If you test food for gluten, you need to see both sides of the story – native gluten and the deamidated forms that show up after processing. R5 antibody does well on native gluten but loses affinity when deamidation is present. 2D4 was designed to keep an R5-like profile on wheat, barley, and rye, and it also sees deamidated gluten [1]. That’s the practical difference.
Thermal/chemical steps and functional ingredients can deamidate gluten (e.g., wheat protein isolate used as an emulsifier or texturiser in sauces, fillings and even some pasta applications). Deamidation alters epitopes so that R5’s affinity is markedly reduced, risking under-reporting in processed matrices [1]. In contrast, 2D4 binds native and deamidated prolamins across wheat/rye/barley.
Below is what an accredited external lab found when they compared our InviLisa® Gluten ELISA (2D4) against kits based on the R5 and G12 antibodies across several reference materials [2]. The study normalised units and ran two independent analysts.
And when a separate FAPAS dataset looked only at precision on the same cake mix: 2D4 CV ≈ 11.5% vs R5 CV ≈ 25.5% (means 46.4 vs 40.3 mg/kg; SD 5.4 vs 10.3). Same sample, better precision (or ‘tighter results’) with 2D4.
R5’s affinity is observed to reduce by about 125-fold with deamidated gluten detection. So if your matrix or ingredient includes wheat protein isolate or other deamidated forms, an R5-only assay may under-report. 2D4 recognises a consensus motif (XPXQPFX) and maintains detection on native and deamidated gluten [1]. That’s the design goal, and it’s backed by peer-reviewed data.
Where does deamidated gluten show up? In common places: emulsifiers, gelling aids, fortifiers, meat binders, baked goods, sauces, soups, even wine fining – often labelled as wheat protein isolate. These are not isolated cases; they’re common place ingredients in certain foods.
R5 remains the Codex Type 1/AOAC OM method for gluten measurement in defined matrices and is widely recognised in standards and audits. Final Action (2016) narrowed the matrix claim to rice- and corn-based foods – appropriate for many dry gluten-free categories, but not a blanket endorsement for heavily processed or deamidated systems [3].
Practical take-away: keep using R5 where it is mandated or clearly within scope. For high-processing/likely deamidation scenarios, add a method that can see those forms – this is where 2D4 helps.
Beyond antibody specificity, the 2D4 ELISA simplifies routine throughput:
If your products can contain deamidated gluten – and many processed foods can – R5 alone leaves a blind spot. 2D4 closes it. In the independent study, the InviLisa® Gluten ELISA showed tighter precision, closer alignment to the calibrant, and clean blanks – without inflating results. It sees what R5 can miss and holds steady on the everyday samples you test.
Notes: The results above relate to the materials and methods used in the study. They’re shown here to help you compare kit behaviour in typical food testing scenarios.
Why we keep saying this: The science is clear – R5 loses affinity on deamidated epitopes, while 2D4 covers both states and targets a consensus motif. That’s the core reason InviLisa® reads the whole picture.