Fernandes, José VeríssimoNascimento, Yasmin Mesquita2020-05-052020-05-052019-03-26NASCIMENTO, Yasmin Mesquita. Identificação dos virus zika e chikungunya por bioespectroscopia ATR-FTIR em amostras biológicas empregando técnicas de classificação multivariada. 2019. 69f. Dissertação (Mestrado em Ciências Biológicas) - Centro de Biociências, Universidade Federal do Rio Grande do Norte, Natal, 2019.https://repositorio.ufrn.br/jspui/handle/123456789/28922The main objective of this work was the proposition of a new methodology for the detection of arboviruses Zika and Chikungunya using biospectroscopy and multivariate classification tools. Attenuated Total Reflectancespectroscopy associated with Fourier Transform Infrared Spectroscopy (ATR-FTIR) associated with multivariate classifi- cation techniques was used to evaluate the ability of the technique to properly classify 260 biological samples into groups defined as positive for the presence of viruses (CHIKV +; ZIKV +) and Negatives (CHIKVand ZIKV-). The multivariate analysis algorithms used were Linear Discriminant Analysis (PCA-LDA), Linear Discriminant Analysis (SPA-LDA) and Genetic Algorithm-Linear Discriminant Analysis (GA-LDA). The performance of the technique was assessed by calculations of sensitivity, specificity, positive predictive values (NPV) and negative values (NPV), which were able to classify the samples infected with the Zika and Chikungunya viruses in categories, differentiating those with the viruses of those considered healthy, with sensitivity and specificity, VPP and VPN up to 100%. The results were encouraging and showed that the spectroscopy used in conjunction with multivariate analysis techniques has the potential to detect and identify the variations caused by the presence of the Zika and Chikungunya viruses in biological samples and to provide fast and low cost results in comparison to techniques used in laboratory routines.Acesso AbertoChikungunyaZikaATR-FTIRAnálise multivariadamasterThesisCNPQ::CIENCIAS BIOLOGICAS