Significance of Selectivity
Selectivity in analytical methods refers to the capacity to accurately measure a target analyte without interference from other substances. It involves distinguishing the desired component from potential contaminants or similar compounds in a sample, ensuring that the measurement is accurate and precise. This concept is crucial across various applications, including the differentiation of specific gases, metal ions, and pharmaceuticals like clopidogrel and Quetiapine, where the presence of other analytes may complicate quantification and analysis.
Synonyms: Discrimination, Discernment, Specificity, Refinement, Carefulness, Exclusivity, Attentiveness
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The concept of Selectivity in scientific sources
Selectivity in RP-HPLC methods is crucial for accurately identifying and quantifying Quetiapine in human plasma, allowing clear differentiation from other substances present, which is essential for effective pharmaceutical analysis.
From: The Malaysian Journal of Medical Sciences
(1) The reliability of biosensors for given samples depends on both their selectivity and reproducibility, and the selectivity is expressed as the ratio of the signal output with the analyte alone to that with the interfering substance alone at the same concentration as the analyte.[1]