The evidence® Opiates test has been designed for use only on the evidence® analyser for qualitative detection of opiates in urine, using a cutoff concentration of 300ng/ml. Qualitative results obtained can be utilised in the diagnosis and treatment of opiate use or overdose. This assay provides only a preliminary analytical test result which should be confirmed by a more specific method, such as GC/MS. The Opiates Assay must only be used by suitably qualified laboratory personnel under appropriate laboratory conditions. The evidence® Drugs of Abuse Calibrators. The evidence® Drugs of Abuse Calibrators are liquid Calibrators containing benzoylecgonine, amphetamine, methamphetamine, methadone and morphine sulphate pentahydrate. There are 9 levels of calibrator. They have been developed for use in calibration of the evidence® system. The evidence® Drugs of Abuse Calibrators must only be used by suitably qualified laboratory personnel under appropriate laboratory conditions.
Device Story
The evidence® Opiates Assay is an in vitro diagnostic test for qualitative detection of opiates in urine samples. It is designed exclusively for use on the evidence® analyser. The system utilizes liquid calibrators containing benzoylecgonine, amphetamine, methamphetamine, methadone, and morphine sulphate pentahydrate to calibrate the analyzer. The device is intended for use by qualified laboratory personnel in a clinical laboratory setting. The assay provides preliminary analytical results to assist clinicians in diagnosing and treating opiate use or overdose. Because results are preliminary, they must be confirmed by a more specific method, such as Gas Chromatography/Mass Spectrometry (GC/MS).
Clinical Evidence
No clinical studies performed. Performance established via bench testing: method comparison with 1336 urine samples against predicate EIA and GC/MS. Precision evaluated over 20 days (n=80) per NCCLS EP5-T2. Analytical sensitivity (limit of detection) determined as 20.3 normalized units. Specificity/cross-reactivity tested against various compounds; no interference observed for common substances per NCCLS EP7-A.
Technological Characteristics
In vitro diagnostic assay for use on the evidence® analyser. Includes 9 levels of liquid calibrators containing benzoylecgonine, amphetamine, methamphetamine, methadone, and morphine sulphate pentahydrate. Qualitative detection method with a 300ng/ml cutoff.
Indications for Use
Indicated for qualitative detection of opiates in urine for diagnosis and treatment of opiate use or overdose. For use by qualified laboratory personnel only. Not evaluated for point-of-care settings. Rx only.
Regulatory Classification
Identification
An opiate test system is a device intended to measure any of the addictive narcotic pain-relieving opiate drugs in blood, serum, urine, gastric contents, and saliva. An opiate is any natural or synthetic drug that has morphine-like pharmocological actions. The opiates include drugs such as morphine, morphine glucoronide, heroin, codeine, nalorphine, and meperedine. Measurements obtained by this device are used in the diagnosis and treatment of opiate use or overdose and in monitoring the levels of opiate administration to ensure appropriate therapy.
Special Controls
*Classification.* Class II (special controls). An opiate 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).
Submission Summary (Full Text)
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# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY DEVICE ONLY TEMPLATE
A. 510(k) Number:
K041144
B. Purpose of the Submission: New 510(k)
C. Analyte:
Opiates
D. Type of Test:
Qualitative immunoassay and associated calibrators
E. Applicant:
Randox Laboratories, Ltd.
F. Proprietary and Established Names:
evidence Opiates Assay
evidence Drugs of Abuse Calibrators
G. Regulatory Information:
1. Regulation section:
862.3650, Enzyme Immunoassay, Opiates
862.3200, Calibrator, Drug Mixture
2. Classification:
Both products are class II
3. Product Code:
DJG and DKB, respectively
4. Panel:
Toxicology (91)
H. Intended Use:
1. Intended use(s):
Refer to Indications for use.
2. Indication(s) for use:
The evidence opiates test has been designed for use only on the evidence analyser for qualitative detection of opiates in urine, using a cutoff concentration of 300 ng/mL. Qualitative results obtained can be utilized in the diagnosis and treatment of opiates use or overdose.
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The evidence Drugs of Abuse Calibrators (Catalog No.EV3550) are liquid Calibrators containing morphine sulphate pentahydrate. There are nine levels of calibrator. They have been developed for use in calibration of the evidence test system.
Both products must only be used by suitably qualified laboratory personnel under appropriate laboratory conditions.
3. Special condition for use statement(s):
The assay provides only a preliminary analytical test result. A more specific alternative chemical method must be used to obtain a confirmed analytical result. Gas chromatography/Mass spectrometry is the preferred confirmatory method. Other chemical confirmation methods are available. Clinical consideration and professional judgment should be applied to any drug of abuse test result, particularly when preliminary positive results are used.
The assay is for Rx use.
The assay was not evaluated in point-of-care settings.
4. Special instrument Requirements:
The assay is for use only on the automated evidence Analyser, cleared under k030360. The originally cleared version of this calibrator was also included in k030360.
I. Device Description:
The evidence analyser is a fully automated Biochip Array System. It performs simultaneous detection of multiple analytes from a single patient sample. The core technology is the Randox Biochip, a solid-state device containing an array of discrete test regions containing immobilized antibodies specific to different drugs of abuse compound classes.
Calibrator EV3550 is a phosphate buffer based material with opiates added. It is a 9 level calibrator set ranging in concentration from 0 to approximately 3000 ng/mL morphine. Calibrations are run daily.
J. Substantial Equivalence Information:
1. Predicate device name(s):
CEDIA DAU Opiates Assay, Microgenics
2. Predicate K number(s):
k954227
3. Comparison with predicate:
Both devices are for the qualitative determination of the same analyte(s) in the same matrix, and utilize the same cutoff concentration. Both are analyzed on
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instruments. The candidate device utilized chemiluminescent technology utilizing biochip array technology whereas the predicate is analyzed on a spectrophotometric analyzer.
## K. Standard/Guidance Document Referenced (if applicable):
The sponsor referenced the NCCLS EP5-T2 Precision document and the NCCLS Interference document, EP7-A.
## L. Test Principle:
A competitive chemiluminescent immunoassay is employed for the assay with the drug in the specimen and drug labelled with horseradish peroxidase (HRP) being in direct competition for the antibody binding sites. Increased levels of drug in a specimen will lead to reduced binding of drug labelled with HRP and thus a reduction in chemiluminescence being emitted. The light signal generated from each of the test regions on the biochip is detected using digital imaging technology and compared to that from a stored calibration curve. A normalized value is calculated as a percentage of the signal intensity emitted from the cut-off point on the calibration curve relative to the signal intensity emitted from the sample test region. Samples producing a response value greater than, or equal to, the response value of the calibrator cut-off are considered positive (normalized result ≥100). Samples producing a response value less than the response value of the calibrator cut-off are considered negative (normalized result <100).
Description of the test antibody: polyclonal sheep antibody against morphine.
## M. Performance Characteristics (if/when applicable):
### 1. Analytical performance:
#### a. Precision/Reproducibility:
Total imprecision data was determined at two different locations by assaying four calibrators for 20 days, 2 runs per day in replicates of 2 (n=80) based on a cut-off of 300 ng/mL according to the NCCLS Laboratory Standard EP5-T2.
Specimen description: calibrator
Number of days: twenty
Replicates per day: Duplicates run twice a day
Lots of product used: one
Operator: manufacturer staff and hospital staff member
Testing Facility: manufacturers facility and a hospital
Results of the study are presented below:
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Total Imprecision
| Concentration (ng/mL) | 195 | 262 | 328 | 1286 |
| --- | --- | --- | --- | --- |
| Site 1:Mean | 79 | 90 | 97 | 212 |
| Site 1: SD | 9.8 | 8.5 | 9.8 | 24.8 |
| Site 1: CV (%) | 12.4 | 9.4 | 10.1 | 11.7 |
| Site 2: Mean | 87 | 91 | 100 | 197 |
| Site 2: SD | 7.1 | 6.4 | 7.6 | 16.4 |
| Site 2: CV (%) | 8.2 | 7.1 | 7.6 | 8.4 |
Results are expressed as normalized values.
b. Linearity/assay reportable range:
Not applicable. The assay is for qualitative use. It does, however, include a series of 9 calibrators. A representative calibration curve appears in the Operator's Manual.
c. Traceability (controls, calibrators, or method):
Nine levels of Calibrators are provided separately. Representative concentrations of morphine sulphate penta-hydrate in the calibrators are presented in the package insert as 0, 96.8, 195.4, 262.5, 328.2, 1286.3, 1718.6, 2078.6, and 3217.5 ng/mL.
The sponsor recommends daily calibrations.
The sponsor indicates that a Master Lot of calibrators has been quantified for the component drugs of abuse in all 9 levels by assaying 4 replicates for each component on GC/MS. The values assigned to each lot are the mean of those measurements. The laboratory performing the analysis is certified to the College of American Pathologists. The Master Lot is stored at −80 °C and is used to assign concentrations to subsequent calibrator lots.
A minimum of 20 replicates from each subsequent lot are assayed and quantified by direct comparison to the mean values of a minimum of 20 replicate standard curves from the Master Lot of calibrators. Results are assigned by applying mean readings to these standard curves.
Table 13 of the original information received from the sponsor displays a calibration curve. It appears adequate, i.e., the curve is not flat.
Stability:
Stability studies are summarized for the calibrators. Aliquots of the calibrators were stored at −80 °C for reference purposes (the baseline) while the remainder were stored at 2-8 °C. At 26, 52, and 104 weeks
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the calibrator values are compared to the values of calibrators stored at -80 °C.
Accelerated studies are conducted in the same manner, but involve comparing samples stored at 37 °C to those stored at 2-8 °C.
For both the real time and accelerated stability study, the following acceptance criteria for the studies are used:
The Relative Light Units, curve shape (B/Bo, where B is the rlu for an individual calibrator level and Bo is the rlu for the level 1 calibrator) and normalized values are examined. A stability of 1 year (at 2-8 °C) is assigned when the % difference in either %B/Bo or normalized values between the -80 °C and the 2-8 °C is less than 10%
Open vial stability was also assessed for 14 days, using an acceptance criteria of 10% when compared to the baseline.
d. Detection limit:
The sensitivity of the assay was established by analyzing 20 repeat determinations of a GC/MS verified negative urine sample. The mean normalized value was calculated and 2 standard deviations added. The resultant normalized value of 20.3 represents the lowest concentration of morphine which can be distinguished from the zero calibrator with a confidence level of 95%
e. Analytical specificity:
Specificity and cross-reactivity of the assay was assessed by comparing the standard curves from selected compounds to the standard curve of morphine. Each compound was diluted in GC/MS verified negative urine to the concentrations specified. Compounds listed were tested in duplicate to a maximum of 0.5mg/mL. Concentrations of the cross-reactants, which produce a response equal to that of the target compound at the cut-off, were calculated. Percentage cross reactivities of opiates and opiates metabolites, as determined by the assay, are shown in Table 1. Compounds that demonstrate less than a 10% difference in their normalized response as compared to the control sample (no drug) are shown in Table 2.
No interference was observed for the assay from the compounds shown in Table 3 when added to urine. This study was run in accordance with methods outlined in the NCCLS interference document, EP7-A. Specific gravity and pH ranges were assessed using a dose-response series. Sodium chloride and hydrochloric acid
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/ sodium hydroxide were used to vary specific gravity and pH ranges respectively. Result differences of $< 10\%$ between test and control were deemed acceptable.
Table 1. Cross reactivity of opiates compounds:
| Compound | % Cross Reactivity |
| --- | --- |
| Morphine | 100 |
| Codeine | 115 |
| Morphine-3-glucoronide | 67 |
| Hydropmorphone | 27 |
| Hydropcodone | 17 |
| Dihydrocodeine | 13 |
| 6-Monoacetylmorphine | 1500 |
Table 2. Concentrations of compounds showing no interference:
| Compound | Concentration (μg/mL) |
| --- | --- |
| Oxazepam | 500 |
| Lorazepam | 500 |
| Temazepam | 500 |
| Nordiazepam | 500 |
| Nitrazepam | 500 |
| Flunitrazepam | 500 |
| 11-nor-9-THC-COOH | 10 |
| Barbital | 500 |
| Benzoylecgonine | 100 |
| Butalbital | 100 |
| d-Amphetamine | 300 |
| MDA | 500 |
| MDEA | 500 |
| MDMA | 500 |
| Methamphetamine | 500 |
| Pentobarbital | 500 |
| Phencyclidine | 500 |
| Phenobarbital | 500 |
| Secobarbital | 100 |
Table 3. Interfering compounds eliciting no interference:
| Compound | Concentration tested (mg/dL) |
| --- | --- |
| Acetaminophen | 1 mg/mL |
| Acetone | 1000 |
| Acetylsalicylic acid | 1 mg/mL |
| Ascorbic acid | 1500 |
| Caffeine | 1 mg/mL |
| Creatinine | 500 |
| Ethanol | 1000 |
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| Compound | Concentration tested (mg/dL) |
| --- | --- |
| Galactose | 10 |
| globulin | 500 |
| Glucose | 3000 |
| Haemoglobin | 300 |
| Human serum albumin | 500 |
| Ibuprofen | 1 |
| Oxalic acid | 100 |
| Ranitidine | 180 μg/mL |
| Riboflavin | 7.5 |
| Sodium chloride | 6000 |
| Urea | 3500 |
| pH | Acceptable range 3.0 – 11.0 |
| Specific gravity | Acceptable range 1.002 – 1.04 g/mL |
f. Assay cut-off:
The identified cutoff concentration of the assay is standard for the industry, although $2000\mathrm{ng / mL}$ is more commonly found in the U.S.
Characterization of how the device performs analytically around the claimed cutoff concentration was performed: Ten GC/MS verified urine-based commercially available controls at $25\%$ below the cutoff, at the cut-off $(200\mathrm{ng / mL})$ and $25\%$ above the cut-off were analyzed. A $100\%$ agreement with GC/MS was recorded for all control replicates tested.
Normalised Results Characterizing Performance Around Cut-off
| | -25% of C/O | C/O Concentration | +25% C/O |
| --- | --- | --- | --- |
| Mean | 85 | 93 | 108 |
| SD | 2.4 | 3.3 | 3.0 |
| %CV | 2.8 | 3.6 | 2.8 |
2. Comparison studies:
a. Method comparison with predicate device:
1336 urine samples were selected because they had been initially assayed with the predicate device and by GC/MS for the presence of morphine, codeine, and hydromorphone. The samples were then analyzed by the Randox test system. GC/MS was performed on all positive samples, borderline samples or where discrepancies were observed. Total GC/MS concentrations were determined by adding together in an unweighted fashion morphine, codeine, and hydromorphone. 97 of the samples, were analyzed for and found to contain no 6-mam.
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# Comparison with competitor EIA
| | Comparative EIA
300 ng/mL cut-off | | |
| --- | --- | --- | --- |
| | | + | - |
| Candidate Device | + | 226 | 3* |
| | - | 97** | 1010 |
*All samples tested by GC/MS and found to contain Opiates >150 ng/mL
**Ninety six samples were found to contain opiates below the 300 ng/mL cutoff by GC/MS
# Comparison to GC/MS
| | GC/MS
300 ng/mL cut-off | | |
| --- | --- | --- | --- |
| | | + | - |
| Candidate Device | + | 178 | 34* |
| | - | 1** | 109 |
* Twenty nine samples found to contain opiates by GC/MS
** Sample contained 313 ng/mL hydromorphone
# Comparison of evidence Results to Stratified GC/MS Results
| New device | Negative by GC/MS or Predicate | Near Cutoff Negative (between -25% and cutoff) | Near Cutoff Positive (between cutoff and +25%) | GC/MS Positive (greater than +25%) |
| --- | --- | --- | --- | --- |
| Positive | 21 | 13 | 14 | 164 |
| Negative | 94 | 15 | 1 | 0 |
The study included an adequate number of samples that contained drugs near to the cutoff concentration of the assay, i.e., at least 10% of the study samples are evenly distributed between plus and minus 25% of the claimed cutoff concentration.
## 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.
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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. Conclusion:
The submitted information in this premarket notification is complete and supports a substantial equivalence decision.
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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.