Comparative Study on the Healing Efficacy of Nano-chitosan and Collagen–Chitosan Membrane in Maxillofacial Soft Tissue


  • Dr. Rajendra Singh Reader, Department of Oral & Maxillofacial Surgery, Jaipur Dental College & Hospital, Jaipur, Rajasthan, India Author


Chitosan, Soft‑tissue Healing, Chlorhexidine, Collagen–Chitosan, Nano-Chitosan



Introduction: Managing soft-tissue injuries in maxillofacial trauma necessitates a systematic approach to avoid potential complications. This study investigates the impact of a newly developed surgical dressing material on pain, wound healing, and scarring, while also exploring its practicality for the general population. Our objective is to assess the effectiveness and capabilities of the nano-chitosan membrane and collagen–chitosan membrane as surgical dressings for soft-tissue wounds in the maxillofacial region. Materials and Methods: Thirty participants with soft-tissue injuries in the maxillofacial region were enrolled in the study. Following suturing, Group A received treatment with nano-chitosan membrane containing chlorhexidine, Group B received treatment with collagen–chitosan membrane containing chlorhexidine, and Group C underwent conventional wound care with chlorhexidine powder. Participants were monitored and assessed for wound healing, pain, and scarring on the seventh day, one month, and three months postoperatively. Results: Both Group A and B demonstrated comparable wound healing efficacy, with Group A exhibiting superior results compared to the conventional chlorhexidine dressing. Regarding pain intensity, Group A reported lower pain levels and displayed improved scar assessments at the three-month follow-up. Discussion: This study establishes that while the wound healing efficacy of nano-chitosan and collagen–chitosan membranes is similar, nano-chitosan outperforms in the evaluation of key parameters such as wound healing, pain, and scarring. Nano-chitosan membrane demonstrates superior wound healing compared to traditional chlorhexidine dressing materials.