Lecture 6 Video 6
📡 Wide-Angle Scattering Analysis in SAXS
Porod Analysis & Kratky Analysis
This lecture discusses two closely related analytical approaches used in Small-Angle X-ray Scattering (SAXS):
- Porod Analysis
- Kratky Analysis (including the dimensionless Kratky plot)
Both are tools to interpret how proteins scatter at higher Q values, and both help us understand shape, compactness, and flexibility
🧱 1️⃣ Porod Analysis – What Happens at High Q?
🔹 The Core Idea
Porod showed that objects with:
- Sharp boundaries
- No internal structure
- Well-defined shapes (e.g., ideal spheres)
have scattering that follows a simple power law at sufficiently high Q:
I(Q) propto Q^{-4}
This is known as Porod’s Law
📉 What Does That Mean Physically?
At large Q (wide angles), the intensity decays with a slope of −4 on a log-log plot.
Key condition:
The Q value must be large relative to the size of the object.
So the law applies in the wide-angle region where fine structural details dominate.
🔢 Generalized Porod Law
More generally:
I(Q) propto Q^{-D}
Where D = Porod exponent
The exponent tells you about the shape of the object:
| Structure Type | Porod Exponent | Interpretation |
|---|---|---|
| Globular particle (sphere) | −4 | Compact object |
| Rod | −3 | 1D-like structure |
| Disk | −2 | 2D-like structure |
| Random coil polymer | ≈ −2 | Unfolded / IDP |
| Fully extended chain | −1 | Highly stretched polymer |
This connects scattering decay directly to geometry.
⚠️ Why Porod Analysis Is Rarely Used in Biological SAXS
Although very useful in material science, it is less common in protein SAXS because:
- At higher Q, internal structure contributes
- Hydration layer effects interfere
- Accurate fitting of exponent becomes difficult
Instead of directly fitting the Porod exponent, we use that decay behavior graphically in a different way…
➡️ This leads to Kratky analysis
📈 2️⃣ Kratky Plot – A Visual Tool for Flexibility
🔹 How It’s Constructed
A classic Kratky plot is:
Q^2 I(Q) quad ext{vs} quad Q
Why multiply by ( Q^2 )?
Because it amplifies differences between compact and unfolded states.
🧠 Understanding the Logic
Recall:
- Folded globular protein → ( I(Q) sim Q^{-4} )
- Unfolded chain → ( I(Q) sim Q^{-2} )
Now multiply by ( Q^2 ):
Case 1: Folded protein
Q^2 cdot Q^{-4} = Q^{-2}
→ Decays quickly → Peak and then falls down
Case 2: Unfolded protein
Q^2 cdot Q^{-2} = constant
→ Plateau
Case 3: Fully extended chain
Q^2 cdot Q^{-1} = Q
→ Keeps increasing
🔍 What You See on a Kratky Plot
| Behavior | Interpretation |
|---|---|
| Bell-shaped peak, then decay | Compact, folded |
| Plateau | Unfolded |
| Rising curve | Extended chain |
| Intermediate shape | Partially flexible |
This gives a quick qualitative readout of protein flexibility
⚠️ Limitation of the Classic Kratky Plot
The classic plot depends on:
- Particle size
- Concentration
- Absolute scaling
So two proteins with the same shape but different sizes can look very different.
That’s misleading.
📐 3️⃣ Dimensionless Kratky Plot – Removing Size Effects
To fix this, we normalize using:
- ( R_g ) (radius of gyration)
- ( I(0) ) (forward scattering)
We plot:
(qR_g)^2 cdot rac{I(Q)}{I(0)} quad ext{vs} quad qR_g
This:
- Removes size dependence
- Removes concentration scaling
- Makes shapes directly comparable
🟢 What a Perfect Globular Protein Looks Like
On a dimensionless Kratky plot:
- Peak height = 1.1
- Peak position = ( qR_g = sqrt{3} approx 1.73 )
- Curve returns to baseline around ( qR_g ≈ 4 )
- Symmetric bell-shaped curve
These are exact for a sphere.
If your protein matches this → it is globular and compact.
🟡 Signs of Flexibility
If the peak:
- Moves up
- Moves to the right
- Has a tail that rises instead of decays
→ Indicates increasing disorder or flexibility
🔵 Completely Unfolded Protein
Behavior:
- Rises
- Levels off between 1 and 2
Ideal random chain → plateau near 2
Disordered proteins → plateau between 1 and 2
🧪 Practical Considerations
Classic Kratky plot:
- Sensitive to buffer subtraction errors
- Sensitive to scaling
- Relatively insensitive to small aggregates
Dimensionless Kratky plot:
- Very sensitive to:
- Accurate Rg
- Accurate I(0)
- Proper Guinier analysis
- Gives semi-quantitative flexibility information
You cannot extract exact disorder percentages, but you can confidently say:
- “More flexible”
- “More extended”
- “More compact”
🧠 Big Picture Summary
Porod Analysis
- Uses high-Q decay slope
- Power law behavior
- Relates directly to geometry
- Rarely used directly in protein SAXS
Kratky Plot
- Graphical method
- Q²I(Q) vs Q
- Distinguishes folded vs unfolded
Dimensionless Kratky
- Normalized
- Removes size & concentration
- Allows comparison between proteins
- Gold standard for assessing flexibility
🎯 Why This Matters for Proteins
In protein science:
- Folded globular enzyme → sharp peak
- IDP → plateau
- Multidomain protein with flexible linkers → intermediate behavior
- Radiation damage or aggregation → distortions
The dimensionless Kratky plot is one of the fastest and most powerful visual diagnostics in SAXS.