The Tosoh Automated Glycohemoglobin Analyzer HLC-723G8 is intended for IN VITRO DIAGNOSTIC USE for the measurement of hemoglobin A1c (HbA1c) in whole blood specimens. Hemoglobin A1c measurements are used in the clinical management of diabetes to assess the long-term efficacy of diabetic control. The Hemoglobin A1c Calibrator Set is a reference agent designed for calibrating the Tosoh Automated Glycohemoglobin Analyzer HLC-723G8.
Device Story
Automated HPLC system; processes EDTA whole blood samples; separates hemoglobin components (A1a, A1b, F, L-A1c, sA1c, A0) via cation exchange column and gradient elution with three salt-concentration buffers; utilizes microprocessors for automated analysis; outputs stable A1c (sA1c) percentage. Used in clinical laboratory settings; operated by trained personnel. Provides quantitative HbA1c results to clinicians for diabetes management and glycemic control assessment. System includes sampling unit, liquid pump, degasser, detector, sample loader, and printer.
Clinical Evidence
Bench testing only. Precision evaluated via within-run and between-run studies (n=20 replicates per sample); %CV ranged from 0.39% to 1.30%. Linearity verified across 4.0%–16.9% HbA1c range with recoveries within ±5%. Method comparison against predicate (n=114) showed slope 1.020, y-intercept -0.16, r=0.998. Interference studies confirmed no significant impact from labile A1c, icterus, lipemia, or common medications. Reference range established using 146 healthy adults (4.4%–6.1% HbA1c).
Technological Characteristics
Automated ion-exchange HPLC system. Components: sampling unit, liquid pump, degasser, cation exchange column, detector, microprocessors, sample loader, floppy drive, operation panel, printer. Uses stepwise elution with three salt-concentration buffers. Connectivity: digital media storage, printer output.
Indications for Use
Indicated for use in clinical management of diabetes to assess long-term efficacy of diabetic control in patients requiring HbA1c monitoring. For prescription use only.
Regulatory Classification
Identification
A glycosylated hemoglobin assay is a device used to measure the glycosylated hemoglobins (A1a , A1b , and A1c ) in a patient's blood by a column chromatographic procedure. Measurement of glycosylated hemoglobin is used to assess the level of control of a patient's diabetes and to determine the proper insulin dosage for a patient. Elevated levels of glycosylated hemoglobin indicate uncontrolled diabetes in a patient.
Predicate Devices
Tosoh G7 Automated HPLC Analyzer (k011434)
Submission Summary (Full Text)
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# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY ASSAY ONLY TEMPLATE
A. 510(k) Number:
k071132
B. Purpose for Submission:
New device
C. Measurand:
Hemoglobin A1c (HbA1c) assay and calibrators
D. Type of Test:
Quantitative High Performance Liquid Chromatography
E. Applicant:
Tosoh Bioscience, Inc.
F. Proprietary and Established Names:
G8 Automated Glycohemoglobin Analyzer HLC-723G8
Hemoglobin A1C Calibrator Set
G. Regulatory Information:
1. Regulation section:
21CFR Section 864.7470, Glycosylated Hemoglobin Assay
21CFR Section 862.1150 Calibrator
2. Classification:
Class II
3. Product code:
LCP, JIS
4. Panel:
Assay, Hematology (81)
Calibrator, Clinical Chemistry (75)
H. Intended Use:
1. Intended use(s):
See indications for use below.
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2. Indication(s) for use:
The G8 Automated Glycohemoglobin Analyzer HLC-723G8 is intended for IN VITRO DIAGNOSTIC USE for the measurement of hemoglobin A1c (HbA1c) in whole blood specimens. A1c measurements are used in the clinical management of diabetes to assess the long-term efficacy of diabetic control.
The A1C Calibrator Set is a reference agent designed for calibrating Tosoh G8 Automated Glycohemoglobin Analyzer HLC-723G8.
3. Special conditions for use statement(s):
For prescription use only
4. Special instrument requirements:
Tosoh G8 Automated Glycohemoglobin Analyzer HLC-723G8
I. Device Description:
The Tosoh G8 Automated Glycohemoglobin Analyzer HLC-723G8 is an automated HPLC system that separates and reports stable A1C (sA1C) percentage in whole blood. The system consists of a sampling unit, liquid pump, degasser, column, detector, microprocessors, sample loader, floppy disk drive unit, operation panel and a printer.
The Hemoglobin A1c Calibrator Set contains five bottles each of Calibrators 1 and 2. The Calibrators contain processed human blood with a preservative. Human blood used in the preparation of the calibrator set has been tested and found to be negative for HBsAg, HIV and HCV.
The Hemoglobin A1c Control Set was cleared under k972265.
J. Substantial Equivalence Information:
1. Predicate device name(s):
Tosoh G7 Automated HPLC Analyzer
2. Predicate 510(k) number(s):
k011434
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3. Comparison with predicate:
| Similarities/Differences | | |
| --- | --- | --- |
| Item | Device | Predicate |
| Intended Use | Quantitative measurement of A1c and Total HbA | Same |
| Methodology | Ion-exchange HPLC | Same |
| Standardization | Traceable to the Diabetes Control and Complication Trial (DCCT) reference method and IFCC. Certified via the National Glycohemoglobin Standardization Program (NGSP). | Same |
| Calibration | 2 point | Same |
| Sample Type | Human anticoagulated (EDTA)whole blood | Same |
| Throughput (minutes) | 1.6 | 2.2 |
| Sample volume | 4 uL | 3 uL |
K. Standard/Guidance Document Referenced (if applicable):
UL 6101-1 Electrical Equipment for Measurement, Control and Laboratory use – part 2-110: particular requirements for In Vitro Diagnostic (IVD) Medical Equipment
IEC 60601-1-2, (Second Edition 2001) Medical Electrical Equipment – Part 1-2: General Requirements for Safety: Electromagnetic Compatibility – Requirements and Tests
CEN EN 980:1996+A1:1999+A2:2001, Graphical Symbols for Use in the Labeling of Medical Devices (General)
BSN EN 375 Information Supplied by the Manufacturer with In Vitro Diagnostic Reagents for Professional Use
L. Test Principle:
The Tosoh G8 Automated Glycohemoglobin Analyzer HLC-723G8 uses a cation exchange column and separates the usual hemoglobin components in the blood into six fractions, A1a, A1b, F, L-A1c, SA1c and A0. The separation is done by eluting the hemoglobins from the column with a gradient of three elution buffers containing different salt concentrations.
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M. Performance Characteristics (if/when applicable):
1. Analytical performance:
a. Precision/Reproducibility:
Within-run precision was evaluated at two sites, one instrument per site. Each site was provided with the same sample set. The first study consisted of two levels of controls and three patient whole blood samples in the normal, high and very high %HbA1c range. Patient samples are EDTA human whole blood. The estimates of imprecision obtained from the analysis are given in the table below.
| Samples | Number of Replicates | Mean(%HbA1c) | SD | %CV |
| --- | --- | --- | --- | --- |
| Low Control | 20 | 5.39 | 0.03 | 0.57 |
| High Control | 20 | 10.58 | 0.04 | 0.39 |
| Whole Blood Normal | 20 | 5.07 | 0.05 | 0.93 |
| Whole Blood High | 20 | 7.39 | 0.03 | 0.42 |
| Whole Blood Very High | 20 | 13.54 | 0.06 | 0.44 |
The second study consisted of diluted whole blood samples at low, high and very high %HbA1c values. The estimates of imprecision obtained from the analysis are given in the table below.
| Samples | Number of Replicates | Mean(%HbA1c) | SD | %CV |
| --- | --- | --- | --- | --- |
| Diluted Blood Low | 20 | 6.1 | 0.06 | 1.0 |
| Diluted Blood High | 20 | 10.7 | 0.10 | 0.90 |
| Diluted Blood Very High | 20 | 13.0 | 0.13 | 1.0 |
Between-run precision was evaluated on five samples and two controls at two sites, one instrument per site. In the first study two controls and three whole blood samples, representing both normal and abnormal levels of %HbA1c were analyzed on 20 non-consecutive days. Each site was provided with the same sample set and directed to perform one sample per day on one instrument. The estimates of imprecision obtained from the analysis are given in the table below.
| Samples | Number of Replicates | Mean(%HbA1c) | SD | %CV |
| --- | --- | --- | --- | --- |
| Low Control | 20 | 5.39 | 0.03 | 0.57 |
| High Control | 20 | 10.58 | 0.04 | 0.39 |
| Whole Blood Normal | 20 | 5.07 | 0.05 | 0.93 |
| Whole Blood High | 20 | 7.39 | 0.03 | 0.42 |
| Whole Blood Very High | 20 | 13.54 | 0.06 | 0.44 |
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The second study at a different site consisted of diluted whole blood patient samples at low, and high $\% \mathrm{HbA1c}$ values analyzed on 20 non-consecutive days. The estimates of imprecision obtained from the analysis are given in the table below.
| Samples | Number of Replicates | Mean(%HbA1c) | SD | %CV |
| --- | --- | --- | --- | --- |
| Diluted Patient Low | 20 | 5.37 | 0.07 | 1.30 |
| Diluted Patient High | 20 | 10.52 | 0.07 | 0.60 |
# b. Linearity/assay reportable range:
Linearity across the reportable range was performed using whole blood samples collected in EDTA with low (2.2%) HbA1c and high (16.9%) HbA1c levels. The observed values of the neat specimens were verified by HPLC. The theoretical value was calculated based upon mixing two samples at differing ratios and dividing by the dilution factor. The diluted samples were run in triplicate on the G8 Analyzer. The observed values were all within $100 \pm 5\%$ of the theoretical values. The results of the study are below.
| Sample Pool | Observed %A1c | Theoretical % A1c | % Recovery |
| --- | --- | --- | --- |
| 0 | 2.2 | | |
| 1 | 3.6 | 3.6 | 100 |
| 2 | 5.1 | 5.1 | 100 |
| 3 | 6.6 | 6.6 | 100 |
| 4 | 8.0 | 8.1 | 98.8 |
| 5 | 9.4 | 9.6 | 97.9 |
| 6 | 11.2 | 11.0 | 101.8 |
| 7 | 12.4 | 12.5 | 99.2 |
| 8 | 14.0 | 14.0 | 100 |
| 9 | 15.5 | 15.5 | 100 |
| 10 | 16.9 | 16.9 | 100 |
A second linearity study was performed using four levels of commercially available linearity material tested in triplicate. The assigned values were compared to the mean of the observed values. The observed values were within $\pm 5\%$ of the expected values for all samples tested. The results submitted demonstrated linearity across the claimed reportable range of 4.0 to $16.9\%$ A1c.
| Control Level | Assigned Value %A1c | Mean of Observed Values | % Recovery |
| --- | --- | --- | --- |
| 1 | 3.1 | 3.2 | 103.2 |
| 2 | 5.8 | 5.9 | 101.7 |
| 3 | 10.2 | 10.3 | 101.9 |
| 4 | 18.6 | 18.4 | 99.1 |
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c. Traceability, Stability, Expected values (controls, calibrators, or methods): Hemoglobin A1c reference materials were obtained from the Reference Material Institute for Clinical Chemistry Standards, Japan. The reference materials and calibrators were run on multiple G8 analyzers and other predicate Tosoh analyzers to assign Japanese Diabetic Society (JDS) A1c values to the calibrators. The JDS values are aligned to IFCC A1c values and NGSP A1c values according to an IFCC-JDS publication and the IFCC-NGSP Master Equation.
Real time stability and accelerated stability study protocols and acceptance criteria were reviewed and found to be acceptable to support stability of the Calibrators for two years at 2-8°C.
d. Detection limit:
The reportable range is 4.0 to 16.9 % HbA1c. See the linearity study above for data on recovery of samples across the measuring range.
e. Analytical specificity:
Several interfering substance studies were performed which included Labile A1c, carbamylated A1c, icterus, lipemia, acetaldehyde, acetylsalicylic acid and EDTA. Whole blood pooled samples with normal and diabetic levels of HbA1c were initially analyzed without the spiked material. Then each sample was spiked with glucose, bilirubin, triglycerides, sodium cyanate, acetylsalicylic acid, acetaldehyde and EDTA to determine interference. The specification for interference was variance in the HbA1c value greater than the assigned value × 1.00 ± 0.05. No interference was seen from labile A1c up to 1000 mg/dL, icterus up to 20 mg/dL, lipemia up to 1000 mg/dL, carbamylated A1c up to 25 mg/dL, acetaldehyde up to 25 mg/dL, acetylsalicylic acid up to 50 mg/dL and EDTA up to 10 mg/dL.
A hemoglobin (Hb) variant interference study was performed using a high HbF human whole blood sample and commercially available controls for HbAE, HbAD, HbAS and HbAc. Two pooled whole blood patient samples representing normal and abnormal HbA1c levels were used. A dilution series of each variant Hb was prepared with the patient samples and measured on the Tosoh G8 Analyzer. The acceptance criteria were that a variant Hb is considered to interfere with the G8 Analyzer when the variance percent (%) or recovery percent (%) is greater than 100 ±10%. The results of this study show that HbAE was not distinguished from the other peaks and therefore does interfere with sA1c measurement. No interference was observed for HbF up to a concentration of 10%. No interference was observed for HbAD, HbAS and HbAC up to a concentration of 30%. Hemoglobins AD, AS, and AC elute after the A0 peak and are subtracted when calculating sA1c.
f. Assay cut-off:
Not applicable.
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2. Comparison studies:
a. Method comparison with predicate device:
The manufacturer performed an in-house evaluation. Measurements for the Tosoh G8 analyzer were compared to the predicate, Tosoh G7 Analyzer on one hundred and fourteen EDTA whole blood samples. The range of samples on the new Tosoh G8 Analyzer was 4.0 to 16.8% A1c. A linear regression was performed resulting in a slope of 1.020, a y-intercept of -0.16 and a correlation coefficient of 0.998.
b. Matrix comparison:
Not applicable
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:
The sponsor conducted the Expected Values study in-house on EDTA whole blood samples collected from one hundred and forty-six apparently non-diabetic healthy adults representative of the U. S. population. The samples were tested on the G8 Analyzer and fell within the range of 4.4 – 6.1% A1c.
N. Instrument Name:
Tosoh G8 Automated Glycohemoglobin Analyzer HLC-723G8
O. System Descriptions:
1. Modes of Operation:
The HPLC is an automated system that consists of a sampling unit, liquid pump, degasser, column, detector, microprocessors, sample loader, floppy disk drive unit, operation panel and a printer.
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:
The specimens are identified by a barcode.
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4. Specimen Sampling and Handling:
The samples are EDTA whole blood and are handled by the sampling unit.
5. Calibration:
The analyzer performs a two point calibration
6. Quality Control:
Two levels of external quality control materials are sold separately. The labeling instructs users to follow recommendations for running the quality per local, state and federal.
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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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.
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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?
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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.
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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.
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Reading rule for every project: how many summaries do you read in full?
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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?
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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.
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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.
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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.