Purpose: Identification and Quantitation of Plastics Additives in Medicine Containers by HR LCMS, GCMS and ICPMS. Methods: HR-LCMS, GCMS and ICPMS and data processing software. Results: Comprehensive analysis of extractable for medicine container by multiple techniques, and data analysis software. Confident component detection, unknown structure identification, and quantification were achieved.

Direct wine analysis was used to determine the molecular weight of the components and their variable content across the 5 samples in this study was observed. This work demonstrates the utility of analyzing complex mixtures without prior sample preparation by making use of the separation of HPLC combined with the High Resolution Accurate Mass (HRAM) of the Q Exactive quadrupole Orbitrap mass analyzer. The combination of these techniques provides a robust and confident means of profiling complex mixtures as well as successful identification of detected components.

We demonstrated a simple workflow for the simultaneous analysis of melamine and analogues in pharmaceutical components using a Q Exactive benchtop Orbitrap mass spectrometer. The sensitive, simple and robust method employed the Thermo Fisher Scientific Q Exactive high resolution Orbitrap mass spectrometry coupled with UHPLC and HILIC mode chromatographic separation. Simultaneous detection and quantification of melamine and its analogues in Albumin and Guar gum were achieved with a high degree of confidence.

Productivity of an LC-MS system is measured in samples per day. Modern ultrahigh pressure LC-MS (UHPLC-MS) methods increasingly deal with very short gradients, leading to chromatographic signals with peak widths below 5 seconds at the base. It is still a challenge for high-resolution, accurate mass (HR/AM) systems to provide a sufficient number of scans (=10) across the chromatographic peak in full scan mode without compromising sensitivity and selectivity. We describe a system that addresses these challenges.

The analysis of food and environmental samples for contaminants by LC-MS has become a quick and cost-effective routine application when run in a targeted fashion, but this method disregards events or circumstances not taken into account beforehand. We describe a method by one data set can serve for routine high throughput quantitative analysis and for versatile non-targeted investigations in a highly automated manner.