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: MKU FDA class 1

Enzyme Immunoassay, Nicotine And Nicotine Metabolites

Clinical Toxicology

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The Enzyme Immunoassay for Nicotine and Nicotine Metabolites is an in vitro diagnostic test used to detect and measure nicotine and its metabolites, such as cotinine, in biological specimens like urine or blood, primarily used for tobacco use screening, cessation program monitoring, or occupational health assessments. Classified as a Class 1 device under 21 CFR 862.3220 within the Clinical Toxicology specialty, it is subject to general controls only and is generally exempt from 510(k) premarket notification. It carries no implant or life-sustaining flags.

510(k) Clearances

7 matches
K Number
Device Name
Psychemedics Microplate EIA for Cotinine in Hair
LZI Cotinine II Enzyme Immunoassay
STATUS DS NICOTINE, ACCUSIGN NICOTINE, BIOSIGN NICOTINE
COZART EIA COTININE URINE KIT
MICRO-PLATE COTININE EIA
MICRO-PLATE COTININE EIA
AUTO-LYTE COTININE EIA

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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