Mass Spectrometry
Technology Development
01 Ultrahigh Throughput Analysis
Lipidomics and Metabolomics advance the understanding of the biochemistry of lipids and metabolites. We treat endogenous metabolites not as isolated entities but as a metabolic network. By working with different research and corporate groups we expand the knowledge further in this exciting and fast developing field.
Over many years, we have developed and accumulated a unique set of experiences that apply state-of-the-art mass spectrometry for small molecules analysis in various applications. Our laboratories host a combination of mass spectrometers (low and high resolution), methods (direct infusion and chromatography, targeted and untargeted) and data analysis capabilities.
Larger cohort studies have been plagued by long turnaround times and low reproducibility. To alleviate this, our facility is equipped with high-throughput systems such as the Hamilton Microlab STAR and the Agilent Rapidfire (RF-MS), which enable high-throughput acquisition of samples without compromising data quality and robustness.
02 Untargeted Metabolomics Workflows
At SysMec, we prioritize accuracy, reliability, and efficiency in our untargeted metabolomics workflows. Our established protocols encompass untargeted fingerprinting, Data-Dependent Acquisition (DDA), and Data-Independent Acquisition (DIA) methodologies. Each workflow undergoes rigorous validation for analytical reproducibility and accuracy, ensuring the highest quality results for our research partners.
While we leverage external data processing tools, our capabilities are significantly enhanced by our proprietary data processing tools. These continuously refined in-house toolkits can be customized for specific research requirements, allowing us to address unique analytical challenges. Furthermore, we maintain comprehensive spectral libraries containing thousands of in-house characterized metabolites, complemented by public libraries for precise annotation.
Beyond our established methodologies, we maintain an active development pipeline to create, customize, and refine new workflows for novel sample types and emerging analytical methods.
While we leverage external data processing tools, our capabilities are significantly enhanced by our proprietary data processing tools. These continuously refined in-house toolkits can be customized for specific research requirements, allowing us to address unique analytical challenges. Furthermore, we maintain comprehensive spectral libraries containing thousands of in-house characterized metabolites, complemented by public libraries for precise annotation.
Beyond our established methodologies, we maintain an active development pipeline to create, customize, and refine new workflows for novel sample types and emerging analytical methods.
03 MS Software, Data Integration and Solutions
SysMeC has recently developed a novel workflow MRMhub to enable highly automated peak integration and perform rigorous post-processing and quality control steps to produce final concentration data and QC metrics in an unprecedented speed. We also distribute software for specific functionalities such as isotopic correction for lipids in targeted assays (LICAR).
In addition, we develop novel data processing tools for untargeted and targeted analysis methods. Our untargeted MS data processing tools including MetaboKit (DDA and DIA), HRMSkit (MS1) and MetaboScan (scanning SWATH) that enable seamless data extraction and custom library building from high-resolution data acquired from various acquisition methods. Further, we also actively develop data processing software packages for fast LC-less acquisition methods for RapidFire system (RFkit), Agilent Technologies and EchoMS+, SCIEX (EchoMSkit).
Last but not least, we are delving into the development of novel AI-based solutions to understand the inter-relationship of MS data between structurally related compounds, using validated models such as graph neural networks and large language model-based approaches in cheminformatics.
In addition, we develop novel data processing tools for untargeted and targeted analysis methods. Our untargeted MS data processing tools including MetaboKit (DDA and DIA), HRMSkit (MS1) and MetaboScan (scanning SWATH) that enable seamless data extraction and custom library building from high-resolution data acquired from various acquisition methods. Further, we also actively develop data processing software packages for fast LC-less acquisition methods for RapidFire system (RFkit), Agilent Technologies and EchoMS+, SCIEX (EchoMSkit).
Last but not least, we are delving into the development of novel AI-based solutions to understand the inter-relationship of MS data between structurally related compounds, using validated models such as graph neural networks and large language model-based approaches in cheminformatics.