• New Chemometrics Platform Transforms Complex Data into Meaningful Results

Data Handling

New Chemometrics Platform Transforms Complex Data into Meaningful Results

Oct 26 2020

Sepsolve Analytical Ltd has announced the launch of a ground-breaking new addition to its software suite: ChromCompare+™ is a powerful, yet easy-to-use, chemometrics platform for comparing multiple GC and GC×GC chromatograms and extracting useful insights into the constituents that are present. Crucially, it offers the flexibility to process data from a broad range of GC and GC-MS platforms.

“I am confident that ChromCompare+ is the final piece of the puzzle for discovery workflows,” said Laura McGregor, SepSolve’s Product Marketing Manager. “Our innovative approach means we can reduce the risk of missing important differences between sample classes, and allow users to automatically classify unknown samples - without having to be experts in statistics.”

This is particularly valuable in discovery workflows, such as clinical research, food and beverage authenticity or fragrance profiling, when analysts don’t know the important differences between sample classes, so must investigate all components, often within complex matrices. Dr McGregor explained: “ChromCompare+ allows maximum analytical information to be automatically extracted from the raw data and filtered down to the most significant differences between samples. This not only reduces the risk of trace peaks being ignored, it also minimises the need for error-prone and time-consuming manual processing, thereby increasing the reliability of the entire data processing protocol, from start to finish.”

Andy Hardwick, Commercial Director of SepSolve’s parent company, Schauenburg Analytics Ltd, commented: “We believe that ChromCompare+ offers the ultimate in discovery workflow chemometrics. Furthermore, combining it with the enhanced separation offered by SepSolve’s INSIGHT® GC×GC flow modulator and highly-sensitive detection by BenchTOF™ time-of-flight mass spectrometers, means you can gain even greater insight into sample compositions, resulting in faster yet deeper, more comprehensive, end-to-end analysis.”

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