Technical Note

The SPR Sensorgram Explained

System: P4SPR Topics: Sensorgram Phases · Kinetics · Data Quality
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What Is a Sensorgram?

An SPR sensorgram is a plot of SPR response versus time. It reveals whether a binding event occurs between an analyte and a ligand, whether the binding is specific, and contains kinetic (kon, koff), affinity (KD), and concentration information. The analyte is the molecule being investigated; the ligand is the recognition element immobilized on the sensor surface.

Overview of SPR

Surface plasmon resonance is an optical, surface-sensitive technique used for screening, characterization, and bio- and chemical sensing. In a typical experiment, the interaction between an analyte and a ligand is characterized by kinetic and affinity data. Ligands are immobilized on the sensor surface, which is exposed to a flowing solution of analytes in a microfluidic channel.

Plane-polarized light shines through a glass prism coated with a thin gold film under total internal reflection conditions (Kretschmann configuration). Surface plasmons — charged oscillations at the metal surface — create an evanescent field (~200 nm) extending into the sample. When analytes bind to surface-immobilized ligands, the refractive index changes, shifting the resonance wavelength. This shift is detected in real time.

The Five Phases of a Sensorgram

Time SPR Response (RU) 1. BASELINE 2. ASSOCIATION 3. STEADY-STATE 4. DISSOCIATION 5. REGENERATION kon equilibrium koff glycine wash KD = koff / kon
A typical kinetic sensorgram with all five phases annotated. On/off rates (kon, koff) are extracted from the association and dissociation phases; KD = koff / kon.

1. Baseline

Running buffer conditions the surface and establishes a flat reference signal. Any drift, injection spike, or high buffer response indicates the system should be checked. Standard buffers include PBS and HEPES-NaCl.

2. Association

Analytes begin binding to immobilized ligands, producing a sharp rise in SPR signal. Ideally a single exponential curve. If the curve is linear, mass transport limitation may dominate over binding kinetics.

3. Steady-State

The net rate of bound analytes is zero — association and dissociation are balanced. This is not necessarily saturation (all ligands occupied), but an equilibrium response.

4. Dissociation

Analyte solution is replaced by wash buffer, causing specific interactions to break. Ideally a single exponential decay. Mass transport limitation or other factors can affect the shape.

5. Regeneration

A low-pH buffer (e.g., glycine) resets the baseline. A steady signal confirms the surface is free of bound analytes, ligands are intact, and the sensor is ready for the next measurement cycle.

P4SPR: Steady-State Measurements

The P4SPR uses wavelength interrogation — detecting the shift in the absorption band minimum (Δλ) as binding changes the refractive index near the surface. The resulting sensorgram plots Δλ versus time.

In a typical P4SPR experiment, increasing analyte concentrations are manually injected in a single cycle with no regeneration between injections. This produces a continuous series of association steps from lowest to highest concentration. The P4SPR does not flow buffer at a fixed rate, so there is typically no dissociation curve between injections. KD is determined by fitting a binding curve model (SPR response vs. concentration) at equilibrium.

Key concept: The P4SPR measures equilibrium binding as a function of analyte concentration. KD is extracted from the concentration-response curve at steady state, rather than from association/dissociation kinetics.

Regeneration (e.g., with glycine) is optional and applies when the dissociation constant is in the higher µM or mM range. For tight binders, a single injection series without regeneration is typical.

Sensorgram Shapes

A. Binding vs. No Binding binding no binding B. Strong vs. Weak strong weak C. Fast vs. Slow fast slow
Common sensorgram shapes. (A) Binding produces an SPR response; no binding yields a flat line. (B) Stronger interactions produce larger responses. (C) Fast on/off rates produce sharp curves; slow rates produce gradual slopes (which may reflect mass transport limitation).

Concentration Optimization

Analyte concentrations must be optimized to obtain meaningful sensorgrams. Concentrations that are all too high will saturate the surface immediately; concentrations that are all too low will produce negligible signal. The ideal range spans approximately 0.1–10× the expected KD, producing well-separated curves that enable accurate fitting.

High Quality vs. Poor Quality Sensorgrams

Feature Poor Quality High Quality
Ligand densityHighLow
BaselineDriftFlat
Association shapeLinear (mass transport limited)Single exponential with curvature
SaturationNot reachedDemonstrated by multiple analyte concentrations
Concentration rangeNarrowWide (0.1–10× KD)
RI jumps and spikesPresentNegligible jumps, no spikes
Dissociation decayShortLong
ReplicatesAbsent or non-superimposablePresent and superimposable
Important: If the sensorgram shows poor quality features, do not fit it with a complex model — the results will not be meaningful. Instead, modify the immobilization chemistry, surface density, regeneration conditions, analyte concentration range, or flow rate to improve data quality.

From SPR Signal to Sensorgram on the P4SPR

The P4SPR workflow for generating a sensorgram:

  1. The detector measures the change in wavelength (Δλ) of the absorption band minimum as analyte binds to the surface.
  2. Raw data is saved as Δλ over time.
  3. The software plots Δλ versus time to produce the sensorgram.
  4. Kinetic and affinity data are calculated by fitting the sensorgram into a suitable binding model.

Conclusion

SPR sensorgrams are the primary data output of any SPR experiment. Understanding the five phases, recognizing quality features, and optimizing analyte concentrations are essential for producing meaningful kinetic and affinity data. The P4SPR provides real-time wavelength-mode data acquisition suited for both steady-state affinity measurements and, with regeneration, multi-cycle kinetic analysis.

Related Resources

References

  1. A. Marquart, "SPRpages", 2006–2020.
  2. R.B.M. Schasfoort, "Introduction to Surface Plasmon Resonance," in Handbook of Surface Plasmon Resonance (2nd ed.), 2017, pp. 1–26.
  3. R.L. Rich and D.G. Myszka, "Survey of the year 2007 commercial optical biosensor literature," J. Mol. Recognit., 21, 355–400 (2008).

TN-03 — Affinité Instruments Technical Note Series

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