The Effectiveness Of Green Grass Jelly Leaf Extract Gel On Guinea Pig Gingival Incised Wounds
Putu Sulistiawati Dewi,Mochammad Taha Ma^ruf,AA Istri Tamara C Wiradana

Fakultas Kedokteran Gigi, Universitas Mahasaraswati Denpasar.


Abstract

Abstract

Background: the wound healing process is a multifaceted sequence of phases that are intricately interconnected. Utilizing natural remedies derived from local flora is a common approach for wound healing, with green grass jelly leaves being one such traditional resource. Objectives: to determine the impact of green grass jelly leaf extract gel on collagen density during wound healing across varying concentrations. Methods: the green grass jelly leaves were subjected to maceration using 96% ethanol to obtain the extract. 24 male guinea pigs weighing between 200-300 grams and aged 2-3 months were utilized, divided into 4 groups. Group 1 received 60% green grass jelly leaf extract gel, group 2 received 70% gel, group 3 received 80% gel, and a negative control group received 2% Carboxymethyl Cellulose Sodium (CMC Na) gel. On day 7, the guinea pigs were euthanized, and histopathological preparations of gingival tissue were conducted for collagen density analysis. The research data were analyzed using one way ANOVA and continued with LSD. Results: the average collagen density was significantly higher in the 80% green grass jelly leaf extract gel group (401.67 collagen cells) with p<0.05, compared to both the 60% (362.50 collagen cells) and 70% (391.67 collagen cells) groups with p>0.05. However, there was no significant difference observed between the 60% and 70% concentrations (p>0.05). Conclusion: the 80% concentration of green grass jelly leaf extract gel exhibits greater efficacy in enhancing collagen density during wound healing compared to lower concentrations of 60% and 70%.

Keywords: Gel, Green grass jelly leaf exctract, Collagen density, Gingival incision wound, Guinea pig.

Topic: Oral and Maxillofacial Surgery

ICDenTeMS 2024 Conference | Conference Management System