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Optimising DLS Measurements for Protein Characterisation

Jul 14 2020 Read 831 Times

Author: Carlo Dessy and Dr. Daniel Seeman on behalf of Testa Analytical Solutions e.K

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Many common globular proteins are very small in hydrodynamic size, with monomers rarely greater than 10 nm. Protein aggregates can easily reach large sizes, on the order of several hundred nm or larger, which complicate this already challenging measurement. In this scenario scattering from aggregated protein easily dominates the signal of free, or monomeric protein. This principle is demonstrated with a pharmaceutically relevant protein, monoclonal antibody, mAb, studied in both its monomeric and aggregated states.
Dynamic Light Scattering (DLS) has become a major asset in the lab toolbox for the characterisation of colloids. Ease of use, fast availability of results within minutes and a relatively low sample volume requirements, define this technique as best and overcome any disadvantage we might want to consider. Best of all, DLS will supply, without the need of a calibration, not only size of the sample under investigation, but also, within certain limitations, size distribution information. This is achieved without need of prior separation of any kind, mechanical or chemical. As such, application of DLS is almost unlimited, ranging from polymer solutions, thus dissolved systems and sizes on the low nanometer range, up to particle dispersion with sizes ranging up to 10 µm.
However, in order to extract the information available from a DLS measurement, and most of all to assure the extracted values are representative for the given sample, we must take a step back and understand what DLS really measures and how, out of this primary information, final results of size and size distributions are calculated.

The fundamental principle of DLS and all calculations following the measurement itself, is the determination of the translational diffusion coefficient of particles in suspension. The measurement is performed by directing a monochromatic beam of laser light through the sample in which the suspended particles undergo random thermal motion according to Brownian diffusion. The speed of this Brownian motion is function of size; large particles will show slow speed while smaller ones will move faster. Measurement of speed of movement, or translational diffusion, is achieved by determination of the autocorrelation function of the small fluctuations in intensity of light scattered by the sample at a given detection angle.
DLS is a well know and powerful technique for the size determination of nanoparticles and proteins, its value has been demonstrated in innumerable publications. Proteins, however, still represent a challenge by themselves. Many common globular proteins are very small in hydrodynamic size, with monomers rarely greater than 10 nm, and many approaching 1 nm or smaller on the low end. Size determination of such small particles is by itself difficult as diffusion coefficient, which is the basis for the calculation of hydrodynamic size, is typically very high thus requiring a sophisticated high speed correlator with appropriately spaced delays for determination of the autocorrelation function for such rapidly diffusing particles. Protein aggregates can easily reach large sizes, on the order of several hundred nm or larger, which complicate this already challenging measurement. This is demonstrated clearly with monoclonal antibody (mAb). These results are contrasted with those obtained from serum albumin (BSA).

Methods.

DLS measurements were made on a continuous multi-angle goniometer, the BI200SM, using a red, λo = 640 nm, 40 mW solid state laser and an APDx detector, with a USB TurboCorr correlation card. A correlator layout was selected such that large diffusion coefficients, of the type see for small, rapidly diffusing, protein-sized particles, can be effectively resolved. These correspond to extremely small τ values, on the order of less than 100 ns.
For a known scattering angle, θ, and refractive index, n, the scattering vector q is calculated from the following expression:
A given correlation function C(τ) is deconvoluted into either a single-exponential, stretched-exponential, or sum of exponentials. The result of this deconvolution is a characteristic decay rate, G, and typically also a polydispersity index (PDI). G is related to the translational diffusion coefficient (Dt) as follows:

The relationship between Dt, the primary quantity measured in DLS, and hydrodynamic particle size, dh, is inverse, and is given by the Stokes-Einstein Equation:
Where the Boltzmann constant (Kb), Temperature (T), and bulk viscosity (η) are all known values.

Results & Discussion.

Dedicated high-speed correlator channels make it viable to measure such rapidly diffusing, small proteins. For a typical medium-sized protein, decay rates (Г), of as low as several hundred s-1, and as high as 50,000 s-1 may be observed, depending on scattering angle. As shown for serum albumin (Figure 1), G depends linearly on q2, for a particle of a given size. When measurements are made at a series of appropriately spaced scattering angles, commonly between about (θ = 10, 155 o), the slope of this G vs q2 plot is used to determine an average Dt. So long as this dependence is linear, it is only necessary to measure at a single-angle, and particle size can be determined from an arithmetic rearrangement of the basic scattering equation, where the average decay rate, G, or a distribution of G’s, can be obtained from direct processing of a correlation function.  
Figure 1. DLS results for serum albumin monomer as a function of θ. Effective dh = 7.5 nm.
For this G vs q2 dependence to be useful, a minimum of 4-5 scattering angles is required.
Common DLS configurations, as seen on discrete-angle benchtop instruments, tend to use backscatter, right-angle, and forward-scatter (θ = 173, 90, and 15 o). Generally, backscatter is useful for measuring samples in which there is a mixture of large and small particles, since larger angles minimise the d6 bias towards larger particles, which would otherwise obscure scattering from smaller particles. In contrast, very low-angles, typically θ << 30o, are highly sensitive to large particles, especially those >> 1000 nm.  While forward-scatter is highly sensitive to presence of aggregates, backscatter is more useful for accurately determining the size of any small particles that may coexist with aggregated material. As shown in Figure 2, the scattering of BSA could easily be mistaken for that of pure monomer, when only examining angles of 90o or higher. The existence of second mode only becomes obvious at the lowest angle. This also accounts for the deviation from linearity at low angles, or small q2, as seen in Figure 1. As we recall, a shift towards slower diffusion, or smaller G, indicates that larger, slow moving particles must coexist with monomeric protein.

As shown in Figure 3, stable monomeric monoclonal antibody can be measured effectively at a single scattering angle, θ = 90o (Figure 3). This yields an effective diameter of around 12 nm, and a low, near zero, polydispersity. The correlation function (Figure 3: main panel) is best described by a single exponential decay, and no aggregate is detected.  
In contrast, chemically stressed antibody (Figure 4) cannot be described by a single decay, nor can it be meaningfully described as a continuous distribution of particle sizes. It is clear that, in this case, this sample contains multiple discrete, and well-defined populations (Figure 4: lower panel). Since these G’s span multiple orders of magnitude in s-1, we are able to resolve them only by carefully selecting a correlator layout that covers a wide range of delay times (high, medium and low -speed channels).  

It is also apparent that our choice of scattering angle (Figure 5) benefits us as well, since these rates are only fully resolvable as we approach higher angles. This is in addition to our I(q,τ) ~ d6 dependence, alluded to above. 

Conclusion

The above described method and technique clearly show how optimisation improves DLS results particularly for challenging applications such as proteins mostly are. The flexibility of a goniometer system coupled with an easily configurable correlator, offer the best possible platform for this type of investigation. Such systems provide a proven pathway to extraction of valuable information out of a complex sample consisting of native and aggregated proteins.

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