Udod À.À., Chelyach Å.N.
Donetsk national medical university named M. Gorky, Ukraine
The Researching of Surface Roughness of New Resin-based Nanocomposite
In modern stomatology practice for the clinical
estimation of quality of surface of restorations widely apply by-instrumental
methods which do not contain quantitative information and depend on a number of
factors. There are also laboratory methods of superficial profilometrii and
profilografii for measuring of roughness of surface of resin-based composite
(RBC), which it is impossible to apply in a clinic [1,2]. From other side, it
is known that high-quality implementation of final treatment of restoration
work is rendered by direct influence on aesthetic parameters, duration of
functioning of restoration in the cavity of mouth, dental plaque, development
of the second caries and diseases of parodontitis [3,4]. In this connection,
the clinical estimation of quality of roughness of surface of RBC was developed
by the computer analysis of digital representation of restorations, which, from
our point of view, and is perspective direction in qualitylogy the grounded
restoration treatment in stomatology (Udod À.À., Chelyach Å.N., 2007).
The aim of this study was to evaluate
the effects differences in surface roughness of polishing system on a resin-based
nanocomposite specimens on all stages of the study using computer
analysis of digital view.
Materials and Methods.
We tested a new resin-based light-cured nanocomposite – Premise, Kerr (shade A2), and PoGo Polishing System,
Dentsply. All specimen preparation, finishing and polishing procedures were
done by the same investigator to reduce variability. It was prepared disk
specimens 6 mm in diameter, 1,5 mm deep. Ten disks were fabricated. These
specimens were polymerized for 20 seconds from the top and bottom surfaces
using a Degulux, Degussa, light-curing unit. The samples were finished using
diamond burs (size of diamond particulars is 30 µm, according to ISO) and polished using PoGo, Dentsply, according to the
manufacturer’s instructions.
The average surface roughness in micrometers (Ra, µm)
was measured on each specimen immediately after light curing, finishing by
diamond burs and post-polishing using profilogphy method and presented computer
analysis of digital view.
The surface
roughness measurements were made for all the disks using a profilograph-profilometer,
type AI, model 252. The record of microroughness
was made on diagram tape with magnifications in horizontal line was 50, in
vertical line was 2000. The average surface roughness
on all stages of our study was calculated by taking the arithmetic mean roughness
from the giving profilogrammes.
It was made a digital survey of each specimen
investigating area by digital camera Canon
Ixus 65 in «macro» regime. Digital
views were saved keeping in JPEG. Using presented
program product «Dental Quality» (Udod A.A., Shamaev V.V., 2007) we
carried out an analysis of saving digital views. As a result of computer
analysis we got data of surface microroughness
of RBC’s
specimen investigating area in micrometers.
Mean average surface roughness (Ra) was recorded in three stages: I
stage – after polymerization, II stage – after finishing using diamond bur and
III stage – after polishing PoGo, Dentsply.
Results. As
a result of our researching had been got data of specimen’s
surface roughening by profilography and computer
analysis methods (table 1).
Table 1
The data of Point 4, Kerr, specimen’s surface roughening
on all study stages
Study stages |
Specimen’s surface roughening, µm |
|
Profilography method |
Computer analysis method |
|
After polymerization |
0,261±0,001 |
0,255±0,005 |
After finishing using diamond bur |
0,204±0,001 |
0,203±0,001 |
After polishing PoGo, Dentsply |
0,182±0,001 |
0,183±0,001 |
After polymerization the baseline surface roughening
determining by profilography method of specimens Premise, Kerr, had a baseline
surface roughness Ra=0,261±0,001 µm, using diamond bur provided a significantly
smoother surface Ra=0,204±0,001 µm, than the baseline surface roughness of
specimens and the statistically significantly smoothest surface has been
provided by PoGo, Dentsply, Ra=0,182±0,001 µm. There was a statistically
significant difference between data on all stages of first part of our study (ð<0,05).
Using computer
analysis we got the data of surface roughness
after polymerization RBC’s specimens Ra=0,255±0,005 µm, then after finishing specimens surface with
diamond bur we got a significantly smoother surface Ra=0,203±0,001 µm, but the statistically significantly smoothest
surface has been got after polishing by PoGo, Dentsply, Ra=0,183±0,001 µm.
There was a statistically significant difference between data on all stages of second
part of our study (ð<0,05).
There was no significant difference in data of all
stages of our study between two different methods of surface roughness RBC’s
specimens measuring (p>0,05).
Conclusion.
Thus, the computer method of estimation of surface of RBC’s, based on the analysis of digital representation,
allows to get these microroughness, comparable with the results of profilography, and allows in a clinic to estimate the degree of
roughness of surface of RBC’s after polishing of restoration unlike profilography
method.
Reference.
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tooth-colored restorative materials after several finishing and polishing
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Glorieux T., Devaux J. et al. Characterization of nanofilled compared to
universal and microfilled composites // Dental Materials. –
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Neiva G., Dennison J. et al. Finishing systems on the final surface roughness
of composites // The Journal of Contemporary Dental Practice. – 2008. – Vol. 9,
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