Title: Diagnosing metabolic diseases by nanoparticle immobilization
Abstract: Metabolic disease is a group of conditions that expand the risk of heart disease, stroke, and type 2 diabetes. High blood sugar, blood pressure, excess body fat around the waist, and abnormal cholesterol or triglyceride levels are included in this kind of metabolic disease that seems dangerous to human beings. The development of metabolic disease happened when the organs, such as the liver and pancreas did not function properly and triggered metabolic disease. Metabolic diseases happen at the point when irregular compound responses in the human body can modify the typical metabolic procedures. Metabolic diseases can be defined as an inherited single gene, mostly autosomal recessive. The principal classes of metabolic diseases include metabolic brain diseases, calcium metabolism disorder, acid-base imbalance, and glucose metabolism disorders. Diagnosing metabolic diseases was tedious and depending on which type of disease was involved, and currently, by using DNA tests, we can identify the disease but it takes several hours and only a professional person in charge can analyze the result. Advances in diagnosing metabolic diseases by nanoparticle immobilization establish a promising exploration area with favorable impacts on the treatment of diseases. Nanotechnology based on nanoparticle implementation was useful for the metabolic disorder diagnosis to prevent the disease from going viral to develop. Biosensor based on nanoparticles has been applied in several detections including metabolic illnesses to improve accessible analytical methods. Point-of-care (POC) sensor devices have been developed for metabolic disease and offer outcomes, quicker, simpler and at a lower cost than conventional methods. It also can be used in remote regions for metabolic diagnosis. In this chapter, different nanoparticle immobilization has been discussed to diagnose metabolic diseases by using it in clinical approach.
Publication Year: 2020
Publication Date: 2020-12-16
Language: en
Type: book-chapter
Indexed In: ['crossref']
Access and Citation
Cited By Count: 2
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