BETVIA Antibody is a polyclonal antibody raised in rabbits that targets the Major pollen allergen Bet v 1-A protein from Betula pendula (European white birch) . The target protein (UniProt ID: P15494) may function as a general steroid carrier protein . The antibody is directly conjugated with Horseradish Peroxidase (HRP), enabling detection without secondary antibodies in immunoassays.
The BETVIA Antibody, HRP conjugated has been specifically validated for ELISA applications . The technical specifications indicate:
| Parameter | Details |
|---|---|
| Tested Applications | ELISA |
| Host Species | Rabbit |
| Species Reactivity | Betula pendula |
| Clonality | Polyclonal |
| Isotype | IgG |
| Purity | >95%, Protein G purified |
For optimal preservation of antibody activity, BETVIA Antibody should be stored at -20°C or -80°C upon receipt . The antibody is provided in a buffer containing 50% glycerol, 0.01M PBS, pH 7.4, and 0.03% Proclin 300 as a preservative . Researchers should:
Aliquot the antibody to avoid repeated freeze-thaw cycles
Minimize exposure to light to protect the HRP conjugate
Avoid buffers containing sodium azide, which irreversibly inhibits HRP activity
The method of HRP conjugation significantly impacts antibody performance. Research indicates that enhanced conjugation protocols incorporating a lyophilization step can dramatically improve sensitivity . This modified approach:
Increases the number of HRP molecules attached to each antibody
Creates a "poly-HRP" effect that amplifies signal generation
Improves dilution capacity (1:5000 vs 1:25 with conventional methods)
Shows statistically significant improvement (p<0.001) in detection limits
The lyophilization process reduces reaction volume without changing the amount of reactants, thereby increasing conjugation efficiency following collision theory principles .
When optimizing ELISA protocols with BETVIA Antibody, several methodological considerations are critical:
Antibody dilution: Determine optimal working dilution through titration experiments using both positive and negative controls
Blocking conditions: Optimize to reduce non-specific binding using compatible buffers
Substrate selection: Different HRP substrates offer varying levels of sensitivity
Washing protocols: Inadequate washing can lead to high background while excessive washing may reduce specific signal
Sample preparation: Ensure target antigen accessibility and minimize interfering substances
Buffer composition: HRP performs optimally at pH 6.0-6.5 for most substrates
When encountering problems with BETVIA Antibody in ELISA applications, implement this systematic troubleshooting approach:
Verify antibody integrity: Test with positive control recombinant Bet v 1-A protein
Check enzyme activity: HRP activity can diminish over time; use fresh substrate to verify
Optimize protein concentration: Recombinant Betula pendula Major pollen allergen Bet v 1-A protein (2-160AA) can serve as an appropriate positive control
Review blocking conditions: BSA (3 mg/ml) is often used as a stabilizer in HRP conjugates
Evaluate washing steps: Insufficient washing is a common cause of high background
Examine reagent compatibility: Ensure buffers don't contain HRP inhibitors like sodium azide
Check for endogenous peroxidase activity: Especially important in plant-derived samples
Direct HRP conjugation offers several comparative advantages and limitations:
Advantages:
Reduced protocol time and complexity
Fewer washing steps, minimizing sample loss
Elimination of secondary antibody cross-reactivity concerns
Direct quantitative relationship between antigen and signal
Limitations:
Less signal amplification compared to secondary antibody systems
Reduced flexibility for different detection methods
Higher cost per target
Possible alteration of antibody affinity during conjugation
Potentially shorter shelf-life
The polyclonal characteristics of BETVIA Antibody have significant methodological implications:
Strengths:
Recognition of multiple epitopes enhances detection sensitivity
Greater tolerance to minor changes in target protein structure
Robust performance across different sample preparations
Reduced susceptibility to false negatives from epitope masking
Considerations:
Batch-to-batch variation in epitope recognition profiles
Potential for increased cross-reactivity with similar epitopes
Less defined specificity compared to monoclonal alternatives
May require more stringent validation for quantitative applications
When evaluating BETVIA Antibody for specific experimental needs, examine these critical specifications:
A comprehensive validation strategy should include:
Positive controls: Using purified recombinant Bet v 1-A protein
Negative controls: Samples known not to express the target
Competitive inhibition: Pre-incubation with purified antigen should diminish signal
Comparative analysis: Test alongside alternative antibodies targeting the same protein
Cross-reactivity assessment: Evaluate potential cross-reaction with similar proteins
Epitope mapping: Confirm interaction with the expected protein region
Dilution linearity: Serial dilutions should show proportional signal reduction
To maximize detection sensitivity with BETVIA Antibody, researchers can implement these methodological refinements:
Substrate selection: Enhanced chemiluminescent (ECL) substrates can provide 10-100× greater sensitivity than chromogenic alternatives
Signal amplification: Tyramide signal amplification (TSA) can further enhance HRP signal
Optimized conjugation: Consider custom conjugation using lyophilization methods as demonstrated in research
Incubation conditions: Extended incubation at lower temperatures can improve specific binding
Sample preparation: Optimize extraction buffers to maximize target protein availability
Blocking optimization: Test different blocking reagents to minimize background while preserving specific signal
Data analysis: Implement curve-fitting algorithms appropriate for the detection range
Buffer composition significantly impacts HRP-conjugated antibody performance through several mechanisms:
pH considerations: HRP exhibits optimal activity at pH 6.0-6.5, with significant activity loss outside pH 5-8
Stabilizers: BSA (3 mg/ml) helps prevent non-specific binding and stabilizes enzyme activity
Preservatives: Proclin 300 (0.03%) preserves antibody without inhibiting HRP, unlike sodium azide
Cryoprotectants: Glycerol (50%) prevents freeze damage during storage
Salt concentration: Affects antibody binding kinetics and non-specific interactions
Metal ions: Some metals can inhibit HRP activity or enhance non-specific binding
Detergents: Low concentrations may reduce aggregation but can interfere with some detection methods
In comparative analyses, allergen-specific antibodies demonstrate varying performance characteristics:
BETVIA Antibody detects Major pollen allergen Bet v 1-A from birch, a key environmental allergen
The high purity (>95%, Protein G purified) provides exceptional specificity for allergen research
HRP conjugation enables direct detection without secondary antibody requirements, reducing cross-reactivity concerns in allergen studies
The stable buffer formulation (50% Glycerol, 0.01M PBS, pH 7.4, 0.03% Proclin 300) provides consistent performance across different research conditions
Recent advancements in HRP-antibody technology include:
Modified conjugation protocols: Lyophilization steps significantly improve sensitivity by increasing HRP density per antibody
Enhanced substrates: New-generation chemiluminescent substrates provide substantially improved sensitivity
Poly-HRP systems: Multiple HRP molecules per antibody dramatically amplify signal generation
Nanoparticle conjugation: Combining HRP-antibodies with nanoparticle platforms enhances detection limits
Microfluidic applications: Integration of HRP-conjugated antibodies in microfluidic devices enables rapid, sensitive detection
Automated analysis systems: Computer-assisted image analysis improves quantitative capabilities
When adapting BETVIA Antibody protocols for diverse sample types, researchers should methodically address:
Matrix effects: Different sample matrices may contain components that interfere with antibody binding or HRP activity
Extraction protocols: Optimize protein extraction to maximize target availability while minimizing interfering compounds
Endogenous peroxidase activity: Plant samples particularly may contain endogenous peroxidases requiring specific blocking steps
Sample dilution series: Determine optimal sample concentration through systematic dilution studies
Blocking optimization: Different sample types may require adjusted blocking protocols to minimize background
Controls: Include matrix-matched controls that accurately represent the experimental samples
Validation: Confirm antibody performance in each specific sample type before proceeding with experimental studies