| Literature DB >> 36110705 |
Divya Krishnamoorthi1, Suma Karthigeyan2, Seyed Asharaf Ali3, Sasikala Rajajayam1, Ramya Gajendran4, Mithra Rajendran1.
Abstract
Aim: The aim of the present study was to evaluate the in-vitro cytotoxicity of heat-cure denture base resin (PMMA) modified with recycled denture base resin at 10%, 20%, 30%, 40%, and 50% (w/w) concentration. Materials andEntities:
Keywords: Cell survival; cytotoxicity; polymer; recycling; reuse
Year: 2022 PMID: 36110705 PMCID: PMC9469223 DOI: 10.4103/jpbs.jpbs_890_21
Source DB: PubMed Journal: J Pharm Bioallied Sci ISSN: 0975-7406
Figure 1Dulbecco's Modified Eagle Medium (DMEM)
Figure 2Preparation of Eluates
Figure 396 Wells culture microtitre plate system
Workflow for MTT cytotoxicity assay[10]
| Time (in hours) | Procedure |
|---|---|
| 00:00 | 96-well culture microtiter plate is seeded with L929 mouse fibroblast cell line at a concentration of 1×104 cells/well |
| Incubate for 24 h at 37°C under 5% CO2 to obtain a monolayer of cell culture | |
| 24:00 | Remove the culture medium |
| Prepared test material eluates, positive and negative controls were added to the microtiter plates. | |
| Incubate at 37°C for 24 h under 5% CO2 | |
| 48:00 | Evaluation of microscopic alterations using microscopy |
| Discard the culture medium | |
| Add 50 µmL of MTT solution | |
| Incubate for 2 h at 37°C under 5% CO2 | |
| 51:00 | Remove MTT solution |
| Add 100 mL of isopropanol and sway to dissolve formazan crystals | |
| 51:30 | UV spectrometry at 570 nm to detect the absorption of purple crystal formazan |
One-way ANOVA of mean OD at 570 nm
| Groups | Mean | Standard deviation (SD) | Standard error (SE) |
|
|
|---|---|---|---|---|---|
| R0 | 0.302 | 0.151 | 0.087 | 1570.682 | > 0.05 |
| R10 | 0.303 | 0.348 | 0.201 | ||
| R20 | 0.303 | 0.848 | 0.490 | ||
| R30 | 0.302 | 1.348 | 0.779 | ||
| R40 | 0.303 | 1.848 | 1.068 | ||
| R50 | 0.301 | 2.349 | 1.357 | ||
| NC | 0.327 | 0.003 | 0.002 | ||
| PC | 0.071 | 0.004 | 0.002 |
One-way ANOVA of the mean of cell viability %
| Groups | Mean | Standard deviation (SD) | Standard error (SE) |
|
|
|---|---|---|---|---|---|
| R0 | 92.633 | 1.413 | 0.815 | 1570.682 | > 0.05 |
| R10 | 92.726 | 0.983 | 0.567 | ||
| R20 | 92.956 | 0.505 | 0.291 | ||
| R30 | 92.540 | 1.458 | 0.841 | ||
| R40 | 92.930 | 0.211 | 0.122 | ||
| R50 | 92.313 | 1.189 | 0.686 | ||
| NC | 100.00 | 1.220 | 0.704 | ||
| PC | 21.950 | 1.283 | 0.741 |
Post hoc Scheffe test of OD
| Group | Comparative group | Mean difference | SE | Significance |
|---|---|---|---|---|
| R0 | R10 | -0.00030520 | 0.00297633 | 1.000 |
| R0 | R20 | -0.00105730 | 0.00297633 | 1.000 |
| R0 | R30 | 0.00030520 | 0.00297633 | 1.000 |
| R0 | R40 | -0.00097010 | 0.00297633 | 1.000 |
| R0 | R50 | 0.00104640 | 0.00297633 | 1.000 |
| R0 | NC | -0.02408900* | 0.00297633 | 0.000 |
| R0 | PC | 0.23113450* | 0.00297633 | 0.000 |
| R10 | R20 | -0.00075210 | 0.00297633 | 1.000 |
| R10 | R30 | 0.00061040 | 0.00297633 | 1.000 |
| R10 | R40 | -0.00066490 | 0.00297633 | 1.000 |
| R10 | R50 | 0.00135160 | 0.00297633 | 1.000 |
| R10 | NC | -0.02378380* | 0.00297633 | 0.000 |
| R10 | PC | 0.23143970* | 0.00297633 | 0.000 |
| R20 | R30 | 0.00136250 | 0.00297633 | 1.000 |
| R20 | R40 | 0.00008720 | 0.00297633 | 1.000 |
| R20 | R50 | 0.00210370 | 0.00297633 | 0.999 |
| R20 | NC | -0.02303170* | 0.00297633 | 0.000 |
| R20 | PC | 0.23219180* | 0.00297633 | 0.000 |
| R30 | R40 | 0.00127530 | 0.00297633 | 1.000 |
| R30 | R50 | 0.00074120 | 0.00297633 | 1.000 |
| R30 | NC | -0.02439420* | 0.00297633 | 0.000 |
| R30 | PC | 0.23082930* | 0.00297633 | 0.000 |
| R40 | R50 | 0.00201650 | 0.00297633 | 0.999 |
| R40 | NC | -0.02311890* | 0.00297633 | 0.000 |
| R40 | PC | 0.23210460* | 0.00297633 | 0.000 |
| R50 | NC | -0.02513540* | 0.00297633 | 0.000 |
| R50 | PC | 0.23008810* | 0.00297633 | 0.000 |
| NC | PC | -0.25522350* | 0.00297633 | 0.000 |
*Statistically significant mean difference
Post hoc Scheffe test of cell viability %
| Group | Comparative group | Mean difference | SE | Significance |
|---|---|---|---|---|
| R0 | R10 | -0.09333 | 0.91019 | 1.000 |
| R0 | R20 | -0.32333 | 0.91019 | 1.000 |
| R0 | R30 | 0.09333 | 0.91019 | 1.000 |
| R0 | R40 | -0.29667 | 0.91019 | 1.000 |
| R0 | R50 | 0.32000 | 0.91019 | 1.000 |
| R0 | NC | -7.36667* | 0.91019 | 0.000 |
| R0 | PC | 70.68333* | 0.91019 | 0.000 |
| R10 | R20 | -0.23000 | 0.91019 | 1.000 |
| R10 | R30 | 0.18667 | 0.91019 | 1.000 |
| R10 | R40 | -0.20333 | 0.91019 | 1.000 |
| R10 | R50 | 0.41333 | 0.91019 | 1.000 |
| R10 | NC | -7.27333* | 0.91019 | 0.000 |
| R10 | PC | 70.77667* | 0.91019 | 0.000 |
| R20 | R30 | 0.41667 | 0.91019 | 1.000 |
| R20 | R40 | 0.02667 | 0.91019 | 1.000 |
| R20 | R50 | 0.64333 | 0.91019 | 0.999 |
| R20 | NC | -7.04333* | 0.91019 | 0.000 |
| R20 | PC | 71.00667* | 0.91019 | 0.000 |
| R30 | R40 | -0.39000 | 0.91019 | 1.000 |
| R30 | R50 | 0.22667 | 0.91019 | 1.000 |
| R30 | NC | -7.46000* | 0.91019 | 0.000 |
| R30 | PC | 70.59000* | 0.91019 | 0.000 |
| R40 | R50 | -0.61667 | 0.91019 | 0.999 |
| R40 | NC | -7.07000* | 0.91019 | 0.000 |
| R40 | PC | 70.98000* | 0.91019 | 0.000 |
| R50 | NC | -7.68667* | 0.91019 | 0.000 |
| R50 | PC | 70.36333* | 0.91019 | 0.000 |
| NC | PC | 7.27333* | 0.91019 | 0.000 |
*Statistically significant mean difference