Tool · 510(k)

510(k) Predicate Finder

Find potential predicate devices for your 510(k) submission. Enter a K-number to find all clearances with the same product code, a three-letter product code to browse clearances directly, or search by device name.

Product Code: DAO FDA class 2

Igm (Mu Chain Specific), Antigen, Antiserum, Control

Immunology

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This is an immunological reagent kit for detecting IgM with specificity for the mu heavy chain, the immunoglobulin class characteristic of primary immune responses and important in evaluating early-phase infections. The kit includes antigen, antiserum, and control components for use in clinical immunology laboratories. It is classified as FDA Class 2, requiring 510(k) premarket notification, and is eligible for third-party review. The product code is DAO, regulated under 21 CFR 866.5550, within the Immunology specialty.

510(k) Clearances

8 matches
K Number
Device Name
ROCHE DIAGNOSTICS TINA-QUANT IGM GEN.2
SPIFE URINE IFE
BOEHRINGER MANNHEIM IGM ASSAY
SPQ TEST SYSTEM FOR IMMUNOGLOBULIN M
MODIFICATION TO ACS CORONARY GUIDING
IMMUNOGL. FRCT. OF RABBIT ANTISER.-IGM
GEMENI IGM ASSAY
ANTISERUM TO HUMAN IGM

What is a Predicate Device?

A predicate device is a legally marketed device that a new 510(k) applicant uses to demonstrate substantial equivalence. The FDA's 510(k) pathway requires manufacturers to show that their device has the same intended use and similar technological characteristics as one or more predicate devices already cleared for commercial distribution.

Finding the right predicate is a critical step in 510(k) strategy. Manufacturers typically search for cleared devices with the same FDA product code, which groups devices by their intended use and regulatory classification. This tool helps you identify potential predicates by browsing all clearances within a product code.

Note that predicate devices must be legally marketed — they cannot be devices that were cleared but never commercialized, or devices subject to a mandatory recall. The determination of substantial equivalence considers intended use, technological characteristics, and performance data.

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