K060850 · Bioresource Technology, Inc. · JJY · May 30, 2006 · Clinical Chemistry
Device Facts
Record ID
K060850
Device Name
NOD CHEMISTRY CONTROL
Applicant
Bioresource Technology, Inc.
Product Code
JJY · Clinical Chemistry
Decision Date
May 30, 2006
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 862.1660
Device Class
Class 1
Indications for Use
The NOD™ Chemistry Control is a two-level control set that is intended for in-vitro diagnostic use to monitor the precision of laboratory testing procedures for the analytes listed in the package insert (routine chemistries).
Device Story
NOD™ Chemistry Control is a two-level control set used in clinical laboratories to monitor the precision of routine chemistry testing procedures. It serves as a quality control material to ensure the accuracy and reliability of diagnostic assays. The device is intended for professional use by laboratory personnel. By providing known values for specific analytes, it allows clinicians to verify that testing equipment and reagents are performing within established parameters, thereby supporting consistent clinical decision-making and patient diagnostic accuracy.
Clinical Evidence
No clinical data. Bench testing only. Stability validated via real-time aging studies at 4°C, measuring concentration changes over 35 days (unopened) and 14 days (opened) for 28 analytes, confirming performance within company-accepted ranges.
Technological Characteristics
Two-level control set for in-vitro diagnostic use. Classified as Class I quality control material under 21 CFR 862.1660. No specific materials, energy sources, or software algorithms described.
Indications for Use
Indicated for in-vitro diagnostic use to monitor the precision of laboratory testing procedures for routine chemistry analytes.
Regulatory Classification
Identification
A quality control material (assayed and unassayed) for clinical chemistry is a device intended for medical purposes for use in a test system to estimate test precision and to detect systematic analytical deviations that may arise from reagent or analytical instrument variation. A quality control material (assayed and unassayed) may be used for proficiency testing in interlaboratory surveys. This generic type of device includes controls (assayed and unassayed) for blood gases, electrolytes, enzymes, multianalytes (all kinds), single (specified) analytes, or urinalysis controls.
Submission Summary (Full Text)
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1
# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY ASSAY ONLY TEMPLATE
A. 510(k) Number:
k060850
B. Purpose for Submission:
Clearance to market quality control material.
C. Measurand:
Control material for ALT, albumin, ALP, amylase, AST, bilirubin- total and direct, BUN, calcium, $\mathrm{CO}_{2}$, chloride, cholesterol (total, HDL, and LDL), CK, CK-MB, creatinine, CRP, fructosamine, GGT, glucose, iron, lactate, LDH, lipase, lithium, magnesium, phosphorus, potassium, sodium, total protein, triglycerides, and uric acid.
D. Type of Test:
Quality control material
E. Applicant:
Bioresource Technology, Inc.
F. Proprietary and Established Names:
NOD Chemistry Control
G. Regulatory Information:
1. Regulation section:
21CFR 862.1660, Quality control material (assayed and unassayed)
2. Classification:
Class I, reserved
3. Product code:
JJY, multi-analyte controls, all kinds (assayed and unassayed)
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4. Panel:
(75) Chemistry
H. Intended Use:
1. Intended use(s):
See indications for use below.
2. Indication(s) for use:
The NOD™ Chemistry Control is a two-level control set that is intended for in-vitro diagnostic use to monitor the precision of laboratory testing procedures for the analytes listed in the package insert (routine chemistries).
3. Special conditions for use statement(s):
For Prescription Use Only
4. Special instrument requirements:
Not applicable
I. Device Description:
The NOD™ Chemistry Control is a two-level control set that is prepared from purified human serum to which biochemical material (human and animal derived), drugs, chemicals, stabilizers, and preservatives have been added. Individual donor units used in the preparation of the controls were tested using FDA-cleared methods for anti-HIV-1 and 2, HBsAG, anti-HCV, HIV-1 antigens, and syphilis, and found to be non-reactive.
The controls are supplied in a pre-packaged liquid form to avoid potential error or contamination that could be introduced during reconstitution. The controls are tested in the same manner as clinical specimens, and therefore should be assayed according to the instructions accompanying the laboratory instrument, kit, or reagent system being used.
J. Substantial Equivalence Information:
1. Predicate device name(s):
Bio-Rad Multiqual® 1, 2, 3
2. Predicate 510(k) number(s):
2
{2}
k043208
3. Comparison with predicate:
| Similarities | | |
| --- | --- | --- |
| Item | Device | Predicate |
| Intended Use | The NOD™ Chemistry Control is a two-level control set that is intended for in-vitro diagnostic use to monitor the precision of laboratory testing procedures for the analytes listed in the package insert | Same |
| Matrix | Prepared from human serum to which purified biochemical material (tissue extracts of human and animal origin), chemicals, drugs, preservatives, and stabilizers have been added. | Same |
| Form | Liquid, ready-to-use | Same |
| Differences | | |
| --- | --- | --- |
| Item | Device | Predicate |
| Analytes | ALT, albumin, ALP, amylase, AST, bilirubin-total and direct, BUN, calcium, C02, chloride, cholesterol- total, HDL, and LDL, CK, CK-MB, creatinine, CRP, fructosamine, GGT, glucose, iron, lactate, LDH, lipase, lithium, magnesium, phosphorus, potassium, sodium, total protein, triglycerides, and uric acid | Additional analytes |
| Stability(unopened storage claim) | 30 days when stored tightly capped at 2-8°C | Not all analytes are stable for 30 days |
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| Differences | | |
| --- | --- | --- |
| Item | Device | Predicate |
| Stability(opened vial claim) | 14 days when stored tightly capped at 2-8°C | Not all analytes are stable for 14 days |
# K. Standard/Guidance Document Referenced (if applicable):
None referenced.
# L. Test Principle:
Not applicable.
# M. Performance Characteristics (if/when applicable):
# 1. Analytical performance:
a. Precision/Reproducibility:
Not Applicable for a submission of this type.
b. Linearity/assay reportable range:
Not Applicable for a submission of this type.
c. Traceability, Stability, Expected values (controls, calibrators, or methods):
The company assigns values to their controls by assaying 6 randomly selected vials from each manufacturing lot. Vials are measured in triplicate and measured across 3 instruments.
The company assessed the stability of their product through real-time aging studies. Vials were randomly selected from a manufacturing lot and stored at the designated aging temperature. Samples were periodically withdrawn for concentration measurements.
As an example, for sealed samples stored at $4^{\circ}\mathrm{C}$ , the company demonstrated:
| Analyte | Initial Concentration | Concentration at 35 days | Percent Change | Concentration Range Accepted by Company |
| --- | --- | --- | --- | --- |
| Albumin | 5.5 g/dl | 5.4 g/dl | 1.82% | 4.5 - 6.7 |
| Alkaline Phosphatase | 430 U/L | 446 U/L | -3.72% | 345 - 517 |
| ALT | 217 U/L | 211 U/L | 2.76% | 184 - 275 |
| Amylase | 390 U/L | 393 U/L | -0.77% | 312 - 468 |
| AST | 134 U/L | 127 U/L | 5.22% | 98 - 146 |
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| Analyte | Initial Concentration | Concentration at 35 days | Percent Change | Concentration Range Accepted by Company |
| --- | --- | --- | --- | --- |
| Bilirubin-total | 3.3 mg/dl | 3 mg/dl | 9.09% | 2.4 - 3.6 |
| Calcium-total | 11.5 mg/dl | 11.2 mg/dl | 2.61% | 10.0 - 15.0 |
| Chloride | 121 mEq/L | 121 mEq/L | 0.00% | 96 – 144 |
| LD | 187 U/L | 191 U/L | -2.14% | 149 – 225 |
| CK | 771 U/L | 788 U/L | -2.20% | 616 – 926 |
| Creatinine | 1.5 mg/dl | 1.5 mg/dl | 0.00% | 1.3 - 1.9 |
| GGT | 79 U/L | 75 U/L | 5.06% | 63 – 95 |
| Glucose | 177 mg/dl | 181 mg/dl | -2.26% | 138 – 206 |
| Magnesium | 3 mg/dl | 2.9 mg/dl | 3.33% | 2.5 - 3.7 |
| Phosphorus | 5.7 mg/dl | 5.9 mg/dl | -3.51% | 5.0 - 7.4 |
| Potassium | 4.9 mEq/L | 4.9 mEq/L | 0.00% | 4.5 - 6.7 |
| Protein-total | 8.9 g/dl | 8.8 g/dl | 1.12% | 7.0 - 10.6 |
| Sodium | 166 mEq/L | 168 mEq/L | -1.20% | 136 – 204 |
| Urea Nitrogen | 39 mg/dl | 41 mg/dl | -5.13% | 31 – 47 |
| Uric Acid | 6.9 mg/dl | 7 mg/dl | -1.45% | 5.6 - 8.4 |
| Cholesterol | 256 mg/dl | 263 mg/dl | -2.73% | 205 – 307 |
| HDL | 61 mg/dl | 59 mg/dl | 3.28% | 52 – 78 |
| Triglycerides | 241 mg/dl | 254 mg/dl | -5.39% | 187 – 281 |
The data supplied by the company substantiates their claim for a 28 day shelf life when stored unopened at 2 – 8 °C.
The company substantiated their claim for an opened, capped and refrigerated shelf life using real-time aging studies done at 4 °C. A summary of their findings for one example:
| Analyte | Initial Concentration | Concentration at 14 days | Percent Change | Concentration Range Accepted by Company |
| --- | --- | --- | --- | --- |
| Albumin | 5.5 g/dl | 5.5 g/dl | 0.00% | 4.5 - 6.7 |
| Alkaline Phosphatase | 430 U/L | 443 U/L | -3.02% | 345 - 517 |
| ALT | 217 U/L | 214 U/L | 1.38% | 184 - 275 |
| Amylase | 390 U/L | 390 U/L | 0.00% | 312 - 468 |
| AST | 134 U/L | 133 U/L | 0.75% | 98 - 146 |
| Bilirubin-total | 3.3 mg/dl | 3.3 mg/dl | 0.00% | 2.4 - 3.6 |
| Calcium-total | 11.5 mg/dl | 11.2 mg/dl | 2.61% | 10.0 - 15.0 |
| Chloride | 121 mEq/L | 121 mEq/L | 0.00% | 96 - 144 |
| LD | 187 U/L | 190 U/L | -1.60% | 149 - 225 |
| CK | 771 U/L | 792 U/L | -2.72% | 616 - 926 |
| Creatinine | 1.5 mg/dl | 1.5 mg/dl | 0.00% | 1.3 - 1.9 |
| GGT | 79 U/L | 80 U/L | -1.27% | 63 - 95 |
| Glucose | 177 mg/dl | 184 mg/dl | -3.95% | 138 - 206 |
| Magnesium | 3 mg/dl | 2.8 mg/dl | 6.67% | 2.5 - 3.7 |
| Phosphorus | 5.7 mg/dl | 5.9 mg/dl | -3.51% | 5.0 - 7.4 |
| Potassium | 4.9 mEq/L | 4.9 mEq/L | 0.00% | 4.5 - 6.7 |
| Protein-total | 8.9 g/dl | 8.7 g/dl | 2.25% | 7.0 - 10.6 |
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| Analyte | Initial Concentration | Concentration at 14 days | Percent Change | Concentration Range Accepted by Company |
| --- | --- | --- | --- | --- |
| Sodium | 166 mEq/L | 166 mEq/L | 0.00% | 136 - 204 |
| Urea Nitrogen | 39 mg/dl | 39 mg/dl | 0.00% | 31 - 47 |
| Uric Acid | 6.9 mg/dl | 6.8 mg/dl | 1.45% | 5.6 - 8.4 |
| Cholesterol | 256 mg/dl | 248 mg/dl | 3.13% | 205 - 307 |
| HDL | 61 mg/dl | 64 mg/dl | -4.92% | 52 - 78 |
| Triglycerides | 241 mg/dl | 242 mg/dl | -0.41% | 187 - 281 |
The data supplied by the company substantiates their claim for a 14 day shelf life when stored opened but capped at 2 – 8 °C.
d. Detection limit:
Not applicable for a device of this type.
e. Analytical specificity:
Not applicable for a device of this type.
f. Assay cut-off:
Not applicable for a device of this type.
2. Comparison studies:
a. Method comparison with predicate device:
Not applicable for a device of this type.
b. Matrix comparison:
Not applicable for a device of this type.
3. Clinical studies:
a. Clinical Sensitivity:
Not applicable for a device of this type.
b. Clinical specificity:
Not applicable for a device of this type.
c. Other clinical supportive data (when a. and b. are not applicable):
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Not applicable for a device of this type.
4. Clinical cut-off:
Not applicable for a device of this type.
5. Expected values/Reference range:
Not applicable for a device of this type.
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.
7
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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.