ELISA (Enzyme-linked Immunosorbent Assay) is a laboratory technique researchers use to detect and quantify antibodies or antigens in a biological sample. However, ELISA or any other technique used in research must generate accurate and reliable data. Incomplete, inaccurate, or unreliable data always leads to unreliable and misleading scientific conclusions.
When it comes to choosing an animal model for ELISA, many researchers use rat models for the following advantages:
- Larger sample volumes are ideally required for multiple ELISA runs, dilutions, and re-testing to collect reliable data
- Reduced stress-sensitive biomarkers in the sample due to easier, less stressful sample collection
- Relevance for specific human analytesÂ
- Easy availability of well-validated ELISA kitsÂ
- Sufficient tissue quantity to prepare consistent samples
This comprehensive guide covers all the essential factors you need to consider to choose the right kit.
Understand Your Needs First
Target Analyte or Biomarker
What specific molecule of interest do you want to identify and quantify? This seems to be an obvious question, but a lack of clarity can lead to errors and wastage of time, money, and other resources. Some biomarkers exist in various forms. Before you buy TXA2 rat ELISA kit, make sure it recognizes that specific form.
Sample Type
You will identify and quantify the target analyte from a biological sample matrix. Different sample types contain different concentrations of interfering substances, proteins, and cellular debris, which can impact the performance of the kit.
Find answers to the following questions:
- Will the target analyte be obtained from serum, plasma, urine, cerebrospinal fluid, tissue homogenates/lysates, cell culture supernatants, or bronchoalveolar lavage fluid (BALF)?Â
- Is the rat ELISA kit explicitly validated for your specific sample?Â
- What are the specific requirements for sample preparation?Â
- What are the potential interfering substances?
Required Concentration Range and Sensitivity
What is the expected concentration of your analyte in the sample? This directly impacts the sensitivity and dynamic range required for the kit. Sensitivity of the kit dictates the minimum amount you can detect. Dynamic range defines the spectrum of concentrations the kit can accurately quantify.
Experimental Throughput
Experimental throughput is the number of samples you need to process in a given timeframe. Make sure the kit supports that volume. Consider the following throughput-related factors:
- Number of samples per run
- Availability of partial platesÂ
- Time per assayÂ
- Automation compatibilityÂ
Key Factors to Consider
Specificity
A sample may contain similar molecules or non-target proteins, which can cause cross-reaction. Specificity is the kit’s ability to exclusively detect the target antigen without any cross-reactivity. Make sure that the specificity of the kit is validated specifically for rat samples.
Sensitivity
Sensitivity is the kit’s ability to detect the lowest concentration of the target analyte from the background noise. You can rely on the following metric to evaluate the kit’s sensitivity:
- Lower limit of detection (LOD) / Limit of Blank (LOB)Â Â Â
- Limit of Quantitation (LOQ)
If the sensitivity is insufficient, the assay may lead to false negatives. If the kit is overly sensitive, you may need more sample dilutions for higher concentration samples. This can lead to dilution errors.
Accuracy
Accuracy is the closeness with which the kit measures the actual concentration of an analyte. Recovery and linearity are two metrics used to assess the accuracy of a kit.
Recovery assesses the potential for matrix effects to influence the measurement.
Linearity assesses whether the results are directly proportional to the concentration of the analyte across its entire dynamic range.
Precision
Precision is the reproducibility of consistent results when the same sample is tested multiple times. The sample might be tested under the same or varying conditions. Precision is expressed using the Coefficient of Variation (CV%).
Data without precision can be noisy and unreproducible, making it difficult to draw reliable conclusions.
Dynamic Range
It is the spectrum of analyte concentrations that the kit can accurately quantify from the smallest amount it can detect to its saturation point. A wide dynamic range minimizes the need for extensive sample dilutions, which reduces potential errors. Make sure that the kit’s dynamic range encompasses all expected analyte concentrations.
Reproducibility
Reproducibility is the ability of an assay to produce consistent results irrespective of operators, laboratories, or time, provided the same methods and reagents are used.
Make sure you choose a rat ELISA kit with proven reproducibility.
Quality of Components & Completeness
Make sure that the kit comes with all necessary reagents, including standards, controls, buffers, detection antibody, substrate, stop solution, and plates in sufficient quantities.
Other key considerations include:
- Shelf-life and storage conditions
- Clear and comprehensive manualsÂ
- Technical support