To simplify inductively coupled plasma-optical emission spectroscopy (ICP-OES), Thermo Fisher Scientific introduced a semi-quantitative analysis tool that allows for the identification of unknown samples, which is designed to help make the world a cleaner and safer place, according to the company.

A Semi-Quantitative Approach 

With the new SemiQuant feature on the Thermo Scientific Qtegra Intelligent Scientific Data Solution (ISDS) Software and the Thermo Scientific iCAP PRO Series ICP-OES, researchers can leverage Artificial Intelligence (AI) technology and neural networks to provide an efficient workflow for composition analysis.  

The semi-quantitative approach involves determining the relative concentrations of elements in a sample rather than obtaining precise quantitative measurement. It is often used for rapid screening of samples or for identifying elemental composition trends rather than obtaining exact concentrations. 

The semi-quantification implementation within the Qtegra ISDS Software does not require the user to analyze any standards or blanks prior to conducting the semi-quantification analysis. This approach makes use of AI and neural networks to provide an efficient workflow for non-targeted elemental screening using ICP-OES. 

Further reading: Thermo Fisher’s Launches New Energy Star Certified ULT Freezers

Key applications include laboratories who perform trace elemental analysis (metals and elements) using ICP-OES and for screening food samples for unregulated elements  

The technology requires no standard analysis and uses AI technology and neural networks to provide an efficient workflow. 
It provides rapid insights by leveraging the advantages of SemiQuant during method development and streamlines the optimization process, improves method performance, and enhances the quality of analytical results. All SemiQuant results are obtained without the need to run any calibration solutions. 

Featured image: The advanced, high-throughput ICP-OES system. Photo: Thermo Fisher