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- W2616350031 abstract "The ability to perform high-throughput analysis is a crucial need in today’s forensic laboratories. This is especially true for laboratories that routinely receive multiple-unit exhibits, as jurisdictional requirements often involve the testing of a large number of individual units in order to make an inference on the entire seizure, or on a high proportion of it. Multiple injections in a single experimental run (MISER) is an ideal technique for the rapid analysis of multiple-unit and multiple-component seized drug submissions. It is a variation of flow-injection analysis in which samples are analyzed by direct injection into an eluent flow provided by a liquid chromatograph. In combination with an autosampler, samples can be continuously injected allowing the rapid evaluation of their contents. The collection of results from multiple samples within a single chromatogram (misergram) also allows for simple evaluation of data. Unlike routine GC or LC applications, the proportion of strong solvent employed during MISER analysis should be sufficiently high to ensure only minimal interaction with the stationary phase, thus accelerating the passage of the analyte(s) through the column. And although sample components are not separated on the basis of retention time, this apparent limitation in selectivity is easily remedied by the use of a mass spectrometry detector. Once the mobile phase is optimized, the speed with which samples can be tested is essentially limited only by the operational parameters of the auto-injector. It is likely that modifications of these parameters could result in analysis times even shorter than the 1.2 min per sample already achieved in this study." @default.
- W2616350031 created "2017-05-26" @default.
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- W2616350031 date "2017-09-01" @default.
- W2616350031 modified "2023-10-01" @default.
- W2616350031 title "High-throughput analysis of controlled substances: Combining multiple injections in a single experimental run (MISER) and liquid chromatography–mass spectrometry (LC-MS)" @default.
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- W2616350031 doi "https://doi.org/10.1016/j.forc.2017.05.001" @default.
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