The RX Daytona is an automated clinical chemistry analyzer complete with dedicated analyzer software. Software functions of the analyzer include the facility to interact with a host computer for direct download of test method selection details for individual samples. A barcode system is used for the rapid identification of patient samples, reagents and QC samples. The analyzer can be used to run tests including glucose in serum samples. Various other assays are adaptable to the analyzer. Glucose measurements may be used in the diagnosis and treatment of carbohydrate metabolism disorders including diabetes mellitus, neonatal hypoglycemia, idiopathic hypoglycemia and pancreatic islet cell carcinoma. An Ion Selective Electrode (ISE) unit is an optional addition, which may be used with the RX Daytona Analyzer for the measurement of the electrolytes sodium, potassium and chloride in serum, plasma or urine. The ISE unit consists of ion selective electrodes, supply and drain pump, preamplifier board and I/O board. Sodium measurements may be used in the diagnosis and treatment of aldosteronism, diabetes insipidus, adrenal hypertension, Addison’s disease, dehydration, inappropriate antidiuretic hormone secretion or other diseases involving electrolyte imbalance. Potassium measurements are used to monitor electrolyte balance in the diagnosis and treatment of diseases characterized by low or high levels of potassium. Chloride measurements are used in the diagnosis and treatment of electrolyte and metabolic disorders such as cystic fibrosis and diabetic acidosis. The RX Daytona analyzer and ISE unit must only be used by suitably qualified personnel, under appropriate laboratory conditions. For in vitro diagnostic use only.
Device Story
RX Daytona is an automated clinical chemistry analyzer for in vitro diagnostic use in laboratory settings by qualified personnel. It processes serum, plasma, or urine samples using photometric assays and an optional Ion Selective Electrode (ISE) unit. The system utilizes barcode identification for samples and reagents; integrates with host computers for test selection. Photometric unit performs enzymatic assays (e.g., glucose); ISE unit measures sodium, potassium, and chloride via ion electrode potential comparison against a reference electrode. The device provides quantitative results to clinicians for diagnosis and monitoring of metabolic and electrolyte disorders. It includes a QC database for result storage, trend analysis, and Westgard rule application.
Clinical Evidence
No clinical data provided; substantial equivalence based on technological characteristics and intended use as an automated clinical chemistry analyzer.
Technological Characteristics
Automated clinical chemistry analyzer; photometric and ion selective electrode (ISE) sensing principles. ISE module includes reference electrode, supply/drain pump, preamplifier, and I/O board. Supports routine and STAT modes. Calibration methods include factor, single/multi-calibrator, linear, point-to-point, log-logit, spline, and exponential. Connectivity via host computer interface; barcode sample identification.
Indications for Use
Indicated for patients requiring clinical chemistry analysis of serum, plasma, or urine to diagnose/monitor carbohydrate metabolism disorders (diabetes, hypoglycemia, carcinoma) and electrolyte imbalances (aldosteronism, diabetes insipidus, adrenal hypertension, Addison’s disease, dehydration, cystic fibrosis, diabetic acidosis).
Regulatory Classification
Identification
A glucose test system is a device intended to measure glucose quantitatively in blood and other body fluids. Glucose measurements are used in the diagnosis and treatment of carbohydrate metabolism disorders including diabetes mellitus, neonatal hypoglycemia, and idiopathic hypoglycemia, and of pancreatic islet cell carcinoma.
Special Controls
*Classification.* Class II (special controls). The device, when it is solely intended for use as a drink to test glucose tolerance, is exempt from the premarket notification procedures in subpart E of part 807 of this chapter subject to the limitations in § 862.9.
Submission Summary (Full Text)
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510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION
DECISION SUMMARY
DEVICE AND INSTRUMENT TEMPLATE
510(k) Number:
k024014
Analyte:
Glucose, Sodium, Potassium, and Chloride
Type of Test:
Quantitative / Enzymatic Photometric, ISE
Applicant:
RANDOX LABORATORIES, LTD.
Proprietary and Established Names:
RANDOX RX DAYTONA
Regulatory Information:
1. Regulation section:
21CFR§-862.2170 Micro chemistry analyzer for clinical use.
21CFR§-862.1345 Glucose test system.
21CFR§-862.1665 Sodium test system.
21CFR§-862.1600 Potassium test system.
21CFR§-862.1170 Chloride test system.
21CFR§-862.1150 Calibrator.
2. Classification:
1, II
3. Product Code:
JJF, CGA, JGS, CEM, CGZ, JIX
4. Panel:
Chemistry (75)
Intended Use:
5. Indication(s) for use:
The RX Daytona is an automated clinical chemistry analyzer complete with dedicated analyzer software. Software functions of the analyzer include the facility to interact with a host computer for direct download of test method selection details for individual samples. A barcode system is used for the rapid identification of patient samples, reagents and QC samples.
The analyzer can be used to run tests including glucose in serum samples. Various other assays are adaptable to the analyzer. Glucose measurements may be used in the diagnosis and treatment of carbohydrate metabolism disorders including diabetes mellitus, neonatal hypoglycemia, idiopathic hypoglycemia and pancreatic islet cell carcinoma.
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An Ion Selective Electrode (ISE) unit is an optional addition, which may be used with the RX Daytona Analyzer for the measurement of the electrolytes sodium, potassium and chloride in serum, plasma or urine. The ISE unit consists of ion selective electrodes, supply and drain pump, preamplifier board and I/O board.
Sodium measurements may be used in the diagnosis and treatment of aldosteronism, diabetes insipidus, adrenal hypertension, Addison’s disease, dehydration, inappropriate antidiuretic hormone secretion or other diseases involving electrolyte imbalance. Potassium measurements are used to monitor electrolyte balance in the diagnosis and treatment of diseases characterized by low or high levels of potassium. Chloride measurements are used in the diagnosis and treatment of electrolyte and metabolic disorders such as cystic fibrosis and diabetic acidosis.
The RX Daytona analyzer and ISE unit must only be used by suitably qualified personnel, under appropriate laboratory conditions.
For in vitro diagnostic use only.
6. Special condition for use statement(s): Not Applicable
7. Special instrument Requirements: RX Daytona Analyzer
## Device Description
The RX Daytona analyzer is an automated clinical chemistry analyzer capable of performing various in vitro photometric assays. The RANDOX GLUCOSE (GOD/PAP) was cleared under K003346 and is the chosen assay to demonstrate performance for the photometric unit. ISE unit measures sodium, potassium and chloride utilizing ion electrode technology.
## Substantial Equivalence Information:
8. Predicate device name(s):
HITACHI 717 CHEMISTRY ANALYZER
RANDOX GLUCOSE (GOD/PAP)
Olympus AU600
9. Predicate K number(s):
K872494
K003346
K961274
3. Comparison with predicate:
Both the Rx Daytona and the predicate Hitachi 717 analyzer are random access photometric and ISE analyzers. The intended uses, assay types, calibration types, calibration system, sample type s and automation technology of the devices are similar. Minor differences not affecting safety and effectiveness are throughput, sample input, reagent system capacity,
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reagent range volume, number of wavelengths. The ISE unit and the predicate AU 600 ISE unit are both optional additions that may be used with the analyzer for the measurement of sodium, potassium and chloride utilizing the same technology. Minor differences not affecting safety and effectiveness are throughput, sample size, and range of measurement.
## Standard/Guidance Document Referenced (if applicable):
None referenced
## Test Principle:
For Glucose the RANDOX GLUCOSE (GOD/PAP) was cleared under K003346, details of this test principle can be found in that file. Ion Selective Electrodes are used to measure Sodium, Potassium and Chloride. The ISE module consists of a reference electrode, and three ion selective electrodes. The potential generated by the Sodium, Potassium and Chloride electrodes is compared to that of the reference electrode and used to calculate the concentration of $\mathrm{Na^{+}}$ , $\mathrm{K^{+}}$ and Cl- ions in the sample.
## Performance Characteristics (if/when applicable):
### 4. Analytical performance:
a. Precision/Reproducibility:
| Intra Assay Precision | | | |
| --- | --- | --- | --- |
| Glucose | Level 1 (mmol/l) | Level 2 (mmol/l) | Level 3 (mmol/l) |
| Mean | 1.695 | 5.77 | 16.795 |
| SD | 0.076 | 0.113 | 0.375 |
| %CV | 4.48 | 1.96 | 2.23 |
| N | 20 | 20 | 20 |
| Inter Assay Precision | | | |
| Glucose | Level 1 (mmol/l) | Level 2 (mmol/l) | Level 3 (mmol/l) |
| Mean | 1.87 | 4.875 | 16.01 |
| SD | 0.066 | 0.286 | 0.588 |
| %CV | 3.51 | 5.87 | 3.67 |
| N | 20 | 20 | 20 |
| Intra Assay Precision | | | |
| Na+ | | Level 2 (mmol/l) | Level 3 (mmol/l) |
| Mean | | 136.9 | 150.75 |
| SD | | 1.021 | 0.786 |
| %CV | | 0.75 | 0.52 |
| N | | 20 | 20 |
| Inter Assay Precision | | | |
| Na+ | | Level 2 (mmol/l) | Level 3 (mmol/l) |
| Mean | | 140 | 154 |
| SD | | 1.792 | 1.386 |
| %CV | | 1.28 | 0.90 |
| N | | 20 | 20 |
| Intra Assay Precision | | | |
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| K+ | | Level 2 (mmol/l) | Level 3 (mmol/l) |
| --- | --- | --- | --- |
| Mean | | 3.958 | 5.7775 |
| SD | | 0.021 | 0.022 |
| %CV | | 0.54 | 0.39 |
| N | | 20 | 20 |
| Inter Assay Precision | | | |
| K+ | | Level 2 (mmol/l) | Level 3 (mmol/l) |
| Mean | | 4.11 | 5.96 |
| SD | | 0.067 | 0.085 |
| %CV | | 1.63 | 1.43 |
| N | | 20 | 20 |
| Intra Assay Precision | | | |
| Cl- | | Level 2 (mmol/l) | Level 3 (mmol/l) |
| Mean | | 100.45 | 114.05 |
| SD | | 0.826 | 0.605 |
| %CV | | 0.82 | 0.53 |
| N | | 20 | 20 |
| Inter Assay Precision | | | |
| Cl- | | Level 2 (mmol/l) | Level 3 (mmol/l) |
| Mean | | 98.1 | 113 |
| SD | | 0.999 | 1.102 |
| %CV | | 1.02 | 0.97 |
| N | | 20 | 20 |
| Intra Assay Precision | | | |
| Urine Na+ | Level 1 (mmol/l) | Level 2 (mmol/l) | Level 3 (mmol/l) |
| Mean | 32.35 | 82.4 | 197.4 |
| SD | 0.813 | 0.821 | 1.635 |
| %CV | 2.51 | 1.00 | 0.83 |
| N | 20 | 20 | 20 |
| Inter Assay Precision | | | |
| Urine Na+ | | Level 2 (mmol/l) | Level 3 (mmol/l) |
| Mean | | 74.78571429 | 187.2571429 |
| SD | | 3.017 | 5.773 |
| %CV | | 4.03 | 3.08 |
| N | | 14 | 14 |
| Intra Assay Precision | | | |
| Urine K+ | Level 1 (mmol/l) | Level 2 (mmol/l) | Level 3 (mmol/l) |
| Mean | 18.263 | 55.445 | 107.3115 |
| SD | 0.251 | 0.562 | 1.024 |
| %CV | 1.37 | 1.01 | 0.95 |
| N | 20 | 20 | 20 |
| Inter Assay Precision | | | |
| Urine K+ | | Level 2 (mmol/l) | Level 3 (mmol/l) |
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| Mean | | 54.29 | 107.0028571 |
| --- | --- | --- | --- |
| SD | | 0.935 | 1.843 |
| %CV | | 1.72 | 1.72 |
| N | | 14 | 14 |
| Intra Assay Precision | | | |
| Urine Cl- | Level 1 (mmol/l) | Level 2 (mmol/l) | Level 3 (mmol/l) |
| Mean | 54.55 | 124.5 | 275.05 |
| SD | 0.945 | 1.051 | 2.305 |
| %CV | 1.73 | 0.84 | 0.84 |
| N | 20 | 20 | 20 |
| Inter Assay Precision | | | |
| Urine Cl- | Level 1 (mmol/l) | Level 2 (mmol/l) | Level 3 (mmol/l) |
| Mean | | 114.4285714 | 264.3571429 |
| SD | | 3.228 | 4.517 |
| %CV | | 2.82 | 1.71 |
| N | | 14 | 14 |
b. Linearity/assay reportable range:
Glucose up to 450 mg/dl
Serum Urine
Na+ - 20-200 20-1000
K+ - 0.2-20 1-50
Cl- 25-200 20-500
c. Traceability (controls, calibrators, or method):
Not Applicable - previously cleared
d. Detection limit:
Glucose - 0.52 mg/dl
Na+K+Cl- see reportable range.
e. Analytical specificity:
Glucose - No interference up to
10 g/L Hgb
240 umol/L bili.
800 mg/dl Lipids
Na+K+ and Cl- No interference up to
10 g/L Hgb
25 mg/dl
800 mg/dl Lipids
f. Assay cut-off:
Not Applicable
5. Comparison studies:
a. Method comparison with predicate device:
Glucose Y=1.0418X -0.1507 / R2= 0.9903 / N=40
Na+ Y=0.91X+8.60 / R2=0.99 / N=91
K+ Y=0.97X+0.09 / R2=0.99 / N=73
Cl- Y=0.98X-0.27 / R2=0.99 / N=84
b. Matrix comparison:
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Glucose - Not Applicable
Urine Na+ Y=1.00X+4.43 / R2=1.00 / N=68
Urine K+ Y=1.02X-1.07 / R2=1.00 / N=59
Urine Cl- Y=0.96X+6.09 / R2=0.96 / N=60
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):
Not Applicable
4. Clinical cut-off:
Not Applicable
5. Expected values/Reference range:
Glucose = 75-115 mg/dl
Na+ = 136-146
K+ = 3.5-5.1
Cl- = 97-107
from literature
Instrument Name:
RANDOX RX DAYTONA
System Descriptions:
1. Modes of Operation:
Routine and Stat modes
2. Software:
FDA has reviewed applicant’s Hazard Analysis and software development processes for this line of product types:
Yes ☐ X or No ☐
3. Sample Identification:
Bar Code, Normal Sample presentation
4. Specimen Sampling and Handling:
Random Access and Stat modes
5. Assay Types:
Rate, End Point (one or two read points)
6. Reaction Types:
Photometric, ISE
7. Calibration:
- Factor (Conc. = K[factor]A[absorbance]+B[initial concentration of corrected zero])
- Single calibrator with auto dilution of highest calibrator or multi calibrator
- Linear
- Point to point
- Log-Logit
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- Spline
- Exponential
- ISE (reference electrode)
8. Quality Control:
Instrument contains a QC database that capable of storing up to 6 months of results. The user can view raw data and graphs for a period of 31 days for each test method. The software offers the facility to view up to three levels of QC data.
QC options also allow displays for 3 – month period and uses standard QC parameters and Westgard Rules.
Other Supportive Instrument Performance Characteristics Data Not Covered In The “L. Performance Characteristics” Section Of The SE Determination Decision Summary.
Conclusion:
The information and data provided by RANDOX LABORATORIES, LTD. supports a Substantial Equivalence (SE) determination to other 21CFR§-862.1345 Glucose test system, 21CFR§-862.1665 Sodium test system, 21CFR§-862.1600 Potassium test system, 21CFR§-862.1170 Chloride test system for use on ANALYZER, CHEMISTRY, MICRO, FOR CLINICAL USE regulated under 21 CFR §862.2170 - Micro chemistry analyzer for clinical use.
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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.