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Title

Snowplow technique affecting shear bond strength of nanohybrid composite using various lining techniques: An in vitro study

 

Authors

Arohan Singh1, Sakshi Agarwal2, Sanjeev Srivastava3,*, Saraswati Sachan4 & Pragyan Paliwal5

 

Affiliation

Department of Conservative Dentistry and Endodontics, Sardar Patel Post Graduate Institute of Dental and Medical Sciences, Lucknow, Uttar Pradesh, India; *Corresponding author

 

Email

Arohan Singh - E-mail: arohansingh@gmail.com; Phone: +91 9450093920

Sakshi Agarwal - E-mail: sakshiagarwal1161996@gmail.com; Phone: +91 843309597

Sanjeev Srivastava - E-mail: sanjeevsrivastava409@gmail.com; Phone: +91 9415064214

Saraswati Sachan - E-mail: Saraswatisachan90@gmail.com; Phone: +91 9918648816

Pragyan Paliwal - E-mail: pragya.plwl@gmail.com; Phone: +91 9454288772

 

Article Type

Research Article

 

Date

Received July 1, 2026; Revised July 31, 2026; Accepted July 31, 2026, Published July 31, 2026
 

Abstract

Based on the significance of adhesion during restoration procedure this in vitro study evaluated the shear bond strength of nanohybrid composite using various lining materials with Snowplow technique. Hence, forty-eight premolars were subjected to shear bond strength testing using a universal testing machine. Results were statistically evaluated using ANOVA and Tukey’s post hoc test. Group D with compomer showed the highest shear bond strength which was 26.10 ± 1.54 MPa followed by Group C (Giomer) with a shear bond strength of 13.71 ± 0.75 MPa, Group B (RMGIC) had shear bond strength of 7.46 ± 0.33 MPa and Group A (No liner ) showed the least shear bond strength of 5.72 ± 0.56 MPa. Thus, data shows the utilizing different liners with Snowplow technique can increase the bond strength of nanohybrid composite.

 

Keywords

Flowable compomer, giomer, nanohybrid composite, Resin-Modified Glass Ionomer Cement (RMGIC), shear bond strength, universal testing machine

 

Citation

Singh et al. Bioinformation 22(7): 4002-4007 (2026)

 

Edited by

Rashmi Laddha 

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.