Aim:To comparatively evaluate the antimicrobial efficacy of fluoridated and herbal dentifrices.Materials and Methods:Sixty students in the age group 6–12 years with DMF/def score 0 were selected from an orphanage center. The participants were divided into four groups. In group A, no dentifrice was used; in group B, fluoride containing dentifrice was used; group C subjects used Aloe vera containing dentifrice; and in group D, Meswak containing dentifrice was used. The salivary samples were collected at the washout period of 2 days, 15 days, and 30 days and cultured on Mitis Salivarius Agar for determining Streptococcus mutans count. Results obtained were statistically analyzed using Student's t-test.Results:There was an increase in bacterial count in group A where no dentifrices were used, while the bacterial count steadily decreased in groups B, C, and D by 83.7%, 80.94%, and 83.5%, respectively.Conclusion:Herbal dentifrices containing A. vera and Meswak can be safely recommended as an alternative to fluoridated dentifrices in terms of antimicrobial efficacy.
Food safety refers to preparing, transporting, and storing food to avoid foodborne sickness and harm. From farm to factory and factory to fork, food items may meet various health dangers. Therefore, food safety is crucial both monetarily and morally. The implications of failing to comply with food safety requirements are varied. The requirement for accurate, quick, and nonpartisan quality assessments of these features in food products continues to rise with increased demands for dietary materials and high-quality requirements. Computer vision provides an automatic, nondestructive, and economic approach to achieving these aims. A substantial research has demonstrated its effectiveness for fruit and vegetable assessment and classification. It stresses the critical components of image processing technology and a survey of the most current advances across the food sector. This article outlines the essential parts of a computer vision system. In order to avoid foodborne disease and ensure food security, fast and effective detection of pathogenic microorganisms is crucial for public safety biomonitoring. Over the years, microorganism detection techniques have evolved.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.