The "LIASYS 450 SAT 450" is a random access, computer controlled, counter top, clinical analyzer for clinical chemistry. The instrument provides in vitro quantitative measurements for glucose, sodium, potassium and chloride in serum. Other various chemistry assays are adaptable to this instrument. 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. Sodium measurements are used in the diagnosis and treatment of aldosteronism, diabetes insipidus and other diseases involving electrolyte imbalance. Measurements of potassium are used to monitor electrolyte balance in the diagnosis and treatment of disease conditions characterized by low or high blood potassium levels. Chloride measurements are used in the diagnosis and treatment of electrolyte and metabolic disorders such as cystic fibrosis and diabetic acidosis.
Device Story
LIASYS 450 SAT 450 is a random-access, computer-controlled, countertop clinical chemistry analyzer. Device processes serum samples to provide quantitative measurements of glucose, sodium, potassium, and chloride. System is designed for clinical laboratory use by trained personnel. Instrument automates chemistry assays; results are displayed for healthcare providers to assist in diagnosing and monitoring metabolic and electrolyte disorders. Device supports additional adaptable chemistry assays.
Clinical Evidence
No clinical data provided; substantial equivalence based on technological characteristics and intended use as a clinical chemistry analyzer.
Technological Characteristics
Random-access, computer-controlled, countertop clinical chemistry analyzer. Performs in vitro quantitative measurements of glucose, sodium, potassium, and chloride in serum. System architecture supports adaptable chemistry assays.
Indications for Use
Indicated for in vitro quantitative measurement of glucose, sodium, potassium, and chloride in serum for patients requiring diagnosis or treatment monitoring of carbohydrate metabolism disorders, electrolyte imbalances, or metabolic disorders.
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
ASSAY AND INSTRUMENT COMBINATION TEMPLATE
A. 510(k) Number:
k113131
B. Purpose for Submission:
New analyzer for use with previously cleared glucose reagent k080468 and ISE module k080468/k063376
C. Measurand:
Glucose, Potassium, Chloride and Sodium
D. Type of Test:
Quantitative photometric and ion selective electrodes
E. Applicant:
AMS
F. Proprietary and Established Names:
LIASYS 450 SAT 450
G. Regulatory Information:
1. Regulation section:
21CFR Sec.-862.1345 - Glucose Test System.
21CFR Sec.-862.1600 - Potassium Test System.
21CFR Sec.-862.1170 - Chloride Test System.
21CFR Sec.-862.1665 - Sodium Test System.
21CFR Sec.-862.2160 - Discrete Photometric Chemistry Analyzer For Clinical Use.
2. Classification:
Class II and Class I (Analyzer)
3. Product code:
CFR - Hexokinase, Glucose
CEM - Electrode, Ion Specific, Potassium
CGZ - Electrode, Ion-Specific, Chloride
JGS - Electrode, Ion Specific, Sodium
JJE - Analyzer, Chemistry (Photometric, Discrete), For Clinical Use
4. Panel:
Chemistry (75)
H. Intended Use:
1. Intended use(s):
See indication(s) for use below
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2. **Indication(s) for use:**
The "LIASYS 450 SAT 450" is a random access, computer controlled, counter top, clinical analyzer for clinical chemistry. The instrument provides in vitro quantitative measurements for glucose, sodium, potassium and chloride in serum. Other various chemistry assays are adaptable to this instrument.
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. Sodium measurements are used in the diagnosis and treatment of aldosteronism, diabetes insipidus and other diseases involving electrolyte imbalance. Measurements of potassium are used to monitor electrolyte balance in the diagnosis and treatment of disease conditions characterized by low or high blood potassium levels. Chloride measurements are used in the diagnosis and treatment of electrolyte and metabolic disorders such as cystic fibrosis and diabetic acidosis.
3. **Special conditions for use statement(s):**
Prescription Use
4. **Special instrument requirements:**
LIASYS 450 SAT 450
I. **Device Description:**
The LIASYS 450 SAT 450 is a benchtop, fully automatic, random access, open analyzer for clinical and immunoturbidimetric assays.
It communicates with a computer through a USB and/or RS 232 port.
The LIASYS 450 SAT 450 instrument is composed of the following main parts:
- Sampling Arm;
- Diluter;
- Reactions Plate;
- Samples Plate;
- Reagents Plate;
- Photometer;
- Washing Station;
- Electronic Boards.
J. **Substantial Equivalence Information:**
1. **Predicate device name(s):**
LIASYS Chemistry Analyzer, AMS Glucose Hexokinase and ISE Module
2. **Predicate 510(k) number(s):**
k080468
3. **Comparison with predicate:**
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| Description | Liasys 450/SAT 450 | Predicate (k080468) |
| --- | --- | --- |
| Indications for Use | The "LIASYS 450 SAT 450" is a random access, computer controlled, counter top, clinical analyzer for clinical chemistry. The instrument provides in vitro quantitative measurements for various chemistry assays. | Same |
| Analytes | Glucose, Potassium, Chloride and Sodium | Glucose, Urea Nitrogen, Creatinine, Aspartate Amino Transferase, Potassium, Chloride and Sodium |
| System Principle | Automatic, random access, computer controlled, counter top, non-stop loading clinical chemistry and immunoturbidimetric analysis instrument. | Same |
| Throughput | 450 tests per hour | 300 test per hour |
| Configuration | Analytical Unit & CPU | Same |
| Optical Measurement | | |
| Measurement Modes | Absorbance | Same |
| Detector | Photometer: double ray | Same |
| Optical System | Wavelength range: 340 nm to 680 nm | Wavelength range: 340 nm to 620 nm |
| Filters | Interferential filters | Same |
| Linear Absorbance Range | 0.0001/4.200 Abs | 0.0001/2.500 Abs |
| Light Source | 6V/10W halogen bulb | Same |
| Data Processing | | |
| Calibration Curve | End point, Fixed Time, Kinetic, Bi-chromatic, Differential and Immunoturbidimetric | Same |
| Cuvettes | Washable/reusable Reaction Cuvettes | Same |
| Number of cuvettes | 20 cuvettes per segment, four segment total (80 cuvettes) | 60 Individually replaceable cuvettes |
| Cuvette Washing | Consists of 5 probes, which empty, wash and dry the reaction cuvette | Consists of 5 probes, which empty, wash and dry the reaction cuvette |
| Path Length | 6mm | 10mm |
| Cuvette volume | 200-450uL | 300-670uL |
| Diluent Volume | 3-99 uL | Same |
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| Reagent volume | 2-350 uL | 3-500 uL |
| --- | --- | --- |
| Sample/Reagent Delivery | | |
| Pipetting System | Single probe equipped with: Volume level sensor, pre-heating (37°C) and automatic probe washing | Same |
| Sample Dispense | 2-99 uL | Same |
| Reagent Dispense | 2-350 uL | 181-499 uL |
| ISE Module | Medica ISE (k063376) | Same |
K. Standard/Guidance Document Referenced (if applicable):
None were referenced.
L. Test Principle:
The AMS Diagnostics glucose hexokinase method is based on a modification of Slein, using hexokinase and glucose-6-phosphate-dehydrogenase to catalyze the reaction. Glucose is phosphorylated with adenosine triphosphate (ATP) in the reaction catalyzed by hexokinase (HK). The product, glucose-6-phosphate (G6P) is then oxidized with the concomitant reduction of nicotinamide adenine dinucleotide (NAD) to NADH in the reaction catalyzed by glucose-6-phosphate-dehydrogenase (G6PDH). The formation of NADH causes an increase in absorbance at 340 nm. The increase is directly proportional to the amount of glucose in the sample.
ISE module measures the potentials developed when the sample is positioned in the electrodes. Next, Calibrant A is positioned in the electrodes. The difference in the two potentials is related logarithmically to the concentration of the measured ions in the sample divided by their respective concentrations in the Calibrant solution.
M. Performance Characteristics (if/when applicable):
1. Analytical performance:
a. Precision/Reproducibility:
Three levels of serum based chemistry controls were evaluated; the value of one level is in the normal range, the other two levels above or below the normal range. Within Run Precision was performed by running each precision sample twenty times in a single run. Total Run Precision is performed for a minimum of 20 days.
Glucose Precision:
| Within Run | Level 1 | Level 2 | Level 3 |
| --- | --- | --- | --- |
| Mean (mg/dL) | 49.5 | 91.3 | 305.1 |
| S.D. (mg/dL) | 0.7 | 1.3 | 3.4 |
| C.V. (%) | 1.4 | 1.4 | 1.1 |
| Total | | | |
| S.D. (mg/dL) | 2.0 | 2.5 | 8.1 |
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C.V. (%) 4.1 2.7 2.7
Precision: Na (Sodium)
| Within Run | Level 1 | Level 2 | Level 3 |
| --- | --- | --- | --- |
| Mean (mmol/L) | 112.7 | 137.9 | 161.5 |
| S.D.(mmol/L) | 1.6 | 0.4 | 0.5 |
| C.V. (%) | 1.4 | 0.3 | 0.3 |
| Total | | | |
| S.D.(mmol/L) | 1.9 | 1.2 | 1.5 |
| C.V. (%) | 1.7 | 0.8 | 1.0 |
Precision: K (Potassium)
| Within Run | Level 1 | Level 2 | Level 3 |
| --- | --- | --- | --- |
| Mean (mmol/L) | 2.44 | 4.31 | 6.25 |
| S.D.(mmol/L) | 0.04 | 0.02 | 0.05 |
| C.V. (%) | 1.5 | 0.5 | 0.9 |
| Total | | | |
| S.D.(mmol/L) | 0.05 | 0.05 | 0.09 |
| C.V. (%) | 2.0 | 1.2 | 1.5 |
Precision: CL (Chloride)
| Within Run | Level 1 | Level 2 | Level 3 |
| --- | --- | --- | --- |
| Mean (mmol/L) | 87.9 | 103.4 | 161.5 |
| S.D.(mmol/L) | 0.2 | 0.3 | 0.6 |
| C.V. (%) | 0.3 | 0.3 | 0.3 |
| Total | | | |
| S.D.(mmol/L) | 1.0 | 1.3 | 1.4 |
| C.V. (%) | 1.2 | 1.3 | 1.1 |
b. Linearity/assay reportable range:
The assays were evaluated for the result variation difference between test method measurements and that of a known standard over the full range of expected values. The studies were performed using multilevel linearity material run in duplicate with freshly prepared reagents. The linearity sample concentrations included values at the high and low end of reagents' linear ranges. The run included normal, and abnormal control material to evaluate validity of the assay.
Linear Range claimed Slope intercept
Glucose 13 to 500 mg/dL 1.023 0.4
Na (Sodium) 24 - 200 mmol/L 1.003 0.1
K (Potassium) 1.1 - 10.0 mmol/L 1.000 0.14
CL (Chloride) 28 - 150 mmol/L 1.006 -0.5
c. Traceability, Stability, Expected values (controls, calibrators, or methods):
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Not Applicable
d. Detection limit:
The limit of detection for Glucose was determined, first by determining the Level of Blank (LOB) using analyte free samples run 30 times over three days; then the Limit of Detection (LOD) using low analyte samples run 30 times over three days; and then qualifying the LOD to be less than a CV of 20% (4.63) to establish the Level of Quantitation (LOQ)=LOD.
Glucose - Level of Quantitation (LOQ) 12.77 mg/dL
ISE - Not Applicable using linearity as lower limit of detection
e. Analytical specificity:
Studies to determine the level of interference for hemoglobin, bilirubin, and lipemia were carried out, the following results were obtained:
Glucose
- Hemoglobin: Use fresh unhemolyzed serum removed from the clot as soon as possible. No significant interference (± 10%) from hemoglobin up to 1000 mg/dL.
- Bilirubin: No significant interference (± 10%) from bilirubin up to 21.7 mg/dL.
- Lipemia: No significant interference (± 10%) from lipemia up to 407 mg/dL measured as triglycerides.
ISE
No significant interference (± 10% / ± 3 mmol/L) up to the below levels
| | Hemolysis | Lipemia | Bilirubin |
| --- | --- | --- | --- |
| Na (Sodium) | 1000 mg/dL | 1084.5 mg/dL | 19.3 mg/dL |
| K (Potassium) | 1000 mg/dL | 1084.5 mg/dL | 21.7 mg/dL |
| CL (Chloride) | 900 mg/dL | 1084.5 mg/dL | 21.7 mg/dL |
A number of drugs and substances may affect the accuracy of these methods. See Young, D.S. et al, Clin. Chem. 21:1D (1975)
f. Assay cut-off:
Not Applicable
2. Comparison studies:
a. Method comparison with predicate device:
Studies using serum samples were performed between the candidate device and the predicate device yielded the following results:
Glucose
Number of samples pairs: 64
Range Tested: 18-490 (mg/dL)
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Correlation Coefficient: 0.9984
Slope: 0.987
Intercept: -0.8 (mg/dL)
Serum Sodium
Number of samples pairs: 63
Range of samples: 35 - ≈ 200(mmol/L)
Correlation Coefficient: 0.9994
Slope: 1.000
Intercept: -1.3 (mmol/L)
Serum Potassium
Number of samples pairs: 62
Range of samples: 1.3 - 9.7 (mmol/L)
Correlation Coefficient: 0.9997
Slope: 1.017
Intercept: -0.11(mmol/L)
Serum Chloride
Number of samples pairs: 63
Range of samples: ≈ 28-144 (mmol/L)
Correlation Coefficient: 0.9976
Slope: 0.926
Intercept: 6.0 (mmol/L)
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:
Glucose 70-105 mg/dL
Tietz, N.W., Fundamentals of Clinical Chemistry, 2nd ed., W.B. Saunders Co., Philadelphia, p.243, (1976)
Na (Sodium) 136 - 145 mmol/L
K (Potassium) 3.5 - 5.1 mmol/L
CL (Chloride) 98 - 107 mmol/L
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Tietz, textbook of Clinical Chemistry 2nd ed, Philadelphia, W.B. Saunders, (1994) pg: 1357, 1360 and 1370
N. Instrument Name:
LIASYS 450 SAT 450 Analyzer
O. System Descriptions:
1. Modes of Operation:
Random access analyzer
Does the applicant’s device contain the ability to transmit data to a computer, webserver, or mobile device?:
☑ Yes ☐ X or No
Does the applicant’s device transmit data to a computer, webserver, or mobile device using wireless transmission?:
☐ Yes ☐ or No ☑ X
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:
Worklist and barcode for positive sample identification
4. Specimen Sampling and Handling:
Four rotating racks with up to 15 sample positions each and four satellite stationary racks with up to 2 sample positions each.
5. Calibration:
The user can define the mathematical calculation for the test in execution (Factor, Standard, Point-to-Point, Quadratic, Cubic, Quadratic Five Point, Inverse Cubic, Log Logit, Cubic Log Logit)
6. Quality Control:
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The analyzer has a built in quality control program. The labeling recommends the use of two external quality control materials to be assayed according to government guidelines.
P. Other Supportive Instrument Performance Characteristics Data Not Covered In The "Performance Characteristics" Section above: None
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.