ClinicalTrials.Veeva

Menu

Effect of Mouthwash Containing Camellia Sinensis Extracts on Oral Malodor

M

Mahidol University

Status and phase

Completed
Phase 2

Conditions

Halitosis
Gingivitis

Treatments

Drug: Camellia sinensis mouthwash
Drug: Placebo mouthwash

Study type

Interventional

Funder types

Other

Identifiers

NCT00932347
COA. No. MU-IRB 2008/177.1211

Details and patient eligibility

About

The purpose of this study is to determine effect of Mouthwash containing Camellia sinensis extracts on oral malodor and gingival inflammation in gingivitis subjects.

Full description

At baseline, level of volatile sulfur compounds (VSC) in mouth air, Plaque Index and Papillary Bleeding Index will be recorded. Gingivitis subjects will be asked to rinse with Camellia sinensis mouthwash or placebo mouthwash. VSC level will be measured at 30 minutes and 3 hours post-rinsing. For the following 4 weeks, subjects will be rinsed with the assigned mouthwash twice daily after toothbrushing. All parameter will be recorded again at Day 28.

Enrollment

60 estimated patients

Sex

All

Ages

18+ years old

Volunteers

Accepts Healthy Volunteers

Inclusion criteria

  • at least 20 teeth
  • clinical diagnosis as plaque induced gingivitis
  • having over 80 ppb of volatile sulfur compounds in mouth air

Exclusion criteria

  • smoker
  • denture wearer
  • having systemic diseases or oral pathology
  • taking antibiotics 1 month prior to study

Trial design

Primary purpose

Treatment

Allocation

Randomized

Interventional model

Parallel Assignment

Masking

Double Blind

60 participants in 2 patient groups, including a placebo group

Mouthwash A
Experimental group
Description:
Mouthwash A: Camellia sinensis mouthwash
Treatment:
Drug: Camellia sinensis mouthwash
Mouthwash B
Placebo Comparator group
Description:
Mouthwash B: Placebo mouthwash
Treatment:
Drug: Placebo mouthwash

Trial contacts and locations

1

Loading...

Data sourced from clinicaltrials.gov

Clinical trials

Find clinical trialsTrials by location
© Copyright 2026 Veeva Systems