Do you know what equation Elisa chooses to fit the standard curve? -Huaqiang Electronic Network

Do you know what equation Elisa chooses to fit the standard curve? Many people have more or less confusion about this problem, according to the latest analysis of the technicians as follows:
In the low-concentration section of the s-curve, the power equation can be well fitted. The low- and medium-concentration departments can use the linear equation, the intermediate department can use the logarithmic equation, and the middle and the rear can use the four parameters. In the immunoassay, the scale point (may be diluted or not). If the concentration is the same as the corresponding absorbance (od) value, it is ideal. If you can get a linear relationship, you can get the fit by exell. The curve, in turn, derives the concentration value of the sample.
Regarding the fitting method of the scale curve, the straight line, the quadratic curve, the cubic curve, the index, the logarithm, etc. can be used for curve fitting in Elisa and other biological reactions, but they are only used in one part of the curve, and some Used in the first half, some are used in the second half, some are used in the middle, and the logistic curve has a good combination of all the curves. In a long interval, the logistic should be able to fit well. If used for quantification, the middle section of the s-shaped curve (shorter) is better, and the calculation error of the two flat sections is large, sometimes even large. The so-called "scale curve" used for immunoassay is actually called a fitting curve. At present, the most popular immunological detection fitting method in the world is “four-parameter logic fitting”. This kind of fitting method can often accurately compare the relationship between concentration and absorbance, so as to obtain the test substance in the sample more accurately. Concentration value. However, we do not have the ideal situation for immunoassay. The concentration of the target and the corresponding od value are often the relationship of the "s" type. At this time, the straight line fitting method cannot be used, and the fitting method is used. Making a choice is necessary. The hub is where the s-shaped curve of your scale curve is, and which part of the curve you want to test. Of course, if used for quantification, it is still better in the middle. But building a model is one thing, and using it to quantify is another matter. Although none of these methods can be used universally, they can all be used. But it is not that it is omnipotent. In fact, not only Elisa, but many other biological reactions are sigmoidal curves, and they can all be fitted with logistic curves.
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