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.
Let the assistant find your predicates
Describe your device and the Research Assistant searches 510(k)s, compares intended use, and drafts a predicate shortlist — with citations.
Free to try · every answer cites its records
Zinc Transporter 8 Auto-Antibody
Immunology
The Zinc Transporter 8 Autoantibody (ZnT8Ab) ELISA Assay is a semi-quantitative immunoassay for the determination of autoantibodies to Zinc Transporter 8 in human serum, used as an aid in the diagnosis of Type 1 diabetes mellitus (autoimmune-mediated diabetes) in conjunction with other clinical and laboratory findings. It is an FDA Class 2 device regulated under 21 CFR 866.5670, requiring 510(k) premarket notification, within the Immunology (IM) specialty. The product code is PHF, and it is eligible for third-party review. The assay is not intended to be used as a standalone diagnostic tool.
510(k) Clearances
1 matchesWhat 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.