Author(s): Van Meerbeek B, De Munck J, Yoshida Y, Inoue S, Vargas M, et al.
Bonding to tooth tissue can be achieved through an "etch&rinse," "self-etch" or "glass-ionomer" approach. In this paper, the basic bonding mechanism to enamel and dentin of these three approaches is demonstrated by means of ultramorphological and chemical characterization of tooth-biomaterial interfacial interactions. Furthermore, bond-strength testing and measurement of marginal-sealing effectiveness (the two most commonly employed methodologies to determine "bonding effectiveness" in the laboratory) are evaluated upon their value and relevance in predicting clinical performance. A new dynamic methodology to test biomaterial-tooth bonds in a fatigue mode is introduced with a recently developed micro-rotary fatigue-testing device. Eventually, today's adhesives will be critically weighted upon their performance in diverse laboratory studies and clinical trials. Special attention has been given to the benefits/drawbacks of an etch&rinse versus a self-etch approach and the long-term performance of these adhesives. Correlating data gathered in the laboratory with clinical results clearly showed that laboratory research CAN predict clinical effectiveness. Although there is a tendency to simplify bonding procedures, the data presented confirm that conventional three-step etch&rinse adhesives still perform most favorably and are most reliable in the long-term. Nevertheless, a self-etch approach may have the best future perspective. Clinically, when adhesives no longer require an "etch&rinse" step, the application time, and probably more importantly, the technique-sensitivity are substantially reduced. Especially "mild," two-step self-etch adhesives that bond through a combined micromechanical and chemical interaction with tooth tissue closely approach conventional three-step systems in bonding performance.
Referred From: https://www.ncbi.nlm.nih.gov/pubmed/12760693
Author(s): Miranda C, Prates LH, Vieira Rde S, Calvo MC
Author(s): Yazici AR, Celik C, Ozgünaltay G, Dayangaç B
Author(s): Paradella TC, Fava M
Author(s): El Zohairy AA, Saber MH, Abdalla AI, Feilzer AJ
Author(s): Hashimoto M, Ohno H, Yoshida E, Hori M, Sano H, et al.
Author(s): Glasspoole EA, Erickson RL, Davidson CL
Author(s): Beloica M, Goracci C, Carvalho CA, Radovic I, Margvelashvili M, et al.
Author(s): Yazici AR, Yildirim Z, Ertan A, Ozgunaltay G, Dayangac B, et al.
Author(s): Lopes GC, Marson FC, Vieira LC, de Caldeira AM, Baratieri LN
Author(s): Ebrahimi SF, Shadman N, Abrishami A
Author(s): Van Landuyt KL, Snauwaert J, De Munck J, Peumans M, Yoshida Y, et al.
Author(s): Stockton LW, Tsang ST
Author(s): Braga RR, Cesar PF, Gonzaga CC
Author(s): Gallo JR, Comeaux R, Haines B, Xu X, Burgess JO
Author(s): Atash R, Van den Abbeele A
Author(s): Pashley DH, Tay FR
Author(s): Abdalla AI, El Zohairy AA, Abdel Mohsen MM, Feilzer AJ
Author(s): Yoshida Y, Nagakane K, Fukuda R, Nakayama Y, Okazaki M, et al.
Author(s): Nagayassu MP, Shintome LK, Arana-Chavez VE, Fava M
Author(s): Marquezan M, da Silveira BL, Burnett LH Jr, Rodrigues CR, Kramer PF
Author(s): Perdigão J, May KN Jr, Wilder AD Jr, Lopes M
Author(s): Tezvergil A, Lassila LV, Vallittu PK