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: DLB FDA class 2

Radioimmunoassay, Lsd (125-I)

Clinical Toxicology

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The Radioimmunoassay for LSD using iodine-125 radiolabel is a laboratory test system designed to detect and quantify lysergic acid diethylamide (LSD) in patient specimens using radioimmunoassay techniques. It is classified as Class 2, requiring a 510(k) premarket notification prior to marketing. The product code is DLB, regulated under 21 CFR 862.3580, within the Clinical Toxicology specialty. It is eligible for third-party 510(k) review.

510(k) Clearances

7 matches
K Number
Device Name
ABUSCREEN ONLINE LSD REAGENT (90 ML TEST KIT)
EMIT II LSD ASSAY, EMIT LSD CALIBRATORS & EMIT LSD CONTROLS
CEDIA DAU LSD ASSAY
STC DIAGNOSTICS LSD MICRO-PLATE EIA
COAT-A-COUNT(TM) LSD RADIOIMMUNOASSAY KIT
REVISED LABELING FOR LSD TEST KIT
ABUSCREEN RADIOIMMUNOASSAY FOR LSD W/ REF STANDARD

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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