Composite surface roughness and color change following airflow usage
Azam Valian; Zahra Jaber Ansari; Mohammad Moien Rezaie; Roja Askian · 2021 · BMC Oral Health
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
Abstract Background Esthetic dental restorations have gained increasing popularity. The surface of restorations should be smooth enough to achieve maximum esthetics and prevent the adhesion of microorganisms and food particles. This study aimed to assess the surface roughness and color change of composite specimens following airflow usage. Methods In this in vitro, experimental study, 30 Tokuyama composite discs were fabricated and randomly divided into three groups (n = 10) for the use of airflow with calcium carbonate/bicarbonate powder and conventional polishing with FlexiDisc. The surface
Abstract by Azam Valian; Zahra Jaber Ansari; Mohammad Moien Rezaie; Roja Askian, BMC Oral Health (2021) — licensed CC BY 4.0.
About to run something similar?
Run an AI Precheck on your own design to catch failure modes like this one before you spend the time. Your first desk check is free.
Related failures
Accuracy of four intraoral scanners in oral implantology: a comparative in vitro study
Negative / Null Result ReportBioactivity evaluation of three calcium silicate‐based endodontic materials
Negative / Null Result ReportIncidence of impacted mandibular and maxillary third molars-a radiographic study in a Southeast Iran population
Negative / Null Result ReportAnti‐infective therapy of peri‐implantitis with adjunctive local drug delivery or photodynamic therapy: 12‐month outcomes of a randomized controlled clinical trial
Negative / Null Result ReportExploring the genetic basis of chronic periodontitis: a genome-wide association study
Negative / Null Result ReportIn Vitro Biofilm Formation on Titanium and Zirconia Implant Surfaces
WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.
Metadata source: DOAJ · DOI 10.1186/s12903-021-01745-3
