Dramatic Improvement in the Efficiency of Multicomponent Simultaneous Analysis
The efficiency of multi-component simultaneous analysis is dramatically improved thanks to Smart SIM™, which simplifies and automates the method creation, and LabSolutions Insight™ software, which greatly reduces the time needed for analyzing data. In addition, databases specialized for specific fields are provided, so regardless of the field in which quantitative analysis is to be performed, highly reliable data can be obtained as the result of the optimized analytical conditions.
More Convenient Multicomponent Analysis Achieved by Smart SIM
The Smart SIM automatic method creation function automatically configures the SIM program to suit the retention times. Even in cases where there are a number of compounds and they are apportioned to multiple methods, the methods can be integrated while maintaining the sensitivity as is. This significantly reduces the number of analysis cycles and the measurement time, improving productivity.
For the databases used with Smart SIM, Shimadzu GCMS methods currently in use can be used as is.
High-sensitivity, high-accuracy analysis is enabled in comparison to the group measurement method. In a batch analysis of 434 components, favorable repeatability and calibration curves were obtained, even down to the trace-quantity region, improving quantitative performance.
LabSolutions Insight has been designed to drastically simplify the review process and transform data processing.
Multi-analyte Data Review
With LabSolutions Insight software, quantitative results for a complete series of data files can be displayed side-by-side for comparison and QC review. All of the chromatograms for a selected target compound can be displayed simultaneously, making it easy to review the detected peaks and confirm the quantitative results. Color-coded QA/QC flags quickly identify any outliers that require further examination.
Color-coded QA/QC Flags
In LabSolutions Insight, quantitative results can be compared to established criteria, and any outliers are color-coded for easy identification and further review. Five color-coded criteria levels can be defined, making it easy to determine which data points are outliers, and which specific QC criteria were not met. Any changes made to calibration curves or manual peak integration are immediately reflected in the color-coded flags.
Example of Using Flags for Quantitative Review
The following example illustrates how an orange flag was set to identify moldy odor compound concentrations that exceeded a defined cautionary limit of 1.0 ppt (part-per-trillion), and a red flag was used as a warning to identify those which had exceeded 10 ppt. In the figure below, quantitative results are tabulated at the top of the screen, while the bottom of the screen simultaneously displays peak identification and integration. Both views include the color-coded flags.
System Configurations Using Multiple Client Computers
Data acquired from multiple analyses can be reviewed or confirmed using client computers connected via a LAN or other network. If multiple systems are used, data obtained from each system can be reviewed from any client computer. Even in the case of multiple analysts using the same system, the ability to separate analytical work from measurement work improves work efficiency.
For Research Use Only. Not for use in diagnostic procedures.
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