Molecule guides
Peptide Immunoassay Kits: ELISA, EIA and RIA Formats and How to Select One
A kit is a packaged, validated procedure — but only for the matrix, species and analyte it was built around. What to check before you buy, and how to run it well.
An immunoassay kit has a single job — putting a number on the concentration of one specific peptide in your sample. What you buy in the assay kits section is a pre-tested procedure: a matched antibody, a calibrated standard and a detection chemistry, all validated together over a defined working range. Assembling antibody, tracer and standards in-house is almost always slower and less reproducible. Whether a given kit suits your samples, though, is decided by its specification sheet rather than by the product name.
Comparing the three formats
The glossary defines ELISA and RIA in full. Which format you can use is mostly a question of how big the target is. A sandwich assay requires two antibodies to bind at the same time on epitopes that do not overlap, and a peptide of ten residues has no room for that — so short peptides get measured competitively. Bear in mind that a competitive format inverts the standard curve: the strongest signal corresponds to the least analyte.
Specifications that decide whether a kit suits your work
Range and sensitivity come first. Compare the kit's calibrated span with the concentrations you actually expect to see. A plasma kit calibrated in the picogram range will be saturated by a concentrated culture supernatant; a wide-range kit, conversely, may not resolve small differences near the bottom of a rodent plasma series. The lower limit is set by sensitivity, which manufacturers usually quote as the minimum detectable concentration.
Then check the matrix. Kits are validated for particular sample types — serum, EDTA or heparin plasma, urine, CSF, tissue extracts, culture supernatant — and matrix interference is a real phenomenon: proteins and lipids in serum can alter antibody binding in a way that buffer-based standards will never show. Either stay within a validated matrix or prove a new one with spike recovery and linearity of dilution; that step is the difference between trustworthy results and artefacts.
Species is next on the list, and in metabolic research it accounts for more wasted plates than anything else. A kit standardised against human leptin or insulin will return systematically incorrect numbers on rodent material. Check the species reactivity stated for that kit, not just for the analyte in general.
The fourth item is easy to skip over: what exactly counts as the analyte. Total versus active GLP-1; intact versus C-terminal FGF-23; acylated versus des-acyl ghrelin; BNP versus NT-proBNP. Each of those pairs is a different measurement, and a kit tells you only what its antibody pair actually binds. The specification that settles this is the cross-reactivity table in the insert — indispensable for families like the proglucagon products, where the sequences overlap so much.
Collection is part of the assay
When a kit "fails", the problem usually started at sample collection. Several peptides degrade within minutes of blood being drawn unless they are protected. Active GLP-1 and GIP require a DPP-4 inhibitor in the tube; acyl-ghrelin requires both acidification and protease inhibitors; vasopressin is so labile that laboratories measure copeptin as a surrogate. Anticoagulant choice also counts — results in heparin plasma or serum can differ from those in the EDTA plasma a kit was validated on. Because freeze–thaw damages many analytes, split samples into aliquots exactly as you would reagents. The collection protocol in the insert is a requirement, not a suggestion; ignore it and the standard curve you paid for no longer means anything.
Getting the assay to run well
Most run-to-run variability comes down to four practices. First, duplicates for every standard and sample, with any replicate CV over about 15% read as a pipetting or washing problem rather than random scatter. Second, temperature: bring all reagents to the temperature the insert states before starting, because cold plates and cold substrate cause edge effects and reaction rates that drift from one side of the plate to the other. Third, washing that is complete and identical every time — poor washing is the usual culprit behind high background in enzyme-linked formats. Fourth, correct curve fitting: a competitive assay produces a sigmoid and needs a 4PL model, not a line through the central standards. Where you have no idea of the likely concentration, dilute a pilot sample in series before using up a whole plate.
Storage, shelf life and consumables
A kit is a bundle of components with different storage needs. Most parts are kept at 2–8 °C, but standards, controls or the conjugate are often supplied freeze-dried or frozen, so store each item as the insert specifies rather than treating the box as one unit. Reconstituted standards have a short life — commonly a few days at 2–8 °C, or one freeze if divided into aliquots — and a standard frozen a second time is the unnoticed reason a curve no longer lines up with last week's. Coated plates are sensitive to humidity; put unused strips back in the pouch with the desiccant and reseal. Kit expiry is set by the least stable part, typically the conjugate. Items not included in the box, such as sealers, wash buffer and diluent, are listed under kit supplies, and bead-based multiplex kits use magnetic beads where other formats use coated wells. The chemistry behind all this is covered in our ELISA and RIA guide and in the explainer on how these kits quantify peptides.
How kits compare with the other product types
Match the product to the question. If you need a concentration from a sample, that is a kit. If you need to show where a peptide sits in tissue or confirm a band on a blot, that is an antibody. If you need to add a defined amount, run a recovery spike or pre-absorb an antibody, that is a peptide standard. Labelled peptides supply the tracers used in competitive formats and in building your own assays. You can browse from the catalog hub or from a research area — diabetes, cardiovascular or Alzheimer's, for instance — where kit selection does most of the analytical work. All kits listed are research-use immunoassays for in-vitro work and approved animal studies; none has clinical validation as a diagnostic test.
Questions
How does a sandwich assay differ from a competitive one?
Sandwich assays capture the analyte between two antibodies binding different epitopes, so more analyte means more signal. Competitive assays work the other way: sample analyte and a labelled version compete for a limited amount of antibody, so more analyte means less signal. A short peptide cannot accommodate two antibodies at once, which is why competitive formats are used for them.
ELISA or RIA for the same target — how do I decide?
Default to ELISA and move to RIA only if you need the extra sensitivity. For some small peptides RIA does reach lower concentrations, and parts of the literature still treat it as the reference method. The overhead is considerable, though: a licence for radioactive material, shielded workspace, a gamma counter, a waste disposal route, and an I-125 tracer that loses half its activity in roughly 60 days.
Can a kit be used with a sample matrix that is not on its validated list?
Yes, but only after you have validated it yourself. Run spike-recovery and dilution-linearity tests in the new matrix; recoveries of roughly 80–120% and dilution curves that stay parallel indicate the matrix is acceptable. Without those checks, interference can push results up or down several-fold, and the plate gives no sign that it has happened.
Why do my duplicates disagree?
Look at technique before blaming the kit. Check that tips are seated properly and that small volumes are pipetted consistently, verify that the washer fills every well evenly, and make sure reagents had reached the specified temperature. Duplicate CVs above about 15% point to a handling problem that needs fixing before any data from the run are used.
Is a linear fit acceptable for the standard curve?
Not for competitive formats. Their standard curve is S-shaped and should be fitted with a 4PL (four-parameter logistic) model; forcing a straight line through the middle of the range skews values at the top and bottom. Plate-reader software generally includes a 4PL option. Sandwich ELISAs are not linear over their whole range either.
Can these kits diagnose anything?
No. Every kit in the research catalog is a research-use immunoassay for in-vitro work and approved animal studies. None carries clinical validation as a diagnostic, and the numbers it produces have no diagnostic meaning.