ELISA Kit Validation and Quality Testing

Our broad menu of over 2,200 ELISA kits provide accurate and consistent results for all your research needs. Each Invitrogen ELISA kit meets rigorous specifications and is manufactured with stringent quality controls to help ensure excellent quality and reproducibility. Choose individual target-specific ELISA kits using the search tool below. We offer a variety of off-the-shelf ELISA formats and immunoassay special requests, such as lot reservation, bulk packaging, and custom assay development for flexibility and convenience as you start your next research project. 

Invitrogen ELISA kits are tested for the following factors—intra-assay precision, inter-assay precision, linearity of dilution, ELISA parallelism, recovery, sensitivity, and specificity. Data acquired from these ELISA validation tests are typically available in each kit’s manual—found either in the kit packaging or on the product webpage. 

A quick summary of key specifications of Invitrogen ELISA kits is shown in Table 1.

Search ELISA kits

Intra-assay validation shows the reproducibility between wells within an assay plate. Data resulting from intra-assay validation helps ensure that samples run in different wells of the plate and will give comparable results. Below are examples of data generated and reported for a representative intra-assay validation experiment. In this example, Invitrogen VCAM-1 Human ELISA Kit was evaluated by testing 14 replicates, each for three samples in the same assay. The resulting low % CV for each sample indicates good reproducibility within the assay. Samples with known Hu sVCAM-1 concentration were assayed in replicates of 14 to determine precision within an assay.

(TOP)

Inter-assay precision shows the reproducibility between assays done on different days. Inter-assay precision is typically <10%. This ensures the results obtained will be consistent over time and between kits. Below are examples of typical data generated and reported for inter-assay precision. In this example, Invitrogen Amyloid beta 42 Human ELISA Kit, Ultrasensitive was used to test three samples, 36 times over multiple days. The results show % CV of less than 10%, thus demonstrating good reproducibility between assays.

(TOP)

Linearity is defined relative to the calculated amount of analyte based on the standard curve. The final calculated concentration for an analyte in a sample should be the same for any dilution that falls within the quantitative range of the assay. A well-developed immunoassay kit minimizes the potential effects of various sample matrices and other factors that may interfere. Linearity-of-dilution validation experiments provide information about the precision of results for samples tested at various dilution levels. Linearity of dilution is tested for each validated sample type and is considered to be good if results are 70–130% of the expected concentration for each dilution. Linearity is important for accurate measurement of analyte concentration across the assay’s dynamic range and can be calculated using the formula: 

% Linearity = (Measured concentration/Expected concentration after dilution) x 100 

Linearity of dilution for a particular sample type is typically represented as shown in the table below. In this example, Invitrogen c-Myc (Total) Human ELISA Kit was evaluated using HeLa cell lysates. HeLa cell lysate was diluted in Standard Dilution Buffer provided with the kit across the dynamic range of the assay. The measured versus expected values show good assay linearity and no significant interference from sample matrices.

HeLa cells were grown in DMEM containing 10% Fetal Bovine Serum (FBS) at 37°C, lysed with Cell Extraction Buffer, and sonicated. This lysate was diluted in Standard Dilution Buffer over the range of the assay and measured for c-Myc (total). Linear regression analysis of assay results versus the expected concentration yielded a correlation coeficient of 0.99.

(TOP)

Parallelism provides confirmation that natural and recombinant samples are detected in a given ELISA in the same way. The data resulting from the ELISA parallelism validation ensures that the given analyte is recognized in a natural sample in a dose-dependent manner similar to the standard curve. 

Figure 1 shows data generated for parallelism during ELISA kit validation. Recombinant standard, rat serum, and rat plasma were serially diluted across the dynamic range of the assay and evaluated using Invitrogen Growth Hormone Rat ELISA Kit. The results indicate that the Standard diluted in Standard Dilution Buffer can be used to accurately quantitate sample concentrations in the tested matrices.

(TOP)

Recovery is used to determine whether analyte detection is affected by differences in sample matrices. Matrices, such as serum and plasma, may have interfering factors that could affect the ability of the ELISA to accurately quantify an analyte.

Recovery is validated by spiking known amounts of analyte into different sample matrices. The assay is run, and recovery is determined. Generally, if average recovery is 80–120%, the sample matrices are considered to have minimal effect on the ability of the assay to accurately quantify the analyte. 

The table to the right is the typical format used for reporting recovery. In this example, Invitrogen Adiponectin Human ELISA Kit was tested for recovery in 5 different plasma samples. 

(TOP)

Sensitivity is defined as the lowest level of analyte that can be distinguished from the background. This is often referred to as analytical sensitivity or limit of detection. Sensitivity is determined by adding two standard deviations to the mean O.D. obtained from replicates of the zero standard.

For example, Invitrogen Tau (Phospho) [pT181] Human ELISA Kit has a sensitivity of <10 pg/mL. This indicates that each kit lot tested demonstrated sensitivity below 10 pg/mL. The typical format used for reporting sensitivity of ELISA assay is “The minimum detectable concentration of human Tau [pT181] is <10 pg/mL. This was determined by adding two standard deviations to the mean O.D. obtained when the zero standard was assayed 64 times”.

(TOP)

Specificity testing is done to verify that the analyte of interest is detected without cross-reactivity with other closely related molecules. Cross-reactivity can lead to false positive results or inaccurate quantitation. To ensure that only the desired analyte is recognized, a panel of other substances is tested for cross-reactivity.

For example, specificity of Invitrogen IL-6 Mouse ELISA Kit was tested by screening 20 different substances for cross-reactivity. The typical format used for reporting ELISA specificity results is “Buffered solutions of a panel of substances at 10,000 pg/mL were assayed with IL-6 Mouse ELISA Kit. The following substances were tested and found to have no cross-reactivity: Mouse IL-1β, IL-2, IL-4, IL-10, IFN-γ, TNF-α; Rat IL-1β, IL-2, IL-4, IL-6, IFN-γ, TNF-α; Human IL-2, IL-4, IL-6, IL-10, IL-12, IFN-γ, TNF-α; Swine IL-8

(TOP)

The manufacturing process for ELISA involves high quality manufacturing standards to ensure consistent production of high-quality ELISA kits. Essential factors include—rigorous documentation and record-keeping, personnel training, quality control procedures, facility and equipment maintenance, validation of critical processes, raw material control, traceability, environmental monitoring, change control, and compliance with regulatory standards. 

(TOP)

(TOP)

(TOP)

(TOP)