,
pages 283-305
Chitosan Based Hybrid Polymeric Systems in Diabetes Monitoring
Lovepreet Kaur
1
,
Neelam
1
,
Younis Ahmad Hajam
1
,
Rajesh Kumar
2
,
Mohd Salim Reshi
3
,
Seema Rai
4
1
Department of Life Sciences and Allied Health Sciences, Sant Baba Bhag Singh University, Jalandhar, India
|
Publication type: Book Chapter
Publication date: 2023-04-12
SJR: —
CiteScore: —
Impact factor: —
ISSN: 16187210, 21975647
Abstract
Diabetes is an endocrinometabolic disorder caused due to the irregular glucose metabolism. Insulin is secreted by pancreatic islets of β-cells. Hence, the pancreas is known as a “glucose regulator” that facilitates in regulating the synthesis and secretion of insulin which in turn facilitates in keeping blood glucose in balance. The complications related to diabetes range from hyperglycemia, metabolic dysfunction, reproductive abnormalities, neuronal and renal damage. Various drugs and remedies are available for the treatment of diabetes coming from allopathy, homeopathy and ayurveda and are available since the past few decades. Moreover, in current era, nanomedicines prepared from various different plant parts and other polymeric compounds are are under consideration for the treatment of polygenic disease and associated complications. However, they are also having some demerits. Therefore, chitosanChitosan based nanopolymeric might be a better option for the treatment of diabetes and associated complication. In this chapter chitosanChitosan based nanoformualtions has been discussed along with their role in treating of diabetes.
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Kaur L. et al. Chitosan Based Hybrid Polymeric Systems in Diabetes Monitoring // Computational Modeling of Biological Systems. 2023. pp. 283-305.
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Kaur L., Neelam, Hajam Y. A., Kumar R., Reshi M. S., Rai S. Chitosan Based Hybrid Polymeric Systems in Diabetes Monitoring // Computational Modeling of Biological Systems. 2023. pp. 283-305.
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TY - GENERIC
DO - 10.1007/978-981-19-9646-7_12
UR - https://doi.org/10.1007/978-981-19-9646-7_12
TI - Chitosan Based Hybrid Polymeric Systems in Diabetes Monitoring
T2 - Computational Modeling of Biological Systems
AU - Kaur, Lovepreet
AU - Neelam
AU - Hajam, Younis Ahmad
AU - Kumar, Rajesh
AU - Reshi, Mohd Salim
AU - Rai, Seema
PY - 2023
DA - 2023/04/12
PB - Springer Nature
SP - 283-305
SN - 1618-7210
SN - 2197-5647
ER -
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@incollection{2023_Kaur,
author = {Lovepreet Kaur and Neelam and Younis Ahmad Hajam and Rajesh Kumar and Mohd Salim Reshi and Seema Rai},
title = {Chitosan Based Hybrid Polymeric Systems in Diabetes Monitoring},
publisher = {Springer Nature},
year = {2023},
pages = {283--305},
month = {apr}
}