BIONEXA SINGLE AND MULTI-STRIP CASSETTE/DIPSTICK DOA SCREEN PANELS ( AMP, BAR, BZO, COC, MET, MTD, MOR, PCP, TCA, THC,
K080467 · Applied Dna Technologies, Inc. · LDJ · Nov 25, 2008 · Clinical Toxicology
Device Facts
Record ID
K080467
Device Name
BIONEXA SINGLE AND MULTI-STRIP CASSETTE/DIPSTICK DOA SCREEN PANELS ( AMP, BAR, BZO, COC, MET, MTD, MOR, PCP, TCA, THC,
Applicant
Applied Dna Technologies, Inc.
Product Code
LDJ · Clinical Toxicology
Decision Date
Nov 25, 2008
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 862.3870
Device Class
Class 2
Indications for Use
The Applied DNA Technologies Bionexia™ DOA Screen Panels are rapid chromatographic immunoassays for the qualitative and simultaneous detection of one to thirteen of the following drugs in a variety of combinations in human urine. The designed cutoff concentrations and direct calibrator for these drugs are as follows: [Table of analytes and cutoffs]. The test kits are for health care professionals use including professionals at point of care sites to assist in the determination of drug compliance. This assay provided only a preliminary analytical test result. A more specific alternative chemical method must be used in order to obtain a confirmed analytical result. Gas Chromatography / Mass Spectrometry (GC/MS) or Liquid Chromatography / Mass Spectrometry (LC/MS) are the preferred confirmatory method. Clinical consideration and professional judgment should be applied to any drug of abuse test result. particularly when preliminary positive results are indicated.
Device Story
One-step, colloidal gold-based chromatographic immunoassay; detects drugs of abuse in human urine. Device format: single/multi-strip cassette or dipstick. Used by healthcare professionals at point-of-care sites. Input: human urine sample. Principle: competitive binding immunoassay; drug in sample competes with drug conjugate for limited antibody binding sites. Output: visual qualitative result (presence/absence of colored lines). Healthcare provider interprets visual lines to determine presumptive positive or negative status. Results assist in drug compliance assessment; preliminary nature requires confirmatory testing (GC/MS or LC/MS) for clinical decision-making.
Clinical Evidence
Clinical performance evaluated via blind-labeled clinical specimen correlation studies and spiked control studies. Compared against GC/MS or LC/MS methodology. Total correlation >93.9%. Specificity, sensitivity, and precision demonstrated across all analytes. Table data shows high positive/negative agreement (e.g., AMP 98.1% overall, COC 98.2% overall, THC 97.5% overall).
Technological Characteristics
Lateral flow immunochromatographic assay. Components: membrane strips pre-coated with drug-protein conjugates, antibody-colloidal gold conjugate pad. Formats: cassette (plastic housing) or dipstick. Qualitative, visually read. No instrumentation required. Analyte-specific monoclonal antibodies used. Operates via capillary action. No specific materials or standards cited.
Indications for Use
Indicated for qualitative, simultaneous detection of 1-13 drugs (AMP, BAR, BZO, COC, THC, MET, MTD, MOR, PCP, NOR, MDMA, BUP, EDDP) in human urine. Intended for use by healthcare professionals, including at point-of-care sites, to assist in drug compliance determination. Provides preliminary analytical results; requires confirmation via GC/MS or LC/MS.
Regulatory Classification
Identification
A cannabinoid test system is a device intended to measure any of the cannabinoids, hallucinogenic compounds endogenous to marihuana, in serum, plasma, saliva, and urine. Cannabinoid compounds include delta-9-tetrahydrocannabinol, cannabidiol, cannabinol, and cannabichromene. Measurements obtained by this device are used in the diagnosis and treatment of cannabinoid use or abuse and in monitoring levels of cannabinoids during clinical investigational use.
Special Controls
*Classification.* Class II (special controls). A cannabinoid 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
ACON One Step Ecstasy Screen Test (k022589)
ACON One Step Morphine 300 Test (k013380)
Submission Summary (Full Text)
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# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY ASSAY ONLY TEMPLATE
A. 510(k) Number:
k080467
B. Purpose for Submission:
Amphetamine, Barbiturates, Benzodiazepines, Cocaine, Marijuana, Morphine 2000, Methamphetamine, Methadone, Phencyclidine, Nortriptyline were previously cleared for professional laboratory use (k061005) and are being cleared for point of care (POC) use in this submission. In addition, 4 new analytes (MDMA, EDDP, BUP and MOR 300) are being cleared for professional POC use.
C. Measurand:
Amphetamine, Barbiturates, Benzodiazepines, Cocaine, Marijuana, Morphine 2000, Methamphetamine, Methadone, Phencyclidine, Nortriptyline, Ecstasy, EDDP, Buprenorphine, and Morphine 300
D. Type of Test:
Qualitative lateral flow immunochromatographic test
E. Applicant:
Applied DNA Technologies Inc.
F. Proprietary and Established Names:
Bionexia™ Single and Multi-Strip DOA Cassette and Dipstick Screen Panels
G. Regulatory Information:
1. Regulation section:
21 CFR §862.3100: Amphetamine Test System
21 CFR §862.3150: Barbiturate Test System
21 CFR §862.3170: Benzodiazepine Test System
21 CFR §862.3250: Cocaine and Cocaine Metabolites Test System
21 CFR §862.3870: Cannabinoids Test System
21 CFR §862.3640: Morphine test system
21 CFR §862.3610: Methamphetamine Test System
21 CFR §862.3620: Methadone test system
Unclassified, 510(k) required: Phencyclidine Test System
21 CFR §862.3650: Opiates Test System,
21 CFR §862.3910: Tricyclic Antidepressant Drugs Test System
2. Classification:
Class II
3. Product code:
LDJ (THC), DIO (COC), DNK (MOR), DKZ (AMP), DJC (MET), DIS (BAR),
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JXM (BZO), DJR (MTD), LFG (NOR), DJC (MDMA), DJR (EDDP), DJG (BUP), and LCM (PCP).
4. Panel: Toxicology (91)
## H. Intended Use:
1. Intended use(s): See Indications for use below.
2. Indication(s) for use: The Applied DNA Technologies Bionexia™ DOA Panels are rapid chromatographic immunoassays for the qualitative and simultaneous detection of one to thirteen of the following drugs in a variety of combinations in human urine. The designed cutoff concentrations and direct calibrator for these drugs are as follows:
| Analyte | Abbreviation | Calibrator | Cutoff concentration |
| --- | --- | --- | --- |
| Amphetamine | AMP | Amphetamine | 1000 ng/ml |
| Barbiturate | BAR | Secobarbital | 300 ng/ml |
| Benzodiazepines | BZO | Oxazepam | 300 ng/ml |
| Cocaine | COC | Benzoylecgonine | 300 ng/ml |
| Marijuana | THC | 11-nor-Δ⁹-THC9-COOH | 50 ng/ml |
| Methamphetamine | MET | Methamphetamine | 1000 ng/ml |
| Methadone | MTD | Methadone | 300 ng/ml |
| Morphine | MOR | Morphine | 2000 ng/ml |
| Morphine | MOR | Morphine | 300 ng/ml |
| Phencyclidine | PCP | Phencyclidine | 25 ng/ml |
| Nortriptyline | NOR | Nortriptyline | 1000 ng/ml |
| Ecstasy | MDMA | 3,4-Methylenedioxy-MET | 500 ng/ml |
| Buprenorphine | BUP | BUP-3-D-Glucuronide | 10 ng/ml |
| EDDP | EDDP | 2-ethylidene-1,5-dimethyl-3,3-diphenylpyrrolidine | 100 ng/ml |
For health care professionals use including professionals at point of care sites (POC) to assist in the determination of drug compliance.
This assay provided only a preliminary analytical test result. A more specific alternative chemical method must be used in order to obtain a confirmed analytical result. Gas Chromatography / Mass Spectrometry (GC/MS) or Liquid Chromatography / Mass Spectrometry (LC/MS) are the preferred confirmatory method.
Clinical consideration and professional judgment should be applied to any drug of abuse test result, particularly when preliminary positive results are indicated.
3. Special conditions for use statement(s): For prescription use only.
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4. Special instrument requirements:
Not applicable, as the devices are visually-read single-use devices.
I. Device Description:
Bionexia™ Single and Multi-Strip DOA test has two formats: cassette and dipstick. These two formats are manufactured with the same formulation, components, and manufacturing processes. The Cassette contains a test in a plastic housing with a specimen well and a window to read the test results. A specimen pipette is included with the Test Device, but a specimen collection container is not included with either test format. Amphetamine, Barbiturates, Benzodiazepines, Cocaine, Marijuana, Morphine 2000, Methamphetamine, Methadone, Phencyclidine, Nortriptyline were previously cleared for professional laboratory use (k061005) and are being cleared for point of care (POC) use in this submission. In addition, 4 new analytes (MDMA, EDDP, BUP and MOR 300) are being cleared for professional POC use.
J. Substantial Equivalence Information:
1. Predicate device name(s):
ACON One Step Ecstasy Screen Test
ACON One Step Morphine 300 Test
2. Predicate 510(k) number(s):
k022589, k013380
3. Comparison with predicate:
The device is similar to or the same as to the previously cleared predicate(s) in the following ways: test principles, indication for use, cut-off concentration(s), use in a professional setting, sample matrix, endpoint, and test time.
The devices differ by manufacturer, specific monoclonal antibodies used, the analytes detected, and the proposed device is cleared for use in point-of-care settings.
K. Standard/Guidance Document Referenced (if applicable):
None referenced by the manufacturer.
L. Test Principle:
The Bionexia™ DOA Screen Panels are immunoassays in which chemically labeled drugs (drug-protein conjugates) compete for limited antibody binding sites with drugs which may be present in urine. The test device contains membrane strips which are pre-coated with drug-protein conjugates on the test band(s). On each strip, the drug antibody-colloidal gold conjugate pad is placed at one end of the membrane. In the absence of drug in the urine, the solution of the colored antibody-colloidal gold conjugate move along with the sample solution upward chromatographically by capillary action across the membrane to the immobilized drug-protein conjugate zone on the test band region. The colored antibody-gold conjugate then attaches to the drug-protein conjugates to form visible lines as the antibody complex with the drug conjugate. Therefore, the formation of the visible line in the test zone occurs when the test urine is negative for the drug. When the drug is present in the urine, the
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drug/metabolite antigen competes with drug-protein conjugate on the test band region for the limited antibody. When a sufficient concentration of the drug is present, it will fill the limited antibody binding sites. This will prevent attachment of the colored antibody (drug-protein conjugate)-colloidal gold conjugate to the drug-protein conjugate zone on the test band region. Therefore, absence of the color band on the test region indicates a positive result.
A control band with a different antigen/antibody reaction is added to the immunochromatographic membrane strip at the control region (C) to indicate that sufficient sample volume has been added. This control line should always appear regardless of the presence of drug or metabolite. If the control line does not appear the test device should be considered invalid.
## M. Performance Characteristics (if/when applicable):
### 1. Analytical performance:
#### a. Precision/Reproducibility:
The point of care (POC) precision study was conducted at three physician's office sites by untrained operators. 3 different lots (one lot per site) of product (Dipstick (strip) for all 13 analytes; Cassette and Dipstick for MOR 300) were used to demonstrate the within run, between run and between operator precision. Each product lot was tested by using GC/MS confirmed controls (LC/MS confirmed controls for BUP) at concentration levels of negative, 50%, 75%, 125%, and 150% of the cutoff. Each concentration level was tested 5 times a day for 3 days continuously. There was no significant difference in precision between the two lots or between the readers:
| Drug Con. | No. tested | Site 1 | | Site 2 | | Site 3 | | Total | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| MOR 2000 | | + | - | + | - | + | - | + | - |
| Negative | 45 | 0 | 15 | 0 | 15 | 0 | 15 | 0 | 45 |
| 50% of cutoff | 45 | 0 | 15 | 0 | 15 | 0 | 15 | 0 | 45 |
| 75% of cutoff | 45 | 0 | 15 | 0 | 15 | 0 | 15 | 0 | 45 |
| 125% of cutoff | 45 | 15 | 0 | 15 | 0 | 15 | 0 | 45 | 0 |
| 150% of cutoff | 45 | 15 | 0 | 15 | 0 | 15 | 0 | 45 | 0 |
| Drug Con. | No. tested | Site 1 | | Site 2 | | Site 3 | | Total | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| PCP | | + | - | + | - | + | - | + | - |
| Negative | 45 | 0 | 15 | 0 | 15 | 0 | 15 | 0 | 45 |
| 50% of cutoff | 45 | 0 | 15 | 0 | 15 | 0 | 15 | 0 | 45 |
| 75% of cutoff | 45 | 0 | 15 | 0 | 15 | 0 | 15 | 0 | 45 |
| 125% of cutoff | 45 | 15 | 0 | 15 | 0 | 15 | 0 | 45 | 0 |
| 150% of cutoff | 45 | 15 | 0 | 15 | 0 | 14 | 1 | 44 | 1 |
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| Drug Con. | No. tested | Site 1 | | Site 2 | | Site 3 | | Total | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| MTD | | + | - | + | - | + | - | + | - |
| Negative | 45 | 0 | 15 | 0 | 15 | 0 | 15 | 0 | 45 |
| 50% of cutoff | 45 | 0 | 15 | 0 | 15 | 0 | 15 | 0 | 45 |
| 75% of cutoff | 45 | 0 | 15 | 0 | 15 | 0 | 15 | 0 | 45 |
| 125% of cutoff | 45 | 15 | 0 | 15 | 0 | 15 | 0 | 45 | 0 |
| 150% of cutoff | 45 | 15 | 0 | 15 | 0 | 15 | 0 | 45 | 0 |
| Drug Con. | No. tested | Site 1 | | Site 2 | | Site 3 | | Total | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| BAR | | + | - | + | - | + | - | + | - |
| Negative | 45 | 0 | 15 | 0 | 15 | 0 | 15 | 0 | 45 |
| 50% of cutoff | 45 | 0 | 15 | 0 | 15 | 0 | 15 | 0 | 45 |
| 75% of cutoff | 45 | 0 | 15 | 0 | 15 | 0 | 15 | 0 | 45 |
| 125% of cutoff | 45 | 15 | 0 | 15 | 0 | 15 | 0 | 45 | 0 |
| 150% of cutoff | 45 | 15 | 0 | 15 | 0 | 15 | 0 | 45 | 0 |
| Drug Con. | No. tested | Site 1 | | Site 2 | | Site 3 | | Total | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| COC | | + | - | + | - | + | - | + | - |
| Negative | 45 | 0 | 15 | 0 | 15 | 0 | 15 | 0 | 45 |
| 50% of cutoff | 45 | 0 | 15 | 0 | 15 | 0 | 15 | 0 | 45 |
| 75% of cutoff | 45 | 0 | 15 | 0 | 15 | 0 | 15 | 0 | 45 |
| 125% of cutoff | 45 | 15 | 0 | 15 | 0 | 15 | 0 | 45 | 0 |
| 150% of cutoff | 45 | 15 | 0 | 15 | 0 | 15 | 0 | 45 | 0 |
| Drug Con. | No. tested | Site 1 | | Site 2 | | Site 3 | | Total | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| MET | | + | - | + | - | + | - | + | - |
| Negative | 45 | 0 | 15 | 0 | 15 | 0 | 15 | 0 | 45 |
| 50% of cutoff | 45 | 0 | 15 | 0 | 15 | 0 | 15 | 0 | 45 |
| 75% of cutoff | 45 | 0 | 15 | 0 | 15 | 0 | 15 | 0 | 45 |
| 125% of cutoff | 45 | 15 | 0 | 15 | 0 | 15 | 0 | 45 | 0 |
| 150% of cutoff | 45 | 15 | 0 | 15 | 0 | 15 | 0 | 45 | 0 |
| Drug Con. | No. tested | Site 1 | | Site 2 | | Site 3 | | Total | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| AMP | | + | - | + | - | + | - | + | - |
| Negative | 45 | 0 | 15 | 0 | 15 | 0 | 15 | 0 | 45 |
| 50% of cutoff | 45 | 0 | 15 | 0 | 15 | 0 | 15 | 0 | 45 |
| 75% of cutoff | 45 | 0 | 15 | 0 | 15 | 0 | 15 | 0 | 45 |
| 125% of cutoff | 45 | 15 | 0 | 15 | 0 | 15 | 0 | 45 | 0 |
| 150% of cutoff | 45 | 15 | 0 | 15 | 0 | 15 | 0 | 45 | 0 |
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| Drug Con. | No. tested | Site 1 | | Site 2 | | Site 3 | | Total | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| TCA | | + | - | + | - | + | - | + | - |
| Negative | 45 | 0 | 15 | 0 | 15 | 0 | 15 | 0 | 45 |
| 50% of cutoff | 45 | 0 | 15 | 0 | 15 | 0 | 15 | 0 | 45 |
| 75% of cutoff | 45 | 0 | 15 | 0 | 15 | 0 | 15 | 0 | 45 |
| 125% of cutoff | 45 | 15 | 0 | 15 | 0 | 15 | 0 | 45 | 0 |
| 150% of cutoff | 45 | 15 | 0 | 15 | 0 | 15 | 0 | 45 | 0 |
| Drug Con. | No. tested | Site 1 | | Site 2 | | Site 3 | | Total | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| BZO | | + | - | + | - | + | - | + | - |
| Negative | 45 | 0 | 15 | 0 | 15 | 0 | 15 | 0 | 45 |
| 50% of cutoff | 45 | 0 | 15 | 0 | 15 | 0 | 15 | 0 | 45 |
| 75% of cutoff | 45 | 0 | 15 | 0 | 15 | 0 | 15 | 0 | 45 |
| 125% of cutoff | 45 | 15 | 0 | 15 | 0 | 15 | 0 | 45 | 0 |
| 150% of cutoff | 45 | 15 | 0 | 15 | 0 | 15 | 0 | 45 | 0 |
| Drug Con. | No. tested | Site 1 | | Site 2 | | Site 3 | | Total | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| THC | | + | - | + | - | + | - | + | - |
| Negative | 45 | 0 | 15 | 0 | 15 | 0 | 15 | 0 | 45 |
| 50% of cutoff | 45 | 0 | 15 | 0 | 15 | 0 | 13 | 0 | 43 |
| 75% of cutoff | 45 | 0 | 15 | 0 | 15 | 0 | 15 | 0 | 45 |
| 125% of cutoff | 45 | 15 | 0 | 15 | 0 | 15 | 0 | 45 | 0 |
| 150% of cutoff | 45 | 15 | 0 | 15 | 0 | 14 | 0 | 44 | 0 |
| Drug Con. | No. tested | Site 1 | | Site 2 | | Site 3 | | Total | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| BUP | | + | - | + | - | + | - | + | - |
| Negative | 45 | 0 | 15 | 0 | 15 | 0 | 15 | 0 | 45 |
| 50% of cutoff | 45 | 0 | 15 | 0 | 15 | 0 | 15 | 0 | 45 |
| 75% of cutoff | 45 | 0 | 15 | 0 | 15 | 0 | 15 | 0 | 45 |
| 125% of cutoff | 45 | 15 | 0 | 15 | 0 | 15 | 0 | 45 | 0 |
| 150% of cutoff | 45 | 15 | 0 | 15 | 0 | 15 | 0 | 45 | 0 |
| Drug Con. | No. tested | Site 1 | | Site 2 | | Site 3 | | Total | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| EDDP | | + | - | + | - | + | - | + | - |
| Negative | 45 | 0 | 15 | 0 | 15 | 0 | 15 | 0 | 45 |
| 50% of cutoff | 45 | 0 | 15 | 0 | 15 | 0 | 15 | 0 | 45 |
| 75% of cutoff | 45 | 0 | 15 | 0 | 15 | 0 | 15 | 0 | 45 |
| 125% of cutoff | 45 | 15 | 0 | 15 | 0 | 15 | 0 | 45 | 0 |
| 150% of cutoff | 45 | 15 | 0 | 15 | 0 | 15 | 0 | 45 | 0 |
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| Drug Con. | No. tested | Site 1 | | Site 2 | | Site 3 | | Total | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| MDMA | | + | - | + | - | + | - | + | - |
| Negative | 45 | 0 | 15 | 0 | 15 | 0 | 15 | 0 | 45 |
| 50% of cutoff | 45 | 0 | 15 | 0 | 15 | 0 | 15 | 0 | 45 |
| 75% of cutoff | 45 | 0 | 15 | 0 | 15 | 0 | 15 | 0 | 45 |
| 125% of cutoff | 45 | 15 | 0 | 15 | 0 | 15 | 0 | 45 | 0 |
| 150% of cutoff | 45 | 15 | 0 | 15 | 0 | 15 | 0 | 45 | 0 |
| Drug Con. | No. tested | Site 1 | | Site 2 | | Site 3 | | Total | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| MOR 300 | | + | - | + | - | + | - | + | - |
| Negative | 45 | 0 | 15 | 0 | 15 | 0 | 15 | 0 | 45 |
| 50% of cutoff | 45 | 0 | 15 | 0 | 15 | 0 | 15 | 0 | 45 |
| 75% of cutoff | 45 | 0 | 15 | 0 | 15 | 0 | 15 | 0 | 45 |
| 125% of cutoff | 45 | 15 | 0 | 15 | 0 | 15 | 0 | 45 | 0 |
| 150% of cutoff | 45 | 15 | 0 | 15 | 0 | 15 | 0 | 45 | 0 |
b. Linearity/assay reportable range:
Not applicable. The assay is intended for qualitative use.
c. Traceability, Stability, Expected values (controls, calibrators, or methods): This device has internal process controls. A red line appearing in the control region confirms sufficient sample volume and adequate membrane wicking. Users are informed not to interpret the test if no line forms in the control region.
Control standards are not supplied with this device; however it is good laboratory practice to confirm the test procedure and to verify proper test performance. Users should follow all applicable guidelines for testing QC materials.
d. Detection limit:
Analytical performance of the device around the cutoff is described in Section 1.M.f below.
e. Analytical specificity:
The specificity of the new Bionexia™ DOA Screen tests (MDMA, EDDP, BUP, and MOR 300) was evaluated by adding various drugs, drug metabolites, and other structurally similar compounds that are likely to be present in drug-free normal human urine. To evaluate the positive cross-reactivity concentration of the substance, tested substances were added into commercial negative normal urine control to verify the lowest concentrations which indicate a positive result. The following compounds were tested for cross-reactivity in the drug strip and found to be positive if the levels were greater than the following listed concentrations (in ng/ml).
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| MDMA related compounds | Concentration (ng/ml) |
| --- | --- |
| 3,4-Methylenedioxy-methamphetamine (MDMA) | 500 |
| 3,4-Methylenedioxyamphetamine (MDA) | 1,000 |
| 3,4-Methylenedioxyethylamphetamine (MDEA) | 300 |
| d-Amphetamine | >100,000 |
| d-Methamphetamine | >100,000 |
| Paramethoxyamphetamine (PMA) | 5,000 |
| EDDP related compounds | Concentration (ng/ml) |
| --- | --- |
| EDDP | 100 |
| | >1,000,0 |
| Doxylamine | 00 |
| Methadone | >10,000 |
| Methadol | >10,000 |
| BUP related compounds | Concentration (ng/ml) |
| --- | --- |
| Buprenorphine 3 – D – Glucuronide | 10 |
| Buprenorphine | 15 |
| Codeine | 25,000 |
| Morphine | 50,000 |
| Nalorphine | 2,000 |
| Norbuprenorphine | >1,000 |
| Norbuprenorphine 3 – D – Glucuronide | >1,000 |
| Morphine 300 related compounds | Concentration (ng/ml) |
| --- | --- |
| Morphine | 300 |
| Codeine | 300 |
| Diacetyl Morphin (Heroin) | 300 |
| Ethylmorphine | 300 |
| Hydromorphone | 1,500 |
| Hydrocodone | 1,500 |
| Merperidine | >100,000 |
| 6-Monoacetylmorphine | 300 |
| Morphine-3-glucuronid | 6,000 |
| Oxycodone | >20,000 |
| Oxymorphone | >20,000 |
| Rifampicine | 25,000 |
| Thebaine | 2,500 |
| Promethazine | >250,00 |
| Trimipramine | >20,000 |
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# Non Cross-Reacting Compounds
Potential interferences to the Bionexia drugs of abuse tests were evaluated by adding various drugs, drug metabolites, and other compounds that are commonly found in the urine which may interfere with test result. All compounds were prepared in drug free pooled human urine or GC/MS confirmed urine controls. The following compounds were found not to cross-react when tested at concentrations at 100 µg/ml.
| Acetaminophen | Furosemide |
| --- | --- |
| Acetone | Guaiacol Glyceryl Ether |
| Albumin | Hemoglobin |
| Amitriptyline | Ibuprofen |
| Ampicillin | Imipramine (Except TCA) |
| Aspartame | (+/-)-Isoproterenol |
| Aspirin | Lidocaine |
| Atropine | N-Methyl-Ephedrine |
| Benzocaine | (+)-Naproxen |
| Bilirubin | Oxalic Acid |
| Caffeine | Penicillin-G |
| Chloroquine | Pheniramine |
| Chlorpheniramine | Phenothiazine |
| Creatine | L-Phenylephrine |
| Dextrorphan tartrate | β-Phenylethylamine |
| 4-Dimethylaminoantipyrine | Procaine |
| Dopamine | Quinidine |
| (+/-)-Ephedrine | Ranitidine |
| (-)-Ephedrine | Sulindac |
| Erythromycin | Tyramine |
| Ethanol | Vitamin C |
To evaluate the effect of pH value on the test results, GC/MS confirmed urine controls at zero concentration, 75%, 125%, and 3X of cutoff were used. Each control level was adjusted by either 7N NaOH or 7N HCl to the pH level at 3, 5, 6.5, 7.5 and 8.5. For evaluate specific gravity effect, negative urine samples containing low to high specific gravity levels were collected and pooled to prepared the following levels: 1.00, 1.01, 1.02 and 1.03. The target drug was added to the pooled urines at the following drug levels: negative, -25%, +25% and 3X of cutoff. The Bionexia™ DOA Screen Panels performances at cutoff point are not affected by pH range of urine specimens of 3.0 to 8.5 or a specific gravity range of 1.005 to 1.03.
f. Assay cut-off:
The cutoff of Bionexia™ DOA Screen Panels (MDMA, EDDP, BUP, and MOR 300) were determined by testing GC/MS confirmed controls to the concentrations at negative, -50% cutoff,
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-25% cutoff, cutoff, +25% cutoff, +50% cutoff and 3 times the cutoff. Both the cassette and dipstick versions of the test were evaluated. The results are summarized below:
| Drug Con. | n | MDMA | | EDDP | | BUP | | MOR 300 | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | - | + | - | + | - | + | - | + |
| - | 50 | 50 | | 25 | | 50 | | 50 | |
| -50 | 50 | 50 | | 25 | | 50 | | 50 | |
| -25 | 50 | 50 | | 25 | | 50 | | 50 | |
| C/O | 50 | 25 | 25 | 23 | 27 | 22 | 28 | 18 | 32 |
| +25 | 50 | | 50 | | 50 | | 50 | | 50 |
| +50 | 50 | | 50 | | 50 | | 50 | | 50 |
| 3X | 50 | | 50 | | 50 | | 50 | | 50 |
# 2. Comparison studies:
a. Method comparison with predicate device:
Performance of the Bionexia™ DOA Screen panels was established by comparing the results of unaltered urine samples against GC/MS (LC/MS for BUP). Both the cassette and dipstick versions of the test were evaluated.
MDMA: In this study, one hundred twenty six (126) unaltered negative and positive urine samples (0 to $21616\mathrm{ng / ml}$ ) were tested by cassette and dipstick device and were compared with GC/MS and compared to GC/MS. The results are summarized below:
Positive Agreement: $100\%$ and Negative Agreement: $100\%$
| Bionexia™ | No Drug present | Negative (Less than 50% 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) | % Agreement |
| --- | --- | --- | --- | --- | --- | --- |
| + | 0 | 0 | 0 | 12 | 63 | 100 % |
| - | 35 | 7 | 9 | 0 | 0 | 100 % |
| Total | 35 | 7 | 9 | 12 | 63 | 100 % |
EDDP: In this study, one hundred eleven (111) negative and positive unaltered urine samples (0 to $56700\mathrm{ng / ml}$ ) were tested by cassette and dipstick device and compared to GC/MS. The concentration of the discrepant specimen was close to the cutoff value at $104.0\mathrm{ng / ml}$ . The results are summarized below:
{10}
Positive Agreement: $98.6\%$ and Negative Agreement: $100\%$
| Bionexia™ | No Drug present | Negative (Less than 50% 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) | % Agreement |
| --- | --- | --- | --- | --- | --- | --- |
| + | 0 | 0 | 0 | 3 | 65 | 98.6% |
| - | 38 | 0 | 4 | 1 | 0 | 100 % |
| Total | 38 | 0 | 4 | 4 | 65 | 99.1 % |
BUP: In this study, one hundred seventeen (117) negative and positive unaltered urine samples (0 to $1160\mathrm{ng / ml}$ ) were tested by cassette and dipstick device and compared to LC/MS. The results are summarized below:
Positive Agreement: $100\%$ and Negative Agreement: $100\%$
| Bionexia™ | No Drug present | Negative (Less than 50% the cutoff concentration by LC/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) | % Agreement |
| --- | --- | --- | --- | --- | --- | --- |
| + | 0 | 0 | 0 | 4 | 72 | 100 % |
| - | 35 | 1 | 5 | 0 | 0 | 100% |
| Total | 35 | 1 | 5 | 4 | 72 | 100 % |
MOR 300: In this study, one hundred eleven (111) negative and positive unaltered urine samples (0 to $5182\mathrm{ng / ml}$ ) were tested by cassette and dipstick device and were compared to GC/MS. The concentrations of both discrepant specimens close to the cutoff value at 308 and $309\mathrm{ng / ml}$ . The results are summarized below:
Positive Agreement: $96.8\%$ and Negative Agreement: $97.9\%$
| Bionexia™ | No Drug present | Negative (Less than 50% 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) | % Agreement |
| --- | --- | --- | --- | --- | --- | --- |
| + | 0 | 0 | 1 | 11 | 50 | 96.8% |
| - | 35 | 0 | 12 | 2 | 0 | 97.9% |
| Total | 35 | 0 | 13 | 13 | 50 | 97.3 % |
{11}
The POC Method Comparison Study was performed at one POC site with 3 operators by evaluating negative and positive clinical urine specimens (including unaltered urine specimens and near cutoff level urine specimens that were diluted by a urine negative control). Approximately 20 to 26 urine samples were tested for each drug/analyte. More than half of tested samples were in between $+/-50\%$ of the cutoffs. The results are summarized in the following table.
| Drug / Cutoff (ng/ml) | Candidate Device Results | No Drug present | Negative (Less than 50% the cutoff concentration by GC/MS or LC/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) | % Agreements |
| --- | --- | --- | --- | --- | --- | --- | --- |
| AMP | + | 0 | 0 | 1 | 7 | 5 | 92.3 % |
| 1000 | - | 0 | 5 | 6 | 1 | 0 | 91.7 % |
| BAR | + | 0 | 0 | 0 | 6 | 5 | 100 % |
| 300 | - | 0 | 5 | 8 | 0 | 0 | 100 % |
| BZO | + | 0 | 0 | 0 | 9 | 5 | 100 % |
| 300 | - | 0 | 3 | 7 | 0 | 0 | 100 % |
| BUP | + | 0 | 0 | 0 | 9 | 5 | 100 % |
| 10 | - | 0 | 4 | 6 | 0 | 0 | 100 % |
| COC | + | 0 | 0 | 0 | 6 | 8 | 93.3 % |
| 300 | - | 0 | 4 | 6 | 1 | 0 | 100 % |
| EDDP | + | 0 | 0 | 0 | 6 | 6 | 100 % |
| 100 | - | 0 | 4 | 8 | 0 | 0 | 100 % |
| THC | + | 0 | 0 | 1 | 9 | 5 | 100 % |
| 50 | - | 0 | 3 | 6 | 0 | 0 | 90 % |
| MET | + | 0 | 0 | 0 | 7 | 5 | 92.3 % |
| 1000 | - | 0 | 5 | 8 | 1 | 0 | 100 % |
| MDMA | + | 0 | 0 | 0 | 6 | 5 | 91.7 % |
| 500 | - | 0 | 5 | 7 | 1 | 0 | 100 % |
| MOR | + | 0 | 0 | 0 | 6 | 5 | 91.7 % |
| 300 | - | 0 | 4 | 7 | 1 | 0 | 100 % |
| MOR | + | 0 | 0 | 0 | 9 | 5 | 100 % |
| 2000 | - | 0 | 5 | 7 | 0 | 0 | 100 % |
| MTD | + | 0 | 0 | 0 | 8 | 5 | 100 % |
| 300 | - | 0 | 5 | 7 | 0 | 0 | 100 % |
| PCP | + | 0 | 0 | 1 | 8 | 8 | 100 % |
| 25 | - | 0 | 0 | 7 | 0 | 0 | 87.5 % |
| NOR | + | 0 | 0 | 1 | 5 | 6 | 100 % |
| 1000 | - | 0 | 0 | 8 | 0 | 0 | 88.9 % |
{12}
b. Matrix comparison:
Not applicable; these devices are for use with urine only.
3. Clinical studies:
a. Clinical Sensitivity:
Not applicable.
b. Clinical specificity:
Not applicable.
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. Proposed Labeling:
The labeling is sufficient and it satisfies the requirements of 21 CFR Part 809.10.
O. Conclusion:
The submitted information in this premarket notification is complete and supports a substantial equivalence decision.
13
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Learn the FDA Browser
Two short videos show you everything — or skip straight to the written tutorial if you'd rather read. You can reopen this any time from the Tutorial button in the top bar.
Part 1 — Search, results, and everyday workflows 16 min
Part 2 — Embeddings: the galaxy map 3 min
1. Search: exact and fuzzy
Type a phrase like "coronary artery calcification" into the search box. You get two kinds of results. Exact results match the literal phrase — prefix searches work ("coronary artery calcificati") but suffix searches do not. Fuzzy results match on the meaning and intent of your phrase rather than the exact words, and are sorted by relevance score. Hover over the Exact or Fuzzy badge on any row to see exactly why it matched.
Use the checkboxes above the results to narrow: SaMD keeps only software-only devices, AI / ML keeps only devices with AI.
Exact vs. fuzzy search: what's the difference?
Exact matches on the literal phrase (prefix search works, suffix does not). Fuzzy matches on the meaning and intent of the phrase rather than the exact words. Hover over the badge on any row to see why it matched.
You search "coronary artery calcification" and want only software devices with AI. What two filters do you apply?
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.