Estudo dos espectros vibracionais de poliacetilenos substituídos

Neste trabalho foram sintetizados a poli-2-etinilpiridina (P2EP), poli-4etinilpiridina (P4EP), o iodeto de poli(2-N-t-butilpiridiniumilacetileno) (P2EPtBu) e a poli-β-etinilnaftaleno (Pβ:EN), os quais são poliacetilenos substituídos. Estes polímeros, juntamente com o cloreto de poli(2-piridínio-2-piridilacetileno) (P2EPH), foram caracterizados por espectroscopia vibracional no infravermelho e Raman. Estes polímeros apresentaram variação na posição das bandas Raman com a energia da radiação excitante - chamada dispersão Raman ou fotosseletividade - da ordem de 10 cm-1, bem inferior ao apresentado pelo poliacetileno (cerca de 60 cm-1). Este deslocamento foi interpretado utilizando-se dois dos modelos existentes para descrever este fenômeno: o Modelo de Modo de Amplitude (AMM) e o Modelo de Coordenada de Conjugação Efetiva (ECCM), os quais fornecem informações sobre a estrutura polimérica e sobre seus níveis eletrônicos. Utilizando-se o AMM foi possível obter informações sobre os níveis eletrônicos excitados de mesma simetria que o estado eletrônico fundamental. Por outro lado, o ECCM, com a ajuda de cálculos DFT, mostrou diferenças na extensão da conjugação e no grau de dimerização entre o P2EP na forma cis e trans e indicou que este polímero apresentava, predominantemente, a estrutura cis, fato este confirmado pelos espectros no infravermelho. A dopagem com I2 provocou efeitos diferentes na estrutura dos polímeros. Os espectros no infravermelho dos polímeros dopados indicaram que o P2EP e o P2EPH apresentaram aumento na quantidade de segmentos cis enquanto o P2EPtBu apresentou diminuição na quantidade desses segmentos. Os espectros Raman dos polímeros dopados confirmaram os dados dos espectros no infravermelho. Esta diferença foi interpretada como sendo devida à diferença no volume do substituinte, pois grupos volumosos favorecem o isômero trans-cisóide onde a distância entre os substituintes é maior. A dopagem também levou a um aumento na condutividade dos polímeros, porém os valores de condutividade obtidos foram bem inferiores que os apresentados pelo poliacetileno dopado (10-5 a 10-7 contra 102 S cm-1, tipicamente).

Infrared microspectroscopy of inflammatory process and colon tumors.

According to the last global burden of disease published by the World Health Organization, tumors were the third leading cause of death worldwide in 2004. Among the different types of tumors, colorectal cancer ranks as the fourth most lethal. To date, tumor diagnosis is based mainly on the identification of morphological changes in tissues. Considering that these changes appears after many biochemical reactions, the development of vibrational techniques may contribute to the early detection of tumors, since they are able to detect such reactions. The present study aimed to develop a methodology based on infrared microspectroscopy to characterize colon samples, providing complementary information to the pathologist and facilitating the early diagnosis of tumors. The study groups were composed by human colon samples obtained from paraffin-embedded biopsies. The groups are divided in normal (n=20), inflammation (n=17) and tumor (n=18). Two adjacent slices were acquired from each block. The first one was subjected to chemical dewaxing and H&E staining. The infrared imaging was performed on the second slice, which was not dewaxed or stained. A computational preprocessing methodology was employed to identify the paraffin in the images and to perform spectral baseline correction. Such methodology was adapted to include two types of spectral quality control. Afterwards the preprocessing step, spectra belonging to the same image were analyzed and grouped according to their biochemical similarities. One pathologist associated each obtained group with some histological structure based on the H&E stained slice. Such analysis highlighted the biochemical differences between the three studied groups. Results showed that severe inflammation presents biochemical features similar to the tumors ones, indicating that tumors can develop from inflammatory process. A spectral database was constructed containing the biochemical information identified in the previous step. Spectra obtained from new samples were confronted with the database information, leading to their classification into one of the three groups: normal, inflammation or tumor. Internal and external validation were performed based on the classification sensitivity, specificity and accuracy. Comparison between the classification results and H&E stained sections revealed some discrepancies. Some regions histologically normal were identified as inflammation by the classification algorithm. Similarly, some regions presenting inflammatory lesions in the stained section were classified into the tumor group. Such differences were considered as misclassification, but they may actually evidence that biochemical changes are in course in the analyzed sample. In the latter case, the method developed throughout this thesis would have proved able to identify early stages of inflammatory and tumor lesions. It is necessary to perform additional experiments to elucidate this discrepancy between the classification results and the morphological features. One solution would be the use of immunohistochemistry techniques with specific markers for tumor and inflammation. Another option includes the recovering of the medical records of patients who participated in this study in order to check, in later times to the biopsy collection, whether they actually developed the lesions supposedly detected in this research.