Detailed explanation of Elisa curve problem

09.25,20253

Brief Introduction

How to adjust the standard curve of ELISA experiment? The accuracy of the ELISA standard curve directly affects the reliability of sample concentration calculation: 1. Data input and scatter plot generation. Input the concentration (X-axis) of the standard sample and the corresponding absorbance value (Y-axis) into the software to generate a scatter plot. Ensure that the X-axis represents concentration (logarithmic coordinate) and the Y-axis represents absorbance (linear or logarithmic coordinate) to avoid curve distortion caused by incorrect axis settings. 2. Choose a suitable fitting model for linear regression: suitable for data with good linear relationships (R ² 0.99), but most ELISA experiments require non-linear fitting. If R ² is too low (such as 0.9), try polynomial fitting or adjusting the concentration gradient of the standard. 3. Optimize the curve parameters and adjust the coordinate axis range: Set the X-axis (such as 0.1-20) and Y-axis (such as 0.01-10) according to the data range to avoid curve compression or stretching. Check residuals: If the residual distribution is uneven, it is necessary to re fit or exclude outliers. For reference only.

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