ISE MODULE AND BAR CODE READER ADDITION FOR THE DATAPRO CLINICAL CHEMISTRY ANALYZER
Applicant
Thermo Fisher Scientific
Product Code
CGZ · Clinical Chemistry
Decision Date
Sep 4, 2007
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 862.1170
Device Class
Class 2
Indications for Use
The ISE module of the DataPro™ Plus Clinical Chemistry Analyzer is intended for the quantitative determination of sodium, potassium and chloride in serum, using ion-selective (ISE) electrodes. Sodium: Disorders of the sodium ion (Na⁺) can be caused by excessive loss, gain or retention of Na⁺ or excessive retention of water. Low Na⁺ can be associated with renal failure, congestive heart failure and cirrhosis. An increase in Na⁺ is seen in neurological disorders such as tremors, ataxia, confusion and coma. Potassium: Disturbances of potassium (K⁺) homeostasis has serious consequences and can lead to tachycardia when low. When high, respiratory weakness peripheral vascular collapse and cardiac arrest is evident. It is also seen in conditions associated with Addison's disease. Levels higher than 10mmol/L are fatal in most cases. Chloride: When the chloride ion (Cl⁻) is unbalanced in the serum, it is usually a sign of an underlying disturbance in fluid and acid-base homeostasis. A low Cl⁻ concentration is observed in individuals with salt-losing nephritis whereas an increase in Cl⁻ can indicate acute renal failure and metabolic acidosis. The ISE module, and all of the reagents included in this test system are for in vitro diagnostic use only.
Device Story
ISE module for DataPro™ Plus Clinical Chemistry Analyzer; utilizes ion-selective electrodes (ISE) to measure sodium, potassium, and chloride concentrations in serum samples. Device operates within a clinical laboratory setting; used by trained laboratory personnel. Input consists of serum samples; output is quantitative electrolyte concentration values. Clinicians use these results to assess fluid, acid-base, and electrolyte homeostasis, aiding in the diagnosis and management of conditions like renal failure, heart failure, and metabolic acidosis. Benefits include rapid, accurate electrolyte monitoring to guide clinical decision-making.
Clinical Evidence
No clinical data. Performance established via bench testing: precision (CLSI EP5), linearity, and method comparison against predicate (N=59-68 samples). Correlation coefficients: Na 0.970, K 0.996, Cl 0.990. Interference testing showed no impact from lipemia (2000 mg/dL), bilirubin (60 mg/dL), or hemoglobin (1000 mg/dL).
Technological Characteristics
Ion-selective electrode (ISE) technology for potentiometric measurement of sodium, potassium, and chloride. Module integrates with DataPro™ Plus Clinical Chemistry Analyzer. In vitro diagnostic system.
Indications for Use
Indicated for quantitative determination of sodium, potassium, and chloride in serum for patients with suspected fluid, acid-base, or electrolyte imbalances, including renal failure, congestive heart failure, cirrhosis, and neurological disorders. For in vitro diagnostic use only.
Regulatory Classification
Identification
A chloride test system is a device intended to measure the level of chloride in plasma, serum, sweat, and urine. Chloride measurements are used in the diagnosis and treatment of electrolyte and metabolic disorders such as cystic fibrosis and diabetic acidosis.
Submission Summary (Full Text)
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510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION
DECISION SUMMARY
ASSAY AND INSTRUMENT COMBINATION TEMPLATE
A. 510(k) Number:
k070531
B. Purpose for Submission:
New device- ISE module for the DataPro Clinical Chemistry Analyzer (k042767)
C. Measurand:
Chloride, Potassium, and Sodium
D. Type of Test:
Ion Specific Electrode
E. Applicant:
Thermo Fisher Scientific
F. Proprietary and Established Names:
ISE Na, ISE K, and ISE Cl
G. Regulatory Information:
1. Regulation section:
21 CFR 862.1170 Chloride Test
21 CFR 862.1600 Potassium Test
21 CFR 862.1665 Sodium Test
2. Classification:
Class II
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3. Product code:
CGZ- Electrode, Ion- Specific Chloride
CEM- Electrode Ion- Specific, Potassium
JGS- Electrode Ion-Specific, Sodium
4. Panel:
75 (Chemistry)
H. Intended Use:
1. Intended use(s):
See indications for use statement below.
2. Indication(s) for use:
The ISE module of the DataPro™ Plus Clinical Chemistry Analyzer is intended for the quantitative determination of sodium, potassium and chloride in serum, using ion-selective (ISE) electrodes.
Sodium: Disorders of the sodium ion (Na⁺) can be caused by excessive loss, gain or retention of Na⁺ or excessive retention of water. Low Na⁺ can be associated with renal failure, congestive heart failure and cirrhosis. An increase in Na⁺ is seen in neurological disorders such as tremors, ataxia, confusion and coma.
Potassium: Disturbances of potassium (K⁺) homeostasis has serious consequences and can lead to tachycardia when low. When high, respiratory weakness peripheral vascular collapse and cardiac arrest is evident. It is also seen in conditions associated with Addison's disease. Levels higher than 10mmol/L are fatal in most cases.
Chloride: When the chloride ion (Cl⁻) is unbalanced in the serum, it is usually a sign of an underlying disturbance in fluid and acid-base homeostasis. A low Cl⁻ concentration is observed in individuals with salt-losing nephritis whereas an increase in Cl⁻ can indicate acute renal failure and metabolic acidosis.
The ISE module, and all of the reagents included in this test system are for in vitro diagnostic use only.
3. Special conditions for use statement(s):
For prescription use only
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4. Special instrument requirements:
DataPro Plus Clinical Chemistry Analyzer
I. Device Description:
The ISE Cl, Na and K reagents include a buffer, mid standard, reference solution, low and high serum standard, internal reference solution and sodium/potassium selectivity check solution.
J. Substantial Equivalence Information:
1. Predicate device name(s):
Olympus AU400 ISE Module
2. Predicate K number(s):
k981743
3. Comparison with predicate:
| Similarities | | |
| --- | --- | --- |
| Item | Device | Predicate |
| Analytes | Na, K, and Cl | Na, K, and Cl |
| Sample | Serum | Serum |
| Differences | | |
| --- | --- | --- |
| Item | Device | Predicate |
| System | Vertical Channel | Vertical block, Flow Cell |
| Sample Volume | 100 μl | 20 μl |
| Measuring Range | Sodium: 113-190 mmol/L
Potassium 1.3-8.6 mmol/L
Chloride: 50 -148 mmol/L | Sodium: 50-200 mmol/L
Potassium: 1-10 mmol/L
Chloride: 50- 200 mmol/L |
| | | |
K. Standard/Guidance Document Referenced (if applicable):
EP5- Evaluation of precision performance of clinical chemistry devices.
L. Test Principle:
The ISE module operates with direct measurement of electrolytes through membrane ion selective electrodes. Electrodes operate upon selective electrolyte detection properties of
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membrane electrolyte filled sensors. A potential is developed and then referred to the reference electrode at the ion selective membrane. This is done by means of the ion selective membrane which develops a potential with respect to reference electrode.
# M. Performance Characteristics (if/when applicable):
# 1. Analytical performance:
# a. Precision/Reproducibility:
Precision was assessed per CLSI EP5. Six samples were run in duplicate twice a day for twenty days. The within run, between run, between day and total precision results for all three analytes are presented in the table below.
| | | Within Run | | Between Run | | Between Day | | Total | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Assay | Mean | SD | CV% | SD | CV% | SD | CV% | SD | CV% |
| Sodium (mmol/L) | 128.3 | 1.3 | 1.0 | 0.7 | 0.6 | 0.2 | 0.2 | 1.5 | 1.2 |
| | 141.7 | 0.9 | 0.6 | 1.4 | 1.0 | 1.8 | 1.2 | 2.4 | 1.7 |
| Potassium (mmol/L) | 3.77 | 0.04 | 1.1 | 0.04 | 0.9 | 0.06 | 1.7 | 0.08 | 2.2 |
| | 5.78 | 0.09 | 1.5 | 0.04 | 0.7 | 0.02 | 0.3 | 0.10 | 1.7 |
| Chloride (mmol/L) | 96.2 | 0.9 | 1.0 | 0.8 | 0.8 | 0.5 | 0.5 | 1.3 | 1.4 |
| | 108.9 | 0.9 | 0.8 | 1.6 | 1.5 | 0.4 | 0.4 | 1.9 | 1.7 |
# b. Linearity/assay reportable range:
The sponsor conducted linearity studies using prepared linearity materials. The data obtained supported the claimed range for the three analytes as follows: 113.0-190 mmol/L for sodium, 1.40-8.6 mmol/L for potassium and 50 -148 mmol/L for chloride. The results are presented in the table below.
| Analyte | N | Slope | Intercept | Error mmol/L | Allowable Error (mmol/L) | Range |
| --- | --- | --- | --- | --- | --- | --- |
| Sodium | 5 | 0.96 | 6.3 | 0.87 | 3.4 | 113.0-190.0 |
| Potassium | 5 | 0.96 | 0.17 | 0.21 | 0.425 | 1.40-8.59 |
| Chloride | 5 | 1.00 | 1.0 | 2.3% | 4.3% | 50.0-148.0 |
# c. Traceability, Stability, Expected values (controls, calibrators, or methods):
Sodium, potassium and chloride contained within the reagents are traceable to a NIST standard (SRM 918a, SRM 919a).
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d. Detection limit:
See linearity/assay reportable range above.
e. Analytical specificity:
Interference by bilirubin, lipemia and hemoglobin was assessed. There was no interference found with concentrations up to $2000\mathrm{mg / dL}$ for lipemia, $60\mathrm{mg / dL}$ for conjugated and unconjugated bilirubin, and $1000\mathrm{mg / dL}$ for hemoglobin.
f. Assay cut-off:
Not applicable.
2. Comparison studies:
a. Method comparison with predicate device:
A comparison study was performed with the AU400 ISE (x) against the DataPro ISE (y). The results for all three analytes are shown in the table below.
| Analyte | N | Slope | Intercept | Correlation Coefficient | Sample Range (mmol/L) |
| --- | --- | --- | --- | --- | --- |
| Sodium | 59 | 0.986 | 0.8 | 0.970 | 116 – 179 |
| Potassium | 60 | 1.036 | -0.06 | 0.996 | 1.4 – 8.4 |
| Chloride | 68 | 0.964 | 6.6 | 0.990 | 55 – 147 |
b. Matrix comparison:
Not applicable as this device is intended for use with serum 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):
Not applicable.
4. Clinical cut-off:
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Not applicable.
5. Expected values/Reference range:
The sponsor has referenced the ranges published in Tietz, N.W., Textbook of Clinical Chemistry, W.B. Saunders Co., Philadelphia, 1986, p. 1172-1191 in their package insert.
Sodium: 136-146 mmol/L
Potassium: 3.5- 5.0 mmol/L
Chloride: 98 - 106 mmol/L
N. Instrument Name:
DataPro Plus Clinical Chemistry Analyzer
O. System Descriptions:
1. Modes of Operation:
The DataPro Plus Clinical Chemistry Analyzer is intended to be used a traditional clinical laboratory setting. The analyzer performs various modes: end point with sample blank, fast and two-point kinetics (0 and 1st order), turbidimetric and potentiometric ISE. The device is used for single sample testing.
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:
A bar code option is available.
4. Specimen Sampling and Handling:
Pressurized standards are delivered to the electrodes. The DataPro ISE module for sodium, potassium and chlorine utilizes a permeable membrane that is specific for each ion of interest in the sample solution. An electrical potential is developed according to the Nernst equation for a specific ion. When compared to a reference solution this electrical potential is translated into voltage and then into the ion concentration of the sample solution.
5. Calibration:
Uses factor, standard or calibration curves with two (up to ten) standards with automatic curve adjust. A one or two point calibration is performed at the end of every sample. ISE calibrations do not require operator action as they are automatically performed.
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6. Quality Control:
In the labeling the sponsor recommends that normal and abnormal control serum of known concentrations of sodium, potassium and chloride should be analyzed routinely with each group of unknown samples.
- Levy Jennings plots, Westgard rules.
- Data import and export to other programs and/or remote terminals..
- Automatic backup protection.
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.
R. Conclusion:
The submitted information in this premarket notification is complete and supports a substantial equivalence decision.
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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.