Principal Component Analysis (PCA) and construction of a SIMCA classification model to monoterpenes and analogs with larvicidal activity in Aedes aegypti


  • Edilson B. de Alencar Filho Universidade Federal do Vale do São Francisco


Monoterpenes, Aedes aegypti, Arboviruses, Larvicidal activity, CCV-based algorithm, SIMCA


The arboviruses Dengue, Zika and Chicungunya are global public health problems that can be mainly transmitted by the bit of the Aedes aegypti mosquitoes. The prevention of these diseases involves the insect control, by chemical, physical or biological methods, considering both larval and adult stages. Natural products have been studied as more secure and effective chemical alternatives, through the use of extracts, fractions, and isolated compounds. Based on the previous paper of Santos and coworkers, which related the larvicidal activity of monoterpenes and analogs against Aedes aegypti, this work presents an unusual variable selection procedure, based on Clustering Coefficients of Variation (CCV) method, aiming to generate a classification model by SIMCA, capable of helping in the search of compounds with greater larvicidal potential