38th World Summit on Neurology, Psychiatry & Mental Health
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Accepted Abstracts

Design of Suture Based on Carbohydrate Polymers

N Gokarneshan*
Department of Textile Technology, SSM College of Engineering, Komarapalayam, Namakkal district, TamilNadu, India.

Citation: N Gokarneshan (2023 ) Design of Suture Based on Carbohydrate Polymers. SciTech Neuro-Mental Health 2023.

Received: February 23, 2023         Accepted: February 25, 2023         Published: February 25, 2023

Abstract

Suture materials have a major share among biomedical materials used, with a size able world market exceeding over a billion dollars per year with employ procedures large nnumber annually. They have been developed over decades, commencing as basic strips oflinen upto more advanced synthetic polymer sutures in recent years. Howsoever, the perfectsuture material is yet to be achieved and as of now improved suture materials with greatersafety and efficacy have been developed. The further development of suture materials relatesto natural carbohydrate polymers that have so far not been taken into account for use assuture materials. The recent and crucial developments in suture material design have beendealt with herein taking into consideration the role of natural carbohydrate in the futuredevelopment of sutures.
It is evident that focus is on design of novel suture materials having enhancedbiocompatibility and effectiveness can be made possible by natural and carbohydrate-based,polymers. It arises from many years of traditional use and study with a wide and varied rangeof materials that have not been able to comply with the stringent requirements of an idealsuture material. Presently a situation has arisen wherein the setbacks and limitations ofexisting synthetic degradable sutures like localized pH shifts, high levels of inflammation anddebilitating cellular necrosis demand immediate attention. Additionally, biomedical sciencesand surgical procedures have advanced to such a level that there is no longer room for suturematerials with the singular function of tissue approximation.