Quality management enables the food and beverage industry to meet consumer expectations and maintain brand reputation and product safety.
Analytical instrumentation is constantly evolving, allowing us to gain greater insight into our samples’ compositions than ever before, but data processing has remained a challenging prospect. Chromatographic complexity and the vast numbers of samples involved make it difficult to identify trends and differences between sample batches or classes.
ChromCompare+ is a powerful, easy-to-use chemometrics platform to transform your complex 1D or 2D GC–MS data into meaningful and usable results.
Here, we will demonstrate the use of ChromCompare+ software to automatically identify key differentiators across five pear cultivars using all the raw GC–MS data.[1] This innovative approach minimises laborious pre-processing steps and enables automated workflows to be adopted in quality control labs.