Development of multivariate analytical methodologies employing low resolution surface enhanced Raman spectroscopy

Author(s)

Diorginis Bueno Montrazi Ribeiro

• Document type: Doctoral Thesis
• Press: Campinas, SP.
• Institution: Universidade Estadual de Campinas (UNICAMP). Instituto de Química
• Defense date: 2009-02-09

Examining board members

Ronei Jesus Poppi; Edenir Rodrigues Pereira Filho; Waldomiro Borges Neto; Fabio Augusto; Maria Izabel Maretti Silveira Bueno

• Advisor: Cesar Alexandre de Mello; Ronei Jesus Poppi

Abstract

In this thesis analytical methodologies were developed employing low resolution surface enhanced Raman spectroscopy (SERS) and multivariate calibration based on partial least squares method (PLS) for determination of the pesticides endosulfan and methamidophos (and mixtures of them) in water and the thyroid stimulating hormone (TSH) in plasma. For the pesticides calibration model development, a total of 70 and 30 samples composed the calibration and validation sets, respectively, using the Kennard-Stone algorithm for samples separation. In the model development for the mixture of pesticides, a total of 38 and 11 samples were used in the calibration and validation sets, respectively. For the model development in the TSH determination, 39 samples were used in the calibration set and 14 in the validation set. Also the Kennard-Stone algorithm was used to split the samples into the two data sets. The models were developed using different preprocessing methods and compared by using the prediction errors (RMSEP). The following pre-processing were tested: Fourier transform filter, multiplicative scatter correction, standard normal variate, spectra orthogonalization by Gram-Schmidt method, mean center and autoscaling. The best models were validated by figures of merit determination. It was assessed the accuracy, sensibility, analytical sensibility, selectivity, fit, signal/noise ratio, detection and quantification limits. The proposed methodology is fast, has low cost and presented prediction errors below to 10 mg/L for the pesticides and below to 0.8mìUI/mL for TSH. It may easily be adapted for the pesticides monitoring in waters and also for routine laboratory analysis in TSH determination. (AU)