The BioDeviceLab GFAP ELISA Kit is a high-sensitivity, sandwich enzyme-linked immunosorbent assay designed for the quantitative measurement of glial fibrillary acidic protein (GFAP) in biological samples. GFAP is a key intermediate filament protein expressed by astrocytes and is widely used as a biomarker of central nervous system injury, neuroinflammation, and neurodegeneration. The assay combines excellent analytical sensitivity, high specificity, and a broad dynamic detection range, making it suitable for both routine laboratory use and advanced biodevice development workflows.
For Research Use Only (RUO).
Intended Use
This kit is intended for the quantitative determination of GFAP in:
• Serum
• Plasma
• Cerebrospinal fluid (CSF)
• Cell culture supernatants
Applications include neurological biomarker research, traumatic brain injury (TBI) studies, stroke research, neurodegeneration and neuroinflammation studies, organ-on-chip models, and biodevice validation and calibration.
Assay Principle
This assay employs a sandwich ELISA format:
• GFAP present in the sample binds to capture antibodies immobilized on a 96-well microplate.
• A biotinylated detection antibody specific to GFAP binds to the captured protein.
• Enzyme conjugate is added, followed by a chromogenic substrate (TMB).
• The enzymatic reaction generates a color signal measured at 450 nm.
• Absorbance is directly proportional to GFAP concentration in the sample.
Calibration Curve
• A calibration curve is generated using GFAP standards with known concentrations.
• Mean absorbance values are plotted against GFAP concentration on a semi-logarithmic scale.
• A four-parameter logistic (4PL) regression model is recommended for curve fitting.
• Sample concentrations are determined by interpolation from the standard curve.
• A new calibration curve should be generated for each assay run.
Analytical Performance
Dynamic Detection Range
• 0.1 – 40 ng/mL
This range enables accurate quantification of GFAP across physiologically and pathologically relevant concentrations.
Analytical Sensitivity
• Limit of Detection (LOD): ≤ 0.05 ng/mL
Precision
• Intra-assay CV: < 10%
• Inter-assay CV: < 12%
Selectivity & Specificity
The assay demonstrates high selectivity for GFAP with minimal cross-reactivity to other intermediate filament proteins. Representative cross-reactivity levels:
• GFAP: 100%
• Vimentin, Neurofilament proteins: < 1%
This high specificity ensures reliable GFAP quantification in complex biological matrices.
Kit Components
Each kit contains sufficient reagents for up to 96 determinations:
• Antibody-coated 96-well microplate
• GFAP standards (lyophilized, multiple concentrations)
• Biotinylated detection antibody
• Enzyme conjugate
• Assay buffer
• Wash buffer (10×)
• TMB substrate
• Stop solution
• Detailed assay protocol
Required Materials (Not Provided)
• Microplate reader capable of measuring absorbance at 450 nm
• Adjustable micropipettes and disposable tips
• Plate washer or manual washing equipment
• Plate shaker (recommended)
• Deionized or distilled water
Sample Collection & Handling
• Collect samples using standard laboratory procedures.
• Avoid repeated freeze–thaw cycles.
• Samples with concentrations above the highest standard should be diluted using assay buffer.
• Hemolyzed or lipemic samples may affect assay performance.
Quality Control
• Standards and controls should be included in each assay run.
• Duplicate measurements are recommended.
• Acceptance criteria should be established by the user according to the intended application.
BioDeviceLab applies quality-controlled reagent preparation and batch-to-batch consistency practices to support reproducibility and scalability for biodevice development.
Storage & Stability
• Store all components at 2–8 °C.
• Do not freeze reagents unless explicitly stated.
• Unopened kits are stable until the stated expiration date.
• Opened reagents should be handled according to protocol recommendations.
Limitations
• For research use only.
• Not intended for diagnostic or therapeutic procedures.
• Results should be interpreted within the context of experimental design and sample matrix.
Applications
• Neurological biomarker research
• Traumatic brain injury and stroke studies
• Neurodegeneration and neuroinflammation research
• Organ-on-chip and tissue models
• Biodevice calibration and benchmarking
Calibration Curve
