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1 MCR-ALS analysis using initial estimate of concentration profile by EFA.

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Presentation on theme: "1 MCR-ALS analysis using initial estimate of concentration profile by EFA."— Presentation transcript:

1 1 MCR-ALS analysis using initial estimate of concentration profile by EFA

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10 10 Deducing Chemical Rank (Factor Analysis) Scree plot Indicator function Loading plot Eigen-value ratio …

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14 14 Calculating Initial estimate by EFA

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26 26 1.2

27 27 1.2

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30 30 1.2

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36 36 Source of differences? Rotational ambiguity PCA: D=TP Beer-Lambert: D=CS In MCR we want to reach from PCA to Beer-Lambert D= TP = TRR -1 P, R: rotation matrix D = (TR)(R -1 P) C=TR, S=R -1 P (R  2)(0.5  R -1 ) = RR -1

37 37 How can we overcome this problem? More extra constraints: 1.Selectivity 2.Peak Shape 3.Matrix augmentation 4.Combined hard model

38 38 Implementation of selectivity in pure spectra If we know the pure spectrum of the reactant

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40 40 1.2

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44 44 Implementation of selectivity in concentration profile At the beginning of reaction only reactant is existed and the other species are absent

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46 46 1.2

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49 49 Two other experiments

50 50 Next step?

51 51 Matrix augmentation 3 kinetic experiments run at three different experimental conditions D1 D2 D3

52 52 Steps for column-wise data augmentation 1. calculate initial estimate of concentration for each data set [e1,ef1,ef2]=efa(d1); [e2,ef2,ef2]=efa(d2); [e3,ef3,ef3]=efa(d3); 2. produce a matrix of initial estimate e=[e1;e2;e3]; 3. collect all data matrices in a single matrix d=[d1;d2;d3];

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58 58 Analysis of a single data matrix Analysis of augmented data matrices

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71 71 Original Values: k 1 =0.2 k 2 =0.02 Original Calculated k 1 k 2 k 1 k 2 R1 0.20 0.02 0.22 0.017 R2 0.30 0.08 0.31 0.072 R3 0.45 0.32 0.45 0.29

72 72 Row and column wise data augmentation If the experiments are also monitored by spectroflourimetric method Da1 Da2 Da3 Df1 Df2 Df3

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