To determine the Limit of Detection (LOD) for your dataset, follow these steps. First, collect some blank measurements to calculate the standard deviation (σ_blank), which represents the noise in your data. Next, create a calibration curve by using known analyte concentrations and fitting them to your equation (y = ax^b). Calculate the slope (S) of this curve. Then, you can find the LOD using the formula: LOD = 3.3 * (σ_blank / S). This LOD calculation accounts for noise and the slope of your calibration curve, helping you identify the lowest detectable analyte concentration. However, it's important to consider any specific guidelines or standards related to LOD calculations in your field, as there can be variations and additional factors to consider. For more discuss with me on WhatsApp; https://wa.me/+923440907874.