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CHEMOMETRICS ASSISTED UV-SPECTROPHOTOMETRIC ...

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A. Advantages of PCR<br />

• PCR doesn’t need the selection of wavelength most of the time the whole spectrum<br />

are used<br />

• Averaging effect: as one uses great number of wavelengths the averaging effect will<br />

be attained decreasing the chance for spectral noise can be utilized for mixtures with<br />

large constituents (highly complex). PCR also enables, some times to figure out<br />

samples with constituents which are not present basically (originally) in the calibration<br />

mixture.<br />

B. Disadvantage of PCR<br />

• The calculation is slower if compared to CLS.<br />

• Optimization needs knowledge of PCA i.e. interpretation and understanding the model<br />

is not a simple task.<br />

• It needs large number of samples for the accurate calibration [32,37].<br />

Insipite of the above inconveniences, PCR has widely been applied for the specrophtometric<br />

resolution of mixtures comprising two or more serous overlapping spectra [38,39].<br />

1.3.3. Partial least squares<br />

PLS is one of the factor analysis methods that widely used and gives complex information<br />

[12, 40]. It is a powerful multivariate statistical tool applied to simultaneous<br />

spectrophotometeric determination of mixture with overlapping spectra (of constituents). PLS<br />

is the method that is often used in multivariate calibration. It resembles PCR, but works in<br />

one step. It also determines latent variables, that are linear combination of the original<br />

variables, but the criterion applied is maximal covariance between the Y-values and the<br />

spectral variables because of this criterion the algorithm yields models by and interactive<br />

procedure which is perceived by the user as a single regression step [39].<br />

A. Advantage of PLS<br />

• It works in one step unlike the PCR<br />

• Can be used for very complex mixture<br />

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