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    By: Parvaneh Ebrahimi

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    Introduction1

    Rank Annihilation Correction (RAC)2

    Correction Function3

    Optimization Routines4

    Experiments & Results5

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    Introduction1

    Rank Annihilation Correction (RAC)2

    Correction Function3

    Optimization Routines4

    Experiments & Results5

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    Chromatography columnaging

    Temperature fluctuation

    Pressure fluctuation

    Shifts inShifts in

    retention timeretention time

    dimensiondimension

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    According to BeerLamberts law, each matrix can

    bedecomposed into the product of the matrices CA

    andCB of concentration profiles and the matrix A of molarabsorption spectra.

    YA = CA * A and YB = CB * A

    CA & CB have dimensions: (nt m)

    A has the dimension: (m nl)

    YA & YB have dimensions: (nt nl)

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    The inconsistency which was explained must

    be corrected and the goal is to rectify the

    inconsistency of the retention times

    The idea of the method to solve this is

    reducing the rank of [YA,YB] from 2m to m.

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    First:

    Correction function is foundand

    correction I done

    the time vector t at which the

    spectraof YB were measured is

    corrected by anappropriate

    function, defined by a set of

    parameters:

    t new = f (t original, parameters)

    Then:

    Interpolation is done so that time

    vectors in YA* & YB*are matched

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    Introduction1

    Rank Annihilation Correction (RAC)2

    Correction Function3

    Optimization Routines4

    Experiments & Results5

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    Often thereareno theoretically defined functions for the

    appropriatecorrectionand therefore polynomials ofany

    degreeareobvious choices. Logarithmicorexponential

    distortion

    sare

    othe

    r po

    ssibilities:

    Thecorrection functiondiscussed in this

    paper is a polynomial ofdegreeone:

    t new = p0 +p1t original

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    Grid search is done to find theoptimum parameters.

    [Y*A,Y*B]

    All P0 interval is scanned

    For first value in P1 scan interval

    reconstructed [YA,YB]:

    With fixed P1, for every P0:

    For every P1 value:

    P1 scan interval

    t new = p0 +p1t original

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    Theconcatenated matrix is decomposedaccording to the

    singular valuedecomposition:

    is calculated fordifferent numbers of retained vectors in

    U, S, and V , and its percent residual variance is

    calculated forall numbers ofeigenvectors and

    eigenvalues retained

    [Y*A,Y*B]=USV + R

    R = [Y*A,Y*B] [U(:, i) * S(1:i,1:i) * V(:, i)]

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    The logarithm of the percent residual varianceagainst P0

    retaining oneup to six eigenvectors .There is adistinct

    minimum for the inclusionof fourand moreeigenvectors

    at the parameter valueof 0.149

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    Correlation between parameters can be very high. Generally, mean

    centering of retention time vector will reduce this correlation, dramatically.

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    Introduction1

    Rank Annihilation Correction (RAC)2

    Correction Function3

    Optimization Routines4

    Experiments & Results5

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    Insteadof inspectionof graphical results suchas those

    displayed in previous slides, any non-linearoptimization

    routinecan beused to localize theoptimum. This is

    particu

    larly imp

    ortan

    t forca

    ses wit

    hmo

    re

    than

    two

    parameters, as thesecannot be represented graphically.

    Algorithms:

    Algorithms range from the simpleSimplex algorithm tomore sophisticated gradient techniques. Weused the

    MATLAB fminsearch function, which is anadvanced

    simplex algorithm.

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    Initial guesses and/or boundaries for the parameters should be made sensibly.

    If initial guesses are too farout, most algorithms will fail toconverge.

    therealways is the possibility

    ofoneor several local minima.

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    Introduction1

    Rank Annihilation Correction (RAC)2

    Correction Function3

    Optimization Routines4

    Experiments & Results5

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    Mixtures of anthracene, pyrene, fluorene, and fluoranthene in acetonitrilewere analyzed by an HPLC DAD system.

    chromatograms were measured at 25 and 27.5 C before and after

    application of RAC, are plotted:

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    the temperature was varied between 25 and40 C and the flowrate was either 1 or 1.25 ml min1 and temperature, P1 and P0

    were plotted against each other.

    There is a good linear relationship

    betweenP1 and the temperature

    and this is independently thecase

    for both flow rates.

    There is a strong negative

    relationship between the shift

    parameter p0 and temperature

    and, interestingly, it is independent

    of the flow rate.

    theneat relationship shown

    in Fig. is aclear indication for the

    reliability and robustness of the

    procedure

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    A generally applicable method for the correction

    of instrumental inconsistencies in retention time

    dimension has been introduced. Experimentalexamples discussed in this paper comprise the

    successful correction of non-uniform retention

    time drifts in chromatography due to

    temperature or pressure changes.

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