2022
DOI: 10.37275/bsm.v6i14.662
|View full text |Cite
|
Sign up to set email alerts
|

Utilization of Silica Nanoparticles from Rice Husks for Improving the Mechanical Properties of Dental Materials: A Literature Review

Abstract: Rice husk is a waste product whose utilization is not optimal in Indonesia. Rice husks contain organic materials in the form of cellulose, hemicellulose, and lignin; and minerals in the form of silica, alkali, and trace elements. The silica content in rice husks is very high, ranging from 87-97% to other minerals. Silica nanoparticles from rice husks were synthesized through various methods, including the sol-gel method, the combustion method, and the combination method, to obtain the purity and size of the si… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 20 publications
0
1
0
Order By: Relevance
“…The use of silica nanoparticles from rice husk to improve the mechanical properties of dental materials started to drive scientists’ attention, due to its well-proven reinforcing characteristics 21 , they even used it as a method of increasing the hydroxyapatite formation in dentin and as an antimicrobial agent against Streptococcus mutans. Surprisingly, it proved efficient as a bioactive and antimicrobial agent 22 .…”
Section: Introductionmentioning
confidence: 99%
“…The use of silica nanoparticles from rice husk to improve the mechanical properties of dental materials started to drive scientists’ attention, due to its well-proven reinforcing characteristics 21 , they even used it as a method of increasing the hydroxyapatite formation in dentin and as an antimicrobial agent against Streptococcus mutans. Surprisingly, it proved efficient as a bioactive and antimicrobial agent 22 .…”
Section: Introductionmentioning
confidence: 99%