BIO-RAD SERUM PROTEINS BY CAPILLARY ELECTROPHORESIS
Applicant
Bio-Rad
Product Code
CEF · Clinical Chemistry
Decision Date
Jun 4, 1997
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 862.1630
Device Class
Class 1
Indications for Use
Bio-Rad Serum Proteins by Capillary Electrophoresis is designed for the separation and measurement of protein fractions in human serum when used with the Bio-Rad BioFocus Capillary Electrophoresis Unit.
Device Story
System consists of BioFocus Capillary Electrophoresis Unit, reagent kit, and Clinical Data Management (CDM) software. Input: human serum sample diluted with internal marker. Principle: capillary zone electrophoresis; sample migrates through silica capillary under electric field; electroosmotic flow (EOF) drives bulk fluid toward cathode; proteins separated based on mass-to-charge ratio. Detection: direct absorbance of peptide bond at 225 nm. CDM software converts migration time to electrophoretic mobility using internal marker to quantitate five protein fractions. Used in clinical laboratory settings by trained personnel. Output: relative percent quantitation of protein fractions. Benefits: avoids gel porosity aggregation, cryoprecipitation, and staining variability associated with traditional agarose gel electrophoresis; provides accurate relative percent quantitation.
Clinical Evidence
Bench testing only. Precision evaluated per NCCLS EP5-T2; Within-Run CV 4.7-5.8%, Between-Day CV 5.5-5.7%, Total CV 6.4-7.1%. Accuracy/correlation evaluated per NCCLS EP9-T against Beckman Paragon Gel Electrophoresis; mean r=0.813. Measuring range down to 1 g/dL.
Technological Characteristics
Silica capillary electrophoresis system; absorbance detection at 225 nm; electroosmotic flow-driven separation; reagent kit includes diluent with internal marker; software-based data management; standalone analytical system.
Indications for Use
Indicated for the separation and measurement of protein fractions in human serum for diagnostic purposes.
Regulatory Classification
Identification
A protein (fractionation) test system is a device intended to measure protein fractions in blood, urine, cerebrospinal fluid, and other body fluids. Protein fractionations are used as an aid in recognizing abnormal proteins in body fluids and genetic variants of proteins produced in diseases with tissue destruction.
Clinical Data Management System, Bio-Rad Laboratories (K942451)
Submission Summary (Full Text)
{0}
BIO-RAD
Bio-Rad Laboratories
Diagnostics Group
4000 Alfred Nobel Dr.
Hercules, CA 94547-1803
Telephone: 510 724-7000
Fax: 510 741-5824
K963018
JUN - 4 1997
# SUMMARY OF SAFETY AND EFFECTIVENESS
| Submitter: | Bio-Rad Laboratories, Inc.
Clinical Systems Division
4000 Alfred Nobel Drive
Hercules, California 94547
Phone 1-510-741-6015
FAX 1-510-741-5824 |
| --- | --- |
| Contact Person: | John W. Nelson
Manager, Regulatory Affairs |
| Date Prepared: | July 25, 1996 |
| Product Trade Name: | Bio-Rad Serum Proteins by Capillary Electrophoresis |
| Common Name: | SPCE |
| Classification Name: | Protein, Electrophoretic, Protein Fractionation, 75CEF |
| Predicate Devices | 1. Paragon® SPE kit, Beckman Instruments K802592
2. Paragon CZE™ 2000 Clinical Capillary Electrophoresis System, Beckman Instruments, K953077
3. Clinical Data Management System, Bio-Rad Laboratories, K942451 |
The Bio-Rad Serum Proteins by Capillary Electrophoresis is designed for use on the Bio-Rad BioFocus Capillary Electrophoresis Unit. The analytical system, consisting of instrument, CDM software and reagent kit, provides an assay for the separation and percent determination of protein fractions in human serum.
To establish substantial equivalence to an existing device, and thus establish the safety and effectiveness of the Bio-Rad Serum Proteins by Capillary Electrophoresis kit, the Bio-Rad Serum Proteins by Capillary Electrophoresis has been compared to the Paragon® SPE kit, Beckman Instruments (K802592). A review of the intended use of each system shows them to be essentially the same in that they measure proteins in human serum. The intended use of the Bio-Rad Serum Proteins by Capillary Electrophoresis is stated as: Bio-Rad Serum Proteins by Capillary Electrophoresis is designed for the separation and measurement of protein fractions in human serum when used with the Bio-Rad BioFocus Capillary Electrophoresis
{1}
JUN-03-1997 10:50
Unit. The intended use of the Beckman Paragon Electrophoresis Reagent Test Kit is stated as: This reagent kit is intended for the diagnostic determination of proteins in human serum, cerebrospinal fluid and urine.
Like the Paragon CZE™ 2000 Clinical Capillary Electrophoresis System, Beckman Instruments, (K953077), the Bio-Rad Serum Proteins by Capillary Electrophoresis "Serum Proteins by CE" (SPCE) utilizes the principle of capillary fraction electrophoresis to separate human serum proteins into five distinct bands. The separation is performed at a pH above the isoelectric point of serum proteins, imparting a net negative charge to each protein that is dependent on the difference between the separation pH and the individual protein isoelectric point. When an electric field is applied across the ends of the capillary, the negatively charged proteins and internal marker migrate toward the anode at a velocity dependent upon the ratio of mass to charge. At this pH, the internal surface of the silica capillary is highly ionized, and the presence of positively charged ions in the separation buffer results in a bulk flow of fluid towards the cathode. This electroosmotic flow (EOF) runs counter to the direction of protein migration and is stronger than the anodic movement of the proteins. As a result, the proteins' net motion is towards the detection zone near the cathodic end of the capillary. Measurement of protein absorbance at 225 nm is then achieved through a transparent section of the silica capillary.
Sample processing consists of a one step dilution of a serum sample with a diluent containing an internal marker. The prepared samples, up to 28, are then placed into the BioFocus for analysis.
A Reference Sample is included as the first sample analyzed in each tray to verify system performance. Proteins are measured, as they exit the cathodic end of the capillary, by direct absorbance of the peptide bond at 225 nm. The Clinical Data Management System (CDM), (K942451), utilizes the time versus signal data along with the internal marker, which is used to convert migration time to electrophoretic mobility, to quantitate the percentage of each of the five protein fractions.
The Beckman Paragon Electrophoresis Reagent Test Kit utilizes the principle of electrophoresis on an agaros gel support. When proteins are placed in wells on the agaros plate, they become negatively charged at the pH (8.6) of the buffer. When an electric field is applied, the proteins migrate towards the positive pole. At the end of the electrophoretic run the gel plate is placed in an acetic acid-ethyl alcohol-water solution to fix the protein. The plate is removed from the acid-alcohol solution and dried. The dried plate is placed in a solution of Paragon Blue Stain. Upon removal from the stain, the plate is again washed with acid-alcohol and dried. The plate, with the bands visible, is scanned at 600 nm in a desitometer and the percentage of each of the five fractions are calculated.
The performance of the Bio-Rad Serum Proteins by Capillary Electrophoresis was evaluated for precision, measuring range, and accuracy. The precision studies were done according to NCCLS Evaluation protocol, Vol. 12, No 4, EP5-T2, Appendix C, pp 31-39. Twenty samples each of normal and abnormal control were analyzed for mean area percent. The Within-Run % CV for the normal control averaged 5.8 for the five fractions and for the abnormal control, 4.7. The Between-Day % CV for the normal control averaged 5.7 for the five fractions and for the abnormal control, 5.5. The Total % CV for the normal control averaged 7.1 for the five fractions and for the abnormal control, 6.4. The measuring range was determined to be down to 1 g/d/L.
{2}
JUN-03-1997 10:51
The correlation study, to determine accuracy, of Bio-Rad Serum Proteins by Capillary Electrophoresis and the Beckman Paragon Gel Electrophoresis kit followed NCCLS Document EP9-T. The "r" for the five fractions averaged 0.813.
When comparing these two techniques, differences between them have to be considered when evaluating the correlation data. Capillary electrophoresis is not effected by protein aggregation due to gel porosity characteristics, nor by the problem of cryoprecipitation at the application point between the beta and gamma zones nor by the variability of protein staining as a means of detection. With capillary electrophoresis, absorbance detection of the peptide bond at 225 nm provides a more accurate method of relative percent quantitation. The weak correlation for the Beta fraction is consistent with literature reports concerning aggregation and precipitation of lipoproteins in agarose gels. This phenomenon is not seen with the SPCE kit.
When considering the technology differences between the two methods, it can be concluded from the correlation study and similarities of the general characteristics of the two assays (Appendix C), the Bio-Rad Serum Proteins by Capillary Electrophoresis and the Beckman Paragon Electrophoresis Reagent Test Kit are substantially equivalent. Based on the establishment of substantial equivalence, the safety and effectiveness of the Bio-Rad Serum Proteins by Capillary Electrophoresis is confirmed.
{3}
DEPARTMENT OF HEALTH & HUMAN SERVICES
Public Health Service
Food and Drug Administration
2098 Gaither Road
Rockville MD 20850
JUN - 4 1997
John W. Nelson
Manager, Regulatory Affairs
Bio-Rad Laboratories
4000 Alfred Nobel Drive
Hercules, California 94547-1803
Re: K963018
Bio-Rad Serum Proteins by Capillary Electrophoresis
Regulatory Class: I
Product Code: CEF, JQT
Dated: March 27, 1997
Received: March 31, 1997
Dear Mr. Nelson:
We have reviewed your Section 510(k) notification of intent to market the device referenced above and we have determined the device is substantially equivalent (for the indications for use stated in the enclosure) to devices marketed in interstate commerce prior to May 28, 1976, the enactment date of the Medical Device Amendments, or to devices that have been reclassified in accordance with the provisions of the Federal Food, Drug, and Cosmetic Act (Act). You may, therefore, market the device, subject to the general controls provisions of the Act. The general controls provisions of the Act include requirements for annual registration, listing of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration.
If your device is classified (see above) into either class II (Special Controls) or class III (Premarket Approval), it may be subject to such additional controls. Existing major regulations affecting your device can be found in the Code of Federal Regulations, Title 21, Parts 800 to 895. A substantially equivalent determination assumes compliance with the Good Manufacturing Practice for Medical Devices: General (GMP) regulation (21 CFR Part 820) and that, through periodic GMP inspections, the Food and Drug Administration (FDA) will verify such assumptions. Failure to comply with the GMP regulation may result in regulatory action. In addition, FDA may publish further announcements concerning your device in the Federal Register. Please note: this response to your premarket notification submission does not affect any obligation you might have under sections 531 through 542 of the Act for devices under the Electronic Product Radiation Control provisions, or other Federal laws or regulations.
{4}
Page 2
Under the Clinical Laboratory Improvement Amendments of 1988 (CLIA-88), this device may require a CLIA complexity categorization. To determine if it does, you should contact the Centers for Disease Control and Prevention (CDC) at (770) 488-7655.
This letter will allow you to begin marketing your device as described in your 510(k) premarket notification. The FDA finding of substantial equivalence of your device to a legally marketed predicate device results in a classification for your device and thus, permits your device to proceed to the market.
If you desire specific advice for your device on our labeling regulation (21 CFR Part 801 and additionally 809.10 for in vitro diagnostic devices), please contact the Office of Compliance at (301) 594-4588. Additionally, for questions on the promotion and advertising of your device, please contact the Office of Compliance at (301) 594-4639. Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR 807.97). Other general information on your responsibilities under the Act may be obtained from the Division of Small Manufacturers Assistance at its toll-free number (800) 638-2041 or (301) 443-6597 or at its internet address "http://www.fda.gov/cdrh/dsmamain.html".
Sincerely yours,
Steven I. Gutman, M.D., M.B.A.
Director
Division of Clinical Laboratory Devices
Office of Device Evaluation
Center for Devices and Radiological Health
Enclosure
{5}
# Statement of Intended Use
Page 1 of 1
510(k) Number (If Known)
Device Name: Bio-Rad Serum Proteins by Capillary Electrophoresis
Indications for Use: Bio-Rad Serum Proteins by Capillary Electrophoresis is designed for the separation and measurement of protein fractions in human serum when used with the Bio-Rad BioFocus Capillary Electrophoresis Unit.
(PLEASE DO NOT WRITE BELOW THIS LINE-CONTINUE ON ANOTHER PAGE IF NEEDED)
Concurrence of CDHR, Office of Device Evaluation (ODE)
Prescription Use ☑
(Per 21 CFR 801.109)
OR Over-The-Counter Use ☐
ISO
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.