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HIS XT Probe: Advanced His-Tag Capture for Kinetics, Quantitation, and Epitope Binning

Download our new Anti-His (HIS) XT Probes Application Note and Product Note

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Why Download These?
Struggling with baseline drift in His-tag assays?

The HIS XT Application Note shows you how AI-designed NovoBody™ probes deliver:
✓ 58% reduction in baseline drift
✓ 4x higher signal resolution
✓ Cleaner kinetics data for weak binders
✓ Extended probe lifetime (10+ regeneration cycles)
✓ Zero Fc interference

Inside you’ll find:
– Performance comparison data
– Application protocols (kinetics, quantitation, epitope binning)
– Customer validation results
– Technical specifications

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HIS XT Biosensors for His-tagged Protein Analysis

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BLI Basics – What is BLI and How Does it Work?

Understanding how proteins interact is fundamental to biologics development. Biolayer interferometry (BLI) makes these invisible interactions visible with real-time, precise visualization of binding interactions.

What is BLI?

Biolayer interferometry (BLI) is an optical, label-free technique that measures real-time binding at a sensor surface. BLI captures binding events as they happen, so it can measure both the rates and extent of molecular interactions, giving it broad appeal for quantitative kinetic and affinity characterization throughout biologics discovery and development.

BLI works by analyzing interference patterns created when white light passes through specialized biosensors. Here’s how the technology works:

The instrument shines white light through a fiber optic cable and into a glass biosensor. The biosensor tip is functionalized with capture molecules that bind target proteins of interest when placed into solution. As proteins bind and the layer of bound proteins grows, the instrument detects that change in distance through optical interference between two reflection points: a reference layer near the sensor surface and the outer edge of the protein layer.

A spectrometer continuously monitors these reflections. After establishing a baseline measurement, the system tracks how the interference pattern shifts across the entire visible spectrum as the protein layer changes thickness. The instrument plots these changes on a graph called a sensorgram (a real-time binding curve), with time on the X-axis and “nm shift,” the measurable change in interference pattern, on the Y-axis.

Watch how BLI translates molecular binding into actionable data


Gator Bio’s BLI Platform

Gator Bio’s BLI instruments allow users to analyze samples in standard 96-well or 384-well microplate formats, measuring up to 32 samples simultaneously. The plate-based design enables the instrument to move biosensors sequentially from well to well, capturing binding data at each step of your assay protocol. This high-throughput capability means you can screen hundreds of samples per day while maintaining the kinetic precision needed for confident decision-making.

Explore Gator Bio BLI Instruments


How BLI Measures Binding

BLI transforms binding responses into quantitative data through two primary approaches: measuring binding kinetics or measuring total binding response.

Quantitation Workflows

For concentration measurements, BLI monitors the initial rate of binding (nm shift per second), which is directly proportional to both the association rate constant (kon) and analyte concentration. This relationship creates a concentration-dependent signal: higher concentrations produce steeper initial slopes.

To quantify unknown samples, you run a series of known standard concentrations to generate a calibration curve, then compare your unknowns against this standard curve. Because the analysis focuses on initial binding rates, these quantitation experiments are remarkably fast, often finished in less than 2 minutes per sample.

Rapid quantitation through initial rate analysis delivers results in under 2 minutes per sample

Kinetics Workflows
For kinetic characterization, BLI provides real-time measurement of both binding (association) and unbinding (dissociation) between biomolecule pairs. This allows you to determine three critical parameters through curve fitting: – kon (association rate constant) – how fast molecules bind – koff (dissociation rate constant) – how fast molecules unbind – KD (equilibrium dissociation constant) – overall binding affinity.

For interactions that reach equilibrium quickly, you can use endpoint binding measurements to determine KD . The minimal setup time and multi-channel format make BLI particularly attractive for high-throughput screening campaigns where you need to evaluate dozens or hundreds of candidates.

Real-time kinetics reveal the complete binding profile—from initial association through full dissociation



Key Terms in BLI

Understanding BLI terminology helps you read and understand BLI literature:

  • Capture Molecule: The reagent coated on the probe surface that is specifically designed to capture the first molecule of the binding pair
  • Ligand: The first molecule of the binding pair captured onto the biosensor surface
  • Analyte: The second molecule that binds to the immobilized ligand (your molecule of interest)
  • Baseline: A buffer-only step that establishes the sensor’s stable starting point, allowing you to distinguish meaningful binding signal from instrument drift. A second baseline can also help to verify ligand binding to the biosensor.
  • Loading: The kinetics assay step where biosensors are exposed to ligand-containing solution, allowing ligand to immobilize on the sensor surface
  • Association: The kinetics assay step where analyte-containing solution contacts the ligand-loaded biosensor, enabling binding to occur
  • Dissociation: The kinetics assay step where the biosensor returns to buffer-only conditions, allowing bound analyte to release from the sensor

Assay Design Considerations

Successful BLI experiments require a thoughtful experimental design. Here are the most critical considerations:

Buffer Matching is Critical

BLI is an optical technique that responds to changes in the refractive index. Variations in buffer composition between assay steps can create signal artifacts that overwhelm your binding data. For optimal performance:

  • Maintain consistent buffer conditions across all assay steps
  • Watch for refractive index shifts from pH changes, DMSO, glycerol, sucrose, and other solvents
  • Remember that glycerol isn’t volatile and may remain in lyophilized proteins
  • For quantitation assays, pre-soak biosensors in buffer similar to your samples to minimize non-specific signal.
Choosing the Right Immobilization Strategy

Kinetics assays require immobilizing your ligand to the biosensor without blocking the analyte binding site. The most common strategies target conserved domains or protein tags:

Common capture approaches:

  • Fc-binding biosensors: Protein A, Anti-Mouse Fc XT, Anti-Human Fc for antibodies
  • Tag-based biosensors: Anti-His, Ni-NTA for His-tagged proteins; Strep-Tactin XT for twin-Strep-tagged proteins
  • Biotin-Streptavidin: non-reversible, Streptavidin biosensors for biotinylated proteins (note: use a biotinylation protocol that limits the number of biotins per molecule – lysines are common in binding domains, and biotinylation can dramatically reduce analyte binding efficacy)

Fc-binding and Tag-based biosensors offer the advantage of regeneration: a simple low pH wash typically removes bound analyte, allowing biosensor reuse and reduced costs.

Browse Gator Bio Biosensors

Optimizing Analyte Concentration Range

Proper concentration selection is essential for accurate kinetic measurements. Your concentration series should:

  • Upper range: Highest concentrations should show clear curve saturation (beginning to plateau)
  • Lower range: Lowest concentrations should remain well below half-maximal binding
  • Spacing: Use serial dilutions (typically 2-fold or 3-fold) to cover 2-3 orders of magnitude
Concentration too high
Concentration too low
Optimal concentration

Simulation of 1:1 binding interaction using Gator software’s built-in simulation feature for a 1 nM KD interaction, using 1 nm of response to represent 100% saturation of the available binding space in the simulation. Presented are several concentration series, each with a two-fold serial dilution of analyte. The sample labeled “too high”  begins at 1000 nM, the “too low” sample begins at 2 nM, and the “optimal” sample begins at 50 nM.

Minimize Ligand Loading

A common mistake is overloading the ligand on the biosensor. More isn’t better—excessive ligand density can cause:

  • Avidity effects that complicate analysis
  • Reduced biosensor regeneration efficiency

Use the minimum ligand loading level that still provides clear analyte binding signal. This typically means aiming for 0.5-1.0 nm loading signal for most antibody-based assays.


Where BLI Fits in Your Analytical Toolkit

Transitioning from ELISA

Many laboratories upgrade from ELISA to BLI because real-time binding visualization provides complete kinetic context that endpoint assays simply can’t match. Instead of a single data point, you see the entire binding and unbinding process unfold. This makes troubleshooting straightforward; if something isn’t working, the sensorgram tells you exactly where the problem lies (poor binding, rapid dissociation, non-specific interactions, buffer effects).

Key advantages over ELISA: – Real-time kinetic information, not just endpoint binding – No washing steps required – Label-free detection – Direct observation of binding specificity – 10-100x faster assay development

Complementing SPR Workflows

SPR laboratories often employ BLI for rapid candidate screening and prioritization. While SPR excels at detailed characterization of a few high-priority candidates, BLI’s multi-channel format enables you to quickly evaluate hundreds of candidates and identify the top 10-20 for deeper analysis.

Why labs add BLI alongside SPR:

  • Screen hundreds of samples per day (even base model instruments)
  • Wider variety of off-the-shelf biosensors for diverse project types
  • Plate-based format simplifies automation integration
  • Faster setup reduces time from sample to data
  • Lower cost per sample for routine screening
Quality Control and Bioprocessing Applications

BLI has become indispensable in manufacturing settings, delivering:

  • Rapid quantitation: Real-time titer measurements that drive process decisions
  • Potency assays: Activity measurements that meet regulatory requirements
  • Clone selection: High-throughput screening during cell line development
  • Formulation stability: Rapid assessment of protein aggregation and degradation

In quality control environments, BLI’s speed and reproducibility make it ideal for routine lot release testing and in-process monitoring.

Explore BLI in Manufacturing


Quick Comparison: Gator BLI vs Other Binding Technologies

FeatureGator Bio BLIELISASPR
Real-Time Kinetics✓ Yes✗ No✓ Yes
Label-Free✓ Yes✗ No✓ Yes
ThroughputHigh (32 Channels)Medium-HighLow (1-8 channels)
Setup Time< 15 mins2-4 Hours30-60 min
Automation-Ready✓ Plate-Based✓ Plate-BasedLimited
Biosensor VarietyVery HighN/AMedium
Sample ConsumptionLow (μL)Medium (μL-mL)Very low (μL)
Best ForScreening & QCEndpoint AssaysDetailed characterization


BLI: The Workhorse of Bioanalytical Labs

BLI has earned its place as the workhorse platform in bioanalytical laboratories because it delivers the binding and quantitation data you need with unmatched speed and versatility. Whether you’re discovering new therapeutics, optimizing manufacturing processes, or ensuring product quality, BLI provides the analytical foundation for confident decision-making. 


Getting Started with BLI

Ready to implement BLI in your laboratory? Here’s how to get started:

  1. Define your application: Determine whether you need quantitation, kinetics, or both
  2. Select your biosensor: Choose the immobilization strategy that fits your molecules
  3. Optimize your assay: Work with our applications team to dial in conditions
  4. Scale up: Implement automation for high-throughput workflows

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What is Biolayer Interferometry? BLI from Gator Bio