Extracting Information and Enhancing the Quality of Separation Data: A Review on Chemometrics-Assisted Analysis of Volatile, Soluble and Colloidal Samples

Instrument automation, technological advancements and improved computational power made separation science an extremely data-rich approach, requiring the use of statistical data analysis tools that are able to optimize processes combine multiple outputs. The chemometrics is growing, greatly improving ability extract meaningful information. Separation–multidetection generates multidimensional data, whose elaboration should not be left discretion operator. However, some applications or techniques still suffer from lack method optimization through DoE downstream multivariate analysis, limiting their potential. This review aims at summarizing how can assist analytical chemists in terms design, focusing on what achieved by applying chemometric approaches science. Recent analyses, particular gas, liquid size-exclusion chromatography, together with field flow fractionation, will detailed visualize state art chemometrics, encompassing volatile, soluble solid (colloidal) analytes. samples considered range food chemistry environmental bio/pharmaceutical