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- W4200499403 abstract "The first steps in any analytical workflow have the highest impact on the quality of the analytical data. Errors in analytical measurements are the random variability, expressed as the precision of the method, systematic bias affecting the trueness of results, and gross mistakes, the handling errors. The introduction to the subject of automated sample preparation deals with the perspective on human performance in the so important sample preparation process. Survey results confirm the major sources of error in chemical analysis from the manual sample preparation steps. The established standard methods are still focused on manual sample preparation, which is often the rate-determining step for sample throughput and too often the error-prone part of the analytical method. In this context, standardization calls for automation, not vice versa. The solutions provided in this textbook address this gap with the integration of robotic workflows for many routine tasks." @default.
- W4200499403 created "2021-12-31" @default.
- W4200499403 date "2021-11-19" @default.
- W4200499403 modified "2023-09-28" @default.
- W4200499403 title "Introduction" @default.
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- W4200499403 doi "https://doi.org/10.1002/9783527817511.ch1" @default.
- W4200499403 hasPublicationYear "2021" @default.
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