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Record W4412886347 · doi:10.2196/77998

Evaluation of the Antimicrobial Efficacy of Cerium Oxide Nanoparticles and Chlorhexidine Gluconate Against Enterococcus faecalis in Root Canal Systems: Protocol for an In Vitro Study

2025· article· en· W4412886347 on OpenAlexvenueno aff
Bhuvaneshwari Khanadali, Anuja Ikhar

Bibliographic record

VenueJMIR Research Protocols · 2025
Typearticle
Languageen
FieldDentistry
TopicEndodontics and Root Canal Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsEnterococcus faecalisChlorhexidineChlorhexidine gluconateCerium oxidePreprintDentistryDisinfectantChemistryMedicineTraditional medicineWorld Wide WebMaterials scienceMetallurgyOxideComputer science

Abstract

fetched live from OpenAlex

Background Enterococcus faecalis is a facultative anaerobic bacterium frequently associated with persistent root canal infections and endodontic treatment failures. Its resistance is primarily attributed to its ability to form robust biofilms, survive under harsh conditions, and penetrate deep into dentinal tubules. Chlorhexidine gluconate (CHX), commonly used as an intracanal medicament, exhibits broad-spectrum antimicrobial activity; however, its limited ability to eliminate biofilms, potential cytotoxicity, and restricted dentinal penetration pose significant drawbacks. In recent years, nanotechnology has introduced promising alternatives such as cerium oxide nanoparticles (CeO2-NPs), which exhibit unique redox properties, reactive oxygen species scavenging, and antimicrobial action due to their nanoscale size and surface chemistry. Objective This study aims to evaluate and compare the antimicrobial efficacy of 0.05% CeO2-NPs, 2% CHX, and their combination against E. faecalis in root canal systems. Methods Forty-eight extracted human single-rooted premolars will be decoronated, instrumented, and sterilized. The root canals will be inoculated with E. faecalis and incubated for 21 days to allow biofilm formation. The specimens will then be divided into four groups (n=12 per group), each receiving one of the following treatments: (1) 0.05% CeO2-NPs, (2) 2% CHX, (3) a combination of CeO2-NPs and CHX, and (4) sterile water as the negative control. After the medicaments are applied for 5 days, microbial sampling will be conducted, and the remaining viable bacteria will be quantified using colony-forming unit (CFU) counts on selective agar. Results Ethics approval was obtained from the institutional ethics committee of Datta Meghe Institute of Higher Education and Research, Wardha (approval DMIHER(DU)/IEC/2025/546) in January 2025. As of January 2026, laboratory procedures, including specimen preparation, microbial inoculation, and data collection, have not yet commenced. Data collection is planned to begin in February 2026 and is expected to be completed by April 2026. Data analysis will follow immediately thereafter, with results anticipated to be submitted for publication in mid-2026. As this is an in vitro study, no participant recruitment, funding allocation, or clinical trial registration is applicable. It is expected that the combination of CeO2-NPs and CHX will result in the greatest reduction in bacterial load, followed by CeO2-NPs alone, CHX alone, and sterile water. These expected outcomes will be assessed based on comparative CFU counts for each treatment group. Conclusions This study aims to provide insight into the antimicrobial potential of CeO2-NPs either alone or in combination with CHX against E. faecalis. If proven effective, CeO2-NPs could represent a novel and biocompatible adjunct or alternative to conventional intracanal medicaments, contributing to improved disinfection protocols and better clinical outcomes in endodontic therapy. International Registered Report Identifier (IRRID) PRR1-10.2196/77998

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Protocol · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.235
GPT teacher head0.536
Teacher spread0.300 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreProtocol

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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