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The Importance of Computing LOD and LOQ In Validating a New Analytical Method This ensures that the signal is indeed due the analyte, and not due the analytical noise. For this reason, a limit is set for the detection of the analyte (LOD), which is higher than the signals that fall in the analytical noise zone. If the analyte concentration is too low, the analyte signal cannot be distinguished from analytical noise. ![]() When measuring the concentration of an analyte, the analyte must produce a signal greater than the analytical noise, i.e., the signal obtained in the absence of analyte. They are the minimum amount of compound (analyte) that can be reliably detected and quantified, respectively, using an analytical method/instrument. LOD and LOQ mean exactly what these terms suggest. ![]() This article will describe what LOD and LOQ are, their importance in method validation, and finally a quick method to calculate these values using Excel. Limit of detection (LOD) and limit of quantitation (LOQ) are the two crucial parameters used to validate analytical methods. Failing to do so, you might end up with erroneous results and waste time and resources. When performing an un-established analytical method, one needs to statistically validate it.
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