ELISA kits: choosing between sandwich, competitive and direct elisa kits, picking among human elisa kits for your matrix, and the validation evidence a supplier should publish
An ELISA kit is a validated method in a box, and the validation is what you are buying. Two kits for the same analyte can disagree substantially because they use different antibody pairs recognising different epitopes, are calibrated against different standards, and were validated in different matrices. This page covers how to read a supplier's data sheet properly and what to ask for before committing a study to a kit.
- the FDA labelling clause behind research use only on an assay kit
- 809.10(c)
- good laboratory practice for nonclinical studies, 21 CFR
- Part 58
- the accreditation standard a testing method is validated under
- 17025
Figures in this panel are the rules that decide what an assay kit may claim and how a method is validated, named from the regulations themselves and linked in the sources below. They are identifiers, not prices: BioBricks publishes verified prices for synthesis services only, and does not imply a reagent index it has not measured.
- 4 vendor service pages verifiedevery figure matched verbatim to the vendor's page
- Quoted and dated, never estimatedlast verification pass 2026-08-24
- 1 service classes coveredeach with measured search demand behind it
Reading the data sheet: a CRP ELISA kit against a mouse insulin ELISA kit
- Format follows the analyte. Sandwich assays need two non-competing epitopes and give the best specificity for proteins; competitive formats handle small molecules and short peptides where two antibodies cannot bind at once. A prostaglandin and a biogenic amine are both far too small to present two epitopes, which is why kits for them are competitive whatever the supplier, and why their standard curves run downwards. The format is determined by the analyte rather than chosen for convenience.
- Check the sample type by name. A kit validated in serum is not validated in plasma with a particular anticoagulant, in culture supernatant or in tissue lysate. Matrix effects are real and large, so confirm your exact sample type appears in the validation and, if it does not, plan a spike and recovery experiment.
- The standard decides what the number means. Kits calibrated against recombinant standards and kits calibrated against an international reference material give different absolute values. Acute phase proteins and the peptide hormones are the analytes where a recognised reference material exists, so two suppliers' kits for them can be compared; for most cytokines no such material is in general use and the calibrator is the supplier's own recombinant protein. Where results must be compared across studies or over years, prefer a kit traceable to a recognised reference material and record which was used.
- Sensitivity, range and precision. Look for the working range rather than the lowest detectable figure, and for within-run and between-run precision at concentrations spanning that range. A sensitivity figure on its own says nothing about whether the assay is reliable where your samples sit.
- Lot variation and bridging. Ask whether the supplier provides lot-specific standard curves and whether lots are bridged. For a study running across lots, order enough of one lot or plan a bridging experiment, because an unbridged lot change mid-study is a confound.
Research use only, and what it excludes
Most research kits are labelled for research use only, which means they are not for use in diagnostic procedures and have not been reviewed for that purpose. Using one to inform a clinical decision is outside what the labelling permits, whatever the assay's technical performance.
If results will support a regulated submission, confirm what quality system the kit was manufactured under and what documentation the supplier will provide. This varies enormously between suppliers at similar prices.
Validating a kit in your own hands
Whatever the supplier validated, run spike and recovery and a dilution linearity check in your own matrix before committing a study. These two experiments catch most matrix problems and cost one plate.
Include a quality control sample of known concentration on every plate and track it. Plate to plate drift is the most common source of unexplained variance in ELISA data and is invisible without a control.
Common questions
- Why is a PGE2 ELISA kit or a histamine ELISA kit competitive rather than a sandwich?
- Because a sandwich assay captures the analyte between two antibodies binding different epitopes, and a molecule of a few hundred daltons cannot present two at once. A competitive assay instead measures displacement of a labelled analogue, so its standard curve runs downwards and its working range is narrower. The consequence for these analytes is practical: they are more sensitive to matrix than a sandwich assay and often need an extraction or a fixed dilution, so the sample preparation in the protocol is not optional.
- Why do an HMGB1 ELISA kit and an IL6 ELISA kit give different values between suppliers?
- Different antibody pairs recognise different epitopes and different forms of the analyte, and each kit is calibrated against its own recombinant standard rather than a shared reference material. For nuclear proteins released on damage and for the cytokines this is the normal situation rather than a fault, so absolute values are kit specific and the kit and lot should be recorded with the result.
- What does research use only mean?
- The kit is labelled for laboratory research and has not been reviewed for diagnostic use, so it may not be used to inform clinical decisions regardless of how well it performs technically.
- Should I validate a mouse IgG ELISA kit or a human IgG ELISA kit myself?
- Yes, at least spike and recovery plus dilution linearity in your own matrix, and a quality control sample on every plate. Immunoglobulin kits deserve one extra check: confirm the species specificity in your sample, because a reagent raised against one species' immunoglobulin frequently sees another's, and a culture supernatant containing serum is exactly where that shows up. Supplier validation was performed in their matrix, not yours.
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Sources
Cite or embed this figure
The median advertised gene synthesis price per base pair in the US research synthesis services market was $0.11 in August 2026, across 4 verified vendor service pages recorded in BioBricks Synthesis Price Index.
Cite as: "BioBricks Synthesis Price Index", updated 2026-08-24, https://biobricks.org/elisa-kit/.