SCIEX open access extractables and leachables high-resolution MS/MS spectral library
Confident extractables and leachables (E&L) identifications from plastics are essential for exposure and toxicological studies. The flexibility of SCIEX instrumentation and software solutions provide scientists a fast way to analyze large batches of samples with accurate and efficient MS/MS library searching for compound identification, data mining, and compound database management for E&L analysis. The SCIEX Open Access Extractables and Leachables MS/MS spectral library is a comprehensive MS/MS spectral library containing 675 E&L relevant compound entries. This library in combination with powerful search algorithms enables specific, sensitive, robust, accurate and efficient compound identification through instrument specific library MS/MS spectral matching.
Confident identification of extractables and leachables (E&L) from plastics is essential for exposure and toxicological studies. The flexibility of SCIEX instrumentation and software solutions provides scientists with a fast way to analyze large batches of samples, with accurate and efficient MS/MS library searching for compound identification, data mining, and compound database management for E&L analysis.
The SCIEX E&L high-resolution MS/MS spectral library is a comprehensive library containing 675 E&L relevant compound entries. This suite of compounds is highly useful for scientists performing chemical analysis of non-volatile species on multiple material types, including plastics and polymers. This library, in combination with powerful search algorithms in SCIEX OS software, enables specific, sensitive, robust, accurate and efficient compound identification through instrument specific library MS/MS spectral matching. Combine it with a curated subset of the licensed National Institute of Technology (NIST) MS/MS spectral library to obtain a comprehensive library bundle containing only relevant compounds (2,360) for enhanced coverage, to reduce the number of times unknown peaks from E&L studies are not identified.
SCIEX OS software allows easy adoption and implementation of E&L screening and quantification workflows with intuitive data representation and interpretation to quickly report out accurate, confident E&L results. Combined with the SCIEX and NIST E&L libraries, researchers can search and identify compounds across a breadth of E&L compound classes to enhance the accuracy and efficacy of both targeted and non-targeted screening.
High resolution mass spectrometry (HRMS) using the SCIEX QTOF systems provides investigators a powerful tool for the detection and identification of extractables and leachables. High MS and MS/MS acquisition rates ensure the acquisition of accurate mass spectral data on large numbers of analytes, even at low analyte concentrations. The comprehensive analyte-specific MS/MS spectra increases the specificity and confidence in the results when performing compound identification.
Automated processing matches the MS data to the analyte mass, and the MS/MS data are matched to the analyte fragmentation pattern in the library. As shown in the example in Figure 2, multiple points of high-quality data are used to detect and identify extractables and leachables from an acetone tubing extract sample. Highlighted is an example of the identification of a nylon degradant with an excellent fit score of 97.8% for the spectral matching of the acquired MS/MS spectrum to the SCIEX E&L library spectrum.
The SCIEX E&L solution combining compound specific libraries with powerful high resolution QTOF systems provides a robust solution for researchers performing chemical analysis for non-volatile species from various plastics and polymers across a wide range of matrices. The library consists of MS/MS spectra that have been acquired on a SCIEX QTOF system enabling MS/MS spectral library searching with spectra that will be similar across all SCIEX systems. Powerful and stringent search algorithms in SCIEX OS software reduce the false positives, keeping the number of library hits to a relevant and minimal number. The specific, sensitive and robust library match, in combination with retention time and mass error, provide confidence in accurate identifications.