PREDICTIVE ANALYSIS OF SURFACE QUALITY-CANDIDA ALBICANS BIOFILM RELATIONS
Introduction The theoretical researches conducted aimed at determining the mathematic relations of functional dependence among three variable parameters: medium rugosity (Rz), the number of colony forming units (CFU) and the medium thickness of fungal cell layer ( ) characterizing the formation an...
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Romanian Society of Oral Rehabilitation
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doaj-b0bee7a1ae3a46188b8ea86d7f231c5c2020-11-24T23:57:28ZengRomanian Society of Oral RehabilitationRomanian Journal of Oral Rehabilitation2066-70002601-46612015-10-01734649PREDICTIVE ANALYSIS OF SURFACE QUALITY-CANDIDA ALBICANS BIOFILM RELATIONSElena-Raluca Baciu0Irina Grădinaru1Ştefan Toma2Maria Baciu3Constantin Baciu4Norina Consuela Forna5“Gr. T. Popa" U.M.Ph. - Iași, Romania, Faculty of Dentistry, Department of Dental Materials“Gr. T. Popa" U.M.Ph. - Iași, Romania, Faculty of Dentistry, Department of Dental Materials“Gh. Asachi” Technical University. Iași, Romania, Department of Material Engineering and Industrial Security“Gh. Asachi” Technical University. Iași, Romania, Department of Material Engineering and Industrial Security“Gh. Asachi” Technical University. Iași, Romania, Department of Material Engineering and Industrial Security “Gr. T. Popa" U.M.Ph. - Iași, Romania, Faculty of Dentistry, Department of EPI Clinic and therapyIntroduction The theoretical researches conducted aimed at determining the mathematic relations of functional dependence among three variable parameters: medium rugosity (Rz), the number of colony forming units (CFU) and the medium thickness of fungal cell layer ( ) characterizing the formation and growth of Candida albicans biofilm. Material and methods The influence of the finishing techniques was materialized by medium rugosity (Rz) measured for each polished surface whereas the process of formation and growth of cellular biofilms was highlighted by parameters (CFU) and ( ) whose values were determined by electronic microscopy SEM. The functional dependence among the three variables taken into consideration: (Rz, UFC and ) in case of the nonnoble dental alloy was solved by using Mathematica 8.0 programme. Results The analysis of real regression surface shows that the observance of the interdependence relation between Rz, UFC and parameters shall occur for values of Rz = 0.72...2.65 µm, to which shall correspond medium thicknesses of the cellular layer = 19.7…28.8 µm. Similarly, from the regression surface of the predictive values it results that the satisfaction of the regression function shall occur for values of Rz = 0.98...2.47 µm, whereas for parameter we will have the value interval: 17.8...23.6 µm. Conclusions For the samples of Kera N alloy under study, all theoretical values obtained by predictive analysis for the variable parameters Rz, CFU and show that the finishing techniques applied to the surfaces of metal components of prosthetic restorations shall exert their influence on the formation and growth of Candida albicans biofilms.http://www.rjor.ro/predictive-analysis-of-surface-quality-candida-albicans-biofilm-relations/?lang=roCandida albicans biofilmNi-Cr-Mo alloysregression surface |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Elena-Raluca Baciu Irina Grădinaru Ştefan Toma Maria Baciu Constantin Baciu Norina Consuela Forna |
spellingShingle |
Elena-Raluca Baciu Irina Grădinaru Ştefan Toma Maria Baciu Constantin Baciu Norina Consuela Forna PREDICTIVE ANALYSIS OF SURFACE QUALITY-CANDIDA ALBICANS BIOFILM RELATIONS Romanian Journal of Oral Rehabilitation Candida albicans biofilm Ni-Cr-Mo alloys regression surface |
author_facet |
Elena-Raluca Baciu Irina Grădinaru Ştefan Toma Maria Baciu Constantin Baciu Norina Consuela Forna |
author_sort |
Elena-Raluca Baciu |
title |
PREDICTIVE ANALYSIS OF SURFACE QUALITY-CANDIDA ALBICANS BIOFILM RELATIONS |
title_short |
PREDICTIVE ANALYSIS OF SURFACE QUALITY-CANDIDA ALBICANS BIOFILM RELATIONS |
title_full |
PREDICTIVE ANALYSIS OF SURFACE QUALITY-CANDIDA ALBICANS BIOFILM RELATIONS |
title_fullStr |
PREDICTIVE ANALYSIS OF SURFACE QUALITY-CANDIDA ALBICANS BIOFILM RELATIONS |
title_full_unstemmed |
PREDICTIVE ANALYSIS OF SURFACE QUALITY-CANDIDA ALBICANS BIOFILM RELATIONS |
title_sort |
predictive analysis of surface quality-candida albicans biofilm relations |
publisher |
Romanian Society of Oral Rehabilitation |
series |
Romanian Journal of Oral Rehabilitation |
issn |
2066-7000 2601-4661 |
publishDate |
2015-10-01 |
description |
Introduction The theoretical researches conducted aimed at determining the mathematic relations of functional
dependence among three variable parameters: medium rugosity (Rz), the number of colony forming units (CFU)
and the medium thickness of fungal cell layer ( ) characterizing the formation and growth of Candida albicans
biofilm. Material and methods The influence of the finishing techniques was materialized by medium rugosity
(Rz) measured for each polished surface whereas the process of formation and growth of cellular biofilms was
highlighted by parameters (CFU) and ( ) whose values were determined by electronic microscopy SEM. The
functional dependence among the three variables taken into consideration: (Rz, UFC and ) in case of the nonnoble
dental alloy was solved by using Mathematica 8.0 programme. Results The analysis of real regression
surface shows that the observance of the interdependence relation between Rz, UFC and parameters shall
occur for values of Rz = 0.72...2.65 µm, to which shall correspond medium thicknesses of the cellular layer =
19.7…28.8 µm. Similarly, from the regression surface of the predictive values it results that the satisfaction of
the regression function shall occur for values of Rz = 0.98...2.47 µm, whereas for parameter we will have the
value interval: 17.8...23.6 µm. Conclusions For the samples of Kera N alloy under study, all theoretical values
obtained by predictive analysis for the variable parameters Rz, CFU and show that the finishing techniques
applied to the surfaces of metal components of prosthetic restorations shall exert their influence on the
formation and growth of Candida albicans biofilms. |
topic |
Candida albicans biofilm Ni-Cr-Mo alloys regression surface |
url |
http://www.rjor.ro/predictive-analysis-of-surface-quality-candida-albicans-biofilm-relations/?lang=ro |
work_keys_str_mv |
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