K080347 · Taiwan Unison Biotech, Inc. · DJC · Oct 9, 2008 · Clinical Toxicology
Device Facts
Record ID
K080347
Device Name
UNISCAN -DOA SYSTEM
Applicant
Taiwan Unison Biotech, Inc.
Product Code
DJC · Clinical Toxicology
Decision Date
Oct 9, 2008
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 862.3610
Device Class
Class 2
Attributes
3rd-Party Reviewed
Indications for Use
TUBI's UNISCAN-DoA is a system intended for use in Drugs of Abuse Screening Tests. This mAMP/Opi/THC panel test is a prescription assay intended for use with UNISCAN-DoA scanner in laboratory by professional personnel. The mAMP/Opi/THC assays were calibrated with d-methamphetamine/morphine/11-nor-△-THC-9-COOH, respectively. It provides qualitative screening results for Methamphetamine/ Opiate/cannabinoids in human urine at a cutoff concentration of 1000/300/50 ng/ml. For In Vitro Diagnostic Use. This assay provides only a preliminary result. Clinical consideration and professional judgment should be applied to any Drug of Abuse test result, particularly in evaluating a preliminary positive result. To obtain a confirmed analytical result, a more specific alternate chemical method is needed. Gas Chromatography/Mass Spectroscopy (GC/MS) is the recommended confirmatory method.
Device Story
UNISCAN-DoA system comprises a scanner and a colloidal gold-based chromatographic immunoassay test panel. Input: urine specimen applied to test strip. Principle: competitive immunoassay; drug in urine competes with drug-protein conjugate for limited antibody-colloidal gold conjugate. Scanner uses contact image sensor (CIS) to measure color intensity of test lines; intensity inversely proportional to drug concentration. Scanner processes signal via stored nonlinear regression calibration curve to determine qualitative result. Output: qualitative drug presence displayed on LCD screen. Used in laboratory settings by professional personnel. Provides preliminary screening; results require GC/MS confirmation for clinical decision-making. Benefits: rapid, automated objective reading of test strip color intensity.
System includes scanner and membrane-based chromatographic immunoassay strip. Sensing: Contact Image Sensor (CIS) for colorimetric detection. Principle: Competitive immunoassay with colloidal gold labeling. Calibration: Nonlinear regression curve stored in scanner. Connectivity: Standalone device with LCD display.
Indications for Use
Indicated for professional laboratory use as a qualitative screening tool for Methamphetamine, Opiates, and cannabinoids in human urine. Cutoff concentrations: 1000 ng/ml (mAMP), 300 ng/ml (Opiates), 50 ng/ml (THC). Preliminary results require clinical judgment and GC/MS confirmation.
Regulatory Classification
Identification
A methamphetamine test system is a device intended to measure methamphetamine, a central nervous system stimulating drug, in serum, plasma, and urine. Measurements obtained by this device are used in the diagnosis and treatment of methamphetamine use or overdose.
Special Controls
*Classification.* Class II (special controls). A methamphetamine test system is not exempt if it is intended for any use other than employment or insurance testing or is intended for Federal drug testing programs. The device is exempt from the premarket notification procedures in subpart E of part 807 of this chapter subject to the limitations in § 862.9, provided the test system is intended for employment and insurance testing and includes a statement in the labeling that the device is intended solely for use in employment and insurance testing, and does not include devices intended for Federal drug testing programs (*e.g.,* programs run by the Substance Abuse and Mental Health Services Administration (SAMHSA), the Department of Transportation (DOT), and the U.S. military).
Predicate Devices
Triage TOX Drug Screen (k043242)
Submission Summary (Full Text)
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510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION
DECISION SUMMARY
ASSAY AND INSTRUMENT COMBINATION TEMPLATE
A. 510(k) Number:
k080347
B. Purpose for Submission:
New device
C. Measurand:
Methamphetamine, opiates, and THC (tetrahydrocannabinol)
D. Type of Test:
Qualitative immunoassay
E. Applicant:
Taiwan Unison Biotech Inc.
F. Proprietary and Established Names:
mAmp/Opi/THC Panel Test with SUDoA-01 scanner
G. Regulatory Information:
1. Regulation section:
21 CFR 862.3610, Methamphetamine test system.
21 CFR 862.3650, Opiate test system.
21 CFR 862.3870, Cannabinoid test system.
2. Classification:
All Class II
3. Product Code:
DJC
DJG
LDJ
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4. Panel: Toxicology (91)
H. Intended Use:
1. Intended use(s):
Refer to Indications for use.
2. Indication(s) for use:
TUBI's UNISCAN-DoA is a system intended for use in Drugs of Abuse Screening Tests.
The mAMP/Opi/THC panel test is a prescription assay intended for use with UNISCAN-DoA Scanner in laboratory by professional personnel. The mAMP/Opi/THC assays were calibrated with d-methamphetamine/morphine/11-nor-Δ⁹-THC-9-COOH, respectively. It provides qualitative screening results for Methamphetamine/ Opiates/ Cannabinoids in human urine at a cutoff concentration of 1000/300/50 ng/mL. For In Vitro Diagnostic Use.
This assay provides only a preliminary result. Clinical consideration and professional judgment should be applied to any drug of abuse test result, particularly in evaluating a preliminary positive result. To obtain a confirmed analytical result, a more specific alternate chemical method is needed. Gas Chromatography/Mass Spectroscopy (GC/MS) is the recommended confirmatory method.
3. Special condition for use statement(s):
This assay provides only a preliminary result. Clinical consideration and professional judgment should be applied to any drug of abuse test result, particularly in evaluating a preliminary positive result. To obtain a confirmed analytical result, a more specific alternate chemical method is needed. Gas Chromatography/Mass Spectroscopy (GC/MS) is the recommended confirmatory method.
The assay is not designated for use in point-of-care settings.
Tests for opiates cannot distinguish between abused drugs and certain prescribed medications. Certain foods or medications may interfere with tests for amphetamines and opiates and cause false positive results.
4. Special instrument Requirements:
UNISCAN-DoA Scanner
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# I. Device Description:
The product is a single-use device in a cassette format. Operators add several drops of the sample to the sample well. The test reaction is initiated by movement of the sample through the test strip. At the end of the 25 minute incubation period the user inserts the cartridge into the reader. The reader performs a color signal analysis on the reacted test cassette and produces a result of negative, positive, or invalid. Prior to insertion of the cassette, the operator must enter the correct panel number (which identifies the test cassette) and the strip calibration curve for the specific lot of test cassette.
Description of the test antibodies: monoclonal mouse antibody against d-methamphetamine, morphine, and 11-nor-Δ⁹-THC-9-COOH
Description of the control line antibody: polyclonal goat anti-mouse IgG
# J. Substantial Equivalence Information:
1. Predicate device name(s):
Triage TOX Drug Screen
2. Predicate K number(s):
k043242
3. Comparison with predicate:
Both devices are for the qualitative determination of methamphetamine, opiates, and THC in urine, and utilize the same cutoff concentrations. Both are read by an instrument. The reagent formulations vary between the two devices.
| Similarities | | |
| --- | --- | --- |
| Item | Device | Predicate |
| Matrix | Same | Urine |
| Analyte cutoffs | Same | Methamphetamine – 1000 ng/mL
Opiates – 300 ng/mL
THC – 50 ng/mL |
| Test principle | Same | Fluorescence immunoassay read by an instrument |
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| Differences | | |
| --- | --- | --- |
| Item | Device | Predicate |
| Analytes available | Methamphetamine
Opiates
THC | Methamphetamine
Opiates
THC
Acetaminophen
Barbiturates
Benzodiazepines
Cocaine
PCP
Tricyclic antidepressants |
| Reagent storage temperature | 4 – 30° C | 2 – 8° C |
## K. Standard/Guidance Document Referenced (if applicable):
- CLSI EPI2-P; User Protocol for Evaluation of Qualitative Test Performance; Proposed Guidance
- IEC 61010-1:2001; Safety requirements for electrical equipment for measurement, control, and laboratory use -Part 1: General requirements
- IEC 6101 0-2-10 1:2002; Safety requirements for electrical equipment for measurement, control and laboratory use -Part 2-101: Particular requirements for in vitro diagnostic (IVD) medical equipment
- IEC 60601-1-2:2001; Medical Electrical Equipment -Part 1-2: General Requirements for Safety; Electromagnetic Compatibility --Requirements and Tests
## L. Test Principle:
The test employs lateral flow immunochromatographic technology.
Drug in the sample and drug-labeled conjugate (containing a chromagen) compete for antibody binding sites in the test area of the test strip. Binding of drug in the sample causes the absence of a line at the test area, i.e., a positive result. When drug is not present in the sample, the drug-labeled conjugate binds at the test line, resulting in formation of a line, i.e., a negative result. At the end of the incubation period the user inserts the cartridge into the reader, which produces a result of negative, positive, or invalid.
The device also has an internal process control which indicates that an adequate volume of sample has been added and that the immunochromatographic strip is intact.
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M. Performance Characteristics (if/when applicable):
1. Analytical performance:
a. Precision/Reproducibility:
Within-day precision
Specimen description: drug free urine spiked with $\Delta^9$-THC-COOH, morphine, and d-methamphetamine
Number of days: one
Replicates per day: 25
Lots of product used: one
Number of operators: three
Operator: manufacturer staff
Testing Facility: manufacturer
Results of the study are presented below:
Cannabinoid (THC) Precision Study Results
| Concentration of sample, ng/mL | Number of determinations | Results # Neg/ #Pos |
| --- | --- | --- |
| 0 | 25 | 25/0 |
| 12.5 | 25 | 25/0 |
| 25 | 25 | 25/0 |
| 37.5 | 25 | 23/2 |
| 50 | 25 | 6/19 |
| 62.5 | 25 | 0/25 |
| 75 | 25 | 0/25 |
| 87.5 | 25 | 0/25 |
| 100 | 25 | 0/25 |
Opiates Precision Study Results
| Concentration of sample, ng/mL | Number of determinations | Results # Neg/ #Pos |
| --- | --- | --- |
| 0 | 25 | 25/0 |
| 75 | 25 | 25/0 |
| 150 | 25 | 25/0 |
| 225 | 25 | 23/2 |
| 300 | 25 | 8/17 |
| 375 | 25 | 3/22 |
| 450 | 25 | 0/25 |
| 525 | 25 | 0/25 |
| 600 | 25 | 0/25 |
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Methamphetamine Precision Study Results
| Concentration of sample, ng/mL | Number of determinations | Results # Neg/ #Pos |
| --- | --- | --- |
| 0 | 25 | 25/0 |
| 250 | 25 | 25/0 |
| 500 | 25 | 25/0 |
| 750 | 25 | 24/1 |
| 1000 | 25 | 11/14 |
| 1250 | 25 | 4/21 |
| 1500 | 25 | 1/24 |
| 1750 | 25 | 0/25 |
| 2000 | 25 | 0/25 |
## Between lot precision
Specimen description: drug free urine spiked with $\Delta^9$-THC-COOH, morphine, and d-methamphetamine
Number of days: one
Replicates per day: 15
Lots of product used: 3
Number of operators: three
Operator: manufacturer staff
Testing Facility: manufacturer
Results of the study are presented below:
| Analyte | | Methamphetamine | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Conc (ng/mL) | | 0 | 250 | 500 | 750 | 1250 | 1500 | 1750 | 2000 |
| n | | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 |
| Lot 1 | # positive | 0 | 0 | 0 | 1 | 12 | 14 | 15 | 15 |
| | # negative | 15 | 15 | 15 | 14 | 3 | 1 | 0 | 0 |
| Lot 2 | # positive | 0 | 0 | 0 | 2 | 13 | 14 | 15 | 15 |
| | # negative | 15 | 15 | 15 | 13 | 2 | 1 | 0 | 0 |
| Lot 3 | # positive | 0 | 0 | 0 | 0 | 12 | 15 | 15 | 15 |
| | # negative | 15 | 15 | 15 | 15 | 3 | 0 | 0 | 0 |
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| Analyte | | Opiates | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Conc (ng/mL) | | 0 | 75 | 150 | 225 | 375 | 450 | 525 | 600 |
| n | | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 |
| Lot 1 | # positive | 0 | 0 | 0 | 1 | 13 | 14 | 15 | 15 |
| | # negative | 15 | 15 | 15 | 14 | 2 | 1 | 0 | 0 |
| Lot 2 | # positive | 0 | 0 | 0 | 1 | 12 | 15 | 15 | 15 |
| | # negative | 15 | 15 | 15 | 14 | 3 | 0 | 0 | 0 |
| Lot 3 | # positive | 0 | 0 | 0 | 1 | 12 | 14 | 15 | 15 |
| | # negative | 15 | 15 | 15 | 14 | 3 | 1 | 0 | 0 |
| Analyte | | THC | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Conc (ng/mL) | | 0 | 12.5 | 25 | 37.5 | 62.5 | 75 | 87.5 | 100 |
| n | | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 |
| Lot 1 | # positive | 0 | 0 | 0 | 1 | 15 | 15 | 15 | 15 |
| | # negative | 15 | 15 | 15 | 14 | 0 | 0 | 0 | 0 |
| Lot 2 | # positive | 0 | 0 | 0 | 2 | 14 | 14 | 15 | 15 |
| | # negative | 15 | 15 | 15 | 13 | 1 | 1 | 0 | 0 |
| Lot 3 | # positive | 0 | 0 | 0 | 0 | 14 | 15 | 15 | 15 |
| | # negative | 15 | 15 | 15 | 15 | 1 | 0 | 0 | 0 |
## Between day precision
Specimen description: drug free urine spiked with $\Delta^9$-THC-COOH, morphine, and d-methamphetamine
Number of days: 5
Replicates per day: 3
Lots of product used: 1
Number of operators: three
Operator: manufacturer staff
Testing Facility: manufacturer
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Results of the study are presented below:
| Analyte | | Methamphetamine | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Conc (ng/mL) | | 0 | 250 | 500 | 750 | 1250 | 1500 | 1750 | 2000 |
| n | | 15 | 15 | 15 | 15 | 15 | 15 | 15 | 15 |
| Day 1 | # positive | 0 | 0 | 0 | 0 | 3 | 3 | 3 | 3 |
| | # negative | 3 | 3 | 3 | 3 | 0 | 0 | 0 | 0 |
| Day 2 | # positive | 0 | 0 | 0 | 1 | 3 | 3 | 3 | 3 |
| | # negative | 3 | 3 | 3 | 2 | 0 | 0 | 0 | 0 |
| Day 3 | # positive | 0 | 0 | 0 | 1 | 2 | 3 | 3 | 3 |
| | # negative | 3 | 3 | 3 | 2 | 1 | 0 | 0 | 0 |
| Day 4 | # positive | 0 | 0 | 0 | 0 | 3 | 3 | 3 | 3 |
| | # negative | 3 | 3 | 3 | 3 | 0 | 0 | 0 | 0 |
| Day 5 | # positive | 0 | 0 | 0 | 0 | 3 | 3 | 3 | 3 |
| | # negative | 3 | 3 | 3 | 3 | 0 | 0 | 0 | 0 |
| Analyte | | Opiates | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Conc (ng/mL) | | 0 | 75 | 150 | 225 | 375 | 450 | 525 | 600 |
| n | | 15 | 15 | 15 | 15 | 15 | 15 | 15 | 15 |
| Day 1 | # positive | 0 | 0 | 0 | 0 | 3 | 3 | 3 | 3 |
| | # negative | 3 | 3 | 3 | 3 | 0 | 0 | 0 | 0 |
| Day 2 | # positive | 0 | 0 | 0 | 0 | 2 | 3 | 3 | 3 |
| | # negative | 3 | 3 | 3 | 3 | 1 | 0 | 0 | 0 |
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| Day 3 | # positive | 0 | 0 | 0 | 1 | 3 | 3 | 3 | 3 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | # negative | 3 | 3 | 3 | 2 | 0 | 0 | 0 | 0 |
| Day 4 | # positive | 0 | 0 | 0 | 1 | 2 | 3 | 3 | 3 |
| | # negative | 3 | 3 | 3 | 2 | 1 | 0 | 0 | 0 |
| Day 5 | # positive | 0 | 0 | 0 | 0 | 3 | 3 | 3 | 3 |
| | # negative | 3 | 3 | 3 | 3 | 0 | 0 | 0 | 0 |
| Analyte | | THC | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Conc (ng/mL) | | 0 | 12.5 | 25 | 37.5 | 62.5 | 75 | 87.5 | 100 |
| n | | 15 | 15 | 15 | 15 | 15 | 15 | 15 | 15 |
| Day 1 | # positive | 0 | 0 | 0 | 0 | 3 | 3 | 3 | 3 |
| | # negative | 3 | 3 | 3 | 3 | 0 | 0 | 0 | 0 |
| Day 2 | # positive | 0 | 0 | 0 | 0 | 3 | 3 | 3 | 3 |
| | # negative | 3 | 3 | 3 | 3 | 0 | 0 | 0 | 0 |
| Day 3 | # positive | 0 | 0 | 0 | 0 | 3 | 3 | 3 | 3 |
| | # negative | 3 | 3 | 3 | 3 | 0 | 0 | 0 | 0 |
| Day 4 | # positive | 0 | 0 | 0 | 0 | 3 | 3 | 3 | 3 |
| | # negative | 3 | 3 | 3 | 3 | 0 | 0 | 0 | 0 |
| Day 5 | # positive | 0 | 0 | 0 | 0 | 3 | 3 | 3 | 3 |
| | # negative | 3 | 3 | 3 | 3 | 0 | 0 | 0 | 0 |
# b. Linearity/assay reportable range:
Not applicable. The assay is intended for qualitative use.
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c. Traceability (controls, calibrators, or method):
Positive and negative external control materials are required but are not specifically identified in the labeling.
The device has an internal process control. Users are instructed to follow government regulations when determining when to run positive and negative external controls.
d. Detection limit:
Sensitivity of this assay is characterized by validating performance around the claimed cutoff concentration of the assay, including a determination of the lowest concentration of drug that is capable of producing a positive result. This information appears in the precision section, above.
e. Analytical specificity:
Cross-reactivity was established by spiking various concentrations of similarly structured drug compounds into drug-free urine. By analyzing various concentrations of each compound the sponsor determined the concentration of the drug that produced a response approximately equivalent to the cutoff concentration of the assay. Results of those studies appear in the table(s) below:
Methamphetamine
| Drug Compound | Response equivalent to cutoff in ng/mL |
| --- | --- |
| d-amphetamine | >100 μg/mL |
| l-amphetamine | >100 μg/mL |
| d-methamphetamine | 1,000 |
| l-methamphetamine | 30,000 |
| 3,4-Methylenedioxyethylamphetamine(MDEA) | >100 μg/mL |
| D,L 3,4-Methylenedioxymethamphetamine (MDMA) | 1,000 |
| 3,4-Methylenedioxyamphetamine (MDA) | >100 μg/mL |
| Ephedrine | >100 μg/mL |
| Pseudoephedrine | >100 μg/mL |
Opiates
| Drug compound | Response equivalent to cutoff in ng/mL |
| --- | --- |
| 6-monoacetylmorphine | 300 |
| Codeine | 300 |
| Norcodeine | 2,500 |
| Heroin | 750 |
| Hydrocodone | 1,250 |
| Hydromorphone | 1,250 |
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| Drug compound | Response equivalent to cutoff in ng/mL |
| --- | --- |
| Oxycodone | 2,500 |
| Morphine | 300 |
| Morphine-3-β-glucuronide | 375 |
| Nalorphine | 750 |
| Ethylmorphine | 300 |
Cannabinoids (THC)
| Compound | Response equivalent to cutoff in ng/mL |
| --- | --- |
| 11-Hydroxy-Δ9-Tetrahydrocannabinol | 5000 |
| 11-Nor-Δ8-Tetrahydrocannabinol – 9 – carboxylic acid | 37.5 |
| 11-Nor-Δ9-Tetrahydrocannabinol – 9 – carboxylic acid | 50 |
| Δ8-Tetrahydrocannabinol | 15,000 |
| Δ9-Tetrahydrocannabinol | 25,000 |
The following compounds were evaluated for potential positive and/or negative interference with the assay. To evaluate for interference the sponsor prepared control samples that consisted of drug-free urine, drug-free urine spiked at $50\%$ of the cutoff, and drug-free urine spiked at $150\%$ of the cutoff:
| Analyte | Methamphetamine | Opiates | THC |
| --- | --- | --- | --- |
| 50% of cutoff | 500 (ng/mL) | 150 (ng/mL) | 12.5 (ng/mL) |
| 150% of cutoff | 1500 (ng/mL) | 450 (ng/mL) | 37.5 (ng/mL) |
$100\mu \mathrm{g / mL}$ of each potentially interfering compound was then added to aliquots of the control samples described above and analyzed. There were no deviations from the expected results. None of the compounds exhibited any negative or positive interference with the assay
| Acetaminophen | Cortisone | Ibuprofen | Salicylic acid |
| --- | --- | --- | --- |
| Acetamidophenol | Deoxyephedrine | Isoproterenol | Tetracycline |
| Acetylsalicylic acid | Digitoxin | Ketamine | Tetrahydrozoline |
| Amikacin | Digoxin | Lidocaine | Theophylline |
| Arterenol | Diphenhydramine | Neomycin | Thioridazine |
| Ascorbic acid | Epinephrine | Niacinamide | Trifluoperazine |
| Atropine | Gentisic | Perphenazine | Tryptophan |
| Caffeine | Guaiacol glycer ester | Penicillin G | Tyramine |
| Camphor | Histamine | Phenylpropanolamine | Oxazepam |
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| Chloroquine | Hydrochlorothiazine | Promethazine | Chlorpheniramine |
| --- | --- | --- | --- |
| Homatrophine | Quinine antidine | | |
There is the possibility that other substances and/or factors not listed above may interfere with the test and cause false results, e.g., interferences, technical, or procedural errors.
To test for potential positive/and or negative interference from endogenous conditions the sponsor prepared the sponsor prepared control samples that consisted of drug-free urine, drug-free urine spiked at 50% of the cutoff, and drug-free urine spiked at 150% of the cutoff and tested the following compounds and physiological conditions:
2000 mg/dL glucose
5.0 – 8.5 pH
1.004, 1.010, and 1.030 specific gravity
2000 mg/dL albumin
10 mg/dL hemoglobin
4000 mg/dL urea
10 mg/dL uric acid
There were no deviations from the expected results.
f. Assay cut-off:
The identified cutoff concentrations for methamphetamine and THC are recommended for use by the Substance Abuse and Mental Health Services Administration (SAMHSA). For opiates, SAMHSA recommends a cutoff of 2,000 ng/mL while the sponsor has chosen to use 300 ng/mL.
Characterization of how the device performs analytically around the claimed cutoff concentration appears in the precision section, above.
2. Comparison studies:
a. Method comparison with predicate device:
Because the candidate device was compared to a reference method, GC/MS, it was not compared to a predicate device.
Sample description: Unaltered clinical urine samples were evaluated.
The study included an adequate number of samples that contained drugs near to the cutoff concentration of the assay. Approximately
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10% of the study samples are evenly distributed between plus and minus 50% of the claimed cutoff concentration.
Number of study sites: one
Type of study site(s): clinical setting
Operator description: manufacturer's staff
## Candidate Device Results vs. stratified GC/MS Values
### Methamphetamine
| Candidate Device Results | Less than half the cutoff concentration by GC/MS analysis | Near Cutoff Negative (Between 50% below the cutoff and the cutoff concentration) | Near Cutoff Positive (Between the cutoff and 50% above the cutoff concentration) | High Positive (greater than 50% above the cutoff concentration) |
| --- | --- | --- | --- | --- |
| Positive | 0 | 2 | 5 | 42 |
| Negative | 43 | 4 | 1 | 0 |
GC/MS values used to categorize samples in this table are based on the concentration of methamphetamine found in the sample.
% Agreement among positives is 98%.
% Agreement among negatives is 96%
### Opiates
| Candidate Device Results | Less than half the cutoff concentration by GC/MS analysis | Near Cutoff Negative (Between 50% below the cutoff and the cutoff concentration) | Near Cutoff Positive (Between the cutoff and 50% above the cutoff concentration) | High Positive (greater than 50% above the cutoff concentration) |
| --- | --- | --- | --- | --- |
| Positive | 0 | 0 | 3 | 41 |
| Negative | 43 | 5 | 2 | 0 |
GC/MS values used to categorize samples in this table are determined by adding together the concentration of morphine and codeine found in the sample.
% Agreement among positives is 96%
% Agreement among negatives is 100%
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THC
| Candidate Device Results | Less than half the cutoff concentration by GC/MS analysis | Near Cutoff Negative (Between 50% below the cutoff and the cutoff concentration) | Near Cutoff Positive (Between the cutoff and 50% above the cutoff concentration) | High Positive (greater than 50% above the cutoff concentration) |
| --- | --- | --- | --- | --- |
| Positive | 0 | 1 | 4 | 41 |
| Negative | 43 | 4 | 1 | 0 |
GC/MS values used to categorize samples in this table are based on the concentration of THC found in the sample.
% Agreement among positives is 98%
% Agreement among negatives is 98%
b. Matrix comparison:
Not applicable. The assay is intended for only one sample matrix.
3. Clinical studies:
a. Clinical sensitivity:
Not applicable. Clinical studies are not typically submitted for this device type.
b. Clinical specificity:
Not applicable. Clinical studies are not typically submitted for this device type.
c. Other clinical supportive data (when a and b are not applicable):
4. Clinical cut-off:
Not applicable.
5. Expected values/Reference range:
Not applicable.
N. Instrument Name
UNISCAN –DoA Scanner
O. System Descriptions
1. Modes of Operation:
Each test cassette is single use only and must be replaced for each sample.
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2. Software:
FDA has reviewed applicant’s Hazard Analysis and software development processes for this line of product types:
Yes ☐ X ☑ or No ☐
3. Specimen Identification:
There is no sample identification function with this device. Samples are applied directly to the test strip as they are collected.
4. Specimen Sampling and Handling:
There are no special sampling or handling issues. The sponsor recommends that specimens be brought to room temperature prior to testing and that samples with particulate matter be centrifuged before testing.
5. Calibration:
Calibration parameters are provided for each lot of test cartridges. Prior to testing, the user must enter the test type (referred to as a panel) and the strip calibration curve data.
6. Quality Control:
Each device has internal process controls which run with every sample. A line appearing in the control region confirms that sufficient sample volume and that interpret the test if the control line fails to be detected by the scanner.
Positive and negative external controls are available from commercial sources to ensure proper system performance. In the labeling, the manufacturer recommends that the external control values are within established range and if the values of external control do not fall within established range, the test results are invalid and the sample needs to be repeated.
P. Other Supportive Instrument Performance Characteristics Data Not Covered In The "Performance Characteristics" Section above:
Q. Proposed Labeling:
The labeling is sufficient and it satisfies the requirements of 21 CFR Part 809.10
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**R. Conclusion:**
The submitted information in this premarket notification is complete and supports a substantial equivalence decision.
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Narrow by SaMD (software-only devices), then narrow by AI/ML (devices with AI).
2. The results table
Scroll right in the results table. The intended use is extracted for you — no need to open the PDF. The device story gives a high-level snapshot of what the device does and how it's used. The AI Performance sub-table shows each output name, acceptance criteria, observed values, and development/test dataset descriptions — the same format Innolitics uses for regulatory strategy outputs, and the fastest high-level fingerprint of an AI device. It is AI-generated but has been very reliable in practice.
Where do you find a device's intended use without opening the PDF?
Scroll right in the search results table. The intended use column is extracted for you; no need to dig into the 510(k) summary PDF.
What does the AI Performance sub-table show, and why is it useful?
Output name, acceptance criteria, observed values, development dataset description, and test dataset description. It's the same format we use for regulatory strategy output and Fast 510(k) input, and the fastest high-level fingerprint of an AI device. AI-generated but reliable in practice.
3. Judging fuzzy relevance
Fuzzy results trail off in relevance as you scroll. Use three signals to decide how far down to go: the fuzzy badge explanations, the intended use column, and whether your target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, you're past the relevant zone. A top hit with a low score (~0.4) and a stretched explanation is a hint the closest predicates are far away — the project may be headed for De Novo. Note the fuzzy search is a pattern match: it doesn't handle negation ("not") well, and hardware devices can appear — filter by SaMD/AI ML to cut them.
How do you judge how far down fuzzy search results to go?
Use the relevancy signals: the fuzzy badge explanations, the intended use column, and whether the target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, results are trailing off in relevancy.
4. Device detail page: chat and citations
Click a device name to open its detail page: device facts on the left, a chat window on the right. Ask something like "Describe the training data". The answer carries little citation bubbles — click one to jump to the highlighted passage in the source PDF, so you can verify every AI answer against the document. There's also a Download PDF button for sharing.
How do you verify an AI chat answer on the device detail page?
Click the citation bubbles to jump to the relevant highlight in the source document.
Reading rule for every project: how many summaries do you read in full?
At least the three most relevant 510(k) or De Novo summaries, in full. After that, use targeted chat questions to confirm your memory quickly. The tool supports this professional habit — it doesn't replace it.
5. Side-by-side comparison
Select multiple rows in the results table (aim for under ~10), then open the PDF Viewer tab. Ask one question — it goes to all selected devices in parallel, each with citations. This is the fastest way to compare and contrast devices: training data, PCCP scope, how they handled adding new scanners, and so on.
What does the side-by-side PDF viewer mode do?
Select multiple devices, open the PDF viewer tab, and ask one question (e.g., "Describe the training data"). It queries all selected devices simultaneously with citations, so you can compare and contrast quickly.
6. Collections
With rows selected, go to the Collections tab and create a labeled collection (e.g., "Cobb Angle Project"). Reload that selection any time — before a client call, pull up the collection and ask questions across all of its devices at once.
How do you save a set of selected devices for later use?
Select the rows, go to the Collections tab, and create a labeled collection (e.g., "Cobb Angle Project"). You can reload the selection anytime and carry it into the PDF viewer and other tabs that support selections.
7. Product codes and the regulations tree
Click a product code in the results to jump to it in the regulations tree — identification text, sibling product codes, and devices you can open in a PDF viewer on the right. Click a regulation number to see its identification, special controls, and related product codes. You can also search by product code or regulation number at the top of the tree. Always read the special controls if any exist for your device — it broadens your search and sharpens pre-kickoff research.
What can you do from the regulations tree view?
Browse product codes and regulation numbers, read the identification text and special controls, browse sibling product codes, open device PDFs on the right, and search by product code or regulation number at the top of the tree.
8. Chart view
Click Show Chart and segment by regulation number (or product code) to see which regulations dominate your result set. Clicking a regulation takes you into the regulations tree. Great for spotting that most matches are, say, hardware laparoscopic devices — a cue to go back and filter.
How do you see which regulations dominate a search result set?
Click "Show Chart" and segment by Regulation Number. Clicking a regulation takes you to the regulations tree.
9. The predicate graph
Open the Predicates tab for a family-tree view of predicate relationships. Click a node to trace its parents and children; selections from search carry over pre-selected. Commonly predicated devices are worth reading — a lot of people predicated them for a reason. The visual lineage is also handy on client calls, e.g. to show how a predicate family evolved and justify why your predicate still holds.
In the predicate graph, why are commonly predicated devices worth reading?
A lot of people predicated them for a reason. Clicking a node traces parents and children, and selections from search carry over pre-selected.
10. Embeddings: the galaxy map
The Embeddings tab plots every matching document in a 2-D "galaxy map" where semantically similar devices cluster together. Hover or click clusters to explore, and let AI label the clusters for you. Embeddings beat product codes for grouping: two devices can carry different product codes (LLZ vs. QIH) yet do the same thing — the embedding captures the meaning of the intended use and device story. This is also exactly how retrieval-augmented generation (RAG) works under the hood, and it makes a great visual on client calls.
Try it yourself
Head to the search page and work through a few of these AI/ML fuzzy searches to build intuition: perivascular fat on CT · aortic valve calcification opportunistic screening on noncontrast CT · breast cancer prediction on digital pathology slides · autism detection · gestational age prediction · a hearing aid that can also detect a pulse · foundation model based analysis of ECG · large language models · penetration test. Watch how the relevance scores, intended use, and AI Performance tables tell you when results stop being meaningful.