Year-end summary: Elisa kit standard curve drawing and production steps analysis - Database & Sql Blog Articles

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EL-C1600N100013-B

2015

The last working day of the year. Zhang Fu, a student of Fudan University, has tested the human IL-24 elisa kit in our company. The experimental subject of Zhang is now successfully completed. Liu, a student of the same laboratory, was introduced to the sales manager of our company yesterday, and was prepared to test the subject of the IL-24 ELISA kit. I hope that during the period of any technical problems, our company will provide technical support for the first time. Elisa kit standard curve drawing and production steps are analyzed.
First of all, I would like to thank Fudan University for its long-term support to our company. Many reagent tests involve the problem of the standard curve. The good or bad of the standard curve will directly affect the results of the experiment, and even the success or failure of the experiment. Draw or make a standard curve?
First, there are several problems that need to be paid attention to when testing standard curve samples.
1. The concentration of the sample and other indicators are calculated according to the standard curve, so it is important to consider the standard curve as a more important thing than the formal experiment. Otherwise, the results of the latter experiment cannot be discussed.
2. Set the standard concentration range of the standard curve sample to have a relatively large span, and to cover the concentration of the test sample you want to test, that is, the concentration of the sample should be within the concentration range of the standard curve, including the upper and lower limits. For the standard curve of S type, try to make the concentration of the experimental sample in the steepest section of the middle slope, that is, the curve is almost in a straight line.
3. It is better to use the ratio dilution method to prepare the standard sample concentration in the standard curve, so as to ensure that the concentration of the standard sample does not deviate greatly.
4. When testing standard samples, they should be carried out in increasing order of concentration to reduce the influence of high concentration on low concentration and improve accuracy.
5. The number of samples in the standard curve is generally 7 points, but at least 5 points must be guaranteed.
6. The correlation coefficient of the standard curve made varies according to the experimental requirements, but in general, the correlation coefficient R is at least greater than 0.98. For some experiments, at least 0.99 or even 0.999.

Shanghai Jinma new products are being uploaded. During the uploading process, the company's common ELISA kit products have been promoted. Welcome teachers to come to order. When our company uploads new products, if a teacher comes to our company to order common ELISA kits. All products enjoy a 40% discount, of course, there are more to buy more, come and act!