Arigela Sai VAMSI, Aysha Jebin A, Munivenkatappa Lakshmaiah Venkatesh PRABHUJI
Cumhuriyet Dental Journal - 2026;29(2):201-208
Objectives: The use of platelet-rich products to treat a variety of clinical dental conditions has gained popularity in recent years. However, there is a risk that these products could become contaminated with silica. The aim of this study was to quantitatively compare titanium and silica ion release from titanium-prepared platelet-rich fibrin (T-PRF) and leukocyte platelet-rich fibrin (L-PRF) using ICP-OES analysis and to evaluate differences in fibrin network architecture through histological assessment. Materials and Methods: In this study blood is collected from the selected patients through anti-cubital vein and used to detect the titanium and silica composition in T-PRF and L-PRF using Inductively Coupled Plasma - Optical Emission Spectrometry [ICP-OES]. Additionally, the structural differences between the fibrin networks in T-PRF and L-PRF are compared using hematoxylin and eosin staining and phosphotungstic acid hematoxylin staining [PTAH]. Results: ICP-OES analysis demonstrated significant differences in elemental ion release between the two groups. Titanium ion concentration was significantly higher in T-PRF (18.49 +/- 1.63 ppm) compared with L-PRF (0.61 +/- 0.37 ppm), while silica ion concentration was markedly higher in L-PRF (36.89 +/- 2.49 ppm) than in T-PRF (3.46 +/- 1.67 ppm) (p < 0.001 for both comparisons). Paired analysis showed very large effect sizes with statistical power exceeding 99%. Histological evaluation using PTAH and hematoxylin-eosin staining revealed significant structural differences, with T-PRF exhibiting a denser fibrin mesh and smaller pore architecture compared to L-PRF. Conclusions: This study emphasized that, T-PRF is having a strong fibrin network, with less potential contamination with silica. And it is safest regenerative material to use in clinical practice. This study is first of its kind analysing the titanium and silica ions in L PRF and TPRF using ICP-OES analysis.
