Oral Changes With Caloric and no Caloric Sweeteners

A randomized crossover clinical trial will be conducted including 43 healthy adolescents participants (sample size with alpha=0.05 and beta=0.8 ). The intervention will consist of ingesting 250 mL of natural water (pH 7.1) in the first meeting, in subsequent meetings the natural water will be added with 1) 0.1 gr. of stevioside or 2) 25 gr. of sucrose. The washout period between interventions will be 1 week. Participants will be informed of potential risks and those who sign the informed consent and complete the inclusion criteria will be randomized in a triple-blind manner. The data will be collected in a special format including previous conditions, identification (age and sex) and possible adverse effects. If any possible adverse effect occurs, it will be notified to the research team to determine the changes. * To determine the pH, saliva and dental biofilm samples will be obtained and analyzed using a HANNA potentiometer. * To determine the bacterial proliferation, samples of dental biofilm will be obtained and the number of copies of Streptococcus mutans (S. mutans) and Streptococcus sobrinus (S. sobrinus) will be analyzed by polymerase reaction technique (PCR) of the 16S ribosomal gene fragment. * To analyze dental biofilm microbiome, 11 of the 43 participants will be randomized for. Genetic sequencing will be performed and the amplicon Sequence Variants (ASVs) of S. mutans and S. sobrinus will be compared. The data will be collected at a time indicated by a stopwatch and carried out by two verifiers. The statistical analysis will be done according to the type of variable, these will be described with mean and standard deviation or frequencies and percentages. The pH will be compared by ANOVA analysis and adjusted by Bonferroni correction. Bacterial proliferation will be analyzed by Kruskal Wallis test. Statistical Package for the Social Sciences (SPSS) v. 22 program will be used considering p value ≤ 0.05. For the microbiome, the Amplicon Sequence Variants (ASVs) will be analyzed. Non-parametric multivariate analysis of variance and an analysis of similarities will be used. The p values will be calculated, identifying those that have differences in bacterial communities between the groups using the Genius (V3) software.