASCA was used for understanding critica

SUBMITTER: Gorla G 

PROVIDER: S-EPMC10745448 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature