Chromatography, Unified

First-of-its-kind system looks to increase speed and efficiency while reducing human error in analysis workflows

By Lab Manager

Officially launched at Pittcon 2015 in March, Shimadzu’s fully automated supercritical fluidic chromatography-based Nexera Unified Chromatography system (Nexera UC) looks like it could be a game-changer in the chromatography world. The system can sequentially analyze up to 48 samples utilizing automatic extraction and chromatographic separation combined with high-sensitivity detection of targets by mass spectrometry. It is the world’s first-ever unified and fully automated system that combines supercritical fluidic extraction (SFE) with supercritical fluid chromatography (SFC).

Removing human errors in the analysis workflow, while still achieving high speed and efficiency, was one of Shimadzu’s key goals in creating the system, according to a recent company release.

“The Nexera UC system eliminates the need for complicated sample pre-treatment and enables highly reliable and stable analysis of delicate samples that are prone to oxidation or dissociation if exposed to air,” the company said. “Notably, in the analysis of pesticides in food products, the state-of-the-art Nexera UC system takes only five minutes for a complete analysis sample pre-treatment when compared with at least 35 minutes for conventional systems.”

In addition, the system has a much higher target analyte recovery rate and reduces the possibility of human error during analysis when compared to conventional manual systems. Designed to fulfil the measurement requirements of a wide rangeo f applications, the Nexera UC achieves the highest levels of sensitivity by injecting thee ntire volume of eluent. Lastly, the system offers a wide range of separation modes, enablingt he separation of a diverse wide range of compounds at once, which is not possiblew ith single systems that are based on gas and liquid chromatography.

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Categories: Laboratory Technology

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Safer Science

Published: June 11, 2015

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