ELISA Research
ELISA Research FAQs
In order to provide better customer support, we have published Answers to the most Frequently Asked Questions (FAQs) about Elabscience® products.
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The ELISA test data need to be fitted using a four-parameter logical function for curve calibration. After entering the sample OD values in the software, the sample concentration can be directly obtained without dividing by 1000. It should be noted that for kits based on the sandwich method principle, the sample OD needs to be corrected by subtracting the OD value of the blank well; for kits based on the competitive method principle, the sample OD value does not need to be corrected and can be directly input into the software for sample concentration calculation. You can perform the calculation using the following two methods: 1. The ELISA data calculation tool on the official website, please check the link ELISA Data Analysis | Free ELISA Calculator - Elabscience https://www.elabscience.com/resources/elisa-research-tools 2. Data fitting was performed using the Origin software. The usage method can be found in the link: Calculation of ELISA Results https://www.elabscience.com/resources/elisa-research-protocols/1132
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Sensitivity is the lowest detection limit calculated from multiple tests of blank samples by the kit. Only when the sample concentration is higher than the sensitivity of the kit is the detection meaningful. The detection range of the kit indicates that when the sample concentration falls within this range, there is a good linear relationship between the concentration and the detection OD value, which can accurately quantify the concentration of the sample. Our sensitivity calculation is carried out by adding 20 negative samples at one time and substituting them into standard curves for calculation to obtain the mean (mean) and standard deviation (SD). The sensitivity of the sandwich method is mean+2SD, and that of the competitive method is mean-2SD.
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When choosing ELISA kits, factors such as the type of sample, sample volume, detection sensitivity, experimental validity, and budget should be considered. These five core dimensions are comprehensively matched. Different process kits have their own focuses on applicable scenarios: The classic three-step kit: covers a wide range of target types, has excellent detection result stability, is suitable for routine detection with sufficient sample volume and no special time requirements, and is the preferred option for general basic experiments. The rapid one-step kit: significantly simplifies the operation process, with a total detection time of ≤ 90 minutes, suitable for high-throughput and rapid screening scenarios. The mini-sample kit: with a single sample loading volume of only 25 μL, it is suitable for precious and scarce micro samples, such as mice, and can still maintain stable detection sensitivity at a low sample loading volume. The high-sensitivity kit: the detection limit can reach femtoliter level, specifically used for quantitative analysis of cytokines, low-abundance proteins, etc., with extremely low target content. The uncoated kit: only includes core antibodies, standards, and HRP enzymes. The coating and blocking steps need to be operated by the customer themselves. The overall procurement cost is the lowest, with high flexibility, suitable for large-scale batch screening and long-term projects with limited budgets. The CellaQuant kit: a kit independently developed for precise quantitative analysis of target proteins in cell samples. The kit has been verified through a large number of cell models, and there are quality control samples in the kit. Some targets use core standard samples traceable to international standards to ensure the accuracy and comparability of the results, making it an ideal choice for cell sample detection.
