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Superresolution Chromatography

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Supposition - Peak shape can be described analytically (Gaussian, ... the convolution operator kernel is the point spread function of the chromatograph column ... – PowerPoint PPT presentation

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Title: Superresolution Chromatography


1
Superresolution Chromatography
  • E.L.Kosarev - P.L.Kapitza Institute for Physical
    Problems, RAS
  • http//www.kapitza.ras.ru/people/kosarev/home.htm
  • K.O.Muranov - N.M.Emanuel Institute of
    Biochemical Physics, RAS
  • http//kmuranov.euro.ru

2
Chromatographic analysis
  • Chromatography
  • Adsorption/Partition
  • Affinity
  • Ion-exchange
  • Size-exclusion

3
Peaks overlapping problem
  • Peaks overlapped form the joint peak

4
Imperfects of parametric deconvolution
  • Supposition - Peak shape can be described
    analytically (Gaussian, Lorenz, etc.)
  • Parametric deconvolution needs
  • peak position
  • peak wide
  • peak amplitude.
  • Unknown peak characteristic causes an error.
  • For instance, two peaks were identified
    instead of three

5
Imperfects of parametric deconvolution Peak
broadening and column voiding
  • The main factors
  • Diffusion
  • Non-specific interaction
  • System overdampening
  • (irreversible adsorption, filter
    contamination, plunger damage, etc.)

6
Problems
  • the shape of a real chromatography peak could not
    be approximated exactly with any function
  • the parametric technique cannot give reliable
    results

7
We suppose
the problem of overlapping peaks separation
could be accurately solved with the use of a
nonparametric method
8
Nonparametric method
  • The peak's shape is determined directly from the
    separation of an individual compound and can be
    called the point spread function of a
    chromatographic column
  • If the shapes of these peaks are the same
    throughout the entire working range of the
    device, then chromatogram is a distribution
    convolution with the peak of this shape
  • the point spread function includes all factors
    influenced the separation

9
Nonparametric method
  • The decomposing a complex spectrum into the same
    components is achieved by solving an integral
    convolution equation
  • For this equation
  • the input data is the chromatogram
  • the convolution operator kernel is the point
    spread function of the chromatograph column

10
Analysis of chromatography separation data with
the RECOVERY software package
  • Method
  • A protein mixture of known composition (bovine
    serum albumin monomer, dimer, and trimer) was
    separated by gel filtration for obtaining of
    heavily overlapping peaks.
  • The data was processed with the use of the
    RECOVERY software package
  • The result was compared with the finer separation
    data obtained with the use of the HPLC.

11
BSA chromatography and point spread function
determination
  • A - Elution profile of bovine serum albumin
    (BSA).
  • The blue arrow indicates unresolved peak
  • Red dashed lines mark the time interval when the
    BSA monomer fraction was collected
  • B - Elution profile of the collected fraction
  • Absence of unresolved peak
  • Strongly pronounced a peak asymmetry

12
Recovering of the chromatographic separation data
  • A - the source BSA chromatogram
  • B - point-spread function
  • C - recovering result of the chromatographic
    separation data with the RECOVERY software
    package.

13
The RECOVERY result vs. HPLC separation
  • A - data recovered with nonparametric approach
  • B - Elution profile of HPLC separation (TSK G2000
    SW Spherogel, 10mm X 600 mm, flowrate -
    0.5ml/min)
  • Both Recovery software package and HPLC found the
    BSA monomer, dimer and trimer in protein mixture
  • Recovery shows the more precision result

14
Peak width and whole column limit- under
investigation
  • Separation of the rat eye lens crystallins
    (magenta)
  • 10 kD - 1.5 MD limit
  • Peak width of the standard proteins (blue)

15
Conclusion
  • the proposed method fundamentally improves the
    quality of the chromatographic separation
  • RECOVERY software package for the gel filtration
    data significantly increased the resolution of
    this method and exceeded the quality of the
    separation obtained with the HPLC technique
  • new possibilities are achieved through reasonable
    processing of the measured data with no
    complication in the instrumentation
  • cost of the used instrument complex for gel
    filtration (1,000) is roughly 15-20 times lower
    than that for the HPLC setup (20, 000).
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