Back

The Effect of chlorhexidine mouthwash on the color stability of three types of dental resin composites

Shafigh, E.; abdollahpoor, s.; esfahani, f.

2025-05-25 dentistry and oral medicine
10.1101/2025.05.23.25326136 medRxiv
Show abstract

ObjectiveThe successful application of composite resin restoration largely depends on their color stability, and discoloration is still a problem in composite resin restorations due to the desired instability. Chlorhexidine is one of the most widely used mouthwashes. The most important side effect of chlorhexidine is tooth discoloration. Since there has been no study on the effect of chlorhexidine application on microhybrid, nan and packable composites, the present study will be performed by spectrophotometric laboratory method to measure the staining of these composites due to contact with 0.2% chlorhexidine. Materials and MethodsNano filler, Packable and Micro hybrid composites are choose for our study for testing 35 samples of each composite were prepared in 2 mm in 1 cm disks. and then all three groups (n=105 samples) are exposed to 0.2% chlorhexidine for one minute every day for 2 weeks. Finally, discoloration will be investigated in each group. ResultsCHX provided the significant color change in all of the 3 type of composite groups (P<0.05). Data analyses are seen in the table one two and three. Between 3 type of composite z350 micro hybrid has a best color stability and nanofiller z350 is more prone to discoloration in comparison of Packable P60. ConclusionAccording to the results of the present study and related limitations, it can be concluded that micro hybrid composite is the best type of composite in tooth restoration of people who have to use chlorhexidine for a long time.

Matching journals

The top 2 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.