Objective. The risk to dentists, assistants, and patients of infectious diseases through aerosols has long been recognized. The aim of this study was to evaluate and compare the efficacy of commercially available preprocedural mouth rinses containing 0.2% chlorhexidine (CHX) gluconate, Befresh™ herbal mouthwash, and water in reducing the levels of viable bacteria in aerosols. Materials & Methods. This was a single-center, double-masked, placebo-controlled, randomized, three-group parallel design study. 30 patients (10 patients in each group) were recruited in the study. Patient rinsed mouth with 10 ml of CHX, 10 ml Befresh™, or 10 ml water. All the patients underwent supragingival ultrasonic scaling for a minimum of 30 min. The aerosol collection was done using a blood agar plate. The blood agar plates were kept approximately 12 inches from the patient’s mouth. The microbial culture was analyzed. The colony-forming unit (CFU) counting in all three groups was assessed using one-way ANOVA test to compare among the groups (p value <0.001). The intergroup comparison was done using the post hoc Tukey test. Result. There was a marked reduction in the CFU in the CHX group in all three areas. This was followed by Befresh™ (Sagar Pharmaceuticals) mouthwash. There was no reduction in the CFU of the water group. Conclusion. This study proves that a regular preprocedural mouth rinse could significantly reduce the majority bacteria present in aerosols generated by the use of an ultrasonic unit, and Befresh™ mouth rinse was found to be equally effective in reducing the aerosol contamination to 0.2% CHX gluconate.
The ability to manage fields not as a single unit but by dividing them into separate areas distinguishes precision farming from traditional agriculture. Technologies and techniques used to improve the crop farming is the main domain we are working under precision agriculture.Optical sensors that use the reflectivity of light placed on growing plants to monitor and record the data about soil and crops in real time are available. Electrochemical sensors,are those that monitor plant, soil, and external factors that have a direct impact on plant growth.. A prototype of an intelligent Agriculture Robot tailored exclusively for seed sowing tasks is exhibited. It is a four-wheeled vehicle driven by an LPC2148 microcontroller. Its operation is based on precision agriculture, which allows for effective seed planting at appropriate depths and distances within crops and rows that are specific to each crop species.This work presents a system for diagnosing cotton leaf diseases in India using image processing. The system uses SVM to classify diseases based on color and texture of images obtained from cotton fields using a digital camera. The images undergo pre-processing, including segmentation and feature extraction. The goal is to reduce loss of yield and productivity by early disease identification.
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.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.