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: LFH FDA class 2

U.V. Spectrometry, Tricyclic Antidepressant Drugs

Clinical Toxicology

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UV spectrometry for tricyclic antidepressant drugs is a laboratory analytical method that uses ultraviolet spectrophotometry to detect and quantify tricyclic antidepressant compounds in biological specimens for therapeutic drug monitoring or toxicological analysis. The device is FDA Class 2, indicating moderate risk and requiring 510(k) premarket clearance. It bears product code LFH and is regulated under 21 CFR 862.3910 within the Clinical Toxicology specialty. This device is eligible for third-party review.

510(k) Clearances

6 matches
K Number
Device Name
Alinity c Tricyclic Antidepressants Reagent Kit
DRI TM Tricyclics Serum Tox Assay
MODIFICATION OF TRICYCLIC SERUM TOX EIA ASSAY
ACCUSIGN TCA, BIOSIGN TCA, STAUS DS TCA
TRICYCLICS SERUM TOX ASSAY
AXSYM TRICYCLIC ANTIDEPRESSANTS

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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