rac 4 hplc_dad
TRANSCRIPT
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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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