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Contents About Avid Nano Dynamic Light Scattering Products Accessories About Avid Nano Established in July 2009 Based in High Wycombe, UK Design & manufacture novel DLS DYNAMIC LIGHT SCATTERING Dynamic Light


  1. Contents  About Avid Nano  Dynamic Light Scattering  Products  Accessories

  2. About Avid Nano  Established in July 2009  Based in High Wycombe, UK  Design & manufacture novel DLS

  3. DYNAMIC LIGHT SCATTERING

  4. Dynamic Light Scattering  Observe time dependent intensity fluctuations of light to directly measure... – Hydrodynamic radius of molecules/particles in solution / suspension • Intensity size distribution • Mass size distribution • Aggregation • Molecular weight can be estimated

  5. Ø40µm Let's describe this visually Scattering Volume

  6. I time Scattering Volume

  7. I time Scattering Volume

  8. I time Scattering Volume

  9. I time Scattering Volume

  10. I time Scattering Volume

  11.  Looks like random I noise, but...  ...small sizes diffuse more quickly than large sizes, so... time  ...rate of change tells us the mean particle size

  12. Dynamic Light Scattering  Intensity pattern produces a correlation function and diffusion Correlation function gives diffusion constant, Dt Amplitude, G 2 constant, Dt.  Calculate mean hydrodynamic radius, (Rh) and polydispersity index (PdI) Log 10 time (µs) Typical measurement time, 30s

  13. Dynamic Light Scattering We can use the 'Stokes- Einstein' equation to easily calculate the average hydrodynamic radius, Rh KT Rh = 6  Dt

  14. Size Distributions By comparing the measured data 1.2  to a series of artificial correlation Measured data data we can produce a size 1 distribution Artificial data 0.8 0.6 Intensity 0.4 0.2 0 0 0 0.01 0.1 1 10 100 1000 Size (nm)

  15. Molecular Weight Model To estimate molecular  1000.0 Molecular Weight Estimator weight, we use a Common Gobular Proteins globular model derived from a curve of common proteins 100.0 MW (kDa) f(x) = 2.75 x^2.49 2.49 2.75  r Mw ~ 10.0 1.0 1.0 10.0 Monomer Radius (nm)

  16. Molecular Weight Model The model works well for  Molecule Size Est. MW MW many proteins (nm) (kDa) (kDa) Insulin (pH 2) 1.4 5.8 5.8 Lysozyme 2.0 14.5 14.7 Insulin (pH 7) 2.7 32.6 34.2 BSA 3.6 67.0 66.8 Hexokinase 4.3 104 102

  17. Typical Results Intensity Mass Distribution Distribution Mean Size and Experiment name Polydispersity Distribution Ave. Correlation Table of Results Function

  18. Example Data Highly monodisperse protein solution producing good quality crystals Narrow intensity peak Low polydispersity index Strong light scattering intensity from high concentration sample Mean radius 3.1nm used for molecular weight estimate (42kDa actual) Mean radius Mw Estimate

  19. Example Data Mixture of certified standards High PdI indicates broad or multi- mode distribution Intensity peaks confirm bi-modal distribution. Light scatters proportionally to Rh^6 Mass distribution indicates the amount of 10nm material much greater than 100nm Mean radius. High Pd. Index

  20. Example Data Overlaid Distributions Examples of mono-modal and multi-modal data. In each example we see normal variability caused by scattering intensity variation The size variability very low in main protein peak (7.1nm)

  21. Dynamic Light Scattering  Primary data – Mean hydrodynamic radius – Polydispersity index  Secondary Data – Intensity size distribution – Mass size distribution – Molecular weight estimate

  22. Applications  Protein purification  Aggregation  Quick molecular weight estimate  Micelle formation  Thermal denaturing  Colloids and nano-particles

  23. Key Strengths  Speed – especially with disposable cuvettes  Incredible sensitivity to aggregation  Requires little a priori knowledge  Absolute measurement - no calibration  Maintenance free

  24. Products

  25. W130i  Designed for the protein specialist. – Unbeatable sensitivity (0.1mg/ml, 15kDa protein) – 5µl disposable cuvette (standard) – Temperature control (0-90°C) – Compatible with standard cuvettes

  26. BladeCell Disposable Cuvette

  27. BladeCell Disposable Cuvette DLS has reputation for being very useful but a bit tedious at  times – Expensive quartz cuvettes – Cleaning required – Cross-contamination issues

  28. BladeCell Disposable Cuvette DLS has reputation for being very useful but a bit tedious at  times – Expensive quartz cuvettes – Cleaning required – Cross-contamination issues BladeCell cuvette solves problem  – Only 5µl – No cleaning or reference m'ments – much faster than quartz – Full sample recovery – Zero cross-contamination

  29. Future Developments

  30. SMART-NANO S ensitive M e A su R emen T , detection, and identification of engineered NANO particles in complex matrices Commercializing hyper-sensitive DLS based on known light scattering techniques. Up to 10x sensitivity increase over current DLS performance. Suited to measurements at very low concentrations and for very small molecules Final negotiations September 2011. 2 year project commencing end 2011.

  31. Thank you for watching

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