Shanghai ancient flower detailed description: ELISA kit OD value is not normal - Database & Sql Blog Articles

ELISA experiments can be quite complex, and many factors can affect the results. As a result, various issues may arise during the process. However, most of these problems are avoidable once you understand the key steps and maintain good control over the procedure. Recently, one of our customers asked: "What causes an abnormal OD value in ELISA, and how can it be fixed?" Here at Shanghai Guduo Biotechnology, we're here to help you troubleshoot and improve your ELISA outcomes.

Elisa Kit

If your ELISA results show an unusual OD value, it's important to identify the root cause. Below are some common reasons and solutions that might help you resolve the issue:

1. The kit wasn't properly warmed up. Solution: Make sure the kit is brought to room temperature (around 25°C) before use.

2. Temperature control was not accurate. Solution: Ensure the incubation environment is kept at the correct temperature throughout the process.

3. Incubation time was not precise. Solution: Follow the recommended timing strictly to avoid under or over-incubation.

4. Excessive washing force, long soaking time, or too many washes. Solution: Wash 4–5 times with 250 µL per well, then gently pat dry with a paper towel.

5. Exposure to direct sunlight or air drafts. Solution: Keep the plate away from light and strong air currents during the experiment.

6. Incorrect wavelength setting on the microplate reader. Solution: Set the reader to 450 nm for optimal measurement in most ELISA kits.

7. Mistakes in antibody dilution. Solution: Double-check the dilution ratio and prepare the solution carefully.

8. Poor water quality. Solution: Use high-quality water such as Wahaha mineral water for reagent preparation.

In conclusion, no matter what kind of experiment you're conducting, there are always better options available if you plan wisely. This includes managing resources efficiently and minimizing unnecessary costs. If possible, try to estimate the output versus input of your experiment. A higher return on investment is always preferable, but it should also be based on the conditions and resources you have at hand.