Streamline Your Data Processing
Organic synthesis and drug discovery communities are shifting towards high throughput screening and optimizing reaction conditions in arrays of 96 or 384 to meet stringent timelines. As analytical methods, such as DART, are becoming faster, the limitation on throughput falls on the time the MS software needs to initialize and close individual files for each sample. All samples, therefore, need to be acquired in a single data file, which consequently complicates the data analysis.
Automatic peak detection in AnalyzerProXD (developed by SpectralWorks) allows for parsing of large quantities of samples in a single data file to be separated into separate data files for post-acquisition processing. Analysis of 384 samples with DART-MS takes less than 25 minutes. Following analysis with parsing by AnalyzerProXD software for post-acquisition processing, detecting targeted compounds in the heat mapping format of the 384 well plate takes ~ 2 minutes. This leads to total analysis and sample processing time for 384 samples screening to be less than 30 minutes. AnalyzerProXD also offers statistical analysis and facilitated quantitation for post-acquisition sample processing.
Watch SpectralWorks video on how to use AnalyzerPro XD with DART data!
Check out our application note for Contaminant Detection simplified with AnalyzerPro XD software combined with our JumpShot-HTS package!
Lower Throughput Methods
Don't have our 96 or 384 sample analysis methods but still are analyzing a lot of samples? You can still streamline your data processing with AnalyzerPro XD! Easily compare samples with one another by parsing the data into individual data files and viewing the data and results all in one place. Compare samples of different types, or samples analyzed at different times by appending the parsed data files to a sequence.
For example, you have four groups of samples where each group was analyzed using a QuickStrip™ Sample Card on a different week. You can parse and analyze the data as you acquire the data. After the last group of samples have been analyzed, you can combine the parsed data files for all four groups into one sequence. You can then compare all the samples. Depending on the samples, you can easily monitor for contaminants, quality control over time, batch to batch variations, etc.